Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c10e' (ED25519) to the list of known hosts.

You can reproduce this build on your computer by running:

  sudo dnf install copr-rpmbuild
  /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/9109274-fedora-41-x86_64 --chroot fedora-41-x86_64


Version: 1.3
PID: 8937
Logging PID: 8938
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': False,
 'bootstrap': 'off',
 'build_id': 9109274,
 'buildroot_pkgs': [],
 'chroot': 'fedora-41-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': '361072447a644da556004625dea6935b0a55414e',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-DAISIE',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'R-CRAN-DAISIE',
 'package_version': '4.6.0-1.copr9109274',
 'project_dirname': 'cran',
 'project_name': 'cran',
 'project_owner': 'iucar',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/iucar/cran/fedora-41-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': 'iucar/cran--iucar',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': None,
 'submitter': 'iucar',
 'tags': [],
 'task_id': '9109274-fedora-41-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-DAISIE /var/lib/copr-rpmbuild/workspace/workdir-qj7qdpd3/R-CRAN-DAISIE --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-DAISIE', '/var/lib/copr-rpmbuild/workspace/workdir-qj7qdpd3/R-CRAN-DAISIE', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-qj7qdpd3/R-CRAN-DAISIE'...

Running: git checkout 361072447a644da556004625dea6935b0a55414e --

cmd: ['git', 'checkout', '361072447a644da556004625dea6935b0a55414e', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-qj7qdpd3/R-CRAN-DAISIE
rc: 0
stdout: 
stderr: Note: switching to '361072447a644da556004625dea6935b0a55414e'.

You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.

If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:

  git switch -c <new-branch-name>

Or undo this operation with:

  git switch -

Turn off this advice by setting config variable advice.detachedHead to false

HEAD is now at 3610724 automatic import of R-CRAN-DAISIE

Running: dist-git-client sources

cmd: ['dist-git-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-qj7qdpd3/R-CRAN-DAISIE
rc: 0
stdout: 
stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD
INFO: Reading stdout from command: git rev-parse HEAD
INFO: Reading sources specification file: sources
INFO: Downloading DAISIE_4.6.0.tar.gz
INFO: Reading stdout from command: curl --help all
INFO: Calling: curl -H Pragma: -o DAISIE_4.6.0.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/iucar/cran/R-CRAN-DAISIE/DAISIE_4.6.0.tar.gz/md5/645f687f5330d8b188a71e2fc12f18f6/DAISIE_4.6.0.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 1191k  100 1191k    0     0  13.8M      0 --:--:-- --:--:-- --:--:-- 14.0M
/usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated
INFO: Reading stdout from command: md5sum DAISIE_4.6.0.tar.gz

Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-qj7qdpd3/R-CRAN-DAISIE/R-CRAN-DAISIE.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-qj7qdpd3/R-CRAN-DAISIE --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1748829777.705636 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 6.2 starting (python version = 3.13.0, NVR = mock-6.2-1.fc41), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-qj7qdpd3/R-CRAN-DAISIE/R-CRAN-DAISIE.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-qj7qdpd3/R-CRAN-DAISIE --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1748829777.705636 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
Start: init plugins
INFO: tmpfs initialized
INFO: selinux enabled
INFO: chroot_scan: initialized
INFO: compress_logs: initialized
Finish: init plugins
INFO: Signal handler active
Start: run
INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-qj7qdpd3/R-CRAN-DAISIE/R-CRAN-DAISIE.spec)  Config(fedora-41-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 6.2
INFO: Mock Version: 6.2
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-41-x86_64-1748829777.705636/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Package manager dnf5 detected and used (fallback)
INFO: Buildroot is handled by package management from host and used with --installroot:
  rpm-4.20.1-1.fc41.x86_64
  rpm-sequoia-1.7.0-2.fc41.x86_64
  python3-dnf-4.23.0-1.fc41.noarch
  python3-dnf-plugins-core-4.10.1-1.fc41.noarch
  dnf5-5.2.13.1-1.fc41.x86_64
  dnf5-plugins-5.2.13.1-1.fc41.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 updates                                100% |   1.2 MiB/s |  10.0 MiB |  00m08s
 fedora                                 100% |   9.5 MiB/s |  36.4 MiB |  00m04s
 Copr repository                        100% |  23.7 MiB/s |  12.8 MiB |  00m01s
Repositories loaded.
Package                            Arch   Version                     Repository      Size
Installing group/module packages:
 bash                              x86_64 5.2.32-1.fc41               fedora       8.2 MiB
 bzip2                             x86_64 1.0.8-19.fc41               fedora      95.7 KiB
 coreutils                         x86_64 9.5-11.fc41                 updates      5.7 MiB
 cpio                              x86_64 2.15-2.fc41                 fedora       1.1 MiB
 diffutils                         x86_64 3.10-8.fc41                 fedora       1.6 MiB
 fedora-release-common             noarch 41-32                       updates     19.7 KiB
 findutils                         x86_64 1:4.10.0-4.fc41             fedora       1.8 MiB
 gawk                              x86_64 5.3.0-4.fc41                fedora       1.7 MiB
 glibc-minimal-langpack            x86_64 2.40-25.fc41                updates      0.0   B
 grep                              x86_64 3.11-9.fc41                 fedora       1.0 MiB
 gzip                              x86_64 1.13-2.fc41                 fedora     389.0 KiB
 info                              x86_64 7.1.1-1.fc41                updates    361.7 KiB
 patch                             x86_64 2.7.6-25.fc41               fedora     266.7 KiB
 redhat-rpm-config                 noarch 294-1.fc41                  updates    183.6 KiB
 rpm-build                         x86_64 4.20.1-1.fc41               updates    193.8 KiB
 sed                               x86_64 4.9-3.fc41                  fedora     861.5 KiB
 shadow-utils                      x86_64 2:4.15.1-12.fc41            fedora       4.1 MiB
 tar                               x86_64 2:1.35-4.fc41               fedora       2.9 MiB
 unzip                             x86_64 6.0-64.fc41                 fedora     386.8 KiB
 util-linux                        x86_64 2.40.4-1.fc41               updates      3.6 MiB
 which                             x86_64 2.21-42.fc41                fedora      80.2 KiB
 xz                                x86_64 1:5.8.1-2.fc41              updates      1.3 MiB
Installing dependencies:
 add-determinism                   x86_64 0.3.6-3.fc41                updates      2.4 MiB
 alternatives                      x86_64 1.31-1.fc41                 updates     64.8 KiB
 ansible-srpm-macros               noarch 1-16.fc41                   fedora      35.7 KiB
 audit-libs                        x86_64 4.0.3-1.fc41                updates    351.3 KiB
 authselect                        x86_64 1.5.0-8.fc41                fedora     157.6 KiB
 authselect-libs                   x86_64 1.5.0-8.fc41                fedora     822.2 KiB
 basesystem                        noarch 11-21.fc41                  fedora       0.0   B
 binutils                          x86_64 2.43.1-5.fc41               updates     27.4 MiB
 build-reproducibility-srpm-macros noarch 0.3.6-3.fc41                updates    735.0   B
 bzip2-libs                        x86_64 1.0.8-19.fc41               fedora      80.7 KiB
 ca-certificates                   noarch 2024.2.69_v8.0.401-1.0.fc41 fedora       2.4 MiB
 coreutils-common                  x86_64 9.5-11.fc41                 updates     11.2 MiB
 cracklib                          x86_64 2.9.11-6.fc41               fedora     238.9 KiB
 crypto-policies                   noarch 20250124-1.git4d262e7.fc41  updates    137.4 KiB
 curl                              x86_64 8.9.1-3.fc41                updates    793.5 KiB
 cyrus-sasl-lib                    x86_64 2.1.28-27.fc41              fedora       2.3 MiB
 debugedit                         x86_64 5.1-6.fc41                  updates    200.9 KiB
 dwz                               x86_64 0.15-8.fc41                 fedora     298.9 KiB
 ed                                x86_64 1.20.2-2.fc41               fedora     146.9 KiB
 efi-srpm-macros                   noarch 5-13.fc41                   updates     40.2 KiB
 elfutils                          x86_64 0.193-2.fc41                updates      3.0 MiB
 elfutils-debuginfod-client        x86_64 0.193-2.fc41                updates     84.1 KiB
 elfutils-default-yama-scope       noarch 0.193-2.fc41                updates      1.8 KiB
 elfutils-libelf                   x86_64 0.193-2.fc41                updates      1.2 MiB
 elfutils-libs                     x86_64 0.193-2.fc41                updates    686.6 KiB
 fedora-gpg-keys                   noarch 41-1                        fedora     126.4 KiB
 fedora-release                    noarch 41-32                       updates      0.0   B
 fedora-release-identity-basic     noarch 41-32                       updates    654.0   B
 fedora-repos                      noarch 41-1                        fedora       4.9 KiB
 file                              x86_64 5.45-7.fc41                 fedora     103.5 KiB
 file-libs                         x86_64 5.45-7.fc41                 fedora       9.9 MiB
 filesystem                        x86_64 3.18-23.fc41                fedora     106.0   B
 fonts-srpm-macros                 noarch 1:2.0.5-17.fc41             fedora      55.8 KiB
 forge-srpm-macros                 noarch 0.4.0-1.fc41                updates     38.9 KiB
 fpc-srpm-macros                   noarch 1.3-13.fc41                 fedora     144.0   B
 gdb-minimal                       x86_64 16.3-1.fc41                 updates     13.3 MiB
 gdbm                              x86_64 1:1.23-7.fc41               fedora     460.9 KiB
 gdbm-libs                         x86_64 1:1.23-7.fc41               fedora     121.9 KiB
 ghc-srpm-macros                   noarch 1.9.1-2.fc41                fedora     747.0   B
 glibc                             x86_64 2.40-25.fc41                updates      6.7 MiB
 glibc-common                      x86_64 2.40-25.fc41                updates      1.0 MiB
 glibc-gconv-extra                 x86_64 2.40-25.fc41                updates      7.9 MiB
 gmp                               x86_64 1:6.3.0-2.fc41              fedora     811.4 KiB
 gnat-srpm-macros                  noarch 6-6.fc41                    fedora       1.0 KiB
 go-srpm-macros                    noarch 3.6.0-5.fc41                updates     60.8 KiB
 jansson                           x86_64 2.13.1-10.fc41              fedora      88.3 KiB
 json-c                            x86_64 0.17-4.fc41                 fedora      82.4 KiB
 kernel-srpm-macros                noarch 1.0-24.fc41                 fedora       1.9 KiB
 keyutils-libs                     x86_64 1.6.3-4.fc41                fedora      54.4 KiB
 krb5-libs                         x86_64 1.21.3-4.fc41               updates      2.3 MiB
 libacl                            x86_64 2.3.2-2.fc41                fedora      40.0 KiB
 libarchive                        x86_64 3.7.4-4.fc41                updates    926.6 KiB
 libattr                           x86_64 2.5.2-4.fc41                fedora      28.5 KiB
 libblkid                          x86_64 2.40.4-1.fc41               updates    257.2 KiB
 libbrotli                         x86_64 1.1.0-5.fc41                fedora     837.6 KiB
 libcap                            x86_64 2.70-4.fc41                 fedora     220.2 KiB
 libcap-ng                         x86_64 0.8.5-3.fc41                fedora      69.2 KiB
 libcom_err                        x86_64 1.47.1-6.fc41               fedora      67.2 KiB
 libcurl                           x86_64 8.9.1-3.fc41                updates    809.3 KiB
 libeconf                          x86_64 0.6.2-3.fc41                fedora      58.0 KiB
 libevent                          x86_64 2.1.12-14.fc41              fedora     895.7 KiB
 libfdisk                          x86_64 2.40.4-1.fc41               updates    356.4 KiB
 libffi                            x86_64 3.4.6-3.fc41                fedora      86.4 KiB
 libgcc                            x86_64 14.3.1-1.fc41               updates    274.6 KiB
 libgomp                           x86_64 14.3.1-1.fc41               updates    523.6 KiB
 libidn2                           x86_64 2.3.8-1.fc41                updates    556.6 KiB
 libmount                          x86_64 2.40.4-1.fc41               updates    348.8 KiB
 libnghttp2                        x86_64 1.62.1-3.fc41               updates    174.1 KiB
 libnsl2                           x86_64 2.0.1-2.fc41                fedora      57.9 KiB
 libpkgconf                        x86_64 2.3.0-1.fc41                fedora      78.2 KiB
 libpsl                            x86_64 0.21.5-4.fc41               fedora      80.5 KiB
 libpwquality                      x86_64 1.4.5-11.fc41               fedora     417.8 KiB
 libselinux                        x86_64 3.7-5.fc41                  fedora     181.0 KiB
 libsemanage                       x86_64 3.7-2.fc41                  fedora     293.5 KiB
 libsepol                          x86_64 3.7-2.fc41                  fedora     817.8 KiB
 libsmartcols                      x86_64 2.40.4-1.fc41               updates    176.2 KiB
 libssh                            x86_64 0.10.6-8.fc41               fedora     513.3 KiB
 libssh-config                     noarch 0.10.6-8.fc41               fedora     277.0   B
 libstdc++                         x86_64 14.3.1-1.fc41               updates      2.8 MiB
 libtasn1                          x86_64 4.20.0-1.fc41               updates    180.4 KiB
 libtirpc                          x86_64 1.3.6-1.rc3.fc41            updates    197.6 KiB
 libtool-ltdl                      x86_64 2.4.7-12.fc41               fedora      66.2 KiB
 libunistring                      x86_64 1.1-8.fc41                  fedora       1.7 MiB
 libutempter                       x86_64 1.2.1-15.fc41               fedora      57.7 KiB
 libuuid                           x86_64 2.40.4-1.fc41               updates     39.9 KiB
 libverto                          x86_64 0.3.2-9.fc41                fedora      29.5 KiB
 libxcrypt                         x86_64 4.4.38-7.fc41               updates    288.5 KiB
 libxml2                           x86_64 2.12.10-1.fc41              updates      1.7 MiB
 libzstd                           x86_64 1.5.7-1.fc41                updates    804.0 KiB
 lua-libs                          x86_64 5.4.7-3.fc41                updates    285.0 KiB
 lua-srpm-macros                   noarch 1-14.fc41                   fedora       1.3 KiB
 lz4-libs                          x86_64 1.10.0-1.fc41               fedora     145.5 KiB
 mpfr                              x86_64 4.2.1-5.fc41                fedora     832.1 KiB
 ncurses-base                      noarch 6.5-2.20240629.fc41         fedora     326.3 KiB
 ncurses-libs                      x86_64 6.5-2.20240629.fc41         fedora     975.2 KiB
 ocaml-srpm-macros                 noarch 10-3.fc41                   fedora       1.9 KiB
 openblas-srpm-macros              noarch 2-18.fc41                   fedora     112.0   B
 openldap                          x86_64 2.6.9-1.fc41                updates    645.3 KiB
 openssl-libs                      x86_64 1:3.2.4-1.fc41              updates      7.8 MiB
 p11-kit                           x86_64 0.25.5-3.fc41               fedora       2.2 MiB
 p11-kit-trust                     x86_64 0.25.5-3.fc41               fedora     391.4 KiB
 package-notes-srpm-macros         noarch 0.5-12.fc41                 fedora       1.6 KiB
 pam                               x86_64 1.6.1-7.fc41                updates      1.8 MiB
 pam-libs                          x86_64 1.6.1-7.fc41                updates    139.0 KiB
 pcre2                             x86_64 10.44-1.fc41.1              fedora     653.5 KiB
 pcre2-syntax                      noarch 10.44-1.fc41.1              fedora     251.6 KiB
 perl-srpm-macros                  noarch 1-56.fc41                   fedora     861.0   B
 pkgconf                           x86_64 2.3.0-1.fc41                fedora      88.6 KiB
 pkgconf-m4                        noarch 2.3.0-1.fc41                fedora      14.4 KiB
 pkgconf-pkg-config                x86_64 2.3.0-1.fc41                fedora     989.0   B
 popt                              x86_64 1.19-7.fc41                 fedora     136.9 KiB
 publicsuffix-list-dafsa           noarch 20250116-1.fc41             updates     68.5 KiB
 pyproject-srpm-macros             noarch 1.18.1-1.fc41               updates      1.9 KiB
 python-srpm-macros                noarch 3.13-3.fc41                 fedora      51.0 KiB
 qt5-srpm-macros                   noarch 5.15.15-1.fc41              fedora     500.0   B
 qt6-srpm-macros                   noarch 6.8.2-1.fc41                updates    456.0   B
 readline                          x86_64 8.2-10.fc41                 fedora     493.2 KiB
 rpm                               x86_64 4.20.1-1.fc41               updates      3.1 MiB
 rpm-build-libs                    x86_64 4.20.1-1.fc41               updates    210.7 KiB
 rpm-libs                          x86_64 4.20.1-1.fc41               updates    730.0 KiB
 rpm-sequoia                       x86_64 1.7.0-5.fc41                updates      2.4 MiB
 rust-srpm-macros                  noarch 26.3-3.fc41                 fedora       4.8 KiB
 setup                             noarch 2.15.0-8.fc41               updates    720.7 KiB
 sqlite-libs                       x86_64 3.46.1-3.fc41               updates      1.5 MiB
 systemd-libs                      x86_64 256.12-1.fc41               updates      2.0 MiB
 util-linux-core                   x86_64 2.40.4-1.fc41               updates      1.5 MiB
 xxhash-libs                       x86_64 0.8.3-1.fc41                updates     88.5 KiB
 xz-libs                           x86_64 1:5.8.1-2.fc41              updates    217.9 KiB
 zig-srpm-macros                   noarch 1-3.fc41                    fedora       1.1 KiB
 zip                               x86_64 3.0-41.fc41                 fedora     703.2 KiB
 zlib-ng-compat                    x86_64 2.2.3-2.fc41                updates    141.9 KiB
 zstd                              x86_64 1.5.7-1.fc41                updates      1.7 MiB
Installing groups:
 Buildsystem building group                                                               

