message: review comments 3
diff: @@ -1415,8 +1415,6 @@ class MklQuantizedConv2DOp
  AllocateOutputSetMklShape(context, 2, &output_max, {},
  output_max_mkl_shape);
  // This is the case the convolution and requantization are fused.
  - // min_freezed_output and max_freezed_output are the actual range
  - // for the output
  output_min->flat<float>()(0) =
  context->input(6 + bias_index_offset).flat<float>()(0);
  output_max->flat<float>()(0) =
  @@ -1468,6 +1466,9 @@ class MklQuantizedConv2DOp
  context->input(3 + bias_index_offset).flat<float>()(0);
  const Tensor& min_filter_vector = context->input(4 + bias_index_offset);
  const Tensor& max_filter_vector = context->input(5 + bias_index_offset);
  +
  + // min_freezed_output and max_freezed_output are the actual range
  + // for the output.
  const float min_freezed_output =
  context->input(6 + bias_index_offset).flat<float>()(0);
  const float max_freezed_output =
  