self check

mindspore/ccsrc/plugin/device/ascend/hal/device/ascend_kernel_runtime.cc

@@ -555,7 +555,7 @@ bool AscendKernelRuntime::LoadTask(const session::KernelGraph &graph) {
 #ifdef ENABLE_DUMP_IR
     mindspore::RDR::TriggerAll();
 #endif
-    MS_LOG(EXCEPTION) << "Distribute Task Failed, error: " << e.what();
+    MS_LOG(EXCEPTION) << "Distribute Task Failed, \nerror msg: " << e.what();
   }
 
 #ifndef ENABLE_SECURITY

mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc

@@ -390,7 +390,7 @@ void AscendDeviceContext::PreprocessBeforeRunGraph(const KernelGraphPtr &graph)
     }
   } catch (const std::exception &e) {
     ReportErrorMessage();
-    MS_LOG(EXCEPTION) << "Preprocess failed before run graph " << graph->graph_id() << ", error msg: " << e.what();
+    MS_LOG(EXCEPTION) << "Preprocess failed before run graph " << graph->graph_id() << ", \nerror msg: " << e.what();
   }
 
   PROF_END(preprocess_before_run_graph);

mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fusion/batchnormgrad_to_bninfergrad.cc

@@ -29,6 +29,7 @@ namespace {
 CNodePtr CreateBNInferGrad(const FuncGraphPtr &graph, const CNodePtr &batchnormgrad, const AnfNodePtr &node) {
   MS_EXCEPTION_IF_NULL(graph);
   MS_EXCEPTION_IF_NULL(batchnormgrad);
+  MS_EXCEPTION_IF_NULL(node);
   auto prim = std::make_shared<Primitive>(kBNInferGradOpName);
   std::vector<AnfNodePtr> inputs = {NewValueNode(prim)};
   constexpr size_t kDBatchMean = 1;

mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fusion/parameter_and_transop_fusion.cc

@@ -44,9 +44,11 @@ const AnfNodePtr ParamTransRoad(const FuncGraphPtr &func_graph, const AnfNodePtr
       if (users.size() > 1 && !first_flag) {
         return nullptr;
       }
+      MS_EXCEPTION_IF_NULL(trans_road);
       trans_road->push_back(cnode);
       first_flag = false;
       auto next_node = AnfAlgo::GetInputNode(cnode, 0);
+      MS_EXCEPTION_IF_NULL(next_node);
       if (next_node->isa<Parameter>() || next_node->isa<ValueNode>()) {
         return next_node;
       }

mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fusion/refresh_parameter_format.cc

@@ -31,6 +31,7 @@ void DoRefresh(const CNodePtr &cnode) {
     if (input_kernel_node->isa<Parameter>()) {
       std::shared_ptr<kernel::KernelBuildInfo::KernelBuildInfoBuilder> builder =
         std::make_shared<kernel::KernelBuildInfo::KernelBuildInfoBuilder>();
+      MS_EXCEPTION_IF_NULL(builder);
       auto cnode_input_format = AnfAlgo::GetInputFormat(cnode, input_index);
       auto kernel_node_format = AnfAlgo::GetOutputFormat(input_kernel_node, 0);
       auto dtype = AnfAlgo::GetOutputDeviceDataType(input_kernel_node, 0);

mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fusion/reshape_transpose_fusion.cc

@@ -48,6 +48,7 @@ const BaseRef ReshapeTransposeFusion::DefinePattern() const {
 const AnfNodePtr ReshapeTransposeFusion::Process(const FuncGraphPtr &func_graph, const AnfNodePtr &node,
                                                  const EquivPtr &equiv) const {
   MS_EXCEPTION_IF_NULL(func_graph);
+  MS_EXCEPTION_IF_NULL(node);
   MS_EXCEPTION_IF_NULL(equiv);
   auto transpose_cnode = CheckAnfNodeIfCNodeAndInputSize(node, kBackendReshapeInputTensorNum);
   MS_EXCEPTION_IF_NULL(transpose_cnode);

mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fusion/transposed_update_fusion.cc

@@ -97,10 +97,12 @@ const AnfNodePtr TransposedUpdateFusion::Process(const FuncGraphPtr &func_graph,
     return nullptr;
   }
 
+  MS_EXCEPTION_IF_NULL(kernel_select_);
   kernel_select_->SelectKernel(transpose);
   auto ori_build_info = AnfAlgo::GetSelectKernelBuildInfo(transpose);
   MS_EXCEPTION_IF_NULL(ori_build_info);
   auto builder = std::make_shared<kernel::KernelBuildInfo::KernelBuildInfoBuilder>(ori_build_info);
+  MS_EXCEPTION_IF_NULL(builder);
   auto input_format = AnfAlgo::GetInputFormat(node, 0);
   auto output_format = AnfAlgo::GetOutputFormat(node, 0);
   builder->SetInputsFormat({input_format, kOpFormat_DEFAULT});