modify geloge and add err report

ge/hybrid/executor/rt_callback_manager.cc

@@ -27,7 +27,8 @@ Status CallbackManager::RegisterCallback(rtStream_t stream, rtCallback_t callbac
   GE_CHK_RT_RET(rtEventCreate(&event));
   auto rt_ret = rtEventRecord(event, stream);
   if (rt_ret != RT_ERROR_NONE) {
-    GELOGE(RT_FAILED, "Failed to invoke rtEventRecord, error code = %d", rt_ret);
+    GELOGE(RT_FAILED, "[Invoke][rtEventRecord] failed, error code = %d", rt_ret);
+    REPORT_CALL_ERROR("E19999", "Invoke rtEventRecord failed when %s, error code = %d", __FUNCTION__, rt_ret);
     (void) rtEventDestroy(event);
     return RT_FAILED;
   }
@@ -50,7 +51,8 @@ Status CallbackManager::Init() {
     return CallbackProcess(context);
   }, ctx);
   if (!ret_future_.valid()) {
-    GELOGE(INTERNAL_ERROR, "Failed to init callback manager.");
+    GELOGE(INTERNAL_ERROR, "[Check][ShareState]Failed to init callback manager.");
+    REPORT_INNER_ERROR("E19999", "Failed to init callback manager.");
     return INTERNAL_ERROR;
   }
 
@@ -73,7 +75,9 @@ Status CallbackManager::CallbackProcess(rtContext_t context) {
 
     auto rt_err = rtEventSynchronize(event);
     if (rt_err != RT_ERROR_NONE) {
-      GELOGE(RT_FAILED, "rtEventSynchronize failed. ret = %d", rt_err);
+      GELOGE(RT_FAILED, "[Invoke][rtEventSynchronize] failed. ret = %d", rt_err);
+      REPORT_CALL_ERROR("E19999", 
+          "Invoke rtEventSynchronize failed when CallbackManager %s, ret = %d.", __FUNCTION__, rt_err);
       GE_CHK_RT(rtEventDestroy(event));
       return RT_FAILED;
     }

ge/hybrid/executor/subgraph_context.cc

@@ -50,9 +50,11 @@ NodeStatePtr SubgraphContext::GetOrCreateNodeState(const NodeItem *node_item) {
 Status SubgraphContext::SetInput(int index, const TensorValue &tensor) {
   if (static_cast<size_t>(index) >= all_inputs_.size()) {
     GELOGE(INTERNAL_ERROR,
-           "output index output range. all input num = %zu, input index = %d",
-           all_inputs_.size(),
-           index);
+        "[Check][Param:index]output index output range. all input num = %zu, input index = %d",
+        all_inputs_.size(), index);
+    REPORT_INNER_ERROR("E19999", 
+        "input param index out range when SubgraphContext %s, all input num = %zu, input index = %d.",
+        __FUNCTION__, all_inputs_.size(), index);
     return INTERNAL_ERROR;
   }
   all_inputs_[index] = tensor;
@@ -68,10 +70,11 @@ Status SubgraphContext::SetOutput(const NodeItem &node_item, int output_index, c
   auto index = node_item.output_start + output_index;
   if ((output_index >= node_item.num_outputs) || (static_cast<size_t>(index) >= all_outputs_.size())) {
     GELOGE(INTERNAL_ERROR,
-           "output index output range. all output num = %zu, node_item = %s, output index = %d",
-           all_outputs_.size(),
-           node_item.DebugString().c_str(),
-           output_index);
+        "[Check][Param:output_index]output index output range. all output num = %zu, node_item = %s,"
+        "output index = %d.", all_outputs_.size(), node_item.DebugString().c_str(), output_index);
+    REPORT_INNER_ERROR("E19999", "output index output range when SubgraphContext %s. "
+        "all output num = %zu, node_item = %s, output index = %d.",
+        __FUNCTION__, all_outputs_.size(), node_item.DebugString().c_str(), output_index);
     return INTERNAL_ERROR;
   }
 
@@ -126,7 +129,9 @@ Status SubgraphContext::Await(const NodePtr &node) {
 
 void SubgraphContext::OnError(Status error) {
   if (error != END_OF_SEQUENCE) {
-    GELOGE(error, "[%s] Error occurred while executing graph.", graph_item_->GetName().c_str());
+    GELOGE(error, "[Check][Param:error][%s] Error occurred while executing graph.", graph_item_->GetName().c_str());
+    REPORT_INNER_ERROR("E19999", "[%s] Error occurred while executing graph when SubgraphContext %s.",
+        graph_item_->GetName().c_str(), __FUNCTION__);
   }
   node_done_manager_.Destroy();
 }

ge/hybrid/executor/subgraph_executor.cc

@@ -44,7 +44,8 @@ Status SubgraphExecutor::Init(const std::vector<TensorValue> &inputs,
                               const std::vector<ConstGeTensorDescPtr> &input_desc) {
   subgraph_context_.reset(new(std::nothrow)SubgraphContext(graph_item_, context_));
   GE_CHECK_NOTNULL(subgraph_context_);
-  GE_CHK_STATUS_RET(subgraph_context_->Init(), "[%s] Failed to init subgraph context.", graph_item_->GetName().c_str());
+  GE_CHK_STATUS_RET(subgraph_context_->Init(), 
+      "[Init][SubgraphContext][%s] Failed to init subgraph context.", graph_item_->GetName().c_str());
 
   shape_inference_engine_.reset(new(std::nothrow) ShapeInferenceEngine(context_, subgraph_context_.get()));
   GE_CHECK_NOTNULL(shape_inference_engine_);
@@ -55,8 +56,8 @@ Status SubgraphExecutor::Init(const std::vector<TensorValue> &inputs,
                       graph_item_->GetName().c_str());
   } else {
     GE_CHK_STATUS_RET(InitInputsForKnownShape(inputs),
-                      "[%s] Failed to init subgraph executor for known shape subgraph.",
-                      graph_item_->GetName().c_str());
+        "[Invoke][InitInputsForKnownShape][%s] Failed to init subgraph executor for known shape subgraph.",
+        graph_item_->GetName().c_str());
   }
 
   return SUCCESS;
@@ -67,8 +68,12 @@ Status SubgraphExecutor::InitInputsForUnknownShape(const std::vector<TensorValue
   // Number of inputs of parent node should be greater or equal than that of subgraph
   auto input_nodes = graph_item_->GetInputNodes();
   if (inputs.size() < input_nodes.size()) {
-    GELOGE(INTERNAL_ERROR, "[%s] Number of inputs [%zu] is not sufficient for subgraph which needs [%zu] inputs.",
-           graph_item_->GetName().c_str(), inputs.size(), input_nodes.size());
+    GELOGE(INTERNAL_ERROR, 
+        "[Check][Size][%s] Number of inputs [%zu] is not sufficient for subgraph which needs [%zu] inputs.",
+        graph_item_->GetName().c_str(), inputs.size(), input_nodes.size());
+    REPORT_INNER_ERROR("E19999", 
+        "Number of inputs [%zu] is not sufficient for subgraph which needs [%zu] inputs when SubgraphExecutor %s.",
+        graph_item_->GetName().c_str(), inputs.size(), input_nodes.size(), __FUNCTION__);
     return INTERNAL_ERROR;
   }
 
@@ -87,9 +92,7 @@ Status SubgraphExecutor::InitInputsForUnknownShape(const std::vector<TensorValue
            input_tensor.DebugString().c_str());
 
     GE_CHK_STATUS_RET(subgraph_context_->SetInput(*input_node, kDataInputIndex, input_tensor),
-                      "[%s] Failed to set input tensor[%zu]",
-                      graph_item_->GetName().c_str(),
-                      i);
+        "[Invoke][SetInput] failed for grap_item[%s] input tensor[%zu]", graph_item_->GetName().c_str(), i);
 
     if (force_infer_shape_ || input_node->is_dynamic) {
       GELOGD("[%s] Start to update input[%zu] for subgraph data node.", graph_item_->GetName().c_str(), i);
@@ -112,11 +115,11 @@ Status SubgraphExecutor::InitInputsForKnownShape(const std::vector<TensorValue>
     auto &parent_input_index = input_index_mapping[i];
     if (static_cast<size_t>(parent_input_index) >= inputs.size()) {
       GELOGE(INTERNAL_ERROR,
-             "[%s] Number of inputs [%zu] is not sufficient for subgraph which needs at lease [%d] inputs",
-             graph_item_->GetName().c_str(),
-             inputs.size(),
-             parent_input_index + 1);
-
+          "[Check][Size][%s] Number of inputs [%zu] is not sufficient for subgraph which needs at lease [%d] inputs",
+          graph_item_->GetName().c_str(), inputs.size(), parent_input_index + 1);
+      REPORT_INNER_ERROR("E19999", 
+          "[%s] Number of inputs [%zu] is not sufficient for subgraph which needs at lease [%d] inputs when %s.",
+          graph_item_->GetName().c_str(), inputs.size(), parent_input_index + 1, __FUNCTION__);
       return INTERNAL_ERROR;
     }
 