Transaction Summary:
 Installing:       154 packages

Total size of inbound packages is 53 MiB. Need to download 53 MiB.
After this operation, 182 MiB extra will be used (install 182 MiB, remove 0 B).
[  1/154] bzip2-0:1.0.8-19.fc41.x86_64  100% | 739.8 KiB/s |  52.5 KiB |  00m00s
[  2/154] cpio-0:2.15-2.fc41.x86_64     100% |   2.5 MiB/s | 291.8 KiB |  00m00s
[  3/154] diffutils-0:3.10-8.fc41.x86_6 100% |   5.3 MiB/s | 405.4 KiB |  00m00s
[  4/154] grep-0:3.11-9.fc41.x86_64     100% |   4.0 MiB/s | 299.7 KiB |  00m00s
[  5/154] bash-0:5.2.32-1.fc41.x86_64   100% |   7.9 MiB/s |   1.8 MiB |  00m00s
[  6/154] gzip-0:1.13-2.fc41.x86_64     100% |   8.7 MiB/s | 170.2 KiB |  00m00s
[  7/154] patch-0:2.7.6-25.fc41.x86_64  100% |   8.0 MiB/s | 131.0 KiB |  00m00s
[  8/154] findutils-1:4.10.0-4.fc41.x86 100% |   3.7 MiB/s | 548.5 KiB |  00m00s
[  9/154] shadow-utils-2:4.15.1-12.fc41 100% |  33.8 MiB/s |   1.3 MiB |  00m00s
[ 10/154] sed-0:4.9-3.fc41.x86_64       100% |   6.7 MiB/s | 317.7 KiB |  00m00s
[ 11/154] which-0:2.21-42.fc41.x86_64   100% |   2.7 MiB/s |  41.6 KiB |  00m00s
[ 12/154] tar-2:1.35-4.fc41.x86_64      100% |  12.2 MiB/s | 860.7 KiB |  00m00s
[ 13/154] fedora-release-common-0:41-32 100% | 306.3 KiB/s |  23.9 KiB |  00m00s
[ 14/154] unzip-0:6.0-64.fc41.x86_64    100% |   1.3 MiB/s | 184.9 KiB |  00m00s
[ 15/154] coreutils-0:9.5-11.fc41.x86_6 100% |   6.8 MiB/s |   1.1 MiB |  00m00s
[ 16/154] glibc-minimal-langpack-0:2.40 100% |   2.0 MiB/s |  89.7 KiB |  00m00s
[ 17/154] redhat-rpm-config-0:294-1.fc4 100% |   2.0 MiB/s |  79.0 KiB |  00m00s
[ 18/154] info-0:7.1.1-1.fc41.x86_64    100% |   4.1 MiB/s | 182.0 KiB |  00m00s
[ 19/154] rpm-build-0:4.20.1-1.fc41.x86 100% |   1.8 MiB/s |  81.5 KiB |  00m00s
[ 20/154] util-linux-0:2.40.4-1.fc41.x8 100% |  19.0 MiB/s |   1.1 MiB |  00m00s
[ 21/154] xz-1:5.8.1-2.fc41.x86_64      100% |  10.6 MiB/s | 572.9 KiB |  00m00s
[ 22/154] ncurses-libs-0:6.5-2.20240629 100% |   1.1 MiB/s | 334.0 KiB |  00m00s
[ 23/154] filesystem-0:3.18-23.fc41.x86 100% |   2.7 MiB/s |   1.1 MiB |  00m00s
[ 24/154] bzip2-libs-0:1.0.8-19.fc41.x8 100% | 734.1 KiB/s |  41.1 KiB |  00m00s
[ 25/154] pcre2-0:10.44-1.fc41.1.x86_64 100% |   3.5 MiB/s | 243.1 KiB |  00m00s
[ 26/154] ed-0:1.20.2-2.fc41.x86_64     100% | 335.3 KiB/s |  81.8 KiB |  00m00s
[ 27/154] gawk-0:5.3.0-4.fc41.x86_64    100% |   1.2 MiB/s |   1.1 MiB |  00m01s
[ 28/154] libselinux-0:3.7-5.fc41.x86_6 100% | 211.1 KiB/s |  87.8 KiB |  00m00s
[ 29/154] libeconf-0:0.6.2-3.fc41.x86_6 100% |   1.4 MiB/s |  32.2 KiB |  00m00s
[ 30/154] libsemanage-0:3.7-2.fc41.x86_ 100% |   1.0 MiB/s | 116.3 KiB |  00m00s
[ 31/154] coreutils-common-0:9.5-11.fc4 100% |   4.9 MiB/s |   2.1 MiB |  00m00s
[ 32/154] gmp-1:6.3.0-2.fc41.x86_64     100% |   1.4 MiB/s | 318.0 KiB |  00m00s
[ 33/154] libacl-0:2.3.2-2.fc41.x86_64  100% |  27.8 KiB/s |  24.5 KiB |  00m01s
[ 34/154] fedora-repos-0:41-1.noarch    100% | 401.4 KiB/s |   9.2 KiB |  00m00s
[ 35/154] libcap-0:2.70-4.fc41.x86_64   100% |   2.2 MiB/s |  86.7 KiB |  00m00s
[ 36/154] mpfr-0:4.2.1-5.fc41.x86_64    100% |   3.3 MiB/s | 346.3 KiB |  00m00s
[ 37/154] readline-0:8.2-10.fc41.x86_64 100% |   2.1 MiB/s | 213.2 KiB |  00m00s
[ 38/154] glibc-common-0:2.40-25.fc41.x 100% |   2.2 MiB/s | 378.2 KiB |  00m00s
[ 39/154] ansible-srpm-macros-0:1-16.fc 100% |  65.1 KiB/s |  20.8 KiB |  00m00s
[ 40/154] file-0:5.45-7.fc41.x86_64     100% | 818.8 KiB/s |  49.1 KiB |  00m00s
[ 41/154] libattr-0:2.5.2-4.fc41.x86_64 100% |  11.9 KiB/s |  18.2 KiB |  00m02s
[ 42/154] fpc-srpm-macros-0:1.3-13.fc41 100% | 284.4 KiB/s |   8.0 KiB |  00m00s
[ 43/154] dwz-0:0.15-8.fc41.x86_64      100% | 335.5 KiB/s | 138.9 KiB |  00m00s
[ 44/154] fonts-srpm-macros-1:2.0.5-17. 100% | 128.4 KiB/s |  27.0 KiB |  00m00s
[ 45/154] gnat-srpm-macros-0:6-6.fc41.n 100% | 559.5 KiB/s |   9.0 KiB |  00m00s
[ 46/154] lua-srpm-macros-0:1-14.fc41.n 100% | 554.9 KiB/s |   8.9 KiB |  00m00s
[ 47/154] kernel-srpm-macros-0:1.0-24.f 100% | 616.8 KiB/s |   9.9 KiB |  00m00s
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[ 51/154] perl-srpm-macros-0:1-56.fc41. 100% | 567.5 KiB/s |   8.5 KiB |  00m00s
[ 52/154] python-srpm-macros-0:3.13-3.f 100% |   1.3 MiB/s |  23.7 KiB |  00m00s
[ 53/154] qt5-srpm-macros-0:5.15.15-1.f 100% | 556.2 KiB/s |   8.9 KiB |  00m00s
[ 54/154] zig-srpm-macros-0:1-3.fc41.no 100% | 507.7 KiB/s |   8.1 KiB |  00m00s
[ 55/154] rust-srpm-macros-0:26.3-3.fc4 100% | 281.6 KiB/s |  12.1 KiB |  00m00s
[ 56/154] ghc-srpm-macros-0:1.9.1-2.fc4 100% |  41.2 KiB/s |   9.1 KiB |  00m00s
[ 57/154] zip-0:3.0-41.fc41.x86_64      100% |   4.1 MiB/s | 264.8 KiB |  00m00s
[ 58/154] rpm-0:4.20.1-1.fc41.x86_64    100% |   9.8 MiB/s | 549.6 KiB |  00m00s
[ 59/154] libcap-ng-0:0.8.5-3.fc41.x86_ 100% |   1.7 MiB/s |  32.6 KiB |  00m00s
[ 60/154] util-linux-core-0:2.40.4-1.fc 100% |   9.2 MiB/s | 492.2 KiB |  00m00s
[ 61/154] libutempter-0:1.2.1-15.fc41.x 100% |   1.4 MiB/s |  26.6 KiB |  00m00s
[ 62/154] ncurses-base-0:6.5-2.20240629 100% |   3.1 MiB/s |  88.3 KiB |  00m00s
[ 63/154] popt-0:1.19-7.fc41.x86_64     100% | 573.2 KiB/s |  65.9 KiB |  00m00s
[ 64/154] xz-libs-1:5.8.1-2.fc41.x86_64 100% |   2.1 MiB/s | 112.4 KiB |  00m00s
[ 65/154] libsepol-0:3.7-2.fc41.x86_64  100% |   5.6 MiB/s | 342.2 KiB |  00m00s
[ 66/154] pcre2-syntax-0:10.44-1.fc41.1 100% |   3.4 MiB/s | 149.9 KiB |  00m00s
[ 67/154] fedora-gpg-keys-0:41-1.noarch 100% |   1.8 MiB/s | 133.7 KiB |  00m00s
[ 68/154] file-libs-0:5.45-7.fc41.x86_6 100% |   8.2 MiB/s | 762.0 KiB |  00m00s
[ 69/154] glibc-0:2.40-25.fc41.x86_64   100% |  24.3 MiB/s |   2.2 MiB |  00m00s
[ 70/154] basesystem-0:11-21.fc41.noarc 100% | 388.0 KiB/s |   7.4 KiB |  00m00s
[ 71/154] glibc-gconv-extra-0:2.40-25.f 100% |  17.5 MiB/s |   1.7 MiB |  00m00s
[ 72/154] rpm-libs-0:4.20.1-1.fc41.x86_ 100% |   5.7 MiB/s | 312.0 KiB |  00m00s
[ 73/154] rpm-build-libs-0:4.20.1-1.fc4 100% |   2.4 MiB/s |  98.8 KiB |  00m00s
[ 74/154] audit-libs-0:4.0.3-1.fc41.x86 100% |   2.8 MiB/s | 124.8 KiB |  00m00s
[ 75/154] libxcrypt-0:4.4.38-7.fc41.x86 100% |   2.6 MiB/s | 127.5 KiB |  00m00s
[ 76/154] pam-libs-0:1.6.1-7.fc41.x86_6 100% |   1.2 MiB/s |  57.4 KiB |  00m00s
[ 77/154] setup-0:2.15.0-8.fc41.noarch  100% |   3.1 MiB/s | 154.6 KiB |  00m00s
[ 78/154] forge-srpm-macros-0:0.4.0-1.f 100% | 518.6 KiB/s |  19.7 KiB |  00m00s
[ 79/154] libgcc-0:14.3.1-1.fc41.x86_64 100% |   2.7 MiB/s | 143.4 KiB |  00m00s
[ 80/154] zlib-ng-compat-0:2.2.3-2.fc41 100% |   1.9 MiB/s |  78.9 KiB |  00m00s
[ 81/154] elfutils-libelf-0:0.193-2.fc4 100% |   4.7 MiB/s | 207.5 KiB |  00m00s
[ 82/154] elfutils-libs-0:0.193-2.fc41. 100% |   6.2 MiB/s | 268.0 KiB |  00m00s
[ 83/154] json-c-0:0.17-4.fc41.x86_64   100% |   2.0 MiB/s |  44.0 KiB |  00m00s
[ 84/154] elfutils-0:0.193-2.fc41.x86_6 100% |  10.9 MiB/s | 566.7 KiB |  00m00s
[ 85/154] elfutils-debuginfod-client-0: 100% |   1.1 MiB/s |  47.0 KiB |  00m00s
[ 86/154] libblkid-0:2.40.4-1.fc41.x86_ 100% |   3.1 MiB/s | 119.2 KiB |  00m00s
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[ 92/154] gdbm-libs-1:1.23-7.fc41.x86_6 100% |   2.9 MiB/s |  56.3 KiB |  00m00s
[ 93/154] pam-0:1.6.1-7.fc41.x86_64     100% |  10.4 MiB/s | 555.0 KiB |  00m00s
[ 94/154] libnsl2-0:2.0.1-2.fc41.x86_64 100% |   1.7 MiB/s |  29.6 KiB |  00m00s
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[ 96/154] cracklib-0:2.9.11-6.fc41.x86_ 100% |   3.1 MiB/s |  92.1 KiB |  00m00s
[ 97/154] authselect-libs-0:1.5.0-8.fc4 100% |   1.5 MiB/s | 218.0 KiB |  00m00s
[ 98/154] libzstd-0:1.5.7-1.fc41.x86_64 100% |   4.2 MiB/s | 315.4 KiB |  00m00s
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[100/154] rpm-sequoia-0:1.7.0-5.fc41.x8 100% |  14.6 MiB/s | 911.4 KiB |  00m00s
[101/154] sqlite-libs-0:3.46.1-3.fc41.x 100% |   6.9 MiB/s | 742.5 KiB |  00m00s
[102/154] libgomp-0:14.3.1-1.fc41.x86_6 100% |   3.3 MiB/s | 364.5 KiB |  00m00s
[103/154] authselect-0:1.5.0-8.fc41.x86 100% | 357.3 KiB/s | 145.8 KiB |  00m00s
[104/154] jansson-0:2.13.1-10.fc41.x86_ 100% |   2.3 MiB/s |  44.4 KiB |  00m00s
[105/154] debugedit-0:5.1-6.fc41.x86_64 100% | 741.4 KiB/s |  79.3 KiB |  00m00s
[106/154] libarchive-0:3.7.4-4.fc41.x86 100% |   3.8 MiB/s | 409.1 KiB |  00m00s
[107/154] binutils-0:2.43.1-5.fc41.x86_ 100% |  24.8 MiB/s |   6.3 MiB |  00m00s
[108/154] zstd-0:1.5.7-1.fc41.x86_64    100% |   6.0 MiB/s | 483.3 KiB |  00m00s
[109/154] pkgconf-pkg-config-0:2.3.0-1. 100% | 625.7 KiB/s |  10.0 KiB |  00m00s
[110/154] pkgconf-m4-0:2.3.0-1.fc41.noa 100% | 954.8 KiB/s |  14.3 KiB |  00m00s
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[113/154] curl-0:8.9.1-3.fc41.x86_64    100% |   3.5 MiB/s | 311.9 KiB |  00m00s
[114/154] build-reproducibility-srpm-ma 100% | 123.0 KiB/s |  10.8 KiB |  00m00s
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[116/154] add-determinism-0:0.3.6-3.fc4 100% |   7.2 MiB/s | 875.9 KiB |  00m00s
[117/154] efi-srpm-macros-0:5-13.fc41.n 100% | 216.0 KiB/s |  22.5 KiB |  00m00s
[118/154] go-srpm-macros-0:3.6.0-5.fc41 100% | 336.9 KiB/s |  28.0 KiB |  00m00s
[119/154] pyproject-srpm-macros-0:1.18. 100% | 189.8 KiB/s |  13.9 KiB |  00m00s
[120/154] qt6-srpm-macros-0:6.8.2-1.fc4 100% |  96.8 KiB/s |   9.2 KiB |  00m00s
[121/154] libcom_err-0:1.47.1-6.fc41.x8 100% | 112.1 KiB/s |  26.6 KiB |  00m00s
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[123/154] gdbm-1:1.23-7.fc41.x86_64     100% |   4.9 MiB/s | 151.8 KiB |  00m00s
[124/154] ca-certificates-0:2024.2.69_v 100% |   4.8 MiB/s | 871.2 KiB |  00m00s
[125/154] crypto-policies-0:20250124-1. 100% | 366.4 KiB/s |  97.8 KiB |  00m00s
[126/154] openssl-libs-1:3.2.4-1.fc41.x 100% |   4.4 MiB/s |   2.3 MiB |  00m01s
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[128/154] krb5-libs-0:1.21.3-4.fc41.x86 100% |   4.2 MiB/s | 757.0 KiB |  00m00s
[129/154] libxml2-0:2.12.10-1.fc41.x86_ 100% |   6.4 MiB/s | 687.5 KiB |  00m00s
[130/154] elfutils-default-yama-scope-0 100% | 170.0 KiB/s |  12.6 KiB |  00m00s
[131/154] alternatives-0:1.31-1.fc41.x8 100% | 857.0 KiB/s |  39.4 KiB |  00m00s
[132/154] libffi-0:3.4.6-3.fc41.x86_64  100% |   2.1 MiB/s |  39.9 KiB |  00m00s
[133/154] libverto-0:0.3.2-9.fc41.x86_6 100% |  96.2 KiB/s |  20.7 KiB |  00m00s
[134/154] libstdc++-0:14.3.1-1.fc41.x86 100% |   9.0 MiB/s | 898.4 KiB |  00m00s
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[136/154] p11-kit-0:0.25.5-3.fc41.x86_6 100% |   6.3 MiB/s | 490.9 KiB |  00m00s
[137/154] libtasn1-0:4.20.0-1.fc41.x86_ 100% |   1.3 MiB/s |  74.4 KiB |  00m00s
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[140/154] fedora-release-identity-basic 100% | 110.7 KiB/s |  13.8 KiB |  00m00s
[141/154] libcurl-0:8.9.1-3.fc41.x86_64 100% |   2.0 MiB/s | 350.0 KiB |  00m00s
[142/154] libpsl-0:0.21.5-4.fc41.x86_64 100% |   2.3 MiB/s |  64.1 KiB |  00m00s
[143/154] gdb-minimal-0:16.3-1.fc41.x86 100% |  13.4 MiB/s |   4.4 MiB |  00m00s
[144/154] libssh-0:0.10.6-8.fc41.x86_64 100% |   3.0 MiB/s | 211.8 KiB |  00m00s
[145/154] libbrotli-0:1.1.0-5.fc41.x86_ 100% |   1.5 MiB/s | 340.5 KiB |  00m00s
[146/154] libssh-config-0:0.10.6-8.fc41 100% | 385.0 KiB/s |   9.2 KiB |  00m00s
[147/154] libidn2-0:2.3.8-1.fc41.x86_64 100% |   2.3 MiB/s | 175.0 KiB |  00m00s
[148/154] publicsuffix-list-dafsa-0:202 100% |   1.1 MiB/s |  58.8 KiB |  00m00s
[149/154] libunistring-0:1.1-8.fc41.x86 100% |   3.9 MiB/s | 544.8 KiB |  00m00s
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[151/154] libnghttp2-0:1.62.1-3.fc41.x8 100% | 931.1 KiB/s |  76.3 KiB |  00m00s
[152/154] libtool-ltdl-0:2.4.7-12.fc41. 100% |   1.2 MiB/s |  35.6 KiB |  00m00s
[153/154] cyrus-sasl-lib-0:2.1.28-27.fc 100% |   5.2 MiB/s | 794.9 KiB |  00m00s
[154/154] libevent-0:2.1.12-14.fc41.x86 100% |   2.4 MiB/s | 257.5 KiB |  00m00s
--------------------------------------------------------------------------------
[154/154] Total                         100% |   8.8 MiB/s |  53.2 MiB |  00m06s
Running transaction
Importing OpenPGP key 0xE99D6AD1:
 UserID     : "Fedora (41) <fedora-41-primary@fedoraproject.org>"
 Fingerprint: 466CF2D8B60BC3057AA9453ED0622462E99D6AD1
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-41-primary
The key was successfully imported.
[  1/156] Verify package files          100% | 751.0   B/s | 154.0   B |  00m00s
[  2/156] Prepare transaction           100% |   1.8 KiB/s | 154.0   B |  00m00s
[  3/156] Installing libgcc-0:14.3.1-1. 100% | 134.9 MiB/s | 276.3 KiB |  00m00s
[  4/156] Installing publicsuffix-list- 100% |  67.6 MiB/s |  69.2 KiB |  00m00s
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[  6/156] Installing fedora-release-ide 100% | 890.6 KiB/s | 912.0   B |  00m00s
[  7/156] Installing fedora-gpg-keys-0: 100% |  18.7 MiB/s | 172.2 KiB |  00m00s
[  8/156] Installing fedora-repos-0:41- 100% |   5.6 MiB/s |   5.7 KiB |  00m00s
[  9/156] Installing fedora-release-com 100% |  11.7 MiB/s |  24.0 KiB |  00m00s
[ 10/156] Installing fedora-release-0:4 100% |   0.0   B/s | 124.0   B |  00m00s
[ 11/156] Installing setup-0:2.15.0-8.f 100% |  44.3 MiB/s | 726.5 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew                               
[ 12/156] Installing filesystem-0:3.18- 100% |   1.6 MiB/s | 212.5 KiB |  00m00s
[ 13/156] Installing basesystem-0:11-21 100% |   0.0   B/s | 124.0   B |  00m00s
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[ 15/156] Installing pkgconf-m4-0:2.3.0 100% |  14.5 MiB/s |  14.8 KiB |  00m00s
[ 16/156] Installing pcre2-syntax-0:10. 100% | 124.1 MiB/s | 254.1 KiB |  00m00s
[ 17/156] Installing ncurses-base-0:6.5 100% |  34.3 MiB/s | 351.7 KiB |  00m00s
[ 18/156] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
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[ 20/156] Installing glibc-0:2.40-25.fc 100% | 202.6 MiB/s |   6.7 MiB |  00m00s
[ 21/156] Installing bash-0:5.2.32-1.fc 100% | 272.3 MiB/s |   8.2 MiB |  00m00s
[ 22/156] Installing glibc-common-0:2.4 100% | 131.4 MiB/s |   1.1 MiB |  00m00s
[ 23/156] Installing glibc-gconv-extra- 100% | 146.2 MiB/s |   8.0 MiB |  00m00s
[ 24/156] Installing zlib-ng-compat-0:2 100% | 139.4 MiB/s | 142.7 KiB |  00m00s
[ 25/156] Installing bzip2-libs-0:1.0.8 100% |  79.9 MiB/s |  81.8 KiB |  00m00s
[ 26/156] Installing xz-libs-1:5.8.1-2. 100% | 106.9 MiB/s | 219.0 KiB |  00m00s
[ 27/156] Installing readline-0:8.2-10. 100% | 161.2 MiB/s | 495.3 KiB |  00m00s
[ 28/156] Installing popt-0:1.19-7.fc41 100% |  35.0 MiB/s | 143.5 KiB |  00m00s
[ 29/156] Installing libuuid-0:2.40.4-1 100% |  40.0 MiB/s |  41.0 KiB |  00m00s
[ 30/156] Installing libblkid-0:2.40.4- 100% | 126.1 MiB/s | 258.2 KiB |  00m00s
[ 31/156] Installing libattr-0:2.5.2-4. 100% |  28.8 MiB/s |  29.5 KiB |  00m00s
[ 32/156] Installing libacl-0:2.3.2-2.f 100% |  39.8 MiB/s |  40.7 KiB |  00m00s
[ 33/156] Installing gmp-1:6.3.0-2.fc41 100% | 264.9 MiB/s | 813.7 KiB |  00m00s
[ 34/156] Installing libxcrypt-0:4.4.38 100% | 142.2 MiB/s | 291.2 KiB |  00m00s
[ 35/156] Installing libzstd-0:1.5.7-1. 100% | 262.1 MiB/s | 805.1 KiB |  00m00s
