for second order's subgraph's fix

mindspore/ccsrc/pipeline/init.cc

@@ -95,7 +95,7 @@ PYBIND11_MODULE(_c_expression, m) {
   (void)m.def("verify_inputs_signature", &mindspore::pipeline::VerifyInputSignature, "Verify input signature.");
   (void)m.def("init_exec_dataset", &mindspore::pipeline::InitExecDataset, py::arg("queue_name"), py::arg("size"),
               py::arg("batch_size"), py::arg("types"), py::arg("shapes"), py::arg("input_indexs"),
-              py::arg("phase") = py::str("dataset"), py::arg("use_run") = py::bool_(true), "Init and exec dataset.");
+              py::arg("phase") = py::str("dataset"), py::arg("need_run") = py::bool_(true), "Init and exec dataset.");
   (void)m.def("_set_dataset_mode_config", &mindspore::ConfigManager::SetDatasetModeConfig, "API for set dataset mode.");
   (void)m.def("init_backend", &mindspore::pipeline::InitBackend, "Init Backend.");
 

mindspore/ccsrc/pipeline/pipeline.cc

@@ -688,7 +688,7 @@ void ExecutorPy::RunInitGraph(const py::dict &init_params, const std::string &ph
 
 bool InitExecDataset(const std::string &queue_name, int64_t iter_num, int64_t batch_size,
                      const std::vector<TypePtr> &types, const std::vector<std::vector<int64_t>> &shapes,
-                     const std::vector<int64_t> &input_indexes, const std::string &phase, bool use_run) {
+                     const std::vector<int64_t> &input_indexes, const std::string &phase, bool need_run) {
   std::string name = MsContext::GetInstance()->backend_policy();
 #ifndef NO_DLIB
   auto ms_context = MsContext::GetInstance();
@@ -698,7 +698,7 @@ bool InitExecDataset(const std::string &queue_name, int64_t iter_num, int64_t ba
   }
 #endif
   if (name == kMsConvert || name == kMsVm) {
-    return InitExecDatasetVm(queue_name, iter_num, batch_size, types, shapes, input_indexes, use_run);
+    return InitExecDatasetVm(queue_name, iter_num, batch_size, types, shapes, input_indexes, need_run);
   }
 #if ENABLE_GE
   return InitExecDatasetGe(queue_name, iter_num, batch_size, types, shapes, input_indexes, phase);
@@ -713,7 +713,7 @@ bool InitExecDataset(const std::string &queue_name, int64_t iter_num, int64_t ba
 
 bool InitExecDatasetVm(const std::string &queue_name, int64_t size, int64_t batch_size,
                        const std::vector<TypePtr> &types, const std::vector<std::vector<int64_t>> &shapes,
-                       const std::vector<int64_t> &input_indexes, bool use_run) {
+                       const std::vector<int64_t> &input_indexes, bool need_run) {
   MS_LOG(INFO) << "Start InitDataSet Entry";
   std::vector<int> int_input_indexes;
   (void)std::transform(input_indexes.begin(), input_indexes.end(), std::back_inserter(int_input_indexes),
@@ -766,9 +766,9 @@ bool InitExecDatasetVm(const std::string &queue_name, int64_t size, int64_t batc
   // launch init dataset runner without inputs and outputs
   VectorRef args;
   auto fn = runner.run;
-  if (use_run){
+  if (need_run) {
     (void)(*fn)(args);
-   }
+  }
   MS_LOG(DEBUG) << "InitDataSetVm End.";
   return true;
 }

mindspore/ccsrc/pipeline/pipeline.h

@@ -127,12 +127,12 @@ void ExportGraph(const std::string &file_name, const std::string &, const std::s
 // init and exec dataset sub graph
 bool InitExecDataset(const std::string &queue_name, int64_t iter_num, int64_t batch_size,
                      const std::vector<TypePtr> &types, const std::vector<std::vector<int64_t>> &shapes,
-                     const std::vector<int64_t> &input_indexes, const std::string &phase, bool use_run);
+                     const std::vector<int64_t> &input_indexes, const std::string &phase, bool need_run);
 
 // Build and run dataset subgraph for ms backend
 bool InitExecDatasetVm(const std::string &queue_name, int64_t size, int64_t batch_size,
                        const std::vector<TypePtr> &types, const std::vector<std::vector<int64_t>> &shapes,
-                       const std::vector<int64_t> &input_indexes, bool use_run);
+                       const std::vector<int64_t> &input_indexes, bool need_run);
 
 }  // namespace pipeline
 }  // namespace mindspore