diff --git a/mindspore/ccsrc/pynative/base.h b/mindspore/ccsrc/pynative/base.h
index 37ff000b04..fc143da3c1 100644
--- a/mindspore/ccsrc/pynative/base.h
+++ b/mindspore/ccsrc/pynative/base.h
@@ -31,7 +31,6 @@
 
 namespace mindspore {
 namespace pynative {
-
 namespace py = pybind11;
 
 enum PynativeStatusCode {
@@ -61,7 +60,6 @@ using OpExecInfoPtr = std::shared_ptr<OpExecInfo>;
 OpExecInfoPtr GenerateOpExecInfo(const py::args &args);
 
 const std::set<std::string> ignore_infer_prim = {"partial", "make_ref"};
-
 }  // namespace pynative
 }  // namespace mindspore
 
diff --git a/mindspore/ccsrc/pynative/pynative_execute_ge.cc b/mindspore/ccsrc/pynative/pynative_execute_ge.cc
index 0bf2a391f9..7357bdd710 100644
--- a/mindspore/ccsrc/pynative/pynative_execute_ge.cc
+++ b/mindspore/ccsrc/pynative/pynative_execute_ge.cc
@@ -33,7 +33,6 @@ const char SINGLE_OP_GRAPH[] = "single_op_graph";
 
 namespace mindspore {
 namespace pynative {
-
 using MeTensor = mindspore::tensor::Tensor;
 using MeTensorPtr = mindspore::tensor::TensorPtr;
 using GeOperator = ge::Operator;
@@ -307,5 +306,4 @@ py::object RunOpInGE(const OpExecInfoPtr &op_exec_info, PynativeStatusCode *stat
   return std::move(result);
 }
 }  // namespace pynative
-
 }  // namespace mindspore
diff --git a/mindspore/ccsrc/session/session_basic.cc b/mindspore/ccsrc/session/session_basic.cc
index 0ef0ad97ea..b2daa07d71 100755
--- a/mindspore/ccsrc/session/session_basic.cc
+++ b/mindspore/ccsrc/session/session_basic.cc
@@ -226,8 +226,7 @@ void ConvertValueTupleToTensor(const py::object &input_object, std::vector<tenso
   }
   auto value_tuple = input_value->cast<ValueTuplePtr>();
   MS_EXCEPTION_IF_NULL(value_tuple);
-  tensor::TensorPtr tensor_ptr = nullptr;
-  tensor_ptr = opt::CreateTupleTensor(value_tuple);
+  tensor::TensorPtr tensor_ptr = opt::CreateTupleTensor(value_tuple);
   MS_EXCEPTION_IF_NULL(tensor_ptr);
   input_tensor->push_back(tensor_ptr);
 }
@@ -583,12 +582,9 @@ void SessionBasic::LoadInputData(const std::shared_ptr<KernelGraph> &kernel_grap
   MS_EXCEPTION_IF_NULL(kernel_graph);
   auto input_nodes = kernel_graph->inputs();
   if ((inputs.size() + input_ctrl_size) - 1 != input_nodes.size()) {
-    MS_LOG(EXCEPTION) << "tensor input size:" << inputs.size()
-                      << " is not equal graph inputs size:" << input_nodes.size()
+    MS_LOG(EXCEPTION) << "tensor input:" << inputs.size() << " is not equal graph inputs:" << input_nodes.size()
                       << ", input_ctrl_size:" << input_ctrl_size;
   }
-  auto ms_context = MsContext::GetInstance();
-  MS_EXCEPTION_IF_NULL(ms_context);
   for (size_t i = 0; i < inputs.size(); ++i) {
     auto tensor = inputs[i];
     MS_EXCEPTION_IF_NULL(tensor);
@@ -598,7 +594,8 @@ void SessionBasic::LoadInputData(const std::shared_ptr<KernelGraph> &kernel_grap
       auto pk_node = input_node->cast<ParameterPtr>();
       auto device_address = AnfAlgo::GetMutableOutputAddr(pk_node, 0);
       bool need_sync = false;
-      if (ms_context->enable_pynative_infer()) {
+      MS_EXCEPTION_IF_NULL(MsContext::GetInstance());
+      if (MsContext::GetInstance()->enable_pynative_infer()) {
         if (tensor->device_address().get() == nullptr || tensor->device_address() != device_address) {
           need_sync = true;
         }