[ 36/156] Installing elfutils-libelf-0: 100% | 234.1 MiB/s |   1.2 MiB |  00m00s
[ 37/156] Installing libstdc++-0:14.3.1 100% | 276.7 MiB/s |   2.8 MiB |  00m00s
[ 38/156] Installing libeconf-0:0.6.2-3 100% |  58.3 MiB/s |  59.7 KiB |  00m00s
[ 39/156] Installing gdbm-libs-1:1.23-7 100% |  60.3 MiB/s | 123.6 KiB |  00m00s
[ 40/156] Installing dwz-0:0.15-8.fc41. 100% | 146.6 MiB/s | 300.3 KiB |  00m00s
[ 41/156] Installing mpfr-0:4.2.1-5.fc4 100% | 203.5 MiB/s | 833.7 KiB |  00m00s
[ 42/156] Installing gawk-0:5.3.0-4.fc4 100% | 173.2 MiB/s |   1.7 MiB |  00m00s
[ 43/156] Installing unzip-0:6.0-64.fc4 100% | 127.0 MiB/s | 390.3 KiB |  00m00s
[ 44/156] Installing file-libs-0:5.45-7 100% | 473.0 MiB/s |   9.9 MiB |  00m00s
[ 45/156] Installing file-0:5.45-7.fc41 100% |   5.1 MiB/s | 105.0 KiB |  00m00s
[ 46/156] Installing crypto-policies-0: 100% |  14.5 MiB/s | 163.7 KiB |  00m00s
[ 47/156] Installing pcre2-0:10.44-1.fc 100% | 213.2 MiB/s | 654.9 KiB |  00m00s
[ 48/156] Installing grep-0:3.11-9.fc41 100% | 111.5 MiB/s |   1.0 MiB |  00m00s
[ 49/156] Installing xz-1:5.8.1-2.fc41. 100% | 111.3 MiB/s |   1.3 MiB |  00m00s
[ 50/156] Installing libcap-ng-0:0.8.5- 100% |  69.4 MiB/s |  71.0 KiB |  00m00s
[ 51/156] Installing audit-libs-0:4.0.3 100% | 172.6 MiB/s | 353.4 KiB |  00m00s
[ 52/156] Installing pam-libs-0:1.6.1-7 100% | 137.9 MiB/s | 141.3 KiB |  00m00s
[ 53/156] Installing libcap-0:2.70-4.fc 100% |  55.0 MiB/s | 225.2 KiB |  00m00s
[ 54/156] Installing systemd-libs-0:256 100% | 253.7 MiB/s |   2.0 MiB |  00m00s
[ 55/156] Installing libsepol-0:3.7-2.f 100% | 266.5 MiB/s | 818.8 KiB |  00m00s
[ 56/156] Installing libselinux-0:3.7-5 100% | 178.0 MiB/s | 182.3 KiB |  00m00s
[ 57/156] Installing sed-0:4.9-3.fc41.x 100% | 106.2 MiB/s | 869.7 KiB |  00m00s
[ 58/156] Installing findutils-1:4.10.0 100% | 168.9 MiB/s |   1.9 MiB |  00m00s
[ 59/156] Installing libmount-0:2.40.4- 100% | 170.8 MiB/s | 349.8 KiB |  00m00s
[ 60/156] Installing libsmartcols-0:2.4 100% | 173.2 MiB/s | 177.4 KiB |  00m00s
[ 61/156] Installing lua-libs-0:5.4.7-3 100% | 139.7 MiB/s | 286.2 KiB |  00m00s
[ 62/156] Installing lz4-libs-0:1.10.0- 100% | 143.1 MiB/s | 146.6 KiB |  00m00s
[ 63/156] Installing libcom_err-0:1.47. 100% |  66.7 MiB/s |  68.3 KiB |  00m00s
[ 64/156] Installing alternatives-0:1.3 100% |  64.8 MiB/s |  66.4 KiB |  00m00s
[ 65/156] Installing libffi-0:3.4.6-3.f 100% |  85.7 MiB/s |  87.8 KiB |  00m00s
[ 66/156] Installing libtasn1-0:4.20.0- 100% |  89.0 MiB/s | 182.2 KiB |  00m00s
[ 67/156] Installing p11-kit-0:0.25.5-3 100% | 147.2 MiB/s |   2.2 MiB |  00m00s
[ 68/156] Installing libunistring-0:1.1 100% | 288.5 MiB/s |   1.7 MiB |  00m00s
[ 69/156] Installing libidn2-0:2.3.8-1. 100% |  91.6 MiB/s | 562.8 KiB |  00m00s
[ 70/156] Installing libpsl-0:0.21.5-4. 100% |  79.7 MiB/s |  81.7 KiB |  00m00s
[ 71/156] Installing p11-kit-trust-0:0. 100% |  18.3 MiB/s | 393.1 KiB |  00m00s
[ 72/156] Installing zstd-0:1.5.7-1.fc4 100% | 213.8 MiB/s |   1.7 MiB |  00m00s
[ 73/156] Installing util-linux-core-0: 100% | 122.9 MiB/s |   1.5 MiB |  00m00s
[ 74/156] Installing tar-2:1.35-4.fc41. 100% | 211.3 MiB/s |   3.0 MiB |  00m00s
[ 75/156] Installing libsemanage-0:3.7- 100% |  96.1 MiB/s | 295.2 KiB |  00m00s
[ 76/156] Installing shadow-utils-2:4.1 100% |  71.8 MiB/s |   4.2 MiB |  00m00s
[ 77/156] Installing libutempter-0:1.2. 100% |  19.4 MiB/s |  59.7 KiB |  00m00s
[ 78/156] Installing zip-0:3.0-41.fc41. 100% | 138.1 MiB/s | 707.1 KiB |  00m00s
[ 79/156] Installing gdbm-1:1.23-7.fc41 100% |  91.0 MiB/s | 465.8 KiB |  00m00s
[ 80/156] Installing cyrus-sasl-lib-0:2 100% | 230.6 MiB/s |   2.3 MiB |  00m00s
[ 81/156] Installing libfdisk-0:2.40.4- 100% | 174.5 MiB/s | 357.4 KiB |  00m00s
[ 82/156] Installing libxml2-0:2.12.10- 100% | 215.1 MiB/s |   1.7 MiB |  00m00s
[ 83/156] Installing bzip2-0:1.0.8-19.f 100% |  48.9 MiB/s | 100.2 KiB |  00m00s
[ 84/156] Installing sqlite-libs-0:3.46 100% | 249.4 MiB/s |   1.5 MiB |  00m00s
[ 85/156] Installing add-determinism-0: 100% | 294.5 MiB/s |   2.4 MiB |  00m00s
[ 86/156] Installing build-reproducibil 100% |   0.0   B/s |   1.0 KiB |  00m00s
[ 87/156] Installing ed-0:1.20.2-2.fc41 100% |  72.8 MiB/s | 149.2 KiB |  00m00s
[ 88/156] Installing patch-0:2.7.6-25.f 100% | 131.0 MiB/s | 268.2 KiB |  00m00s
[ 89/156] Installing elfutils-default-y 100% | 120.2 KiB/s |   2.0 KiB |  00m00s
[ 90/156] Installing elfutils-libs-0:0. 100% | 168.1 MiB/s | 688.5 KiB |  00m00s
[ 91/156] Installing cpio-0:2.15-2.fc41 100% | 137.5 MiB/s |   1.1 MiB |  00m00s
[ 92/156] Installing diffutils-0:3.10-8 100% | 159.0 MiB/s |   1.6 MiB |  00m00s
[ 93/156] Installing json-c-0:0.17-4.fc 100% |  81.7 MiB/s |  83.6 KiB |  00m00s
[ 94/156] Installing libgomp-0:14.3.1-1 100% | 170.9 MiB/s | 525.0 KiB |  00m00s
[ 95/156] Installing jansson-0:2.13.1-1 100% |  87.6 MiB/s |  89.7 KiB |  00m00s
[ 96/156] Installing libpkgconf-0:2.3.0 100% |  77.5 MiB/s |  79.3 KiB |  00m00s
[ 97/156] Installing pkgconf-0:2.3.0-1. 100% |  44.5 MiB/s |  91.1 KiB |  00m00s
[ 98/156] Installing pkgconf-pkg-config 100% |   1.7 MiB/s |   1.8 KiB |  00m00s
[ 99/156] Installing keyutils-libs-0:1. 100% |  54.5 MiB/s |  55.8 KiB |  00m00s
[100/156] Installing libverto-0:0.3.2-9 100% |  30.5 MiB/s |  31.3 KiB |  00m00s
[101/156] Installing xxhash-libs-0:0.8. 100% |  87.8 MiB/s |  89.9 KiB |  00m00s
[102/156] Installing libbrotli-0:1.1.0- 100% | 205.0 MiB/s | 839.9 KiB |  00m00s
[103/156] Installing libnghttp2-0:1.62. 100% | 171.2 MiB/s | 175.3 KiB |  00m00s
[104/156] Installing libtool-ltdl-0:2.4 100% |  65.7 MiB/s |  67.3 KiB |  00m00s
[105/156] Installing rust-srpm-macros-0 100% |   5.4 MiB/s |   5.6 KiB |  00m00s
[106/156] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 776.0   B |  00m00s
[107/156] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[108/156] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[109/156] Installing openblas-srpm-macr 100% |   0.0   B/s | 392.0   B |  00m00s
[110/156] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.2 KiB |  00m00s
[111/156] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[112/156] Installing gnat-srpm-macros-0 100% | 158.2 KiB/s |   1.3 KiB |  00m00s
[113/156] Installing ghc-srpm-macros-0: 100% |   1.0 MiB/s |   1.0 KiB |  00m00s
[114/156] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[115/156] Installing ansible-srpm-macro 100% |  35.4 MiB/s |  36.2 KiB |  00m00s
[116/156] Installing coreutils-common-0 100% | 238.1 MiB/s |  11.2 MiB |  00m00s
[117/156] Installing openssl-libs-1:3.2 100% | 301.1 MiB/s |   7.8 MiB |  00m00s
[118/156] Installing coreutils-0:9.5-11 100% | 124.1 MiB/s |   5.7 MiB |  00m00s
[119/156] Installing ca-certificates-0: 100% |   2.4 MiB/s |   2.4 MiB |  00m01s
[120/156] Installing krb5-libs-0:1.21.3 100% | 178.4 MiB/s |   2.3 MiB |  00m00s
[121/156] Installing libarchive-0:3.7.4 100% | 181.4 MiB/s | 928.6 KiB |  00m00s
[122/156] Installing libtirpc-0:1.3.6-1 100% |  97.4 MiB/s | 199.4 KiB |  00m00s
[123/156] Installing gzip-0:1.13-2.fc41 100% |  96.3 MiB/s | 394.6 KiB |  00m00s
[124/156] Installing authselect-libs-0: 100% |  81.8 MiB/s | 837.2 KiB |  00m00s
[125/156] Installing cracklib-0:2.9.11- 100% |  30.6 MiB/s | 250.3 KiB |  00m00s
[126/156] Installing libpwquality-0:1.4 100% |  46.7 MiB/s | 430.1 KiB |  00m00s
[127/156] Installing libnsl2-0:2.0.1-2. 100% |  28.8 MiB/s |  59.1 KiB |  00m00s
[128/156] Installing pam-0:1.6.1-7.fc41 100% |  75.1 MiB/s |   1.9 MiB |  00m00s
[129/156] Installing libssh-0:0.10.6-8. 100% | 125.8 MiB/s | 515.4 KiB |  00m00s
[130/156] Installing rpm-sequoia-0:1.7. 100% | 241.8 MiB/s |   2.4 MiB |  00m00s
[131/156] Installing rpm-libs-0:4.20.1- 100% | 178.6 MiB/s | 731.5 KiB |  00m00s
[132/156] Installing rpm-build-libs-0:4 100% | 103.3 MiB/s | 211.5 KiB |  00m00s
[133/156] Installing libevent-0:2.1.12- 100% | 175.7 MiB/s | 899.5 KiB |  00m00s
[134/156] Installing openldap-0:2.6.9-1 100% | 126.8 MiB/s | 649.1 KiB |  00m00s
[135/156] Installing libcurl-0:8.9.1-3. 100% | 197.8 MiB/s | 810.4 KiB |  00m00s
[136/156] Installing elfutils-debuginfo 100% |  42.2 MiB/s |  86.5 KiB |  00m00s
[137/156] Installing elfutils-0:0.193-2 100% | 228.4 MiB/s |   3.0 MiB |  00m00s
[138/156] Installing binutils-0:2.43.1- 100% | 249.0 MiB/s |  27.4 MiB |  00m00s
[139/156] Installing gdb-minimal-0:16.3 100% | 294.7 MiB/s |  13.3 MiB |  00m00s
[140/156] Installing debugedit-0:5.1-6. 100% |  66.3 MiB/s | 203.6 KiB |  00m00s
[141/156] Installing curl-0:8.9.1-3.fc4 100% |  29.9 MiB/s | 796.0 KiB |  00m00s
[142/156] Installing rpm-0:4.20.1-1.fc4 100% |  78.5 MiB/s |   2.5 MiB |  00m00s
[143/156] Installing lua-srpm-macros-0: 100% |   1.9 MiB/s |   1.9 KiB |  00m00s
[144/156] Installing zig-srpm-macros-0: 100% |   0.0   B/s |   1.7 KiB |  00m00s
[145/156] Installing efi-srpm-macros-0: 100% |  40.2 MiB/s |  41.2 KiB |  00m00s
[146/156] Installing python-srpm-macros 100% |  50.9 MiB/s |  52.2 KiB |  00m00s
[147/156] Installing fonts-srpm-macros- 100% |  55.7 MiB/s |  57.0 KiB |  00m00s
[148/156] Installing forge-srpm-macros- 100% |  39.3 MiB/s |  40.3 KiB |  00m00s
[149/156] Installing go-srpm-macros-0:3 100% |  60.5 MiB/s |  62.0 KiB |  00m00s
[150/156] Installing redhat-rpm-config- 100% |  46.4 MiB/s | 190.2 KiB |  00m00s
[151/156] Installing rpm-build-0:4.20.1 100% |  39.5 MiB/s | 202.3 KiB |  00m00s
[152/156] Installing pyproject-srpm-mac 100% |   1.2 MiB/s |   2.5 KiB |  00m00s
[153/156] Installing util-linux-0:2.40. 100% |  77.2 MiB/s |   3.7 MiB |  00m00s
[154/156] Installing authselect-0:1.5.0 100% |  39.5 MiB/s | 161.9 KiB |  00m00s
[155/156] Installing which-0:2.21-42.fc 100% |  40.2 MiB/s |  82.4 KiB |  00m00s
[156/156] Installing info-0:7.1.1-1.fc4 100% | 258.3 KiB/s | 362.2 KiB |  00m01s
Complete!
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: add-determinism-0.3.6-3.fc41.x86_64
alternatives-1.31-1.fc41.x86_64
ansible-srpm-macros-1-16.fc41.noarch
audit-libs-4.0.3-1.fc41.x86_64
authselect-1.5.0-8.fc41.x86_64
authselect-libs-1.5.0-8.fc41.x86_64
basesystem-11-21.fc41.noarch
bash-5.2.32-1.fc41.x86_64
binutils-2.43.1-5.fc41.x86_64
build-reproducibility-srpm-macros-0.3.6-3.fc41.noarch
bzip2-1.0.8-19.fc41.x86_64
bzip2-libs-1.0.8-19.fc41.x86_64
ca-certificates-2024.2.69_v8.0.401-1.0.fc41.noarch
coreutils-9.5-11.fc41.x86_64
coreutils-common-9.5-11.fc41.x86_64
cpio-2.15-2.fc41.x86_64
cracklib-2.9.11-6.fc41.x86_64
crypto-policies-20250124-1.git4d262e7.fc41.noarch
curl-8.9.1-3.fc41.x86_64
cyrus-sasl-lib-2.1.28-27.fc41.x86_64
debugedit-5.1-6.fc41.x86_64
diffutils-3.10-8.fc41.x86_64
dwz-0.15-8.fc41.x86_64
ed-1.20.2-2.fc41.x86_64
efi-srpm-macros-5-13.fc41.noarch
elfutils-0.193-2.fc41.x86_64
elfutils-debuginfod-client-0.193-2.fc41.x86_64
elfutils-default-yama-scope-0.193-2.fc41.noarch
elfutils-libelf-0.193-2.fc41.x86_64
elfutils-libs-0.193-2.fc41.x86_64
fedora-gpg-keys-41-1.noarch
fedora-release-41-32.noarch
fedora-release-common-41-32.noarch
fedora-release-identity-basic-41-32.noarch
fedora-repos-41-1.noarch
file-5.45-7.fc41.x86_64
file-libs-5.45-7.fc41.x86_64
filesystem-3.18-23.fc41.x86_64
findutils-4.10.0-4.fc41.x86_64
fonts-srpm-macros-2.0.5-17.fc41.noarch
forge-srpm-macros-0.4.0-1.fc41.noarch
fpc-srpm-macros-1.3-13.fc41.noarch
gawk-5.3.0-4.fc41.x86_64
gdb-minimal-16.3-1.fc41.x86_64
gdbm-1.23-7.fc41.x86_64
gdbm-libs-1.23-7.fc41.x86_64
ghc-srpm-macros-1.9.1-2.fc41.noarch
glibc-2.40-25.fc41.x86_64
glibc-common-2.40-25.fc41.x86_64
glibc-gconv-extra-2.40-25.fc41.x86_64
glibc-minimal-langpack-2.40-25.fc41.x86_64
gmp-6.3.0-2.fc41.x86_64
gnat-srpm-macros-6-6.fc41.noarch
go-srpm-macros-3.6.0-5.fc41.noarch
gpg-pubkey-e99d6ad1-64d2612c
grep-3.11-9.fc41.x86_64
gzip-1.13-2.fc41.x86_64
info-7.1.1-1.fc41.x86_64
jansson-2.13.1-10.fc41.x86_64
json-c-0.17-4.fc41.x86_64
kernel-srpm-macros-1.0-24.fc41.noarch
keyutils-libs-1.6.3-4.fc41.x86_64
krb5-libs-1.21.3-4.fc41.x86_64
libacl-2.3.2-2.fc41.x86_64
libarchive-3.7.4-4.fc41.x86_64
libattr-2.5.2-4.fc41.x86_64
libblkid-2.40.4-1.fc41.x86_64
libbrotli-1.1.0-5.fc41.x86_64
libcap-2.70-4.fc41.x86_64
libcap-ng-0.8.5-3.fc41.x86_64
libcom_err-1.47.1-6.fc41.x86_64
libcurl-8.9.1-3.fc41.x86_64
libeconf-0.6.2-3.fc41.x86_64
libevent-2.1.12-14.fc41.x86_64
libfdisk-2.40.4-1.fc41.x86_64
libffi-3.4.6-3.fc41.x86_64
libgcc-14.3.1-1.fc41.x86_64
libgomp-14.3.1-1.fc41.x86_64
libidn2-2.3.8-1.fc41.x86_64
libmount-2.40.4-1.fc41.x86_64
libnghttp2-1.62.1-3.fc41.x86_64
libnsl2-2.0.1-2.fc41.x86_64
libpkgconf-2.3.0-1.fc41.x86_64
libpsl-0.21.5-4.fc41.x86_64
libpwquality-1.4.5-11.fc41.x86_64
libselinux-3.7-5.fc41.x86_64
libsemanage-3.7-2.fc41.x86_64
libsepol-3.7-2.fc41.x86_64
libsmartcols-2.40.4-1.fc41.x86_64
libssh-0.10.6-8.fc41.x86_64
libssh-config-0.10.6-8.fc41.noarch
libstdc++-14.3.1-1.fc41.x86_64
libtasn1-4.20.0-1.fc41.x86_64
libtirpc-1.3.6-1.rc3.fc41.x86_64
libtool-ltdl-2.4.7-12.fc41.x86_64
libunistring-1.1-8.fc41.x86_64
libutempter-1.2.1-15.fc41.x86_64
libuuid-2.40.4-1.fc41.x86_64
libverto-0.3.2-9.fc41.x86_64
libxcrypt-4.4.38-7.fc41.x86_64
libxml2-2.12.10-1.fc41.x86_64
libzstd-1.5.7-1.fc41.x86_64
lua-libs-5.4.7-3.fc41.x86_64
lua-srpm-macros-1-14.fc41.noarch
lz4-libs-1.10.0-1.fc41.x86_64
mpfr-4.2.1-5.fc41.x86_64
ncurses-base-6.5-2.20240629.fc41.noarch
ncurses-libs-6.5-2.20240629.fc41.x86_64
ocaml-srpm-macros-10-3.fc41.noarch
openblas-srpm-macros-2-18.fc41.noarch
openldap-2.6.9-1.fc41.x86_64
openssl-libs-3.2.4-1.fc41.x86_64
p11-kit-0.25.5-3.fc41.x86_64
p11-kit-trust-0.25.5-3.fc41.x86_64
package-notes-srpm-macros-0.5-12.fc41.noarch
pam-1.6.1-7.fc41.x86_64
pam-libs-1.6.1-7.fc41.x86_64
patch-2.7.6-25.fc41.x86_64
pcre2-10.44-1.fc41.1.x86_64
pcre2-syntax-10.44-1.fc41.1.noarch
perl-srpm-macros-1-56.fc41.noarch
pkgconf-2.3.0-1.fc41.x86_64
pkgconf-m4-2.3.0-1.fc41.noarch
pkgconf-pkg-config-2.3.0-1.fc41.x86_64
popt-1.19-7.fc41.x86_64
publicsuffix-list-dafsa-20250116-1.fc41.noarch
pyproject-srpm-macros-1.18.1-1.fc41.noarch
python-srpm-macros-3.13-3.fc41.noarch
qt5-srpm-macros-5.15.15-1.fc41.noarch
qt6-srpm-macros-6.8.2-1.fc41.noarch
readline-8.2-10.fc41.x86_64
redhat-rpm-config-294-1.fc41.noarch
rpm-4.20.1-1.fc41.x86_64
rpm-build-4.20.1-1.fc41.x86_64
rpm-build-libs-4.20.1-1.fc41.x86_64
rpm-libs-4.20.1-1.fc41.x86_64
rpm-sequoia-1.7.0-5.fc41.x86_64
rust-srpm-macros-26.3-3.fc41.noarch
sed-4.9-3.fc41.x86_64
setup-2.15.0-8.fc41.noarch
shadow-utils-4.15.1-12.fc41.x86_64
sqlite-libs-3.46.1-3.fc41.x86_64
systemd-libs-256.12-1.fc41.x86_64
tar-1.35-4.fc41.x86_64
unzip-6.0-64.fc41.x86_64
util-linux-2.40.4-1.fc41.x86_64
util-linux-core-2.40.4-1.fc41.x86_64
which-2.21-42.fc41.x86_64
xxhash-libs-0.8.3-1.fc41.x86_64
xz-5.8.1-2.fc41.x86_64
xz-libs-5.8.1-2.fc41.x86_64
zig-srpm-macros-1-3.fc41.noarch
zip-3.0-41.fc41.x86_64
zlib-ng-compat-2.2.3-2.fc41.x86_64
zstd-1.5.7-1.fc41.x86_64
Start: buildsrpm
Start: rpmbuild -bs
Building target platforms: x86_64
Building for target x86_64
warning: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from
Wrote: /builddir/build/SRPMS/R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.src.rpm

