Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)  0.19.0
Performance library for Deep Learning
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Class Hierarchy

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This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 123]
oCmkldnn::primitive::atA wrapper structure to specify a particular output of a primitive
oCmkldnn::memory::descA memory descriptor
oCmkldnn::batch_normalization_forward::desc
oCmkldnn::batch_normalization_backward::desc
oCmkldnn::deconvolution_backward_data::desc
oCmkldnn::inner_product_forward::desc
oCmkldnn::deconvolution_backward_weights::desc
oCmkldnn::inner_product_backward_data::desc
oCmkldnn::inner_product_backward_weights::desc
oCmkldnn::rnn_cell::desc
oCmkldnn::lrn_forward::desc
oCmkldnn::rnn_forward::desc
oCmkldnn::lrn_backward::desc
oCmkldnn::rnn_backward::desc
oCmkldnn::shuffle_forward::desc
oCmkldnn::convolution_forward::desc
oCmkldnn::shuffle_backward::desc
oCmkldnn::pooling_forward::desc
oCmkldnn::pooling_backward::desc
oCmkldnn::convolution_backward_data::desc
oCmkldnn::eltwise_forward::desc
oCmkldnn::eltwise_backward::desc
oCmkldnn::softmax_forward::desc
oCmkldnn::softmax_backward::desc
oCmkldnn::convolution_backward_weights::desc
oCmkldnn::deconvolution_forward::desc
oCexception
|\Cmkldnn::errorIntel(R) MKL-DNN exception class
oCmkldnn::handle< T, traits >A class for wrapping an Intel(R) MKL-DNN handle. It is used as the base class for primitive (mkldnn_primitive_t), engine (mkldnn_engine_t), and stream (mkldnn_stream_t) handles. An object of the mkldnn::handle class can be passed by value. This class enables wrapping:
oCmkldnn::handle< mkldnn_engine_t >
|\Cmkldnn::engineAn execution engine
oCmkldnn::handle< mkldnn_post_ops_t >
|\Cmkldnn::post_ops
oCmkldnn::handle< mkldnn_primitive_attr_t >
|\Cmkldnn::primitive_attr
oCmkldnn::handle< mkldnn_primitive_desc_iterator >
oCmkldnn::handle< mkldnn_primitive_desc_t >
|oCmkldnn::concat::primitive_desc
|oCmkldnn::memory::primitive_descA memory primitive descriptor
|oCmkldnn::primitive_descA base class for all primitive descriptors
|oCmkldnn::reorder::primitive_desc
|oCmkldnn::sum::primitive_desc
|\Cmkldnn::view::primitive_desc
oCmkldnn::handle< mkldnn_primitive_t >
|\Cmkldnn::primitiveBase class for all computational primitives
oCmkldnn::handle< mkldnn_stream_t >
|\Cmkldnn::stream
oCmkldnn::handle_traits< T >A class that provides the destructor for an Intel(R) MKL-DNN C handle
oCmkldnn_batch_normalization_desc_tA descriptor of a Batch Normalization operation
oCmkldnn_blocking_desc_tGeneric description of blocked data layout for most memory formats
oCmkldnn_convolution_desc_tA descriptor of a convolution operation
oCmkldnn_eltwise_desc_tA descriptor of a element-wise operation
oCmkldnn_engineAn opaque structure to describe an engine
oCmkldnn_inner_product_desc_tA descriptor of an inner product operation
oCmkldnn_lrn_desc_tA descriptor of a Local Response Normalization (LRN) operation
oCmkldnn_memory_desc_tMemory descriptor
oCmkldnn_pooling_desc_tA descriptor of a pooling operation
oCmkldnn_post_opsAn opaque structure for a chain of post operations
oCmkldnn_primitiveAn opaque structure to describe a primitive
oCmkldnn_primitive_at_tA wrapper structure to specify a particular output of a primitive
oCmkldnn_primitive_attrAn opaque structure for primitive descriptor attributes
oCmkldnn_primitive_descAn opaque structure to describe a primitive descriptor
oCmkldnn_primitive_desc_iteratorAn opaque structure to describe a primitive descriptor iterator
oCmkldnn_rnn_cell_desc_t
oCmkldnn_rnn_desc_tA descriptor for an RNN operation
oCmkldnn_rnn_packed_desc_tDescription of tensor of packed weights for rnn
oCmkldnn_shuffle_desc_tA descriptor of a shuffle operation
oCmkldnn_softmax_desc_tA descriptor of a Softmax operation
oCmkldnn_streamAn opaque structure to describe an execution stream
oCmkldnn_version_tIntel(R) MKL-DNN Version type
oCmkldnn_wino_desc_tDescription of tensor of weights for winograd 2x3 convolution
\Cmkldnn::rnn_cell