convert_conv_weights_to_channel_last_tensor Class — pytorch Architecture

Source Code

aten/src/ATen/native/quantized/cpu/XnnpackUtils.cpp lines 62–82

template <>
Tensor convert_conv_weights_to_channel_last_tensor<2>(
    const at::Tensor& src,
    int groups,
    bool transpose) {
  return transpose ?
                   // 2D conv transpose weight transform
                   // IC OC/G KH KW -> G OC/G KH KW IC/G
      [&]() {
        auto ic_g_oc_g_hw_tensors = src.chunk(groups);
        for (auto& tensor : ic_g_oc_g_hw_tensors) {
          tensor = tensor.unsqueeze(0);
        }
        auto fused_tensor = at::cat(ic_g_oc_g_hw_tensors);
        set_quantizer_(fused_tensor, src.quantizer());
        return fused_tensor.permute({0, 2, 3, 4, 1})
            .contiguous(c10::MemoryFormat::Contiguous);
      }()
                   // 2d conv weight transform
                   : src.contiguous(c10::MemoryFormat::ChannelsLast);
}