@@ -136,10 +139,10 @@ Status SubgraphExecutor::ExecuteAsync(const std::vector<TensorValue> &inputs,
                                       const std::vector<ConstGeTensorDescPtr> &input_desc,
                                       const std::vector<TensorValue> &outputs) {
   GELOGD("[%s] is dynamic = %s", graph_item_->GetName().c_str(), graph_item_->IsDynamic() ? "true" : "false");
-  GE_CHK_STATUS_RET(Init(inputs, input_desc), "[%s] Failed to init executor.", graph_item_->GetName().c_str());
+  GE_CHK_STATUS_RET(Init(inputs, input_desc), "[Invoke][Init]failed for [%s].", graph_item_->GetName().c_str());
   if (!outputs.empty()) {
     GE_CHK_STATUS_RET(EnableOutputZeroCopy(outputs),
-                      "Failed to enable output zero copy by user provided outputs.");
+        "[Invoke][EnableOutputZeroCopy] Failed by user provided outputs.");
   }
   if (!graph_item_->IsDynamic()) {
     return ExecuteAsyncForKnownShape(inputs);
@@ -194,12 +197,11 @@ Status SubgraphExecutor::ExecuteAsync(TaskContext &task_context) {
   }
 
   GE_CHK_STATUS_RET(ExecuteAsync(inputs, input_desc),
-                    "[%s] Failed to execute subgraph.",
-                    graph_item_->GetName().c_str());
+      "[Invoke][ExecuteAsync] failed for [%s].", graph_item_->GetName().c_str());
 
   GE_CHK_STATUS_RET(SetOutputsToParentNode(task_context),
-                    "[%s] Failed to set output shapes to parent node.",
-                    graph_item_->GetName().c_str());
+      "[Invoke][SetOutputsToParentNode][%s] Failed to set output shapes to parent node.",
+      graph_item_->GetName().c_str());
   return SUCCESS;
 }
 
@@ -239,7 +241,7 @@ Status SubgraphExecutor::PrepareNodes(int group) {
         if (node_item.kernel_task == nullptr) {
           GELOGW("[%s] Node of static shape got no task.", node_item.NodeName().c_str());
           GE_CHK_STATUS_RET(TaskCompileEngine::Compile(*p_node_state, context_),
-                            "[%s] Failed to create task.", p_node_state->GetName().c_str());
+              "[Invoke][Compile] failed for [%s].", p_node_state->GetName().c_str());
         } else {
           node_state->SetKernelTask(node_item.kernel_task);
         }
@@ -248,7 +250,9 @@ Status SubgraphExecutor::PrepareNodes(int group) {
         GE_CHECK_NOTNULL(unique_task_context);
         const auto &task = node_state->GetKernelTask();
         if (task == nullptr) {
-          GELOGE(INTERNAL_ERROR, "[%s] NodeTask is null.", node_state->GetName().c_str());
+          GELOGE(INTERNAL_ERROR, "[Get][KernelTask] failed for[%s], NodeTask is null.", node_state->GetName().c_str());
+          REPORT_CALL_ERROR("E19999", "invoke GetKernelTask failed for %s when %s, nodetask is null.",
+              node_state->GetName().c_str(), __FUNCTION__);
           return INTERNAL_ERROR;
         }
         auto shared_task_context = std::shared_ptr<TaskContext>(unique_task_context.release());
@@ -261,8 +265,10 @@ Status SubgraphExecutor::PrepareNodes(int group) {
         GELOGD("Got end of sequence");
         return SUCCESS;
       }
-      GELOGE(INTERNAL_ERROR, "[%s] Error occurs while launching tasks. quit from preparing nodes.",
-             graph_item_->GetName().c_str());
+      GELOGE(INTERNAL_ERROR, "[Check][State][%s] Error occurs while launching tasks. quit from preparing nodes.",
+          graph_item_->GetName().c_str());
+      REPORT_INNER_ERROR("E19999", "[%s] Error occurs while launching tasks. quit from preparing nodes when %s.",
+          graph_item_->GetName().c_str(), __FUNCTION__);
       return INTERNAL_ERROR;
     }
 
@@ -275,9 +281,9 @@ Status SubgraphExecutor::PrepareNodes(int group) {
 
 Status SubgraphExecutor::InferShape(ShapeInferenceEngine *shape_inference_engine, NodeState &node_state) const {
   HYBRID_CHK_STATUS_RET(shape_inference_engine->InferShape(node_state),
-                        "[%s] Failed to InferShape.", node_state.GetName().c_str());
+      "[Invoke][InferShape] failed for [%s].", node_state.GetName().c_str());
   HYBRID_CHK_STATUS_RET(shape_inference_engine->PropagateOutputShapes(node_state),
-                        "[%s] Failed to PropagateOutputShapes.", node_state.GetName().c_str());
+      "[Invoke][PropagateOutputShapes] failed for [%s].", node_state.GetName().c_str());
   return SUCCESS;
 }
 
@@ -285,7 +291,7 @@ Status SubgraphExecutor::PrepareForExecution(GraphExecutionContext *ctx, NodeSta
   auto &node_item = *node_state.GetNodeItem();
   if (node_item.kernel_task == nullptr) {
     GE_CHK_STATUS_RET(TaskCompileEngine::Compile(node_state, ctx),
-                      "Failed to create task for node[%s]", node_state.GetName().c_str());
+        "[Invoke][Compile] Failed for node[%s]", node_state.GetName().c_str());
   } else {
     node_state.SetKernelTask(node_item.kernel_task);
   }
@@ -293,7 +299,9 @@ Status SubgraphExecutor::PrepareForExecution(GraphExecutionContext *ctx, NodeSta
   GE_CHECK_NOTNULL(unique_task_context);
   const auto &task = node_state.GetKernelTask();
   if (task == nullptr) {
-    GELOGE(INTERNAL_ERROR, "[%s] NodeTask is null.", node_state.GetName().c_str());
+    GELOGE(INTERNAL_ERROR, "[Invoke][GetKernelTask] failed for[%s], NodeTask is null.", node_state.GetName().c_str());
+    REPORT_CALL_ERROR("E19999", "invoke GetKernelTask failed for %s, NodeTask is null when %s.",
+        node_state.GetName().c_str(), __FUNCTION__);
     return INTERNAL_ERROR;
   }
   auto shared_task_context = std::shared_ptr<TaskContext>(unique_task_context.release());
@@ -309,7 +317,8 @@ Status SubgraphExecutor::LaunchTasks() {
   while (true) {
     NodeState *node_state = nullptr;
     if (!ready_queue_.Pop(node_state)) {
-      GELOGE(INTERNAL_ERROR, "[%s] Failed to pop node.", graph_item_->GetName().c_str());
+      GELOGE(INTERNAL_ERROR, "[Invoke][Pop] failed for [%s].", graph_item_->GetName().c_str());
+      REPORT_CALL_ERROR("E19999", "invoke pop failed for %s when %s", graph_item_->GetName().c_str(), __FUNCTION__);
       return INTERNAL_ERROR;
     }
 
@@ -334,8 +343,7 @@ Status SubgraphExecutor::LaunchTasks() {
     GE_CHECK_NOTNULL(shared_task_context);
     shared_task_context->SetForceInferShape(force_infer_shape_);
     HYBRID_CHK_STATUS_RET(ExecutionEngine::ExecuteAsync(*node_state, shared_task_context, *context_),
-                          "[%s] Execute node failed.",
-                          node_state->GetName().c_str());
+        "[Invoke][ExecuteAsync] failed for [%s].", node_state->GetName().c_str());
     GELOGD("[%s] Done executing node successfully.", node_state->GetName().c_str());
   }
 }
@@ -361,8 +369,7 @@ Status SubgraphExecutor::ScheduleTasks(int group) {
   }
 