RPM build warnings:
    %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from
Finish: rpmbuild -bs
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-41-x86_64-1748829777.705636/root/var/log/dnf5.log
INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz
/bin/tar: Removing leading `/' from member names
Finish: buildsrpm
INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-qj7qdpd3/R-CRAN-DAISIE/R-CRAN-DAISIE.spec) Config(child) 0 minutes 35 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
INFO: Start(/var/lib/copr-rpmbuild/results/R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.src.rpm)  Config(fedora-41-x86_64)
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-41-x86_64-1748829777.705636/root.
INFO: calling preinit hooks
INFO: enabled root cache
Start: unpacking root cache
Finish: unpacking root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Buildroot is handled by package management from host and used with --installroot:
  rpm-4.20.1-1.fc41.x86_64
  rpm-sequoia-1.7.0-2.fc41.x86_64
  python3-dnf-4.23.0-1.fc41.noarch
  python3-dnf-plugins-core-4.10.1-1.fc41.noarch
  dnf5-5.2.13.1-1.fc41.x86_64
  dnf5-plugins-5.2.13.1-1.fc41.x86_64
Finish: chroot init
Start: build phase for R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.src.rpm
Start: build setup for R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.src.rpm
Building target platforms: x86_64
Building for target x86_64
warning: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from
Wrote: /builddir/build/SRPMS/R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.src.rpm

