[GitHub] [incubator-mxnet] rongzha1 commented on a change in pull request #16623: [mkldnn-v1.0]rm int8 sum workaround

[GitBox <gi...@apache.org>]

rongzha1 commented on a change in pull request #16623: [mkldnn-v1.0]rm int8 sum workaround
URL: https://github.com/apache/incubator-mxnet/pull/16623#discussion_r339382116
 
 

 ##########
 File path: src/operator/quantization/mkldnn/mkldnn_quantized_elemwise_add.cc
 ##########
 @@ -161,8 +161,14 @@ static void MKLDNNQuantizedElemwiseAddForward(const nnvm::NodeAttrs& attrs, cons
   std::vector<mkldnn::memory::desc> in_desc;
   in_desc.push_back(dataA_mem->get_desc());
   in_desc.push_back(dataB_mem->get_desc());
-  auto output_desc = dataA_mem->get_desc();
-  output_desc.data.data_type = static_cast<mkldnn_data_type_t>(output_data_type);
+  size_t i_ndim = in_data[quantized_elemwise_add_enum::kDataA].shape().ndim();
+  mkldnn::memory::dims i_dims = mkldnn::memory::dims(i_ndim);
+  for (size_t i = 0; i < i_ndim; i++) {
+    i_dims[i] = static_cast<int>(in_data[quantized_elemwise_add_enum::kDataA].shape()[i]);
 
 Review comment:
   Thanks for your comments. Will change it Now

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