   GE_CHK_STATUS_RET(prepare_future.get(),
-                    "[%s] Error occurred in task preparation.",
-                    graph_item_->GetName().c_str());
+      "[Invoke][get] [%s] Error occurred in task preparation.", graph_item_->GetName().c_str());
 
   GELOGD("[%s] Done launching all tasks successfully.", graph_item_->GetName().c_str());
   return SUCCESS;
@@ -373,17 +380,17 @@ Status SubgraphExecutor::GetOutputs(vector<TensorValue> &outputs) {
 }
 
 Status SubgraphExecutor::GetOutputs(vector<TensorValue> &outputs, std::vector<ConstGeTensorDescPtr> &output_desc) {
-  GE_CHK_STATUS_RET(GetOutputs(outputs), "[%s] Failed to get output tensors.", graph_item_->GetName().c_str());
+  GE_CHK_STATUS_RET(GetOutputs(outputs), "[Invoke][GetOutputs] failed for [%s].", graph_item_->GetName().c_str());
 
   // copy output data from op to designated position
   GE_CHK_STATUS_RET(graph_item_->GetOutputDescList(output_desc),
-                    "[%s] Failed to get output tensor desc.",
-                    graph_item_->GetName().c_str());
+      "[Invoke][GetOutputDescList][%s] Failed to get output tensor desc.", graph_item_->GetName().c_str());
   if (outputs.size() != output_desc.size()) {
     GELOGE(INTERNAL_ERROR,
-           "Number of output tensors(%zu) mismatch number of output tensor desc(%zu).",
-           outputs.size(),
-           output_desc.size());
+        "[Check][Size]Number of output tensors(%zu) mismatch number of output tensor desc(%zu).",
+        outputs.size(), output_desc.size());
+    REPORT_INNER_ERROR("E19999", "Number of output tensors(%zu) mismatch number of output tensor desc(%zu) when %s.",
+        outputs.size(), output_desc.size(), __FUNCTION__);
     return INTERNAL_ERROR;
   }
   return SUCCESS;
@@ -401,17 +408,15 @@ Status SubgraphExecutor::SetOutputsToParentNode(TaskContext &task_context) {
   std::vector<TensorValue> outputs;
   std::vector<ConstGeTensorDescPtr> output_desc_list;
   GE_CHK_STATUS_RET(subgraph_context_->GetOutputs(outputs),
-                    "[%s] Failed to get output tensors.",
-                    graph_item_->GetName().c_str());
+      "[Invoke][GetOutputs][%s] Failed to get output tensors.", graph_item_->GetName().c_str());
   GE_CHK_STATUS_RET(graph_item_->GetOutputDescList(output_desc_list),
-                    "[%s] Failed to get output tensor desc.",
-                    graph_item_->GetName().c_str());
+      "[Invoke][GetOutputDescList][%s] Failed to get output tensor desc.", graph_item_->GetName().c_str());
 
   if (outputs.size() != output_desc_list.size()) {
-    GELOGE(INTERNAL_ERROR, "[%s] num output tensors = %zu, num output tensor desc = %zu",
-           graph_item_->GetName().c_str(),
-           outputs.size(),
-           output_desc_list.size());
+    GELOGE(INTERNAL_ERROR, "[Check][Size][%s] num output tensors = %zu, num output tensor desc = %zu",
+        graph_item_->GetName().c_str(), outputs.size(), output_desc_list.size());
+    REPORT_INNER_ERROR("E19999", "[%s] num output tensors = %zu, num output tensor desc = %zu when %s",
+        graph_item_->GetName().c_str(), outputs.size(), output_desc_list.size(), __FUNCTION__);
     return INTERNAL_ERROR;
   }
 
@@ -460,9 +465,10 @@ Status SubgraphExecutor::EnableOutputZeroCopy(const vector<TensorValue> &outputs
   const auto &output_edges = graph_item_->GetOutputEdges();
   // Op -> MetOutput, set the output tensor of Op that output to the NetOutput node
   if (outputs.size() != output_edges.size()) {
-    GELOGE(PARAM_INVALID, "Output number mismatches, expect = %zu, but given = %zu",
-           output_edges.size(),
-           outputs.size());
+    GELOGE(PARAM_INVALID, "[Check][Size]Output number mismatches, expect = %zu, but given = %zu",
+        output_edges.size(), outputs.size());
+    REPORT_INNER_ERROR("E19999", "Output number mismatches, expect = %zu, but given = %zu when %s",
+        output_edges.size(), outputs.size(), __FUNCTION__);
     return PARAM_INVALID;
   }
 
@@ -478,9 +484,7 @@ Status SubgraphExecutor::EnableOutputZeroCopy(const vector<TensorValue> &outputs
            output_tensor.DebugString().c_str());
 
     GE_CHK_STATUS_RET(subgraph_context_->SetOutput(*output_node, output_idx, output_tensor),
-                      "[%s] Failed to set input tensor[%zu]",
-                      graph_item_->GetName().c_str(),
-                      i);
+        "[Invoke][SetOutput][%s] Failed to set input tensor[%zu]", graph_item_->GetName().c_str(), i);
   }
 
   GELOGD("Done enabling zero copy for outputs successfully.");

ge/hybrid/model/graph_item.cc

@@ -95,7 +95,8 @@ Status GraphItem::GroupNodes() {
     int group = node->group;
     if (group != last_group) {
       if (seen_groups.find(group) != seen_groups.end()) {
-        GELOGE(INTERNAL_ERROR, "Unordered node group found. node = %s, group = %d", node->NodeName().c_str(), group);
+        GELOGE(INTERNAL_ERROR, 
+            "[Order][NodeGroup]Unordered node group found. node = %s, group = %d", node->NodeName().c_str(), group);
         return INTERNAL_ERROR;
       } else {
         last_group = group;

ge/hybrid/model/hybrid_model_builder.cc

@@ -71,7 +71,7 @@ Status SetOutputNameAttr(ComputeGraph &graph) {
     }
   }
   GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListStr(&graph, ATTR_MODEL_OUT_NODES_NAME, output_names),
-                   GELOGE(FAILED, "SetListStr of ATTR_MODEL_OUT_NODES_NAME failed.");
+                   GELOGE(FAILED, "[Invoke][SetListStr] of ATTR_MODEL_OUT_NODES_NAME failed.");
                    return FAILED);
   return SUCCESS;
 }
@@ -109,10 +109,11 @@ Status CollectDependenciesForFusedGraph(NodeItem &node_item, std::set<OpDesc *>
       GE_CHECK_NOTNULL(src_op_desc);
       if (src_node->GetType() != DATA_TYPE) {
         GELOGE(UNSUPPORTED,
-               "[%s::%s] Node in fused subgraph can only depend on Data nodes, but depend on %s",
-               node_item.NodeName().c_str(),
-               node->GetName().c_str(),
-               src_node->GetType().c_str());
+            "[Check][NodeType][%s::%s] Node in fused subgraph can only depend on Data nodes, but depend on %s",
+            node_item.NodeName().c_str(), node->GetName().c_str(), src_node->GetType().c_str());
+        REPORT_INNER_ERROR("E19999", 
+            "[%s::%s] Node in fused subgraph can only depend on Data nodes, but depend on %s when %s.",
+            node_item.NodeName().c_str(), node->GetName().c_str(), src_node->GetType().c_str(), __FUNCTION__);
         return UNSUPPORTED;
       }
 
@@ -129,37 +130,38 @@ HybridModelBuilder::HybridModelBuilder(HybridModel &hybrid_model)
 }
 