RPM build warnings:
    %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from
Updating and loading repositories:
 updates                                100% |   1.3 MiB/s |  29.6 KiB |  00m00s
 fedora                                 100% |   1.2 MiB/s |  30.7 KiB |  00m00s
 Copr repository                        100% |  33.5 KiB/s |   1.5 KiB |  00m00s
Repositories loaded.
Package                      Arch   Version                          Repository      Size
Installing:
 R-CRAN-BH                   noarch 1.87.0.1-1.fc41.copr8405681      copr_base  122.2 MiB
 R-CRAN-DDD                  x86_64 5.2.2-1.fc41.copr7363571         copr_base  868.0 KiB
 R-CRAN-Matrix               x86_64 1.7.3-1.fc41.copr8752527         copr_base    8.2 MiB
 R-CRAN-Rcpp                 x86_64 1.0.14-1.fc41.copr8507898        copr_base    8.4 MiB
 R-CRAN-RcppEigen            x86_64 0.3.4.0.2-1.fc41.copr8100507     copr_base    9.0 MiB
 R-CRAN-deSolve              x86_64 1.40-1.fc41.copr7350297          copr_base    3.2 MiB
 R-CRAN-doParallel           noarch 1.0.17-1.fc41.copr7356118        copr_base  224.6 KiB
 R-CRAN-foreach              noarch 1.5.2-1.fc41.copr7353650         copr_base  378.1 KiB
 R-CRAN-magrittr             x86_64 2.0.3-1.fc41.copr7349936         copr_base  417.3 KiB
 R-CRAN-pracma               noarch 2.4.4-1.fc41.copr7350224         copr_base    2.8 MiB
 R-CRAN-subplex              x86_64 1.9-1.fc41.copr7712408           copr_base   90.0 KiB
 R-CRAN-tensor               noarch 1.5-3.fc41.copr7350073           copr_base   20.4 KiB
 R-CRAN-testit               noarch 0.13-1.fc41.copr7350119          copr_base   45.3 KiB
 R-core                      x86_64 4.4.3-1.fc41                     updates    102.9 MiB
 R-devel                     x86_64 4.4.3-1.fc41                     updates      0.0   B
Installing dependencies:
 R-CRAN-DEoptim              x86_64 2.2.8-1.fc41.copr7350426         copr_base  197.7 KiB
 R-CRAN-MASS                 x86_64 7.3.65-1.fc41.copr8711526        copr_base    1.8 MiB
 R-CRAN-SparseM              x86_64 1.84.2-1.fc41.copr7745418        copr_base    1.6 MiB
 R-CRAN-ape                  x86_64 5.8.1-1.fc41.copr8396588         copr_base    4.1 MiB
 R-CRAN-cli                  x86_64 3.6.5-1.fc41.copr8957462         copr_base    2.4 MiB
 R-CRAN-clusterGeneration    noarch 1.3.8-1.fc41.copr7353784         copr_base  370.2 KiB
 R-CRAN-coda                 noarch 0.19.4.1-1.fc41.copr7353589      copr_base  480.9 KiB
 R-CRAN-codetools            noarch 0.2.20-1.fc41.copr7352636        copr_base  106.3 KiB
 R-CRAN-combinat             noarch 0.0.8-3.fc41.copr7350097         copr_base   64.7 KiB
 R-CRAN-digest               x86_64 0.6.37-1.fc41.copr7936834        copr_base  495.7 KiB
 R-CRAN-expm                 x86_64 1.0.0-1.fc41.copr7936841         copr_base  320.9 KiB
 R-CRAN-fastmatch            x86_64 1.1.6-1.fc41.copr8443083         copr_base   73.0 KiB
 R-CRAN-generics             noarch 0.1.4-1.fc41.copr9016314         copr_base  163.4 KiB
 R-CRAN-glue                 x86_64 1.8.0-1.fc41.copr8094211         copr_base  345.1 KiB
 R-CRAN-igraph               x86_64 2.1.4-1.fc41.copr8565846         copr_base   10.2 MiB
 R-CRAN-iterators            noarch 1.0.14-1.fc41.copr7350017        copr_base  438.6 KiB
 R-CRAN-lattice              x86_64 0.22.7-1.fc41.copr8854188        copr_base    2.0 MiB
 R-CRAN-lifecycle            noarch 1.0.4-1.fc41.copr7354340         copr_base  282.7 KiB
 R-CRAN-maps                 x86_64 3.4.3-1.fc41.copr9086230         copr_base    3.9 MiB
 R-CRAN-mnormt               x86_64 2.1.1-1.fc41.copr7352549         copr_base  291.3 KiB
 R-CRAN-nlme                 x86_64 3.1.168-1.fc41.copr8842786       copr_base    3.8 MiB
 R-CRAN-numDeriv             noarch 2016.8.1.1-3.fc41.copr7350037    copr_base  151.0 KiB
 R-CRAN-optimParallel        noarch 1.0.2-1.fc41.copr7351917         copr_base  217.4 KiB
 R-CRAN-phangorn             x86_64 2.12.1-1.fc41.copr8029447        copr_base    4.4 MiB
 R-CRAN-phytools             noarch 2.4.4-1.fc41.copr8483420         copr_base    3.5 MiB
 R-CRAN-pkgconfig            noarch 2.0.3-3.fc41.copr7349937         copr_base   34.0 KiB
 R-CRAN-quadprog             x86_64 1.5.8-3.fc41.copr7350112         copr_base   59.7 KiB
 R-CRAN-rlang                x86_64 1.1.6-1.fc41.copr8893495         copr_base    2.6 MiB
 R-CRAN-scatterplot3d        noarch 0.3.44-1.fc41.copr7350114        copr_base  365.0 KiB
 R-CRAN-vctrs                x86_64 0.6.5-1.fc41.copr7356070         copr_base    2.3 MiB
 R-core-devel                x86_64 4.4.3-1.fc41                     updates    396.1 KiB
 R-java                      x86_64 4.4.3-1.fc41                     updates      0.0   B
 R-java-devel                x86_64 4.4.3-1.fc41                     updates      0.0   B
 R-littler                   x86_64 0.3.19-5.fc41                    fedora     158.1 KiB
 R-rpm-macros                noarch 1.2.1-11.fc41                    fedora       5.6 KiB
 abattis-cantarell-vf-fonts  noarch 0.301-13.fc41                    fedora     192.7 KiB
 alsa-lib                    x86_64 1.2.14-2.fc41                    updates      1.4 MiB
 annobin-docs                noarch 12.69-1.fc41                     fedora      97.7 KiB
 annobin-plugin-gcc          x86_64 12.69-1.fc41                     fedora     985.0 KiB
 avahi-libs                  x86_64 0.8-29.fc41                      fedora     166.3 KiB
 bzip2-devel                 x86_64 1.0.8-19.fc41                    fedora     309.8 KiB
 cairo                       x86_64 1.18.2-2.fc41                    updates      1.7 MiB
 cmake-filesystem            x86_64 3.30.8-1.fc41                    updates      0.0   B
 cpp                         x86_64 14.3.1-1.fc41                    updates     35.0 MiB
 cups-filesystem             noarch 1:2.4.12-2.fc41                  updates      0.0   B
 cups-libs                   x86_64 1:2.4.12-2.fc41                  updates    622.9 KiB
 dbus-libs                   x86_64 1:1.14.10-4.fc41                 fedora     368.9 KiB
 default-fonts-core-sans     noarch 4.1-2.fc41                       fedora      11.9 KiB
 desktop-file-utils          x86_64 0.27-2.fc41                      fedora     230.4 KiB
 emacs-filesystem            noarch 1:30.0-3.fc41                    fedora       0.0   B
 flexiblas                   x86_64 3.4.5-1.fc41                     updates     50.4 KiB
 flexiblas-devel             x86_64 3.4.5-1.fc41                     updates      4.9 MiB
 flexiblas-netlib            x86_64 3.4.5-1.fc41                     updates     10.9 MiB
 flexiblas-netlib64          x86_64 3.4.5-1.fc41                     updates     10.9 MiB
 flexiblas-openblas-openmp   x86_64 3.4.5-1.fc41                     updates     43.3 KiB
 flexiblas-openblas-openmp64 x86_64 3.4.5-1.fc41                     updates     43.3 KiB
 fontconfig                  x86_64 2.15.0-8.fc41                    fedora     791.9 KiB
 fonts-filesystem            noarch 1:2.0.5-17.fc41                  fedora       0.0   B
 freetype                    x86_64 2.13.3-1.fc41                    fedora     850.5 KiB
 fribidi                     x86_64 1.0.15-2.fc41                    fedora     368.4 KiB
 gcc                         x86_64 14.3.1-1.fc41                    updates    104.3 MiB
 gcc-c++                     x86_64 14.3.1-1.fc41                    updates     38.1 MiB
 gcc-gfortran                x86_64 14.3.1-1.fc41                    updates     37.2 MiB
 gcc-plugin-annobin          x86_64 14.3.1-1.fc41                    updates     61.1 KiB
 glib2                       x86_64 2.82.5-1.fc41                    updates     14.7 MiB
 glibc-devel                 x86_64 2.40-25.fc41                     updates      2.3 MiB
 glpk                        x86_64 5.0-12.fc41                      fedora     878.8 KiB
 gnutls                      x86_64 3.8.9-2.fc41                     updates      3.6 MiB
 google-noto-fonts-common    noarch 20240701-2.fc41                  fedora      17.5 KiB
 google-noto-sans-vf-fonts   noarch 20240701-2.fc41                  fedora       1.2 MiB
 graphite2                   x86_64 1.3.14-16.fc41                   fedora     192.0 KiB
 harfbuzz                    x86_64 9.0.0-3.fc41                     fedora       2.6 MiB
 java-21-openjdk             x86_64 1:21.0.7.0.6-1.fc41              updates      1.0 MiB
 java-21-openjdk-devel       x86_64 1:21.0.7.0.6-1.fc41              updates     11.2 MiB
 java-21-openjdk-headless    x86_64 1:21.0.7.0.6-1.fc41              updates    202.0 MiB
 javapackages-filesystem     noarch 6.2.0-14.fc41                    fedora       1.9 KiB
 jbigkit-libs                x86_64 2.1-30.fc41                      fedora     117.6 KiB
 kernel-headers              x86_64 6.14.3-200.fc41                  updates      6.5 MiB
 less                        x86_64 668-1.fc41                       updates    406.3 KiB
 libICE                      x86_64 1.1.2-1.fc41                     updates    196.2 KiB
 libRmath                    x86_64 4.4.3-1.fc41                     updates    250.8 KiB
 libRmath-devel              x86_64 4.4.3-1.fc41                     updates     17.4 KiB
 libSM                       x86_64 1.2.5-1.fc41                     updates     99.6 KiB
 libX11                      x86_64 1.8.11-1.fc41                    updates      1.3 MiB
 libX11-common               noarch 1.8.11-1.fc41                    updates      1.2 MiB
 libX11-devel                x86_64 1.8.11-1.fc41                    updates      1.0 MiB
 libX11-xcb                  x86_64 1.8.11-1.fc41                    updates     15.0 KiB
 libXau                      x86_64 1.0.11-7.fc41                    fedora      66.9 KiB
 libXau-devel                x86_64 1.0.11-7.fc41                    fedora       6.4 KiB
 libXcomposite               x86_64 0.4.6-4.fc41                     fedora      44.5 KiB
 libXext                     x86_64 1.3.6-2.fc41                     fedora      90.1 KiB
 libXft                      x86_64 2.3.8-7.fc41                     fedora     164.5 KiB
 libXi                       x86_64 1.8.2-1.fc41                     fedora      76.7 KiB
 libXmu                      x86_64 1.2.1-2.fc41                     fedora     191.5 KiB
 libXrender                  x86_64 0.9.12-1.fc41                    updates     48.8 KiB
 libXt                       x86_64 1.3.1-1.fc41                     updates    429.9 KiB
 libXtst                     x86_64 1.2.5-1.fc41                     fedora      33.6 KiB
 libdatrie                   x86_64 0.2.13-10.fc41                   fedora      57.9 KiB
 libdeflate                  x86_64 1.24-1.fc41                      updates    119.1 KiB
 libdeflate-devel            x86_64 1.24-1.fc41                      updates     26.0 KiB
 libfontenc                  x86_64 1.1.8-2.fc41                     fedora      67.0 KiB
 libgfortran                 x86_64 14.3.1-1.fc41                    updates      3.0 MiB
 libicu                      x86_64 74.2-2.fc41                      fedora      34.9 MiB
 libicu-devel                x86_64 74.2-2.fc41                      fedora       5.6 MiB
 libjpeg-turbo               x86_64 3.0.2-3.fc41                     fedora     776.9 KiB
 liblerc                     x86_64 4.0.0-8.fc41                     updates    607.5 KiB
 libmpc                      x86_64 1.3.1-6.fc41                     fedora     164.7 KiB
 libpng                      x86_64 2:1.6.40-4.fc41                  fedora     245.8 KiB
 libquadmath                 x86_64 14.3.1-1.fc41                    updates    325.9 KiB
 libquadmath-devel           x86_64 14.3.1-1.fc41                    updates     22.1 KiB
 libstdc++-devel             x86_64 14.3.1-1.fc41                    updates     15.4 MiB
 libthai                     x86_64 0.1.29-9.fc41                    fedora     783.5 KiB
 libtiff                     x86_64 4.6.0-6.fc41                     fedora     606.0 KiB
 libtirpc-devel              x86_64 1.3.6-1.rc3.fc41                 updates    251.6 KiB
 libwebp                     x86_64 1.5.0-1.fc41                     updates    814.4 KiB
 libxcb                      x86_64 1.17.0-3.fc41                    fedora       1.2 MiB
 libxcb-devel                x86_64 1.17.0-3.fc41                    fedora       2.7 MiB
 libxcrypt-devel             x86_64 4.4.38-7.fc41                    updates     30.8 KiB
 lksctp-tools                x86_64 1.0.20-1.fc41                    updates    267.0 KiB
 make                        x86_64 1:4.4.1-8.fc41                   fedora       1.8 MiB
 mkfontscale                 x86_64 1.2.3-1.fc41                     fedora      49.2 KiB
 nettle                      x86_64 3.10-3.fc41                      fedora     793.0 KiB
 nspr                        x86_64 4.36.0-7.fc41                    updates    320.4 KiB
 nss                         x86_64 3.111.0-2.fc41                   updates      1.9 MiB
 nss-softokn                 x86_64 3.111.0-2.fc41                   updates      1.9 MiB
 nss-softokn-freebl          x86_64 3.111.0-2.fc41                   updates    845.1 KiB
 nss-sysinit                 x86_64 3.111.0-2.fc41                   updates     22.2 KiB
 nss-util                    x86_64 3.111.0-2.fc41                   updates    205.1 KiB
 openblas                    x86_64 0.3.26-5.fc41                    fedora      96.0 KiB
 openblas-openmp             x86_64 0.3.26-5.fc41                    fedora      39.4 MiB
 openblas-openmp64           x86_64 0.3.26-5.fc41                    fedora      39.5 MiB
 pango                       x86_64 1.56.3-1.fc41                    updates      1.0 MiB
 pcre2-devel                 x86_64 10.44-1.fc41.1                   fedora       2.0 MiB
 pcre2-utf16                 x86_64 10.44-1.fc41.1                   fedora     590.1 KiB
 pcre2-utf32                 x86_64 10.44-1.fc41.1                   fedora     562.0 KiB
 pixman                      x86_64 0.44.2-1.fc41                    updates    664.5 KiB
 suitesparse                 x86_64 7.7.0-2.fc41                     fedora     139.9 MiB
 tcl                         x86_64 1:8.6.14-5.fc41                  updates      4.2 MiB
 tk                          x86_64 1:8.6.14-2.fc41                  fedora       3.6 MiB
 tre                         x86_64 0.8.0-45.20140228gitc2f5d13.fc41 fedora      75.9 KiB
 tre-common                  noarch 0.8.0-45.20140228gitc2f5d13.fc41 fedora      81.0 KiB
 tre-devel                   x86_64 0.8.0-45.20140228gitc2f5d13.fc41 fedora      10.7 KiB
 ttmkfdir                    x86_64 3.0.9-71.fc41                    fedora     122.7 KiB
 tzdata-java                 noarch 2025b-1.fc41                     updates    100.1 KiB
 xdg-utils                   noarch 1.2.1-2.fc41                     fedora     346.3 KiB
 xml-common                  noarch 0.6.3-65.fc41                    fedora      78.4 KiB
 xorg-x11-fonts-Type1        noarch 7.5-39.fc41                      fedora     863.3 KiB
 xorg-x11-proto-devel        noarch 2024.1-3.fc41                    fedora       1.7 MiB
 xz-devel                    x86_64 1:5.8.1-2.fc41                   updates    258.8 KiB
 zlib-ng-compat-devel        x86_64 2.2.3-2.fc41                     updates    107.0 KiB

