ciyongch commented on a change in pull request #14528: Performance improving 
for MKL-DNN Quantized FullyConnected
URL: https://github.com/apache/incubator-mxnet/pull/14528#discussion_r269379377
 
 

 ##########
 File path: src/operator/quantization/mkldnn/mkldnn_quantized_fully_connected.cc
 ##########
 @@ -52,15 +47,15 @@ void MKLDNNQuantizedFullyConnectedForward(const 
nnvm::NodeAttrs &attrs,
   NDArray weight = in_data[fullc::kWeight];
 
   const float min_data =
-    in_data[num_inputs + quantized_fc_enum::kDataMin].data().dptr<float>()[0];
+    in_data[num_inputs + quantized_fullc::kDataMin].data().dptr<float>()[0];
 
 Review comment:
   Original inputs might not include bias, which results in different index for 
all these min/max. Just to simplify the ordering for quantized op only.

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