 Status HybridModelBuilder::Build() {
-  GE_CHK_STATUS_RET(ValidateParams(), "Failed to validate GeRootModel");
+  GE_CHK_STATUS_RET(ValidateParams(), "[Invoke][ValidateParams] failed, model_name_:[%s]", GetGraphName());
   hybrid_model_.model_name_ = ge_root_model_->GetRootGraph()->GetName();
   GELOGI("[%s] Start to build hybrid model.", GetGraphName());
-  GE_CHK_STATUS_RET(InitRuntimeParams(), "[%s] Failed to InitRuntimeParams", GetGraphName());
-  GE_CHK_STATUS_RET(RecoverGraphUnknownFlag(), "[%s] Failed to RecoverGraphUnknownFlag", GetGraphName());
-  GE_CHK_STATUS_RET(IndexSpecialNodes(), "[%s] Failed to index nodes", GetGraphName());
-  GE_CHK_STATUS_RET(IndexTaskDefs(), "[%s] Failed to index task defs", GetGraphName());
-  GE_CHK_STATUS_RET(InitWeights(), "[%s] Failed to init weights", GetGraphName());
-  GE_CHK_STATUS_RET(LoadGraph(), "[%s] Failed to load graph", GetGraphName());
-  GE_CHK_STATUS_RET(AssignUninitializedConstantOps(), "[%s] Failed to assign uninitialized constants", GetGraphName());
-  GE_CHK_STATUS_RET(TransAllVarData(), "[%s] Failed to trans all var data", GetGraphName());
-  GE_CHK_STATUS_RET(CopyVarData(), "[%s] Failed to copy var data", GetGraphName());
-  GE_CHK_STATUS_RET(InitModelMem(), "[%s] Failed to init memory", GetGraphName());
-  GE_CHK_STATUS_RET(InitConstantOps(), "[%s] Failed to init constant op", GetGraphName());
-  GE_CHK_STATUS_RET(InitVariableTensors(), "[%s] Failed to init variables", GetGraphName());
-  GE_CHK_STATUS_RET(LoadTasks(), "[%s] Failed to load tasks", GetGraphName());
+  GE_CHK_STATUS_RET(InitRuntimeParams(), "[Invoke][InitRuntimeParams] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(RecoverGraphUnknownFlag(), "[Invoke][RecoverGraphUnknownFlag] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(IndexSpecialNodes(), "[Invoke][IndexSpecialNodes] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(IndexTaskDefs(), "[Invoke][IndexTaskDefs] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(InitWeights(), "[Invoke][InitWeights] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(LoadGraph(), "[Invoke][LoadGraph] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(AssignUninitializedConstantOps(), 
+      "[Invoke][AssignUninitializedConstantOps] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(TransAllVarData(), "[Invoke][TransAllVarData] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(CopyVarData(), "[Invoke][CopyVarData] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(InitModelMem(), "[Invoke][InitModelMem] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(InitConstantOps(), "[Invoke][InitConstantOps] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(InitVariableTensors(), "[Invoke][InitVariableTensors], model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(LoadTasks(), "[Invoke][LoadTasks] failed, model_name_:[%s]", GetGraphName());
   GELOGI("[%s] Done building hybrid model successfully.", GetGraphName());
   return SUCCESS;
 }
 
 Status HybridModelBuilder::BuildForSingleOp() {
-  GE_CHK_STATUS_RET(ValidateParams(), "Failed to validate GeRootModel");
+  GE_CHK_STATUS_RET(ValidateParams(), "[Invoke][ValidateParams] failed, model_name_:[%s]", GetGraphName());
   hybrid_model_.model_name_ = ge_root_model_->GetRootGraph()->GetName();
   GELOGI("[%s] Start to build hybrid model.", GetGraphName());
   auto ret = ge_root_model_->GetSubgraphInstanceNameToModel();
   const GeModelPtr ge_model = ret[ge_root_model_->GetRootGraph()->GetName()];
   GE_CHK_STATUS_RET(IndexTaskDefs(ge_root_model_->GetRootGraph(), ge_model),
-                    "[%s] Failed to index task defs", GetGraphName());
-  GE_CHK_STATUS_RET(LoadGraph(), "[%s] Failed to load graph", GetGraphName());
-  GE_CHK_STATUS_RET(InitWeights(), "[%s] Failed to init weights", GetGraphName());
-  GE_CHK_STATUS_RET(LoadTasks(), "[%s] Failed to load tasks", GetGraphName());
+                    "[Invoke][IndexTaskDefs] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(LoadGraph(), "[Invoke][LoadGraph] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(InitWeights(), "[Invoke][InitWeights] failed, model_name_:[%s]", GetGraphName());
+  GE_CHK_STATUS_RET(LoadTasks(), "[Invoke][LoadTasks] failed, model_name_:[%s]", GetGraphName());
   GELOGI("[%s] Done building hybrid model for single op successfully.", GetGraphName());
   return SUCCESS;
 }
@@ -173,18 +175,20 @@ Status HybridModelBuilder::ValidateParams() {
 Status HybridModelBuilder::BuildNodeItem(const NodePtr &node, NodeItem &node_item) {
   auto op_desc = node->GetOpDesc();
   GE_CHK_STATUS_RET(ParseForceInfershapeNodes(node, node_item),
-                    "[%s] Failed to parse force_infershape node.",
+                    "[Invoke][ParseForceInfershapeNodes]failed, node:[%s].",
                     node_item.NodeName().c_str());
   vector<string> dependencies = node->GetOpDesc()->GetOpInferDepends();
   GE_CHK_STATUS_RET(ParseDependentInputNodes(node_item, dependencies),
-                    "[%s] Failed to parse node dependencies.",
+                    "[Invoke][ParseDependentInputNodes]failed, node:[%s].",
                     node_item.NodeName().c_str());
 
   node_item.outputs.resize(node_item.num_outputs);
   for (int i = 0; i < node_item.num_outputs; ++i) {
     auto out_data_anchor = node->GetOutDataAnchor(i);
     if (out_data_anchor == nullptr) {
-      GELOGE(INTERNAL_ERROR, "out anchor[%d] of node %s is nullptr", i, node->GetName().c_str());
+      GELOGE(INTERNAL_ERROR, "[Get][OutDataAnchor]out anchor[%d] of node %s is nullptr", i, node->GetName().c_str());
+      REPORT_CALL_ERROR("E19999", "out anchor[%d] of node %s is nullptr when %s",
+          i, node->GetName().c_str(), __FUNCTION__);
       return INTERNAL_ERROR;
     }
 
@@ -197,12 +201,11 @@ Status HybridModelBuilder::BuildNodeItem(const NodePtr &node, NodeItem &node_ite
 
       NodeItem *dst_node_item = nullptr;
       GE_CHK_STATUS_RET(GetOrCreateNodeItem(dst_node, &dst_node_item),
-                        "[%s] Failed to get or create node item.",
+          "[GetOrCreate][NodeItem] failed, dst_node:[%s].",
                         dst_node->GetName().c_str());
       int canonical_index;
       GE_CHK_STATUS_RET(dst_node_item->GetCanonicalInputIndex(dst_in_anchor->GetIdx(), canonical_index),
-                        "[%s] Failed to canonical input index",
-                        dst_node->GetName().c_str());
+          "[Invoke][GetCanonicalInputIndex] failed, dst_node:[%s].", dst_node->GetName().c_str());
 
       node_item.outputs[i].emplace_back(canonical_index, dst_node_item);
     }
@@ -246,7 +249,7 @@ Status HybridModelBuilder::GetOrCreateNodeItem(const NodePtr &node, NodeItem **n
   }
 
   std::unique_ptr<NodeItem> new_node;
-  GE_CHK_STATUS_RET(NodeItem::Create(node, new_node), "Failed to create node item");
+  GE_CHK_STATUS_RET(NodeItem::Create(node, new_node), "[Invoke][Create] failed, model_name_:[%s]", GetGraphName());
   GE_CHK_STATUS_RET_NOLOG(NodeExecutorManager::GetInstance().GetExecutor(*node, &new_node->node_executor));
 
   // we do not need L2 Buffer
@@ -330,10 +333,8 @@ Status HybridModelBuilder::ParseDependentInputNodes(NodeItem &node_item, const s
   for (const auto &input_name : dependencies) {
     int input_index = node_item.op_desc->GetInputIndexByName(input_name);
     if (input_index < 0) {
-      GELOGE(INTERNAL_ERROR,
-             "[%s] Failed to get input index by name: %s",
-             node_item.NodeName().c_str(),
-             input_name.c_str());
+      GELOGE(INTERNAL_ERROR, "[Get][InputIndex]failed, node:[%s] inputname: %s.",
+          node_item.NodeName().c_str(), input_name.c_str());
       return INTERNAL_ERROR;
     }
 
@@ -380,10 +381,10 @@ Status HybridModelBuilder::ParseDependentForFusedSubgraph(NodeItem &node_item, s
   for (auto &op_desc : data_ops) {
     uint32_t parent_index = 0;
     if (!AttrUtils::GetInt(*op_desc, ATTR_NAME_PARENT_NODE_INDEX, parent_index)) {
-      GELOGE(INTERNAL_ERROR,
-             "[%s] Failed to get attr [%s]",
-             op_desc->GetName().c_str(),
-             ATTR_NAME_PARENT_NODE_INDEX.c_str());
+      GELOGE(INTERNAL_ERROR, "[Invoke][GetInt] failed, node:[%s]  attr:[%s]",
+          op_desc->GetName().c_str(), ATTR_NAME_PARENT_NODE_INDEX.c_str());
+      REPORT_CALL_ERROR("E19999", "invoke GetInt failed when %s, node:[%s]  attr:[%s]",
+          __FUNCTION__, op_desc->GetName().c_str(), ATTR_NAME_PARENT_NODE_INDEX.c_str());
       return INTERNAL_ERROR;
     }
 