Transaction Summary:
 Installing:       165 packages

Total size of inbound packages is 327 MiB. Need to download 327 MiB.
After this operation, 1 GiB extra will be used (install 1 GiB, remove 0 B).
[  1/165] R-CRAN-DDD-0:5.2.2-1.fc41.cop 100% |   1.0 MiB/s | 530.1 KiB |  00m01s
[  2/165] R-CRAN-Matrix-0:1.7.3-1.fc41. 100% |   6.6 MiB/s |   4.3 MiB |  00m01s
[  3/165] R-CRAN-Rcpp-0:1.0.14-1.fc41.c 100% |   3.1 MiB/s |   2.0 MiB |  00m01s
[  4/165] R-CRAN-RcppEigen-0:0.3.4.0.2- 100% |   2.8 MiB/s |   1.4 MiB |  00m01s
[  5/165] R-CRAN-BH-0:1.87.0.1-1.fc41.c 100% |   7.6 MiB/s |  10.0 MiB |  00m01s
[  6/165] R-CRAN-doParallel-0:1.0.17-1. 100% | 709.1 KiB/s | 194.3 KiB |  00m00s
[  7/165] R-CRAN-deSolve-0:1.40-1.fc41. 100% |   7.6 MiB/s |   2.2 MiB |  00m00s
[  8/165] R-CRAN-magrittr-0:2.0.3-1.fc4 100% |   4.6 MiB/s | 222.7 KiB |  00m00s
[  9/165] R-CRAN-foreach-0:1.5.2-1.fc41 100% | 487.3 KiB/s | 142.8 KiB |  00m00s
[ 10/165] R-CRAN-subplex-0:1.9-1.fc41.c 100% | 217.4 KiB/s |  51.1 KiB |  00m00s
[ 11/165] R-CRAN-tensor-0:1.5-3.fc41.co 100% | 163.3 KiB/s |  25.3 KiB |  00m00s
[ 12/165] R-CRAN-pracma-0:2.4.4-1.fc41. 100% |   6.1 MiB/s |   1.9 MiB |  00m00s
[ 13/165] R-CRAN-testit-0:0.13-1.fc41.c 100% | 896.9 KiB/s |  44.8 KiB |  00m00s
[ 14/165] R-devel-0:4.4.3-1.fc41.x86_64 100% |  80.5 KiB/s |   8.9 KiB |  00m00s
[ 15/165] R-CRAN-DEoptim-0:2.2.8-1.fc41 100% |   1.3 MiB/s | 141.5 KiB |  00m00s
[ 16/165] R-CRAN-SparseM-0:1.84.2-1.fc4 100% |   5.7 MiB/s | 851.8 KiB |  00m00s
[ 17/165] R-CRAN-expm-0:1.0.0-1.fc41.co 100% |   1.2 MiB/s | 232.8 KiB |  00m00s
[ 18/165] R-CRAN-ape-0:5.8.1-1.fc41.cop 100% |   9.1 MiB/s |   3.0 MiB |  00m00s
[ 19/165] R-CRAN-lattice-0:0.22.7-1.fc4 100% |  12.2 MiB/s |   1.4 MiB |  00m00s
[ 20/165] R-CRAN-phytools-0:2.4.4-1.fc4 100% |   9.8 MiB/s |   2.8 MiB |  00m00s
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[ 23/165] R-core-devel-0:4.4.3-1.fc41.x 100% | 749.4 KiB/s |  94.4 KiB |  00m00s
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[ 26/165] libRmath-0:4.4.3-1.fc41.x86_6 100% |   1.5 MiB/s | 122.5 KiB |  00m00s
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[ 28/165] libXmu-0:1.2.1-2.fc41.x86_64  100% | 192.7 KiB/s |  78.0 KiB |  00m00s
[ 29/165] libjpeg-turbo-0:3.0.2-3.fc41. 100% |   2.0 MiB/s | 227.3 KiB |  00m00s
[ 30/165] libpng-2:1.6.40-4.fc41.x86_64 100% | 841.2 KiB/s | 120.3 KiB |  00m00s
[ 31/165] libtiff-0:4.6.0-6.fc41.x86_64 100% |   1.9 MiB/s | 212.0 KiB |  00m00s
[ 32/165] tk-1:8.6.14-2.fc41.x86_64     100% |   1.8 MiB/s |   1.6 MiB |  00m01s
[ 33/165] tre-0:0.8.0-45.20140228gitc2f 100% | 344.1 KiB/s |  43.7 KiB |  00m00s
[ 34/165] xdg-utils-0:1.2.1-2.fc41.noar 100% | 900.8 KiB/s |  79.3 KiB |  00m00s
[ 35/165] R-CRAN-digest-0:0.6.37-1.fc41 100% | 535.5 KiB/s | 229.7 KiB |  00m00s
[ 36/165] libicu-0:74.2-2.fc41.x86_64   100% |   3.5 MiB/s |  10.4 MiB |  00m03s
[ 37/165] R-CRAN-nlme-0:3.1.168-1.fc41. 100% |   3.3 MiB/s |   2.4 MiB |  00m01s
[ 38/165] R-CRAN-MASS-0:7.3.65-1.fc41.c 100% |   2.5 MiB/s |   1.2 MiB |  00m00s
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[ 40/165] R-CRAN-coda-0:0.19.4.1-1.fc41 100% |   1.7 MiB/s | 360.1 KiB |  00m00s
[ 41/165] R-CRAN-combinat-0:0.0.8-3.fc4 100% | 337.3 KiB/s |  54.6 KiB |  00m00s
[ 42/165] R-CRAN-maps-0:3.4.3-1.fc41.co 100% |   3.2 MiB/s |   2.3 MiB |  00m01s
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[ 49/165] R-java-0:4.4.3-1.fc41.x86_64  100% | 286.1 KiB/s |   9.4 KiB |  00m00s
[ 50/165] make-1:4.4.1-8.fc41.x86_64    100% |   3.5 MiB/s | 586.1 KiB |  00m00s
[ 51/165] jbigkit-libs-0:2.1-30.fc41.x8 100% |   1.4 MiB/s |  53.3 KiB |  00m00s
[ 52/165] fontconfig-0:2.15.0-8.fc41.x8 100% |   1.3 MiB/s | 269.9 KiB |  00m00s
[ 53/165] libXext-0:1.3.6-2.fc41.x86_64 100% |  91.5 KiB/s |  39.1 KiB |  00m00s
[ 54/165] libXft-0:2.3.8-7.fc41.x86_64  100% | 201.5 KiB/s |  72.3 KiB |  00m00s
[ 55/165] tre-common-0:0.8.0-45.2014022 100% | 104.5 KiB/s |  31.3 KiB |  00m00s
[ 56/165] R-core-0:4.4.3-1.fc41.x86_64  100% |   8.6 MiB/s |  67.1 MiB |  00m08s
[ 57/165] R-CRAN-fastmatch-0:1.1.6-1.fc 100% | 155.0 KiB/s |  49.8 KiB |  00m00s
[ 58/165] desktop-file-utils-0:0.27-2.f 100% | 189.2 KiB/s |  68.9 KiB |  00m00s
[ 59/165] R-CRAN-generics-0:0.1.4-1.fc4 100% | 896.4 KiB/s | 104.0 KiB |  00m00s
[ 60/165] default-fonts-core-sans-0:4.1 100% | 357.8 KiB/s |  31.1 KiB |  00m00s
[ 61/165] fonts-filesystem-1:2.0.5-17.f 100% |  54.7 KiB/s |   8.5 KiB |  00m00s
[ 62/165] R-CRAN-quadprog-0:1.5.8-3.fc4 100% |  75.3 KiB/s |  43.7 KiB |  00m01s
[ 63/165] freetype-0:2.13.3-1.fc41.x86_ 100% |   1.1 MiB/s | 409.2 KiB |  00m00s
[ 64/165] xml-common-0:0.6.3-65.fc41.no 100% | 149.5 KiB/s |  31.2 KiB |  00m00s
[ 65/165] emacs-filesystem-1:30.0-3.fc4 100% |  13.8 KiB/s |   7.1 KiB |  00m01s
[ 66/165] glpk-0:5.0-12.fc41.x86_64     100% | 700.3 KiB/s | 390.1 KiB |  00m01s
[ 67/165] R-CRAN-igraph-0:2.1.4-1.fc41. 100% |   2.7 MiB/s |   5.3 MiB |  00m02s
[ 68/165] R-CRAN-cli-0:3.6.5-1.fc41.cop 100% |   1.2 MiB/s |   1.4 MiB |  00m01s
[ 69/165] R-CRAN-lifecycle-0:1.0.4-1.fc 100% | 131.1 KiB/s | 130.2 KiB |  00m01s
[ 70/165] R-CRAN-pkgconfig-0:2.0.3-3.fc 100% |  63.9 KiB/s |  30.0 KiB |  00m00s
[ 71/165] abattis-cantarell-vf-fonts-0: 100% | 675.5 KiB/s | 120.2 KiB |  00m00s
[ 72/165] R-CRAN-rlang-0:1.1.6-1.fc41.c 100% |   2.4 MiB/s |   1.7 MiB |  00m01s
[ 73/165] google-noto-sans-vf-fonts-0:2 100% |   1.1 MiB/s | 594.1 KiB |  00m01s
[ 74/165] R-CRAN-vctrs-0:0.6.5-1.fc41.c 100% |   1.6 MiB/s |   1.3 MiB |  00m01s
[ 75/165] R-CRAN-glue-0:1.8.0-1.fc41.co 100% |   1.5 MiB/s | 174.9 KiB |  00m00s
[ 76/165] google-noto-fonts-common-0:20 100% | 219.7 KiB/s |  18.0 KiB |  00m00s
[ 77/165] graphite2-0:1.3.14-16.fc41.x8 100% | 267.2 KiB/s |  95.1 KiB |  00m00s
[ 78/165] flexiblas-netlib-0:3.4.5-1.fc 100% |   7.7 MiB/s |   3.3 MiB |  00m00s
[ 79/165] flexiblas-0:3.4.5-1.fc41.x86_ 100% |   1.3 MiB/s |  26.2 KiB |  00m00s
[ 80/165] flexiblas-openblas-openmp-0:3 100% | 963.2 KiB/s |  17.3 KiB |  00m00s
[ 81/165] harfbuzz-0:9.0.0-3.fc41.x86_6 100% | 876.1 KiB/s |   1.0 MiB |  00m01s
[ 82/165] libgfortran-0:14.3.1-1.fc41.x 100% |  13.6 MiB/s | 950.4 KiB |  00m00s
[ 83/165] libX11-0:1.8.11-1.fc41.x86_64 100% |   1.6 MiB/s | 650.3 KiB |  00m00s
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[ 86/165] libXau-0:1.0.11-7.fc41.x86_64 100% | 514.3 KiB/s |  31.9 KiB |  00m00s
[ 87/165] tcl-1:8.6.14-5.fc41.x86_64    100% |   4.4 MiB/s |   1.1 MiB |  00m00s
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[ 94/165] libICE-0:1.1.2-1.fc41.x86_64  100% | 445.5 KiB/s |  75.3 KiB |  00m00s
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[ 97/165] gnutls-0:3.8.9-2.fc41.x86_64  100% |   7.2 MiB/s |   1.2 MiB |  00m00s
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[ 99/165] nettle-0:3.10-3.fc41.x86_64   100% |   1.2 MiB/s | 428.5 KiB |  00m00s
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[103/165] libXi-0:1.8.2-1.fc41.x86_64   100% | 458.9 KiB/s |  39.9 KiB |  00m00s
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[110/165] flexiblas-devel-0:3.4.5-1.fc4 100% |   3.2 MiB/s | 122.9 KiB |  00m00s
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[114/165] openblas-openmp64-0:0.3.26-5. 100% |   3.3 MiB/s |   4.9 MiB |  00m02s
[115/165] gcc-c++-0:14.3.1-1.fc41.x86_6 100% |   7.9 MiB/s |  14.2 MiB |  00m02s
[116/165] libmpc-0:1.3.1-6.fc41.x86_64  100% |   1.2 MiB/s |  71.1 KiB |  00m00s
[117/165] cpp-0:14.3.1-1.fc41.x86_64    100% |  12.3 MiB/s |  12.0 MiB |  00m01s
[118/165] java-21-openjdk-headless-1:21 100% |   7.5 MiB/s |  47.2 MiB |  00m06s
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[125/165] zlib-ng-compat-devel-0:2.2.3- 100% |   1.8 MiB/s |  38.3 KiB |  00m00s
[126/165] xz-devel-1:5.8.1-2.fc41.x86_6 100% |   2.8 MiB/s |  67.0 KiB |  00m00s
[127/165] bzip2-devel-0:1.0.8-19.fc41.x 100% |   3.7 MiB/s | 213.7 KiB |  00m00s
[128/165] pcre2-devel-0:10.44-1.fc41.1. 100% |   4.2 MiB/s | 521.5 KiB |  00m00s
[129/165] libicu-devel-0:74.2-2.fc41.x8 100% |   4.3 MiB/s | 928.2 KiB |  00m00s
[130/165] pcre2-utf16-0:10.44-1.fc41.1. 100% |   4.6 MiB/s | 222.8 KiB |  00m00s
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[133/165] less-0:668-1.fc41.x86_64      100% |   6.4 MiB/s | 189.4 KiB |  00m00s
[134/165] cairo-0:1.18.2-2.fc41.x86_64  100% |  12.7 MiB/s | 690.9 KiB |  00m00s
[135/165] pango-0:1.56.3-1.fc41.x86_64  100% |   9.5 MiB/s | 350.3 KiB |  00m00s
[136/165] fribidi-0:1.0.15-2.fc41.x86_6 100% | 688.0 KiB/s |  92.2 KiB |  00m00s
[137/165] libdatrie-0:0.2.13-10.fc41.x8 100% |   1.2 MiB/s |  32.2 KiB |  00m00s
[138/165] cmake-filesystem-0:3.30.8-1.f 100% | 622.8 KiB/s |  16.8 KiB |  00m00s
[139/165] libX11-xcb-0:1.8.11-1.fc41.x8 100% | 560.3 KiB/s |  11.8 KiB |  00m00s
[140/165] libthai-0:0.1.29-9.fc41.x86_6 100% | 827.2 KiB/s | 211.8 KiB |  00m00s
[141/165] alsa-lib-0:1.2.14-2.fc41.x86_ 100% |  10.3 MiB/s | 519.2 KiB |  00m00s
[142/165] cups-libs-1:2.4.12-2.fc41.x86 100% |   3.8 MiB/s | 261.6 KiB |  00m00s
[143/165] cups-filesystem-1:2.4.12-2.fc 100% | 708.6 KiB/s |  13.5 KiB |  00m00s
[144/165] libxcb-devel-0:1.17.0-3.fc41. 100% |   2.9 MiB/s |   1.4 MiB |  00m00s
[145/165] dbus-libs-1:1.14.10-4.fc41.x8 100% |   1.9 MiB/s | 155.1 KiB |  00m00s
[146/165] avahi-libs-0:0.8-29.fc41.x86_ 100% | 176.5 KiB/s |  66.7 KiB |  00m00s
[147/165] lksctp-tools-0:1.0.20-1.fc41. 100% |   2.9 MiB/s |  97.1 KiB |  00m00s
[148/165] nss-softokn-0:3.111.0-2.fc41. 100% |   8.2 MiB/s | 412.2 KiB |  00m00s
[149/165] nss-0:3.111.0-2.fc41.x86_64   100% |   7.8 MiB/s | 705.5 KiB |  00m00s
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[152/165] tzdata-java-0:2025b-1.fc41.no 100% |   1.8 MiB/s |  46.3 KiB |  00m00s
[153/165] libquadmath-devel-0:14.3.1-1. 100% |   2.2 MiB/s |  54.9 KiB |  00m00s
[154/165] glibc-devel-0:2.40-25.fc41.x8 100% |   5.1 MiB/s | 612.5 KiB |  00m00s
[155/165] pixman-0:0.44.2-1.fc41.x86_64 100% |   2.9 MiB/s | 269.1 KiB |  00m00s
[156/165] libXau-devel-0:1.0.11-7.fc41. 100% | 575.8 KiB/s |  13.8 KiB |  00m00s
[157/165] libstdc++-devel-0:14.3.1-1.fc 100% |  11.2 MiB/s |   2.8 MiB |  00m00s
[158/165] nspr-0:4.36.0-7.fc41.x86_64   100% |   2.1 MiB/s | 136.9 KiB |  00m00s
[159/165] nss-util-0:3.111.0-2.fc41.x86 100% |   1.4 MiB/s |  86.0 KiB |  00m00s
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[164/165] kernel-headers-0:6.14.3-200.f 100% |   3.6 MiB/s |   1.7 MiB |  00m00s
[165/165] gcc-0:14.3.1-1.fc41.x86_64    100% |   6.1 MiB/s |  37.0 MiB |  00m06s
--------------------------------------------------------------------------------
[165/165] Total                         100% |  12.3 MiB/s | 326.6 MiB |  00m27s
Running transaction
[  1/167] Verify package files          100% | 150.0   B/s | 165.0   B |  00m01s
>>> Running pre-transaction scriptlet: java-21-openjdk-headless-1:21.0.7.0.6-1.f
>>> Finished pre-transaction scriptlet: java-21-openjdk-headless-1:21.0.7.0.6-1.
>>> [RPM] /var/lib/mock/fedora-41-x86_64-1748829777.705636/root/var/cache/dnf/co
[  2/167] Prepare transaction           100% | 408.0   B/s | 165.0   B |  00m00s
[  3/167] Installing libgfortran-0:14.3 100% | 233.9 MiB/s |   3.0 MiB |  00m00s
[  4/167] Installing nspr-0:4.36.0-7.fc 100% | 104.9 MiB/s | 322.1 KiB |  00m00s
[  5/167] Installing nss-util-0:3.111.0 100% | 100.6 MiB/s | 206.1 KiB |  00m00s
[  6/167] Installing libmpc-0:1.3.1-6.f 100% |  81.1 MiB/s | 166.2 KiB |  00m00s
[  7/167] Installing libquadmath-0:14.3 100% | 159.7 MiB/s | 327.1 KiB |  00m00s
[  8/167] Installing fonts-filesystem-1 100% |   0.0   B/s | 788.0   B |  00m00s
[  9/167] Installing libpng-2:1.6.40-4. 100% | 120.6 MiB/s | 247.1 KiB |  00m00s
[ 10/167] Installing cmake-filesystem-0 100% |   2.4 MiB/s |   7.3 KiB |  00m00s
[ 11/167] Installing libdeflate-0:1.24- 100% |  58.8 MiB/s | 120.5 KiB |  00m00s
[ 12/167] Installing xorg-x11-proto-dev 100% | 127.3 MiB/s |   1.8 MiB |  00m00s
[ 13/167] Installing libICE-0:1.1.2-1.f 100% |  96.5 MiB/s | 197.6 KiB |  00m00s
[ 14/167] Installing openblas-0:0.3.26- 100% |  47.8 MiB/s |  97.8 KiB |  00m00s
[ 15/167] Installing tcl-1:8.6.14-5.fc4 100% | 176.5 MiB/s |   4.2 MiB |  00m00s
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Warning: skipped OpenPGP checks for 43 packages from repository: copr_base
Complete!
Finish: build setup for R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.src.rpm
Start: rpmbuild R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.src.rpm
Building target platforms: x86_64
Building for target x86_64
warning: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from
Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.8CJzH1
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.fjChaO
+ umask 022
+ cd /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build
+ cd /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build
+ rm -rf DAISIE
+ /usr/bin/mkdir -p DAISIE
+ cd DAISIE
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/DAISIE_4.6.0.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';'
+ '[' -d DAISIE/src ']'
+ find DAISIE/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';'
+ '[' -d DAISIE/src ']'
+ find DAISIE/src/Makevars DAISIE/src/Makevars.win -type f -exec sed -i s@-g0@@g '{}' ';'
+ find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.zsHLUH
+ umask 022
+ cd /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd DAISIE
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.TV4gv1
+ umask 022
+ cd /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build
+ '[' /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/BUILDROOT '!=' / ']'
+ rm -rf /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/BUILDROOT
++ dirname /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/BUILDROOT
+ mkdir -p /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build
+ mkdir /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/BUILDROOT
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd DAISIE
+ mkdir -p /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/BUILDROOT/usr/local/lib/R/library
+ /usr/bin/R CMD INSTALL -l /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/BUILDROOT/usr/local/lib/R/library DAISIE
* installing *source* package ‘DAISIE’ ...
** package ‘DAISIE’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C compiler: ‘gcc (GCC) 14.3.1 20250523 (Red Hat 14.3.1-1)’
using Fortran compiler: ‘GNU Fortran (GCC) 14.3.1 20250523 (Red Hat 14.3.1-1)’
using C++ compiler: ‘g++ (GCC) 14.3.1 20250523 (Red Hat 14.3.1-1)’
using C++17
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -D_HAS_AUTO_PTR_ETC=0 -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/BH/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c DAISIE_CS.cpp -o DAISIE_CS.o
In file included from /usr/local/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/apply.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/serialization/array_optimization.hpp:18,
                 from /usr/local/lib/R/library/BH/include/boost/serialization/array_wrapper.hpp:21,
                 from /usr/local/lib/R/library/BH/include/boost/serialization/array.hpp:26,
                 from /usr/local/lib/R/library/BH/include/boost/numeric/ublas/storage.hpp:22,
                 from /usr/local/lib/R/library/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from DAISIE_types.h:14,
                 from DAISIE_odeint.h:13,
                 from DAISIE_CS.cpp:14:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
      |                     -
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
      |     -
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
In file included from /usr/local/lib/R/library/BH/include/boost/concept/assert.hpp:35,
                 from /usr/local/lib/R/library/BH/include/boost/concept_check.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:19,
                 from /usr/local/lib/R/library/BH/include/boost/range/size_type.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size.hpp:21,
                 from /usr/local/lib/R/library/BH/include/boost/range/functions.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range.hpp:18,
                 from /usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resize.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from /usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33,
                 from /usr/local/lib/R/library/BH/include/boost/numeric/odeint.hpp:25,
                 from DAISIE_odeint.h:14:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
In file included from /usr/local/lib/R/library/BH/include/boost/concept_check.hpp:31:
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]’:
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’:
/usr/local/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]’:
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:152:13:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:152:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:278:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/usr/local/lib/R/library/BH/include/boost/range/algorithm/equal.hpp:174:13:   required from ‘OutputIterator boost::range::copy(const SinglePassRange&, OutputIterator) [with SinglePassRange = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; OutputIterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/copy.hpp:38:27:   required from ‘void boost::numeric::odeint::detail::do_copying(const Container1&, Container2&, std::integral_constant<bool, true>) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   38 |         boost::range::copy( from , boost::begin( to ) );
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/copy.hpp:61:27:   required from ‘static void boost::numeric::odeint::copy_impl_sfinae<Container1, Container2, Enabler>::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Enabler = void]’
   61 |         detail::do_copying( from , to , is_range_type() );
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/copy.hpp:71:58:   required from ‘static void boost::numeric::odeint::copy_impl<Container1, Container2>::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   71 |         copy_impl_sfinae< Container1 , Container2 >::copy( from , to );
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/copy.hpp:79:47:   required from ‘void boost::numeric::odeint::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   79 |     copy_impl< Container1 , Container2 >::copy( from , to );
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:278:9:   required from ‘struct boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/size.hpp:62:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/size.hpp:62:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/usr/local/lib/R/library/BH/include/boost/range/size.hpp:62:9:   required from ‘typename boost::range_size<const SinglePassRange>::type boost::size(const SinglePassRange&) [with SinglePassRange = numeric::ublas::vector<double, numeric::ublas::unbounded_array<double, std::allocator<double> > >; typename range_size<const SinglePassRange>::type = long unsigned int]’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/same_size.hpp:45:29:   required from ‘static bool boost::numeric::odeint::same_size_impl_sfinae<State1, State2, Enabler>::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; State2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Enabler = void]’
   45 |         return ( boost::size( x1 ) == boost::size( x2 ) );
      |                  ~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/same_size.hpp:57:67:   required from ‘static bool boost::numeric::odeint::same_size_impl<State1, State2>::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; State2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   57 |         return same_size_impl_sfinae< State1 , State2 >::same_size( x1 , x2 );
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/same_size.hpp:66:56:   required from ‘bool boost::numeric::odeint::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; State2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   66 |     return same_size_impl< State1 , State2 >::same_size( x1 , x2 );
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:34:20:   required from ‘bool boost::numeric::odeint::adjust_size_by_resizeability(ResizeWrappedState&, const State&, std::true_type) [with ResizeWrappedState = state_wrapper<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, void>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; std::true_type = std::true_type]’
   34 |     if ( !same_size( x.m_v , y ) )
      |           ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:263:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible<TT>::~CopyConstructible() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable<TT>::~EqualityComparable() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible<TT>::~CopyConstructible() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable<TT>::~EqualityComparable() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:391:29:   required from here
  391 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:31:10: warning: ‘{anonymous}::abm_factor’ defined but not used [-Wunused-variable]
   31 |   double abm_factor = default_abm_factor;
      |          ^~~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -D_HAS_AUTO_PTR_ETC=0 -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/BH/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c DAISIE_IW.cpp -o DAISIE_IW.o
In file included from /usr/local/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/mpl/apply.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/serialization/array_optimization.hpp:18,
                 from /usr/local/lib/R/library/BH/include/boost/serialization/array_wrapper.hpp:21,
                 from /usr/local/lib/R/library/BH/include/boost/serialization/array.hpp:26,
                 from /usr/local/lib/R/library/BH/include/boost/numeric/ublas/storage.hpp:22,
                 from /usr/local/lib/R/library/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from DAISIE_types.h:14,
                 from DAISIE_odeint.h:13,
                 from DAISIE_IW.cpp:16:
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
      |                     -
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
      |     -
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
/usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from DAISIE_IW.cpp:18:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:29:101:   required from ‘struct Eigen::internal::traits<Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >’
   29 |                                typename remove_const<typename RhsXprType::Scalar>::type>::ResScalar Scalar;
      |                                                                                                     ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:33:44:   required from ‘class Eigen::TensorBase<Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, 0>’
