TaoLv commented on a change in pull request #13699: add mkldnn softmax_output
URL: https://github.com/apache/incubator-mxnet/pull/13699#discussion_r246771873
 
 

 ##########
 File path: src/operator/softmax_output.cc
 ##########
 @@ -21,30 +21,141 @@
  * Copyright (c) 2015 by Contributors
  * \file softmax_output.cc
  * \brief
- * \author Bing Xu
+ * \author Bing Xu, Zhang Rong A
 */
 #include "./softmax_output-inl.h"
-
+#if MXNET_USE_MKLDNN == 1
+#include "./nn/mkldnn/mkldnn_ops-inl.h"
+#endif
 namespace mxnet {
 namespace op {
-template<>
-Operator *CreateOp<cpu>(SoftmaxOutputParam param, int dtype) {
-  Operator *op = nullptr;
-  MSHADOW_REAL_TYPE_SWITCH(dtype, DType, {
-    op = new SoftmaxOutputOp<cpu, DType>(param);
-  })
-  return op;
+
+DMLC_REGISTER_PARAMETER(SoftmaxOutputParam);
+struct SoftmaxOutputGrad {
+  const char *op_name;
+  std::vector<nnvm::NodeEntry> operator()(const nnvm::NodePtr& n,
+                                          const std::vector<nnvm::NodeEntry>& 
ograds) const {
+  std::vector<nnvm::NodeEntry> out_data(n->num_outputs());
+  for (uint32_t i = 0; i < out_data.size(); ++i) {
+    out_data[i] = nnvm::NodeEntry{n, i, 0};
+  }
+  std::vector<nnvm::NodeEntry> heads;
+  heads.push_back(out_data[softmaxout_enum::kOut]);
+  heads.push_back(n->inputs[softmaxout_enum::kLabel]);
+
+  nnvm::NodePtr gnode = nnvm::Node::Create();
+  gnode->inputs = std::move(heads);
+  gnode->control_deps.emplace_back(n);
+  gnode->attrs = n->attrs;
+  gnode->attrs.op = nnvm::Op::Get("_backward_SoftmaxOutput");
+  gnode->attrs.name = n->attrs.name + "_backward";
+  std::vector<nnvm::NodeEntry> in_grad(2);
+  for (uint32_t i = 0; i < 2; ++i) {
 
 Review comment:
   if there are only two elements, no need to have for-loop.

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