@@ -413,24 +414,29 @@ Status HybridModelBuilder::ParseDependentForFusedSubgraph(NodeItem &node_item, s
 
 Status HybridModelBuilder::UpdateAnchorStatus(const NodePtr &node) {
   if (NodeUtils::SetAllAnchorStatus(node) != GRAPH_SUCCESS) {
-    GELOGE(INTERNAL_ERROR, "[%s] NodeUtils::SetAllAnchorStatus failed.", node->GetName().c_str());
+    GELOGE(INTERNAL_ERROR, "[Invoke][SetAllAnchorStatus] failed, node:[%s].", node->GetName().c_str());
+    REPORT_CALL_ERROR("E19999", "[%s] NodeUtils::SetAllAnchorStatus failed when %s.",
+        node->GetName().c_str(), __FUNCTION__);
     return INTERNAL_ERROR;
   }
   for (auto &anchor : node->GetAllInDataAnchors()) {
     auto peer_anchor = anchor->GetPeerOutAnchor();
     if (peer_anchor == nullptr) {
       if (AnchorUtils::SetStatus(anchor, ANCHOR_SUSPEND) != GRAPH_SUCCESS) {
-        GELOGE(INTERNAL_ERROR, "[%s] AnchorUtils::SetStatus failed.", node->GetName().c_str());
+        GELOGE(INTERNAL_ERROR, "[Invoke][SetStatus] failed, node:[%s].", node->GetName().c_str());
+        REPORT_CALL_ERROR("E19999", "SetStatus failed, node:[%s] when %s.", node->GetName().c_str(), __FUNCTION__);
         return INTERNAL_ERROR;
       }
     } else if (peer_anchor->GetOwnerNode()->GetType() == CONSTANT) {
       if (AnchorUtils::SetStatus(anchor, ANCHOR_CONST) != GRAPH_SUCCESS) {
-        GELOGE(INTERNAL_ERROR, "[%s] AnchorUtils::SetStatus failed.", node->GetName().c_str());
+        GELOGE(INTERNAL_ERROR, "[Invoke][SetStatus] failed, node:[%s].", node->GetName().c_str());
+        REPORT_CALL_ERROR("E19999", "SetStatus failed, node:[%s] when %s.", node->GetName().c_str(), __FUNCTION__);
         return INTERNAL_ERROR;
       }
     } else {
       if (AnchorUtils::SetStatus(anchor, ANCHOR_DATA) != GRAPH_SUCCESS) {
-        GELOGE(INTERNAL_ERROR, "[%s] AnchorUtils::SetStatus failed.", node->GetName().c_str());
+        GELOGE(INTERNAL_ERROR, "[Invoke][SetStatus] failed, node:[%s].", node->GetName().c_str());
+        REPORT_CALL_ERROR("E19999", "SetStatus failed, node:[%s] when %s.", node->GetName().c_str(), __FUNCTION__);
         return INTERNAL_ERROR;
       }
     }
@@ -441,11 +447,9 @@ Status HybridModelBuilder::UpdateAnchorStatus(const NodePtr &node) {
 
 Status HybridModelBuilder::DoUnlinkDataAnchors(const OutDataAnchorPtr &out_data_anchor,
                                                const InDataAnchorPtr &in_data_anchor) {
-  GE_CHK_GRAPH_STATUS_RET(out_data_anchor->Unlink(in_data_anchor), "Failed to unlink %s:%d from %s:%d",
-                          out_data_anchor->GetOwnerNode()->GetName().c_str(),
-                          out_data_anchor->GetIdx(),
-                          in_data_anchor->GetOwnerNode()->GetName().c_str(),
-                          in_data_anchor->GetIdx());
+  GE_CHK_GRAPH_STATUS_RET(out_data_anchor->Unlink(in_data_anchor),
+      "[Invoke][Unlink] failed to unlink %s:%d from %s:%d", out_data_anchor->GetOwnerNode()->GetName().c_str(),
+      out_data_anchor->GetIdx(), in_data_anchor->GetOwnerNode()->GetName().c_str(), in_data_anchor->GetIdx());
 
   GELOGD("Succeeded in unlinking %s:%d from %s:%d",
          out_data_anchor->GetOwnerNode()->GetName().c_str(),
@@ -456,7 +460,7 @@ Status HybridModelBuilder::DoUnlinkDataAnchors(const OutDataAnchorPtr &out_data_
 }
 
 Status HybridModelBuilder::DoLinkDataAnchors(OutDataAnchorPtr &out_data_anchor, InDataAnchorPtr &in_data_anchor) {
-  GE_CHK_GRAPH_STATUS_RET(out_data_anchor->LinkTo(in_data_anchor), "Failed to link %s:%d to %s:%d",
+  GE_CHK_GRAPH_STATUS_RET(out_data_anchor->LinkTo(in_data_anchor), "[Invoke][LinkTo]Failed to link %s:%d to %s:%d",
                           out_data_anchor->GetOwnerNode()->GetName().c_str(),
                           out_data_anchor->GetIdx(),
                           in_data_anchor->GetOwnerNode()->GetName().c_str(),
@@ -488,10 +492,10 @@ Status HybridModelBuilder::MergeInputNodes(ComputeGraph &graph) {
 
     uint32_t parent_index = 0;
     if (!AttrUtils::GetInt(data_op_desc, ATTR_NAME_PARENT_NODE_INDEX, parent_index)) {
-      GELOGE(FAILED,
-             "[%s] Failed to get attr [%s]",
-             data_op_desc->GetName().c_str(),
-             ATTR_NAME_PARENT_NODE_INDEX.c_str());
+      GELOGE(FAILED, "[Invoke][GetInt] failed, node:[%s] attr:[%s]",
+          data_op_desc->GetName().c_str(), ATTR_NAME_PARENT_NODE_INDEX.c_str());
+      REPORT_CALL_ERROR("E19999", "GetInt failed when %s, node:[%s] attr:[%s]",
+          __FUNCTION__, data_op_desc->GetName().c_str(), ATTR_NAME_PARENT_NODE_INDEX.c_str());
       return FAILED;
     }
 
@@ -557,7 +561,8 @@ Status HybridModelBuilder::MergeNetOutputNode(ComputeGraph &graph) {
     auto index = in_data_anchor->GetIdx();
     auto input_desc = net_output_desc->MutableInputDesc(index);
     if (input_desc == nullptr) {
-      GELOGE(INTERNAL_ERROR, "[%s] Failed to get input desc[%d]", net_output_desc->GetName().c_str(), index);
+      GELOGE(INTERNAL_ERROR, "[Invoke][MutableInputDesc][%s] Failed to get input desc[%d]",
+          net_output_desc->GetName().c_str(), index);
       return INTERNAL_ERROR;
     }
 
@@ -633,12 +638,13 @@ Status HybridModelBuilder::UnfoldSubgraphs(ComputeGraphPtr &root_graph, ComputeG
       }
     }
     GE_CHK_GRAPH_STATUS_RET(UnfoldSubgraph(root_graph, merged_graph, *subgraph),
-                            "[%s] Failed to merge subgraph.",
+                            "[Invoke][UnfoldSubgraph][%s] Failed to merge subgraph.",
                             subgraph->GetName().c_str());
   }
 
   // invoke before adding subgraphs. in case modify node id in known-shaped subgraphs.
-  GE_CHK_GRAPH_STATUS_RET(merged_graph->TopologicalSorting(), "Failed to invoke TopologicalSorting on merged graph.");
+  GE_CHK_GRAPH_STATUS_RET(merged_graph->TopologicalSorting(),
+      "[Invoke][TopologicalSorting]Failed to invoke TopologicalSorting on merged graph.");
   GE_DUMP(merged_graph, "hybrid_merged_graph_BeforeStageSort");
   merged_graph->TopologicalSorting([](const NodePtr &a, const NodePtr &b) -> bool {
     uint32_t a_level = UINT32_MAX;
@@ -651,7 +657,7 @@ Status HybridModelBuilder::UnfoldSubgraphs(ComputeGraphPtr &root_graph, ComputeG
   for (auto &remained_subgraph : root_graph->GetAllSubgraphs()) {
     GELOGD("Adding subgraph [%s] to merged-graph.", remained_subgraph->GetName().c_str());
     GE_CHK_GRAPH_STATUS_RET(merged_graph->AddSubgraph(remained_subgraph),
-                            "Failed to add subgraph [%s]",
+                            "[Invoke][AddSubgraph]Failed to add subgraph [%s]",
                             remained_subgraph->GetName().c_str());
     remained_subgraph->SetParentGraph(merged_graph);
   }
@@ -666,10 +672,10 @@ Status HybridModelBuilder::UnfoldSubgraph(ComputeGraphPtr &root_graph,
   GE_CHECK_NOTNULL(parent_node);
 
