Method CopyAttrsQuantizedConv2D

tensorflow/core/graph/mkl_layout_pass.cc:2803–2844

}

void MklLayoutRewritePass::CopyAttrsQuantizedConv2D(const Node* orig_node,
                                                    NodeBuilder* nb,
                                                    bool change_format) {
  DataType Tinput, Tfilter, out_type;
  string padding;
  string data_format("NHWC");
  std::vector<int32> strides, dilations, padding_list;
  bool has_padding_list = HasNodeAttr(orig_node->def(), "padding_list");

  // Get all attributes from old node.
  TF_CHECK_OK(GetNodeAttr(orig_node->def(), "Tinput", &Tinput));
  TF_CHECK_OK(GetNodeAttr(orig_node->def(), "Tfilter", &Tfilter));
  TF_CHECK_OK(GetNodeAttr(orig_node->def(), "out_type", &out_type));
  TF_CHECK_OK(GetNodeAttr(orig_node->def(), "padding", &padding));
  TF_CHECK_OK(GetNodeAttr(orig_node->def(), "strides", &strides));
  TF_CHECK_OK(GetNodeAttr(orig_node->def(), "dilations", &dilations));
  if (has_padding_list) {
    TF_CHECK_OK(GetNodeAttr(orig_node->def(), "padding_list", &padding_list));
  }

  Node* filter_node = nullptr;
  TF_CHECK_OK(orig_node->input_node(1, &filter_node));

  // Add attributes to new node.
  nb->Attr("Tinput", Tinput);
  nb->Attr("Tfilter", Tfilter);
  nb->Attr("out_type", out_type);
  nb->Attr("padding", padding);
  nb->Attr("is_filter_const", filter_node->IsConstant());
  nb->Attr("strides", strides);
  nb->Attr("dilations", dilations);
  nb->Attr("T", out_type);  // added "T" for facilitating MklToTf conversion.
  nb->Attr("data_format", data_format);
  if (has_padding_list) {
    nb->Attr("padding_list", padding_list);
  }

  // Requantization attr Tbias.
  DataType Tbias;
  Status bias_status = GetNodeAttr(orig_node->def(), "Tbias", &Tbias);
  if (bias_status.ToString() == "OK") nb->Attr("Tbias", Tbias);
}

void MklLayoutRewritePass::CopyAttrsQuantizedMatMulWithBiasAndDequantize(
    const Node* orig_node, NodeBuilder* nb, bool change_format) {