class DNN::Layers::AvgPool2D
Public Instance Methods
backward_node(dy)
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# 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)
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# 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