   GE_CHK_STATUS_RET(MergeInputNodes(sub_graph),
-                    "[%s] Failed to merge data nodes for subgraph",
+                    "[Invoke][MergeInputNodes][%s] Failed to merge data nodes for subgraph",
                     sub_graph.GetName().c_str());
   GE_CHK_STATUS_RET(MergeNetOutputNode(sub_graph),
-                    "[%s] Failed to merge net output nodes for subgraph",
+                    "[Invoke][MergeNetOutputNode][%s] Failed to merge net output nodes for subgraph",
                     sub_graph.GetName().c_str());
   GELOGD("[%s] Done merging subgraph inputs and outputs successfully", sub_graph.GetName().c_str());
 
@@ -683,7 +689,7 @@ Status HybridModelBuilder::UnfoldSubgraph(ComputeGraphPtr &root_graph,
       GE_CHECK_NOTNULL(sub_sub_graph);
       if (sub_sub_graph->GetGraphUnknownFlag()) {
         GE_CHK_STATUS_RET(UnfoldSubgraph(root_graph, parent_graph, *sub_sub_graph),
-                          "[%s] Failed to merge subgraph",
+                          "[Invoke][UnfoldSubgraph][%s] Failed to merge subgraph",
                           sub_sub_graph->GetName().c_str());
         continue;
       }
@@ -757,7 +763,8 @@ Status HybridModelBuilder::LoadGraph() {
     GELOGI("Before merging subgraphs DirectNodesSize = %zu, GetAllNodesSize = %zu",
            root_graph->GetDirectNodesSize(),
            root_graph->GetAllNodesSize());
-    GE_CHK_GRAPH_STATUS_RET(UnfoldSubgraphs(root_graph, merged_graph), "Failed to unfold subgraphs.");
+    GE_CHK_GRAPH_STATUS_RET(UnfoldSubgraphs(root_graph, merged_graph), 
+        "[Invoke][UnfoldSubgraphs]Failed to unfold subgraphs, model_name_:%s.", GetGraphName());
     root_graph = std::move(merged_graph);
     GELOGI("After merging subgraphs DirectNodesSize = %zu, GetAllNodesSize = %zu",
            root_graph->GetDirectNodesSize(),
@@ -779,9 +786,11 @@ Status HybridModelBuilder::LoadGraph() {
     op_desc->SetId(index++);
   }
   GE_DUMP(root_graph, "hybrid_merged_graph");
-  GE_CHK_STATUS_RET(LoadDynamicSubgraph(*root_graph, true), "Failed to load root graph.");
+  GE_CHK_STATUS_RET(LoadDynamicSubgraph(*root_graph, true), 
+      "[Invoke][LoadDynamicSubgraph]Failed to load root graph, model_name_:%s.", GetGraphName());
   GELOGD("Done loading root graph successfully.");
-  GE_CHK_STATUS_RET(hybrid_model_.root_graph_item_->GroupNodes(), "Failed to group nodes for root graph");
+  GE_CHK_STATUS_RET(hybrid_model_.root_graph_item_->GroupNodes(),
+      "[Invoke][GroupNodes]Failed to group nodes for root graph, model_name_:%s.", GetGraphName());
 
   for (auto &sub_graph : root_graph->GetAllSubgraphs()) {
     GE_CHECK_NOTNULL(sub_graph);
@@ -797,26 +806,28 @@ Status HybridModelBuilder::LoadGraph() {
 
     if (sub_graph->GetGraphUnknownFlag()) {
       GE_CHK_STATUS_RET(LoadDynamicSubgraph(*sub_graph, false),
-                        "Failed to load subgraph: [%s]",
+                        "[Invoke][LoadDynamicSubgraph]Failed to load subgraph: [%s]",
                         sub_graph->GetName().c_str());
     } else {
       GE_CHK_STATUS_RET(IdentifyVariableOutputs(*parent_node_item),
-                        "[%s] Failed to identify ref outputs.",
+                        "[Invoke][IdentifyVariableOutputs][%s] Failed to identify ref outputs.",
                         parent_node_item->NodeName().c_str());
       GE_CHK_STATUS_RET(IdentifySameInputs(*parent_node_item),
-                        "[%s] Failed to identify same outputs.",
+                        "[Invoke][IdentifySameInputs][%s] Failed to identify same outputs.",
                         parent_node_item->NodeName().c_str());
 
       // if parent is function control op. need add a virtual partitioned call
       if (parent_node_item->IsControlOp()) {
         GE_CHK_STATUS_RET(LoadKnownShapedSubgraph(*sub_graph, parent_node_item),
-                          "Failed to load function control op subgraph [%s]",
+                          "[Invoke][LoadKnownShapedSubgraph]Failed to load function control op subgraph [%s]",
                           sub_graph->GetName().c_str());
       }
     }
   }
 
-  GE_CHK_STATUS_RET(ParseDependentByParallelGroup(), "Failed to establish dependencies for hccl ops");
+  GE_CHK_STATUS_RET(ParseDependentByParallelGroup(), 
+      "[Invoke][ParseDependentByParallelGroup]Failed to establish dependencies for hccl ops, model_name_:%s.",
+      GetGraphName());
   GELOGI("Done loading all subgraphs successfully.");
   return SUCCESS;
 }
@@ -834,7 +845,7 @@ Status HybridModelBuilder::VarNodeToTensor(const NodePtr &var_node, std::unique_
   auto tensor_desc = var_node->GetOpDesc()->MutableOutputDesc(0);
   uint8_t *var_logic = nullptr;
   GE_CHK_STATUS_RET(var_manager_->GetVarAddr(var_name, *tensor_desc, &var_logic),
-                    "Failed to get var addr. var_name = %s, session_id = %ld",
+                    "[Invoke][GetVarAddr]Failed to get var addr. var_name = %s, session_id = %ld",
                     var_name.c_str(),
                     hybrid_model_.GetSessionId());
 
@@ -846,9 +857,11 @@ Status HybridModelBuilder::VarNodeToTensor(const NodePtr &var_node, std::unique_
   uint8_t *dev_mem = var_manager_->GetVarMemoryAddr(var_logic, memory_type);
   if (dev_mem == nullptr) {
     GELOGE(INTERNAL_ERROR,
-           "Failed to copy var %s from device, cant not get "
-           "var addr from logic addr %p",
-           var_node->GetName().c_str(), var_logic);
+        "[Invoke][GetVarMemoryAddr]Failed to copy var %s from device, cant not get var addr from logic addr %p",
+        var_node->GetName().c_str(), var_logic);
+    REPORT_CALL_ERROR("E19999",
+        "GetVarMemoryAddr failed when %s, Failed to copy var %s from device, cant not get var addr from logic addr %p",
+        __FUNCTION__, var_node->GetName().c_str(), var_logic);
     return INTERNAL_ERROR;
   }
 
