modify reduceminD and reducemaxD IR

.gitmodules

@@ -12,4 +12,4 @@
 	url = https://github.com/protocolbuffers/protobuf.git
 [submodule "graphengine"]
 	path = graphengine
-	url = https://gitee.com/mindspore/graphengine.git
+	url = https://gitee.com/ms-incubator/graphengine.git

graphengine

@@ -1 +1 @@
-Subproject commit 5f763679fa33de1608d07f7651c6f16012b953ea
+Subproject commit 092c7a1f6548cac7d40e677af3498c3c49ea2bfd

mindspore/ccsrc/transform/convert.cc

@@ -189,7 +189,7 @@ std::unordered_map<std::string, OpAdapterDescPtr> &DfGraphConvertor::get_adpt_ma
     {string(kNameApplyMomentum), ADPT_DESC(ApplyMomentum)},
     {string(kNameMaxPool), ADPT_DESC(MaxPool)},
     {string(kNameAvgPool), ADPT_DESC(AvgPool)},
-    {string(kNameTopK), ADPT_DESC(TopKV2)},
+    {string(kNameTopK), ADPT_DESC(TopK)},
     {string(kNamePack), ADPT_DESC(Pack)},
     {string(kNameSplitD), ADPT_DESC(SplitD)},
     {string(kNameAllReduce), ADPT_DESC(HcomAllReduce)},
@@ -310,7 +310,7 @@ std::unordered_map<std::string, OpAdapterDescPtr> &DfGraphConvertor::get_adpt_ma
     {prim::kPrimMinimum->name(), ADPT_DESC(Minimum)},
     {prim::kPrimSelect->name(), ADPT_DESC(Select)},
     {string(kNameLessEqual), ADPT_DESC(LessEqual)},
-    {prim::kPrimLogSoftmax->name(), ADPT_DESC(LogSoftmax)},
+    {prim::kPrimLogSoftmax->name(), ADPT_DESC(LogSoftmaxV2)},
     {string(kNameTruncatedNormal), ADPT_DESC(TruncatedNormal)},
     {string(kNameStridedSliceGrad), ADPT_DESC(StridedSliceGrad)},
     {prim::kPrimGelu->name(), ADPT_DESC(Gelu)},
@@ -343,7 +343,7 @@ std::unordered_map<std::string, OpAdapterDescPtr> &DfGraphConvertor::get_adpt_ma
     {prim::kPrimMatMul->name(), ADPT_DESC(MatMul)},
 
     {string(kNameConst), ADPT_DESC(Constant, Const)},
-    {string(kNameSoftmax), ADPT_DESC(Softmax)},
+    {string(kNameSoftmax), ADPT_DESC(SoftmaxV2)},
     {string(kNameSoftmaxGrad), ADPT_DESC(SoftmaxGrad)},
     {string(kNameParam), ADPT_DESC(Data)},
     {string(kNameROIAlign), ADPT_DESC(ROIAlign)},
@@ -1017,8 +1017,8 @@ DfGraphConvertor &DfGraphConvertor::BuildGraph() {
     }
   }
 
-  // set up dependices
-  MS_LOG(DEBUG) << "set up dependices";
+  // set up dependencies
+  MS_LOG(DEBUG) << "set up dependencies";
   std::vector<AnfNodePtr> nodes = ::mindspore::TopoSort(anf_graph_->get_return());
   for (auto &it : nodes) {
     SetNodeInput(it);
@@ -1115,8 +1115,8 @@ void DfGraphConvertor::UpdateDataOpDesc(const AnfNodePtr &it, const OperatorPtr
   if (desc == nullptr) {
     MS_LOG(ERROR) << "Update data op descriptor failed! TensorDesc is null.";
   } else {
-    (void)std::static_pointer_cast<Data>(op)->update_input_desc_data(*desc);
-    (void)std::static_pointer_cast<Data>(op)->update_output_desc_out(*desc);
+    (void)std::static_pointer_cast<Data>(op)->update_input_desc_x(*desc);
+    (void)std::static_pointer_cast<Data>(op)->update_output_desc_y(*desc);
   }
 }
 

mindspore/ccsrc/transform/op_declare.h

@@ -209,8 +209,8 @@ DECLARE_OP_USE_OUTPUT(Merge)
 DECLARE_OP_ADAPTER(Switch)
 DECLARE_OP_USE_OUTPUT(Switch)
 
-DECLARE_OP_ADAPTER(TopKV2)
-DECLARE_OP_USE_OUTPUT(TopKV2)
+DECLARE_OP_ADAPTER(TopK)
+DECLARE_OP_USE_OUTPUT(TopK)
 
 DECLARE_OP_ADAPTER(RealDiv)
 DECLARE_OP_USE_OUTPUT(RealDiv)
@@ -260,8 +260,8 @@ DECLARE_OP_ADAPTER(Select)
 DECLARE_OP_USE_OUTPUT(Select)
 DECLARE_OP_ADAPTER(LessEqual)
 DECLARE_OP_USE_OUTPUT(LessEqual)
-DECLARE_OP_ADAPTER(LogSoftmax)
-DECLARE_OP_USE_OUTPUT(LogSoftmax)
+DECLARE_OP_ADAPTER(LogSoftmaxV2)
+DECLARE_OP_USE_OUTPUT(LogSoftmaxV2)
 DECLARE_OP_ADAPTER(TruncatedNormal)
 DECLARE_OP_USE_OUTPUT(TruncatedNormal)
 DECLARE_OP_ADAPTER(StridedSliceGrad)
@@ -391,8 +391,8 @@ DECLARE_OP_ADAPTER(Sigmoid)
 DECLARE_OP_USE_OUTPUT(Sigmoid)
 DECLARE_OP_ADAPTER(SigmoidGrad)
 DECLARE_OP_USE_OUTPUT(SigmoidGrad)
-DECLARE_OP_ADAPTER(Softmax)
-DECLARE_OP_USE_OUTPUT(Softmax)
+DECLARE_OP_ADAPTER(SoftmaxV2)
+DECLARE_OP_USE_OUTPUT(SoftmaxV2)
 DECLARE_OP_ADAPTER(SoftmaxGrad)
 DECLARE_OP_USE_OUTPUT(SoftmaxGrad)
 DECLARE_OP_ADAPTER(Greater)