class DNN::Layers::AvgPool2D

Public Instance Methods

backward_node(dy) click to toggle source
# File lib/dnn/core/layers/cnn_layers.rb, line 409
def backward_node(dy)
  row_length = @pool_size.reduce(:*)
  dy /= row_length
  davg = Xumo::SFloat.zeros(dy.size, row_length)
  row_length.times do |i|
    davg[true, i] = dy.flatten
  end
  dcol = davg.reshape(dy.shape[0..2].reduce(:*), dy.shape[3] * @pool_size.reduce(:*))
  dx = col2im(dcol, @x_shape, *@out_size, *@pool_size, @strides)
  @padding ? zero_padding_bwd(dx, @pad_size) : dx
end
forward_node(x) click to toggle source
# File lib/dnn/core/layers/cnn_layers.rb, line 401
def forward_node(x)
  x = zero_padding(x, @pad_size) if @padding
  @x_shape = x.shape
  col = im2col(x, *@out_size, *@pool_size, @strides)
  col = col.reshape(x.shape[0] * @out_size.reduce(:*), @pool_size.reduce(:*), x.shape[3])
  col.mean(1).reshape(x.shape[0], *@out_size, x.shape[3])
end