@@ -876,7 +889,7 @@ Status HybridModelBuilder::HandleDtString(const GeTensor &tensor, void *var_addr
     auto &mutable_tensor = const_cast<GeTensor &>(tensor);
     uint64_t *buff = reinterpret_cast<uint64_t *>(mutable_tensor.MutableData().data());
     GE_CHK_BOOL_RET_STATUS(ge::CheckInt64Uint32MulOverflow(elem_num, kBytes * kStringHeadElems) == SUCCESS, FAILED,
-                           "Shape size is invalid");
+        "[Invoke][CheckInt64Uint32MulOverflow] failed because Shape size is invalid.");
     auto offset = static_cast<uint64_t>(elem_num * kBytes * kStringHeadElems);
     auto hbm_raw_data_base_addr =
         static_cast<uint64_t>(reinterpret_cast<uintptr_t>(var_addr) + offset);
@@ -928,7 +941,7 @@ Status HybridModelBuilder::InitConstantOps() {
     auto op_desc = var_node->GetOpDesc();
     auto v_weights = ModelUtils::GetWeights(op_desc);
     if (v_weights.empty()) {
-      GELOGE(INTERNAL_ERROR, "[%s] Constant no not have value", var_node->GetName().c_str());
+      GELOGE(INTERNAL_ERROR, "[Check][Size][%s] Constant no not have value", var_node->GetName().c_str());
       return INTERNAL_ERROR;
     }
     auto *ge_tensor = const_cast<GeTensor *>(v_weights[0].get());
@@ -942,7 +955,7 @@ Status HybridModelBuilder::InitConstantOps() {
       GELOGD("Init tensor with host constant %s size = %zu", var_name.c_str(), aligned_tensor.MutableData().GetSize());
       if (MemManager::Instance().HostMemInstance(RT_MEMORY_HBM).Malloc(aligned_tensor.GetAlignedPtr(),
                                                                        aligned_tensor.GetData().size()) == nullptr) {
-        GELOGE(MEMALLOC_FAILED, "Malloc host memory for an existed GeTensor failed.");
+        GELOGE(MEMALLOC_FAILED, "Malloc host memory for an existed GeTensor failed, model_name_:%s.", GetGraphName());
         return MEMALLOC_FAILED;
       }
       var_tensor.reset(new(std::nothrow)TensorValue(aligned_tensor.MutableData().data(),
@@ -993,17 +1006,18 @@ Status HybridModelBuilder::InitVariableTensors() {
     int64_t tensor_size = 0;
     if (TensorUtils::CalcTensorMemSize(output_tensor.GetShape(), output_tensor.GetFormat(), output_tensor.GetDataType(),
                                        tensor_size) != SUCCESS) {
-      GELOGE(INTERNAL_ERROR, "Calculate variable size failed, node name:%s", it.first.c_str());
+      GELOGE(INTERNAL_ERROR, "[Calculate][TensorMemSize] failed, node name:%s", it.first.c_str());
       return INTERNAL_ERROR;
     }
     SharedMemInfo mem_info(it.first, tensor_size);
     if (HostMemManager::Instance().MallocSharedMemory(mem_info) != SUCCESS) {
-      GELOGE(GE_GRAPH_MALLOC_FAILED, "Host variable [%s] malloc failed.", it.first.c_str());
+      GELOGE(GE_GRAPH_MALLOC_FAILED, "[Malloc][SharedMemory] failed, Host variable [%s].", it.first.c_str());
       return GE_GRAPH_MALLOC_FAILED;
     }
     if (MemManager::Instance().HostMemInstance(RT_MEMORY_HBM).Malloc(mem_info.host_aligned_ptr,
                                                                      tensor_size) == nullptr) {
-      GELOGE(MEMALLOC_FAILED, "Malloc host memory for an existed GeTensor failed.");
+      GELOGE(MEMALLOC_FAILED, 
+          "[Malloc][HostMem] for an existed GeTensor failed, Host variable [%s].", it.first.c_str());
       return MEMALLOC_FAILED;
     }
     GELOGD("Host variable [%s] malloc success, size=%ld.", it.first.c_str(), tensor_size);
@@ -1054,7 +1068,9 @@ Status HybridModelBuilder::InitWeights() {
       auto op_desc = node->GetOpDesc();
       auto v_weights = ModelUtils::GetWeights(op_desc);
       if (v_weights.empty()) {
-        GELOGE(INTERNAL_ERROR, "[%s] Constant has no value", node->GetName().c_str());
+        GELOGE(INTERNAL_ERROR, "[Invoke][GetWeights][%s] Constant has no value", node->GetName().c_str());
+        REPORT_CALL_ERROR("E19999", "[%s] Constant has no value when %s.",
+            node->GetName().c_str(), __FUNCTION__);
         return INTERNAL_ERROR;
       }
       auto *ge_tensor = const_cast<GeTensor *>(v_weights[0].get());
@@ -1062,11 +1078,11 @@ Status HybridModelBuilder::InitWeights() {
       const GeTensorDesc &tensor_desc = ge_tensor->GetTensorDesc();
       int64_t tensor_size = 0;
       GE_CHK_GRAPH_STATUS_RET(TensorUtils::GetSize(*op_desc->MutableOutputDesc(0), tensor_size),
-                              "[%s] Failed to get tensor size",
+                              "[Invoke][GetSize][%s] Failed to get tensor size",
                               node->GetName().c_str());
       int64_t data_offset = 0;
       GE_CHK_GRAPH_STATUS_RET(TensorUtils::GetDataOffset(tensor_desc, data_offset),
-                              "[%s] Failed to get data offset",
+                              "[Invoke][GetDataOffset][%s] Failed to get data offset",
                               node->GetName().c_str());
       GELOGD("[%s] Start to init Constant node [%s], size = %ld, offset = %ld",
              GetGraphName(),
@@ -1093,7 +1109,8 @@ Status HybridModelBuilder::LoadTask(NodeItem &node_item) {
                                                     node_ptr,
                                                     node_item.kernel_task);
   if (load_ret != UNSUPPORTED && load_ret != SUCCESS) {
-    GELOGE(load_ret, "[%s] Failed to load task", node_ptr->GetName().c_str());
+    GELOGE(load_ret, "[Invoke][LoadTask][%s] Failed to load task", node_ptr->GetName().c_str());
+    REPORT_CALL_ERROR("E19999", "[%s] Failed to load task when %s", node_ptr->GetName().c_str(), __FUNCTION__);
     return load_ret;
   }
 
@@ -1102,7 +1119,7 @@ Status HybridModelBuilder::LoadTask(NodeItem &node_item) {
 }
 
 Status HybridModelBuilder::LoadTasks() {
-  GE_CHK_STATUS_RET(CheckAicpuOpList(), "Check Aicpu op failed.");
+  GE_CHK_STATUS_RET(CheckAicpuOpList(), "[Check][AicpuOpList] failed.");
   std::map<int, std::map<std::string, NodeItem *>> ordered_partitioned_calls;
   for (auto &it : hybrid_model_.node_items_) {
     auto &node_item = it.second;
@@ -1179,7 +1196,8 @@ Status HybridModelBuilder::IndexTaskDefs(const ComputeGraphPtr &sub_graph, const
 
     auto iter = node_map.find(op_index);
     if (iter == node_map.end()) {
-      GELOGE(INTERNAL_ERROR, "Failed to get node by op_index = %u", op_index);
+      GELOGE(INTERNAL_ERROR, "[Find][Node]Failed to get node by op_index = %u", op_index);
+      REPORT_INNER_ERROR("E19999", "Failed to get node by op_index = %u when %s.", op_index, __FUNCTION__);
       return INTERNAL_ERROR;
     }
 
@@ -1249,7 +1267,8 @@ Status HybridModelBuilder::IndexTaskDefs() {
 
       auto iter = node_map.find(op_index);
       if (iter == node_map.end()) {
-        GELOGE(INTERNAL_ERROR, "Failed to get node by index = %u", op_index);
+        GELOGE(INTERNAL_ERROR, "[Find][Node]Failed to get node by index = %u.", op_index);
+        REPORT_INNER_ERROR("E19999", "Failed to get node by index = %u when %s.", op_index, __FUNCTION__);
         return INTERNAL_ERROR;
       }
 
@@ -1314,14 +1333,14 @@ Status HybridModelBuilder::GetPeerNodeAcrossSubGraphs(const NodePtr &data_node,
   GELOGD("To get peer node of %s::%s", sub_graph->GetName().c_str(), data_node->GetName().c_str());
   auto wrapped_node = data_node->GetOwnerComputeGraph()->GetParentNode();
   if (wrapped_node == nullptr) {
-    GELOGE(INTERNAL_ERROR, "[%s] Node is in root graph.", data_node->GetName().c_str());
+    GELOGE(INTERNAL_ERROR, "[Invoke][GetParentNode][%s] Node is in root graph.", data_node->GetName().c_str());
     return INTERNAL_ERROR;
   }
   auto data_op_desc = data_node->GetOpDesc();
   uint32_t parent_index = 0;
   if (!AttrUtils::GetInt(data_op_desc, ATTR_NAME_PARENT_NODE_INDEX, parent_index)) {
     GELOGE(INTERNAL_ERROR,
-           "[%s] Failed to get attr [%s]",
+           "[Invoke][GetInt][%s] Failed to get attr [%s]",
            data_op_desc->GetName().c_str(),
            ATTR_NAME_PARENT_NODE_INDEX.c_str());
     return INTERNAL_ERROR;
@@ -1331,7 +1350,8 @@ Status HybridModelBuilder::GetPeerNodeAcrossSubGraphs(const NodePtr &data_node,
   GE_CHECK_NOTNULL(wrapped_node_in_anchor);
   auto src_out_anchor = wrapped_node_in_anchor->GetPeerOutAnchor();
   if (src_out_anchor == nullptr || src_out_anchor->GetOwnerNode() == nullptr) {
-    GELOGE(INTERNAL_ERROR, "[%s] Parent node do not have peer anchor.", data_node->GetName().c_str());
+    GELOGE(INTERNAL_ERROR, 
+        "[Check][ParentNode][%s] Parent node do not have peer anchor.", data_node->GetName().c_str());
     return INTERNAL_ERROR;
   }
 