   33 |     typedef typename DerivedTraits::Scalar Scalar;
      |                                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:325:7:   required from ‘class Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>’
  325 | class TensorContractionOp : public TensorBase<TensorContractionOp<Indices, LhsXprType, RhsXprType, OutputKernelType>, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:180:62:   required from here
  180 |       (laa_ * xx_slice(1,2) + c_[7] * xx_slice(1,1)).contract(ki_, product_dims);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
In file included from /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/Tensor:123,
                 from DAISIE_IW.cpp:19:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:135:58: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  135 |           Expression, DefaultDevice>::PacketReturnType>::size;
      |                                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of ‘const int Eigen::internal::EvalRange<Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >, Eigen::ThreadPoolDevice>, long int, true>::PacketSize’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:293:31:   required from ‘static void Eigen::internal::EvalRange<Evaluator, StorageIndex, true>::run(Evaluator*, StorageIndex, StorageIndex) [with Evaluator = Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >, Eigen::ThreadPoolDevice>; StorageIndex = long int]’
  293 |     if (lastIdx - firstIdx >= PacketSize) {
      |                               ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:341:42:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  341 |                            EvalRange::run(&evaluator, firstIdx, lastIdx);
      |                            ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:286:62: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  286 |       unpacket_traits<typename Evaluator::PacketReturnType>::size;
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<double, 2>, const Eigen::TensorMap<Eigen::Tensor<const double, 2> > >]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/Tensor.h:432:65:   required from ‘Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMap<Eigen::Tensor<const double, 2> >; Scalar_ = double; int NumIndices_ = 2; int Options_ = 0; IndexType_ = long int]’
  432 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:130:34:   required from ‘{anonymous}::cpp_daisie_iw<Rank>::cpp_daisie_iw(Rcpp::List) [with int Rank = 2; Rcpp::List = Rcpp::Vector<19>]’
  130 |       ki_ = cmmap(ki.begin(), dim);
      |                                  ^
/usr/include/c++/14/bits/unique_ptr.h:1077:30:   required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = {anonymous}::cpp_daisie_iw<2>; _Args = {Rcpp::Vector<19, Rcpp::PreserveStorage>&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t<{anonymous}::cpp_daisie_iw<2> >]’
 1077 |     { return unique_ptr<_Tp>(new _Tp(std::forward<_Args>(__args)...)); }
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:208:49:   required from here
  208 |         iw2 = std::make_unique<cpp_daisie_iw<2>>(pars);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:135:58: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<double, 2>, const Eigen::TensorMap<Eigen::Tensor<const double, 2> > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  135 |           Expression, DefaultDevice>::PacketReturnType>::size;
      |                                                          ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/Tensor:91:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘Eigen::TensorOpCost Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::contractionCost(Index, Index, Index, Index, Index, bool, bool) const [with Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:158:9:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  158 |         contractionCost(m, n, bm, bn, bk, shard_by_col, false);
      |         ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1562:81: warning: ignoring attributes on template argument ‘Eigen::PacketType<double, Eigen::ThreadPoolDevice>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1562 |     const int output_packet_size = internal::unpacket_traits<PacketReturnType>::size;
      |                                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘int Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::numThreadsInnerDim(Index, Index, Index) const [with Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:161:28:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  161 |     int num_threads_by_k = numThreadsInnerDim(m, n, k);
      |                            ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1629:81: warning: ignoring attributes on template argument ‘Eigen::PacketType<double, Eigen::ThreadPoolDevice>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1629 |     const int output_packet_size = internal::unpacket_traits<PacketReturnType>::size;
      |                                                                                 ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/Tensor:90:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>, 0, false, double, Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 16, Eigen::MakePointer>, false, 0>’
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:767:117:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  767 |     internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  768 |         rows, cols, lhs, rhs,
      |         ~~~~~~~~~~~~~~~~~~~~~                                                                                        
  769 |         buffer, resIncr, alpha);
      |         ~~~~~~~~~~~~~~~~~~~~~~~                                                                                      
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>, 0, false, double, Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 16, Eigen::MakePointer>, false, 0>’
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:767:117:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  767 |     internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  768 |         rows, cols, lhs, rhs,
      |         ~~~~~~~~~~~~~~~~~~~~~                                                                                        
  769 |         buffer, resIncr, alpha);
      |         ~~~~~~~~~~~~~~~~~~~~~~~                                                                                      
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>, 0, false, double, Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 16, Eigen::MakePointer>, false, 0>’
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:767:117:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  767 |     internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  768 |         rows, cols, lhs, rhs,
      |         ~~~~~~~~~~~~~~~~~~~~~                                                                                        
  769 |         buffer, resIncr, alpha);
      |         ~~~~~~~~~~~~~~~~~~~~~~~                                                                                      
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘Eigen::TensorOpCost Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::contractionCostPerInnerDim(Index, Index, Index) const [with Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1630:25:   required from ‘int Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::numThreadsInnerDim(Index, Index, Index) const [with Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Index = long int]’
 1630 |     TensorOpCost cost = contractionCostPerInnerDim(m, n, k);
      |                         ^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:161:28:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  161 |     int num_threads_by_k = numThreadsInnerDim(m, n, k);
      |                            ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1616:81: warning: ignoring attributes on template argument ‘Eigen::PacketType<double, Eigen::ThreadPoolDevice>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1616 |     const int output_packet_size = internal::unpacket_traits<PacketReturnType>::size;
      |                                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘static void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::addAllToBuffer(std::size_t, const Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar*, const Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar*, const Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar*, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar*) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; std::size_t = long unsigned int; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1278:34:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::aggregateL0Blocks() const [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1278 |         addAllToBuffer<Alignment>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^
 1279 |             m * n,
      |             ~~~~~~                
 1280 |             /*src_buf0=*/block_buffers[(l0_index + 0) * l0_size],
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1281 |             /*src_buf1=*/block_buffers[(l0_index + 1) * l0_size],
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1282 |             /*src_buf2=*/block_buffers[(l0_index + 2) * l0_size],
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1283 |             /*dst_buf= */ block_buffers[0]);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1166:35:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1166 |       aggregateL0Blocks<Alignment>();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1348:56: warning: ignoring attributes on template argument ‘Eigen::PacketType<double, Eigen::ThreadPoolDevice>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1348 |           internal::unpacket_traits<PacketReturnType>::size;
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘static void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::addToBuffer(std::size_t, const Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar*, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar*) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; std::size_t = long unsigned int; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1287:31:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::aggregateL0Blocks() const [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1287 |         addToBuffer<Alignment>(m * n, block_buffers[l0_index * l0_size],
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1288 |                                block_buffers[0]);
      |                                ~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1166:35:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1166 |       aggregateL0Blocks<Alignment>();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1319:56: warning: ignoring attributes on template argument ‘Eigen::PacketType<double, Eigen::ThreadPoolDevice>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1319 |           internal::unpacket_traits<PacketReturnType>::size;
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:259:5:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::invoke(const OutputMapper&, LhsScalar* const&, RhsScalar* const&, StorageIndex, StorageIndex, StorageIndex, ResScalar, ResScalar) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; RhsBlock = double*]’
  259 |     GebpKernel()(output_mapper, lhsBlock, rhsBlock, rows, depth, cols, alpha,
      |     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:900:24:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  900 |           kernel.invoke(output_mapper, blockA, blockB, actual_mc, actual_kc,
      |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  901 |                         actual_nc, alpha, beta);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:259:5:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::invoke(const OutputMapper&, LhsScalar* const&, RhsScalar* const&, StorageIndex, StorageIndex, StorageIndex, ResScalar, ResScalar) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; RhsBlock = double*]’
  259 |     GebpKernel()(output_mapper, lhsBlock, rhsBlock, rows, depth, cols, alpha,
      |     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:900:24:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  900 |           kernel.invoke(output_mapper, blockA, blockB, actual_mc, actual_kc,
      |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  901 |                         actual_nc, alpha, beta);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
In file included from /usr/local/lib/R/library/BH/include/boost/concept/assert.hpp:35,
                 from /usr/local/lib/R/library/BH/include/boost/concept_check.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:19,
                 from /usr/local/lib/R/library/BH/include/boost/range/size_type.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range/size.hpp:21,
                 from /usr/local/lib/R/library/BH/include/boost/range/functions.hpp:20,
                 from /usr/local/lib/R/library/BH/include/boost/range.hpp:18,
                 from /usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resize.hpp:24,
                 from /usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from /usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33,
                 from /usr/local/lib/R/library/BH/include/boost/numeric/odeint.hpp:25,
                 from DAISIE_odeint.h:14:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
In file included from /usr/local/lib/R/library/BH/include/boost/concept_check.hpp:31:
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]’:
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’:
/usr/local/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]’:
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:152:13:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:152:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:278:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/usr/local/lib/R/library/BH/include/boost/range/algorithm/equal.hpp:174:13:   required from ‘OutputIterator boost::range::copy(const SinglePassRange&, OutputIterator) [with SinglePassRange = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; OutputIterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/copy.hpp:38:27:   required from ‘void boost::numeric::odeint::detail::do_copying(const Container1&, Container2&, std::integral_constant<bool, true>) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   38 |         boost::range::copy( from , boost::begin( to ) );
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/copy.hpp:61:27:   required from ‘static void boost::numeric::odeint::copy_impl_sfinae<Container1, Container2, Enabler>::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Enabler = void]’
   61 |         detail::do_copying( from , to , is_range_type() );
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/copy.hpp:71:58:   required from ‘static void boost::numeric::odeint::copy_impl<Container1, Container2>::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   71 |         copy_impl_sfinae< Container1 , Container2 >::copy( from , to );
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/copy.hpp:79:47:   required from ‘void boost::numeric::odeint::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   79 |     copy_impl< Container1 , Container2 >::copy( from , to );
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:241:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packLhs(LhsScalar**, const typename LhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; typename LhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>]’
  241 |     LhsPacker()(*lhsBlock, data_mapper, depth, rows, /*stride*/ 0,
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         /*offset*/ 0);
      |         ~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:881:23:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  881 |         kernel.packLhs(&blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:259:17:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::invoke(const OutputMapper&, LhsScalar* const&, RhsScalar* const&, StorageIndex, StorageIndex, StorageIndex, ResScalar, ResScalar) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; RhsBlock = double*]’
  259 |     GebpKernel()(output_mapper, lhsBlock, rhsBlock, rows, depth, cols, alpha,
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  260 |         /*strideA*/ kComputeStrideFromBlockDimensions,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  261 |         /*strideB*/ kComputeStrideFromBlockDimensions,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  262 |         /*offsetA*/ 0, /*offsetB*/ 0);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:900:24:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  900 |           kernel.invoke(output_mapper, blockA, blockB, actual_mc, actual_kc,
      |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  901 |                         actual_nc, alpha, beta);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, true, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, true, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, true, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:241:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packLhs(LhsScalar**, const typename LhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; typename LhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>]’
  241 |     LhsPacker()(*lhsBlock, data_mapper, depth, rows, /*stride*/ 0,
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         /*offset*/ 0);
      |         ~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:881:23:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  881 |         kernel.packLhs(&blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:278:9:   required from ‘struct boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/size.hpp:62:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’:
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/size.hpp:62:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/usr/local/lib/R/library/BH/include/boost/range/size.hpp:62:9:   required from ‘typename boost::range_size<const SinglePassRange>::type boost::size(const SinglePassRange&) [with SinglePassRange = numeric::ublas::vector<double, numeric::ublas::unbounded_array<double, std::allocator<double> > >; typename range_size<const SinglePassRange>::type = long unsigned int]’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/same_size.hpp:45:29:   required from ‘static bool boost::numeric::odeint::same_size_impl_sfinae<State1, State2, Enabler>::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; State2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Enabler = void]’
   45 |         return ( boost::size( x1 ) == boost::size( x2 ) );
      |                  ~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/same_size.hpp:57:67:   required from ‘static bool boost::numeric::odeint::same_size_impl<State1, State2>::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; State2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   57 |         return same_size_impl_sfinae< State1 , State2 >::same_size( x1 , x2 );
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/same_size.hpp:66:56:   required from ‘bool boost::numeric::odeint::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; State2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   66 |     return same_size_impl< State1 , State2 >::same_size( x1 , x2 );
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:34:20:   required from ‘bool boost::numeric::odeint::adjust_size_by_resizeability(ResizeWrappedState&, const State&, std::true_type) [with ResizeWrappedState = state_wrapper<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, void>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; std::true_type = std::true_type]’
   34 |     if ( !same_size( x.m_v , y ) )
      |           ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:263:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible<TT>::~CopyConstructible() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable<TT>::~EqualityComparable() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:261:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  261 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:241:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packLhs(LhsScalar**, const typename LhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; typename LhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>]’
  241 |     LhsPacker()(*lhsBlock, data_mapper, depth, rows, /*stride*/ 0,
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         /*offset*/ 0);
      |         ~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:881:23:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  881 |         kernel.packLhs(&blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, true, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, true, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, true, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:241:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packLhs(LhsScalar**, const typename LhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; typename LhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>]’
  241 |     LhsPacker()(*lhsBlock, data_mapper, depth, rows, /*stride*/ 0,
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         /*offset*/ 0);
      |         ~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:881:23:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  881 |         kernel.packLhs(&blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible<TT>::~CopyConstructible() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable<TT>::~EqualityComparable() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/usr/local/lib/R/library/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:158:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  158 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:230:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  230 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/usr/local/lib/R/library/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
gfortran -std=f2018 -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules   -c  DAISIE_loglik_rhs_FORTRAN.f95 -o DAISIE_loglik_rhs_FORTRAN.o
f951: Warning: -D_FORTIFY_SOURCE not defined
f951: Warning: -D_GLIBCXX_ASSERTIONS not defined
DAISIE_loglik_rhs_FORTRAN.f95:15:25:

   15 |       INTEGER DIMP, II, I
      |                         1
Warning: Unused variable ‘i’ declared at (1) [-Wunused-variable]
DAISIE_loglik_rhs_FORTRAN.f95:81:35:

   81 |       SUBROUTINE daisie_runmod (neq, t, Conc, dConc, yout, ip)
      |                                   1
Warning: Unused dummy argument ‘neq’ at (1) [-Wunused-dummy-argument]
DAISIE_loglik_rhs_FORTRAN.f95:81:38:

   81 |       SUBROUTINE daisie_runmod (neq, t, Conc, dConc, yout, ip)
      |                                      1
Warning: Unused dummy argument ‘t’ at (1) [-Wunused-dummy-argument]
DAISIE_loglik_rhs_FORTRAN.f95:222:30:

  222 |       DOUBLE PRECISION  :: FF1, FFF
      |                              1
Warning: Unused variable ‘ff1’ declared at (1) [-Wunused-variable]
DAISIE_loglik_rhs_FORTRAN.f95:222:35:

  222 |       DOUBLE PRECISION  :: FF1, FFF
      |                                   1
Warning: Unused variable ‘fff’ declared at (1) [-Wunused-variable]
DAISIE_loglik_rhs_FORTRAN.f95:229:28:

  229 |       CHARACTER(len=100) msg
      |                            1
Warning: Unused variable ‘msg’ declared at (1) [-Wunused-variable]
DAISIE_loglik_rhs_FORTRAN.f95:208:36:

  208 |       SUBROUTINE daisie_runmod1 (neq, t, Conc, dConc, yout, ip)
      |                                    1
Warning: Unused dummy argument ‘neq’ at (1) [-Wunused-dummy-argument]
DAISIE_loglik_rhs_FORTRAN.f95:225:28:

  225 |       DOUBLE PRECISION rn(2)
      |                            1
Warning: Unused variable ‘rn’ declared at (1) [-Wunused-variable]
DAISIE_loglik_rhs_FORTRAN.f95:208:39:

  208 |       SUBROUTINE daisie_runmod1 (neq, t, Conc, dConc, yout, ip)
      |                                       1
Warning: Unused dummy argument ‘t’ at (1) [-Wunused-dummy-argument]
DAISIE_loglik_rhs_FORTRAN.f95:383:36:

  383 |       SUBROUTINE daisie_runmod2 (neq, t, Conc, dConc, yout, ip)
      |                                    1
Warning: Unused dummy argument ‘neq’ at (1) [-Wunused-dummy-argument]
DAISIE_loglik_rhs_FORTRAN.f95:383:39:

  383 |       SUBROUTINE daisie_runmod2 (neq, t, Conc, dConc, yout, ip)
      |                                       1
Warning: Unused dummy argument ‘t’ at (1) [-Wunused-dummy-argument]
DAISIE_loglik_rhs_FORTRAN.f95:594:47:

  594 |       INTEGER           :: neq, ip(*), i, ii, j
      |                                               1
Warning: Unused variable ‘j’ declared at (1) [-Wunused-variable]
DAISIE_loglik_rhs_FORTRAN.f95:589:36:

  589 |       SUBROUTINE daisie_runmod3 (neq, t, Conc, dConc, yout, ip)
      |                                    1
Warning: Unused dummy argument ‘neq’ at (1) [-Wunused-dummy-argument]
DAISIE_loglik_rhs_FORTRAN.f95:589:39:

  589 |       SUBROUTINE daisie_runmod3 (neq, t, Conc, dConc, yout, ip)
      |                                       1
Warning: Unused dummy argument ‘t’ at (1) [-Wunused-dummy-argument]
gcc -I"/usr/include/R" -DNDEBUG -D_HAS_AUTO_PTR_ETC=0 -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/BH/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer   -c R_init_DAISIE.c -o R_init_DAISIE.o
g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o DAISIE.so DAISIE_CS.o DAISIE_IW.o DAISIE_loglik_rhs_FORTRAN.o R_init_DAISIE.o -lgfortran -lm -lquadmath -L/usr/lib64/R/lib -lR
installing to /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/BUILDROOT/usr/local/lib/R/library/00LOCK-DAISIE/00new/DAISIE/libs
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package ‘DAISIE’
    finding HTML links ... done
    Bats_GreaterAntilles                    html  
    Biwa_datalist                           html  
    DAISIE-package                          html  
    DAISIE_CS_max_steps                     html  
    DAISIE_ExpEIN                           html  
    DAISIE_ExpEIN2                          html  
    DAISIE_IC                               html  
    DAISIE_IW_num_threads                   html  
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    DAISIE_ML_IW                            html  
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    DAISIE_ONEcolonist                      html  
    DAISIE_SR_ML                            html  
    DAISIE_SR_loglik_CS                     html  
    DAISIE_SR_sim_core                      html  
    DAISIE_abm_factor                       html  
    DAISIE_convertprobdist                  html  
    DAISIE_count_species                    html  
    DAISIE_create_island                    html  
    DAISIE_dataprep                         html  
    DAISIE_extract_stt_median               html  
    DAISIE_format_CS                        html  
    DAISIE_format_CS_full_stt               html  
    DAISIE_format_CS_sampled_stt            html  
    DAISIE_format_GW                        html  
    DAISIE_format_IW_full_stt               html  
    DAISIE_format_IW_sampled_stt            html  
    DAISIE_loglik_CS                        html  
    DAISIE_loglik_IW                        html  
    DAISIE_loglik_MC                        html  
    DAISIE_loglik_integrand                 html  
    DAISIE_loglik_integrate                 html  
    DAISIE_logp0                            html  
    DAISIE_make_archipelago                 html  
    DAISIE_make_global                      html  
    DAISIE_margprobdist                     html  
    DAISIE_margprobdist2                    html  
    DAISIE_numcol                           html  
    DAISIE_plot_age_diversity               html  
    DAISIE_plot_area                        html  
    DAISIE_plot_cladogenesis                html  
    DAISIE_plot_extinction                  html  
    DAISIE_plot_immigration                 html  
    DAISIE_plot_input                       html  
    DAISIE_plot_island                      html  
    DAISIE_plot_pc_rates                    html  
    DAISIE_plot_sims                        html  
    DAISIE_plot_stt                         html  
    DAISIE_probdist                         html  
    DAISIE_sample_event_cr                  html  
    DAISIE_sample_event_time_dep            html  
    DAISIE_sample_event_trait_dep           html  
    DAISIE_sim                              html  
    DAISIE_sim_MW                           html  
    DAISIE_sim_core_cr                      html  
    DAISIE_sim_core_cr_shift                html  
    DAISIE_sim_core_time_dep                html  
    DAISIE_sim_core_trait_dep               html  
    DAISIE_sim_cr_cs                        html  
    DAISIE_sim_cr_gw                        html  
    DAISIE_sim_cr_iw                        html  
    DAISIE_sim_cr_shift                     html  
    DAISIE_sim_min_type2                    html  
    DAISIE_sim_relaxed_rate                 html  
    DAISIE_sim_time_dep                     html  
    DAISIE_sim_time_dep_cs                  html  
    DAISIE_sim_time_dep_gw                  html  
    DAISIE_sim_time_dep_iw                  html  
    DAISIE_sim_trait_dep                    html  
    DAISIE_sim_trait_dep_2K                 html  
    DAISIE_sim_update_state_cr              html  
    DAISIE_sim_update_state_time_dep        html  
    DAISIE_sim_update_state_trait_dep       html  
    Galapagos_datalist                      html  
    Galapagos_datalist_2types               html  
    Galapagos_datatable                     html  
    Macaronesia_datalist                    html  
    NewZealand_birds_datalist               html  
    add_column_to_dataframe                 html  
    archipelago_data                        html  
    archipelagos41                          html  
    are_rates                               html  
    calc_Abeta                              html  
    calc_next_timeval                       html  
    calc_next_timeval_shift                 html  
    calc_peak                               html  
    countspecies                            html  
    create_CS_version                       html  
    create_area_pars                        html  
    create_full_CS_stt                      html  
    create_hyper_pars                       html  
    create_pars                             html  
    create_trait_pars                       html  
    create_trait_pars_2K                    html  
    cum_rho                                 html  
    daisie_odeint_cs                        html  
    daisie_odeint_iw                        html  
    default_params_doc                      html  
    frogs_datalist                          html  
    frogs_datatable                         html  
    frogs_sim_datalist                      html  
    get_ana_rate                            html  
    get_clado_rate                          html  
    get_ext_rate                            html  
    get_immig_rate                          html  
    get_trans_rate                          html  
    integral_peak                           html  
    island_area                             html  
    island_area_vector                      html  
    islands_10reps_RAW                      html  
    islands_1type_1000reps                  html  
    islands_2types_1000reps                 html  
    remove_empty_elements                   html  
    rho                                     html  
    sample_relaxed_rate                     html  
    stac_table                              html  
    transform_gamma_pars                    html  
    update_max_rates                        html  
    update_rates                            html  
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (DAISIE)
+ test -d DAISIE/src
+ cd DAISIE/src
+ rm -f DAISIE_CS.o DAISIE_IW.o DAISIE_loglik_rhs_FORTRAN.o R_init_DAISIE.o DAISIE.so
+ rm -f /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/BUILDROOT/usr/local/lib/R/library/R.css
+ find /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/BUILDROOT/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/BUILDROOT@@g '{}' ';'
+ /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 4.6.0-1.fc41.copr9109274 --unique-debug-suffix -4.6.0-1.fc41.copr9109274.x86_64 --unique-debug-src-base R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/DAISIE
find-debuginfo: starting
Extracting debug info from 1 files
DWARF-compressing 1 files
sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match.
Creating .debug symlinks for symlinks to ELF files
Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.x86_64
find-debuginfo: done
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2
+ /usr/lib/rpm/redhat/brp-python-hardlink
+ /usr/bin/add-determinism --brp -j2 /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/BUILDROOT
Scanned 29 directories and 315 files,
               processed 257 inodes,
               0 modified (0 replaced + 0 rewritten),
               0 unsupported format, 0 errors
Reading /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/SPECPARTS/rpm-debuginfo.specpart
Processing files: R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.x86_64
Provides: R-CRAN-DAISIE = 4.6.0-1.fc41.copr9109274 R-CRAN-DAISIE(x86-64) = 4.6.0-1.fc41.copr9109274
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgfortran.so.5()(64bit) libgfortran.so.5(GFORTRAN_10)(64bit) libgfortran.so.5(GFORTRAN_8)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.5)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.17)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.22)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH)
Processing files: R-CRAN-DAISIE-debugsource-4.6.0-1.fc41.copr9109274.x86_64
Provides: R-CRAN-DAISIE-debugsource = 4.6.0-1.fc41.copr9109274 R-CRAN-DAISIE-debugsource(x86-64) = 4.6.0-1.fc41.copr9109274
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Processing files: R-CRAN-DAISIE-debuginfo-4.6.0-1.fc41.copr9109274.x86_64
Provides: R-CRAN-DAISIE-debuginfo = 4.6.0-1.fc41.copr9109274 R-CRAN-DAISIE-debuginfo(x86-64) = 4.6.0-1.fc41.copr9109274 debuginfo(build-id) = 0b7c6aa4c301bbbf7aeb5bfba4e25d24c4ee5fda
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Recommends: R-CRAN-DAISIE-debugsource(x86-64) = 4.6.0-1.fc41.copr9109274
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build/BUILDROOT
Wrote: /builddir/build/RPMS/R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-DAISIE-debugsource-4.6.0-1.fc41.copr9109274.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-DAISIE-debuginfo-4.6.0-1.fc41.copr9109274.x86_64.rpm
Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.dvEB0g
+ umask 022
+ cd /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build
+ test -d /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build
+ rm -rf /builddir/build/BUILD/R-CRAN-DAISIE-4.6.0-build
+ RPM_EC=0
++ jobs -p
+ exit 0

RPM build warnings:
    %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from
Finish: rpmbuild R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.src.rpm
Finish: build phase for R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-41-x86_64-1748829777.705636/root/var/log/dnf5.log
INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz
/bin/tar: Removing leading `/' from member names
INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-DAISIE-4.6.0-1.fc41.copr9109274.src.rpm) Config(child) 2 minutes 30 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
Finish: run
Running RPMResults tool
Package info:
{
    "packages": [
        {
            "name": "R-CRAN-DAISIE-debuginfo",
            "epoch": null,
            "version": "4.6.0",
            "release": "1.fc41.copr9109274",
            "arch": "x86_64"
        },
        {
            "name": "R-CRAN-DAISIE-debugsource",
            "epoch": null,
            "version": "4.6.0",
            "release": "1.fc41.copr9109274",
            "arch": "x86_64"
        },
        {
            "name": "R-CRAN-DAISIE",
            "epoch": null,
            "version": "4.6.0",
            "release": "1.fc41.copr9109274",
            "arch": "src"
        },
        {
            "name": "R-CRAN-DAISIE",
            "epoch": null,
            "version": "4.6.0",
            "release": "1.fc41.copr9109274",
            "arch": "x86_64"
        }
    ]
}
RPMResults finished