diff --git a/ge/hybrid/executor/hybrid_profiler.cc b/ge/hybrid/executor/hybrid_profiler.cc
index 7228197f..336a633f 100644
--- a/ge/hybrid/executor/hybrid_profiler.cc
+++ b/ge/hybrid/executor/hybrid_profiler.cc
@@ -25,7 +25,7 @@ namespace ge {
 namespace hybrid {
 namespace {
 const int kMaxEvents = 10000;
-const int kEventDescMax = 256;
+const int kEventDescMax = 512;
 const int kMaxEventTypes = 8;
 const int kIndent = 8;
 }
diff --git a/ge/hybrid/executor/subgraph_executor.cc b/ge/hybrid/executor/subgraph_executor.cc
index 76a6cc37..5a464f8e 100644
--- a/ge/hybrid/executor/subgraph_executor.cc
+++ b/ge/hybrid/executor/subgraph_executor.cc
@@ -93,6 +93,7 @@ Status SubgraphExecutor::InitInputsForUnknownShape(const std::vector<TensorValue
       GELOGD("[%s] Start to update input[%zu] for subgraph data node.", graph_item_->GetName().c_str(), i);
       GE_CHECK_LE(i + 1, input_desc.size());
       const auto &tensor_desc = input_desc[i];
+      GE_CHECK_NOTNULL(tensor_desc);
       auto node_state = subgraph_context_->GetOrCreateNodeState(input_node);
       GE_CHECK_NOTNULL(node_state);
       node_state->GetShapeInferenceState().UpdateInputShape(0, tensor_desc->GetOriginShape(), tensor_desc->GetShape());
diff --git a/ge/hybrid/executor/worker/shape_inference_engine.cc b/ge/hybrid/executor/worker/shape_inference_engine.cc
index bd429b21..d4019eda 100755
--- a/ge/hybrid/executor/worker/shape_inference_engine.cc
+++ b/ge/hybrid/executor/worker/shape_inference_engine.cc
@@ -164,7 +164,7 @@ Status ShapeInferenceEngine::InferShapeForSubgraph(const NodeItem &node_item, co
   for (auto &it : fused_subgraph.input_mapping) {
     auto parent_tensor_desc = node_item.MutableInputDesc(it.first);
     GE_CHECK_NOTNULL(parent_tensor_desc);
-    GELOGD("Start to update shape by input[%u]", it.first);
+    GELOGD("Start to update shape by input[%d]", it.first);
     GELOGD("Update shape to [%s]", parent_tensor_desc->GetShape().ToString().c_str());
     GELOGD("Update original shape to [%s]", parent_tensor_desc->GetOriginShape().ToString().c_str());
     for (auto &tensor_desc : it.second) {
@@ -183,12 +183,12 @@ Status ShapeInferenceEngine::InferShapeForSubgraph(const NodeItem &node_item, co
   }
 
   for (auto &it : fused_subgraph.output_mapping) {
-    uint32_t parent_output_idx = it.first;
+    int parent_output_idx = it.first;
     const auto &op_desc = it.second;
     GELOGD("Update parent output[%d] by [%s]", parent_output_idx, op_desc->GetName().c_str());
     auto input_desc = op_desc->MutableInputDesc(0);
     GE_CHECK_NOTNULL(input_desc);
-    auto parent_output_tensor_desc = node_item.op_desc->MutableOutputDesc(parent_output_idx);
+    auto parent_output_tensor_desc = node_item.MutableOutputDesc(parent_output_idx);
     GE_CHECK_NOTNULL(parent_output_tensor_desc);
     GELOGD("Update shape to [%s]", input_desc->GetShape().ToString().c_str());
     GELOGD("Update original shape to [%s]", input_desc->GetOriginShape().ToString().c_str());
diff --git a/ge/hybrid/model/node_item.h b/ge/hybrid/model/node_item.h
index 8fac4a73..8fbdc648 100644
--- a/ge/hybrid/model/node_item.h
+++ b/ge/hybrid/model/node_item.h
@@ -30,8 +30,8 @@ class NodeTask;
 class NodeExecutor;
 
 struct FusedSubgraph {
-  std::map<uint32_t, std::vector<GeTensorDescPtr>> input_mapping;
-  std::map<uint32_t, OpDescPtr> output_mapping;
+  std::map<int, std::vector<GeTensorDescPtr>> input_mapping;
+  std::map<int, OpDescPtr> output_mapping;
   std::vector<NodePtr> nodes;
   ComputeGraphPtr graph;
 };
diff --git a/ge/hybrid/node_executor/compiledsubgraph/known_node_executor.h b/ge/hybrid/node_executor/compiledsubgraph/known_node_executor.h
index fb1966b4..2dde993b 100644
--- a/ge/hybrid/node_executor/compiledsubgraph/known_node_executor.h
+++ b/ge/hybrid/node_executor/compiledsubgraph/known_node_executor.h
@@ -27,7 +27,7 @@ class HybridModel;
 
 class KnownNodeTask : public NodeTask {
  public:
-  KnownNodeTask(std::shared_ptr<DavinciModel> davinci_model)
+  explicit KnownNodeTask(std::shared_ptr<DavinciModel> davinci_model)
       : davinci_model_(davinci_model)
     {}
 
diff --git a/ge/hybrid/node_executor/ge_local/ge_local_node_executor.cc b/ge/hybrid/node_executor/ge_local/ge_local_node_executor.cc
index ee45964c..7a83641d 100755
--- a/ge/hybrid/node_executor/ge_local/ge_local_node_executor.cc
+++ b/ge/hybrid/node_executor/ge_local/ge_local_node_executor.cc
@@ -61,10 +61,10 @@ Status RefInputTask::Execute(TaskContext &context) {
 
 Status RefInputTask::RefOneByOne(TaskContext &context) {
   GELOGI("node %s type %s ref input one by one begin.", node_name_.c_str(), node_type_.c_str());
-  uint32_t input_num = context.NumInputs();
-  uint32_t output_num = context.NumOutputs();
+  int input_num = context.NumInputs();
+  int output_num = context.NumOutputs();
   if (output_num > input_num) {
-    GELOGE(INTERNAL_ERROR, "node %s type %s has %u outputs but only %u inputs, can't ref one by one.",
+    GELOGE(INTERNAL_ERROR, "node %s type %s has %d outputs but only %d inputs, can't ref one by one.",
            node_name_.c_str(), node_type_.c_str(), output_num, input_num);
     return INTERNAL_ERROR;
   }
@@ -72,7 +72,7 @@ Status RefInputTask::RefOneByOne(TaskContext &context) {
     auto input = context.GetInput(out_index);
     GE_CHECK_NOTNULL(input);
     GE_CHK_STATUS_RET(context.SetOutput(out_index, *input));
-    GELOGD("node %s type %s output[%u] ref input[%u] addr=%p.",
+    GELOGD("node %s type %s output[%d] ref input[%d] addr=%p.",
            node_name_.c_str(), node_type_.c_str(), out_index, out_index, input->GetData());
   }
   GELOGI("node %s type %s ref input one by one end.", node_name_.c_str(), node_type_.c_str());