@@ -1356,7 +1376,7 @@ Status HybridModelBuilder::GetPeerNodeAcrossSubGraphs(const NodePtr &data_node,
   auto src_net_output_node = src_graph->FindFirstNodeMatchType(NETOUTPUT);
   GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(src_net_output_node == nullptr,
                                  return INTERNAL_ERROR,
-                                 "Failed to find NetOutput in subgraph: %s",
+                                 "[Invoke][FindFirstNodeMatchType]Failed to find NetOutput in subgraph: %s",
                                  src_graph->GetName().c_str());
   auto net_output_desc = src_net_output_node->GetOpDesc();
   GE_CHECK_NOTNULL(net_output_desc);
@@ -1393,17 +1413,18 @@ Status HybridModelBuilder::GetPeerNodeAcrossSubGraphs(const NodePtr &data_node,
     }
   }
 
-  GELOGE(FAILED,
-         "Failed to find peer node for %s::%s",
-         sub_graph->GetName().c_str(),
-         data_node->GetName().c_str());
+  GELOGE(FAILED, "[Get][PeerNode]Failed to find peer node for %s::%s",
+      sub_graph->GetName().c_str(), data_node->GetName().c_str());
+  REPORT_INNER_ERROR("E19999", "Failed to find peer node for %s::%s when %s.",
+      sub_graph->GetName().c_str(), data_node->GetName().c_str(), __FUNCTION__);
   return FAILED;
 }
 Status HybridModelBuilder::InitRuntimeParams() {
   int64_t value = 0;
   bool ret = false;
   if (ge_root_model_->GetSubgraphInstanceNameToModel().empty()) {
-    GELOGE(INTERNAL_ERROR, "Root model has no sub model");
+    GELOGE(INTERNAL_ERROR, "[Get][SubModel]Root model has no sub model, model:%s.", GetGraphName());
+    REPORT_INNER_ERROR("E19999", "Root model has no sub model when %s, model:%s.", __FUNCTION__, GetGraphName());
     return INTERNAL_ERROR;
   }
 
@@ -1546,8 +1567,10 @@ Status HybridModelBuilder::GetParentNodeOutputIndex(const OpDesc &op_desc, int i
   auto input_desc = op_desc.MutableInputDesc(index);
   GE_CHECK_NOTNULL(input_desc);
   if (!AttrUtils::GetInt(input_desc, ATTR_NAME_PARENT_NODE_INDEX, out_index)) {
-    GELOGE(INTERNAL_ERROR, "NetOutput input tensor %d, attr %s not found.",
-           index, ATTR_NAME_PARENT_NODE_INDEX.c_str());
+    GELOGE(INTERNAL_ERROR, "[Invoke][GetInt]NetOutput input tensor %d, attr %s not found.",
+        index, ATTR_NAME_PARENT_NODE_INDEX.c_str());
+    REPORT_CALL_ERROR("E19999", "NetOutput input tensor %d, attr %s not found when %s.",
+        index, ATTR_NAME_PARENT_NODE_INDEX.c_str(), __FUNCTION__);
     return INTERNAL_ERROR;
   }
   return SUCCESS;
@@ -1563,7 +1586,7 @@ Status HybridModelBuilder::InitModelMem() {
 
   if (total_var_size > 0 && hybrid_model_.var_mem_base_ == nullptr) {
     GE_CHK_STATUS_RET(var_manager_->MallocVarMemory(total_var_size),
-                      "Malloc Var Memory Fail.");
+                      "[Malloc][VarMemory] failed, size:%zu.", total_var_size);
     hybrid_model_.var_mem_base_ = var_manager_->GetVarMemoryBase(RT_MEMORY_HBM);
   }
 
@@ -1580,7 +1603,8 @@ Status HybridModelBuilder::TransAllVarData() {
   rtContext_t ctx = nullptr;
   rtError_t rt_ret = rtCtxGetCurrent(&ctx);
   if (rt_ret != RT_ERROR_NONE) {
-    GELOGE(RT_FAILED, "Failed to get current context, error_code is: 0x%X.", rt_ret);
+    GELOGE(RT_FAILED, "[Invoke][rtCtxGetCurrent]Failed to get current context, error_code is: 0x%X.", rt_ret);
+    REPORT_CALL_ERROR("E19999", "rtCtxGetCurrent failed when %s, error_code: 0x%X.", __FUNCTION__, rt_ret);
     return RT_FAILED;
   }
 
@@ -1594,7 +1618,7 @@ Status HybridModelBuilder::TransAllVarData() {
                                                        runtime_param_.session_id,
                                                        ctx,
                                                        runtime_param_.graph_id),
-                    "TransAllVarData failed.");
+                    "[Invoke][TransAllVarData] failed.");
 
   GELOGI("TransAllVarData success.");
   return SUCCESS;
@@ -1604,7 +1628,7 @@ Status HybridModelBuilder::CopyVarData() {
   GE_CHK_STATUS_RET(TransVarDataUtils::CopyVarData(ge_root_model_->GetRootGraph(),
                                                    runtime_param_.session_id,
                                                    hybrid_model_.device_id_),
-                    "CopyVarData failed.");
+                    "[Invoke][CopyVarData] failed.");
   GELOGI("CopyVarData success.");
   return SUCCESS;
 }
@@ -1628,7 +1652,7 @@ Status HybridModelBuilder::LoadKnownShapedSubgraph(ComputeGraph &graph, NodeItem
       int32_t data_index = 0;
       if (!AttrUtils::GetInt(node->GetOpDesc(), ATTR_NAME_PARENT_NODE_INDEX, data_index)) {
         GELOGE(FAILED,
-               "[%s] Failed to get attr [%s]",
+               "[Invoke][GetInt][%s] Failed to get attr [%s]",
                node->GetName().c_str(),
                ATTR_NAME_PARENT_NODE_INDEX.c_str());
         return FAILED;
@@ -1645,7 +1669,7 @@ Status HybridModelBuilder::LoadKnownShapedSubgraph(ComputeGraph &graph, NodeItem
         }
 
         GE_CHK_GRAPH_STATUS_RET(wrapper_op_desc->AddOutputDesc(*output_desc),
-                                "[%s] Failed to add output desc. output index = %d",
+                                "[Invoke][AddOutputDesc][%s] Failed to add output desc. output index = %d",
                                 graph.GetName().c_str(),
                                 output_index);
 
@@ -2003,7 +2027,7 @@ Status HybridModelBuilder::BuildInputMapping(GraphItem &graph_item,
     } else {
       if (!AttrUtils::GetInt(node->GetOpDesc(), ATTR_NAME_PARENT_NODE_INDEX, data_index)) {
         GELOGE(FAILED,
-               "[%s] Failed to get attr [%s]",
+               "[Invoke][GetInt][%s] Failed to get attr [%s]",
                node->GetName().c_str(),
                ATTR_NAME_PARENT_NODE_INDEX.c_str());
         return FAILED;
@@ -2040,7 +2064,7 @@ Status HybridModelBuilder::CheckAicpuOpList() {
   aicpu_optype_list.assign(aicpu_optype_set.begin(), aicpu_optype_set.end());
   aicpu_tf_optype_list.assign(aicpu_tf_optype_set.begin(), aicpu_tf_optype_set.end());
   GE_CHK_STATUS_RET(ModelManager::GetInstance()->LaunchKernelCheckAicpuOp(aicpu_optype_list, aicpu_tf_optype_list),
-                    "Launch check aicpu op type failed.");
+                    "[Launch][KernelCheckAicpuOp] failed.");
   return SUCCESS;
 }