diff --git a/ge/graph/load/model_manager/davinci_model.cc b/ge/graph/load/model_manager/davinci_model.cc
index 01ded5a2..2ce6c1d8 100755
--- a/ge/graph/load/model_manager/davinci_model.cc
+++ b/ge/graph/load/model_manager/davinci_model.cc
@@ -3683,6 +3683,7 @@ Status DavinciModel::InitConstant(const OpDescPtr &op_desc) {
       elem_num = 1;
     }
     uint64_t *buff = reinterpret_cast<uint64_t *>(tensor->MutableData().data());
+    GE_CHECK_NOTNULL(buff);
     if (ge::CheckInt64Uint32MulOverflow(elem_num, kBytes * kStringHeadElems) != SUCCESS) {
       GELOGE(FAILED, "[Call][CheckInt64Uint32MulOverflow] Shape size:%ld is invalid", elem_num);
       return FAILED;
diff --git a/ge/hybrid/executor/worker/execution_engine.cc b/ge/hybrid/executor/worker/execution_engine.cc
index ca864244..4bd02193 100755
--- a/ge/hybrid/executor/worker/execution_engine.cc
+++ b/ge/hybrid/executor/worker/execution_engine.cc
@@ -428,7 +428,7 @@ Status ExecutionEngine::ValidateInputTensors(const NodeState &node_state, const
       continue;
     }
 
-    int64_t expected_size;
+    int64_t expected_size = 0;
     (void)TensorUtils::GetSize(*tensor_desc, expected_size);
     GELOGD("[%s] Input[%d] expects [%ld] bytes.", task_context.GetNodeName(), i, expected_size);
     auto size_diff = expected_size - static_cast<int64_t>(input_tensor->GetSize());
diff --git a/ge/hybrid/model/hybrid_model_builder.cc b/ge/hybrid/model/hybrid_model_builder.cc
index 80b67420..21c23b85 100755
--- a/ge/hybrid/model/hybrid_model_builder.cc
+++ b/ge/hybrid/model/hybrid_model_builder.cc
@@ -900,6 +900,7 @@ Status HybridModelBuilder::LoadGraph() {
     GE_CHECK_NOTNULL(node_item);
     AscendString graph_name;
     GE_CHK_GRAPH_STATUS_RET(it.second->GetGraph().GetName(graph_name), "Failed to get subgraph name");
+    GE_CHECK_NOTNULL(graph_name.GetString());
     auto subgraph = hybrid_model_.GetRootGraph()->GetSubgraph(graph_name.GetString());
     GE_CHECK_NOTNULL(subgraph);
     GE_CHK_STATUS_RET(IdentifyVariableOutputs(*node_item, subgraph),
@@ -967,6 +968,7 @@ 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_CHECK_NOTNULL(buff);
     GE_CHK_BOOL_RET_STATUS(ge::CheckInt64Uint32MulOverflow(elem_num, kBytes * kStringHeadElems) == SUCCESS, FAILED,
                            "[Invoke][CheckInt64Uint32MulOverflow] failed because Shape size is invalid.");
     auto offset = static_cast<uint64_t>(elem_num * kBytes * kStringHeadElems);
diff --git a/ge/hybrid/node_executor/hccl/hccl_node_executor.cc b/ge/hybrid/node_executor/hccl/hccl_node_executor.cc
index 0f98674c..7672a1e3 100644
--- a/ge/hybrid/node_executor/hccl/hccl_node_executor.cc
+++ b/ge/hybrid/node_executor/hccl/hccl_node_executor.cc
@@ -417,7 +417,7 @@ Status BuildGatherAllToAllParams(TaskContext &context, HcomGatherAllToAllVParams
   }
   params.recvtype = iter->second;
 
-  int64_t addr_len;
+  int64_t addr_len = 0;
   (void) ge::AttrUtils::GetInt(op_desc, "addr_length", addr_len);
   params.addrLength = static_cast<int>(addr_len);
 
@@ -460,6 +460,7 @@ Status AllToAllNodeTask::ExecuteAsync(TaskContext &context, std::function<void()
       return FAILED;
     }
     HcomGatherAllToAllVParams params;
+    params.group = nullptr;
     GE_CHK_STATUS_RET(BuildGatherAllToAllParams(context, params));
     HcclResult hccl_ret = HcomExecEnqueueGatherAllToAllV(params, callback);
     if (hccl_ret != HCCL_SUCCESS) {
diff --git a/ge/ir_build/ge_ir_build.cc b/ge/ir_build/ge_ir_build.cc
index 686385d4..e01dd956 100644
--- a/ge/ir_build/ge_ir_build.cc
+++ b/ge/ir_build/ge_ir_build.cc
@@ -866,6 +866,7 @@ graphStatus aclgrphDumpGraph(const ge::Graph &graph, const char *file, const siz
 graphStatus aclgrphGenerateForOp(const AscendString &op_type, const vector<TensorDesc> &inputs,
                                  const vector<TensorDesc> &outputs, Graph &graph) {
   ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kOther);
+  GE_CHECK_NOTNULL(op_type.GetString());
   auto op_type_str = std::string(op_type.GetString());
   auto op_name = op_type_str + "_" + std::to_string(ge::GetCurrentTimestamp());
   auto op_desc = ge::MakeShared<ge::OpDesc>(op_name, op_type_str);
diff --git a/ge/single_op/task/op_task.cc b/ge/single_op/task/op_task.cc
index b538e6d5..da0a8604 100755
--- a/ge/single_op/task/op_task.cc
+++ b/ge/single_op/task/op_task.cc
@@ -57,7 +57,7 @@ Status OpTask::OpenDump(rtStream_t stream) {
     size_t arg_num = 0;
     GetIoAddr(arg_base, arg_num);
     if (arg_num < input_size + output_size) {
-      GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, 
+      GELOGE(ACL_ERROR_GE_INTERNAL_ERROR,
           "[Check][Size]io_addrs_for_dump_ size %zu is not equal input and output size %zu",
           arg_num, input_size + output_size);
       REPORT_INNER_ERROR("E19999", "io_addrs_for_dump_ size %zu is not equal input and output size %zu",
@@ -149,7 +149,7 @@ Status OpTask::DoUpdateArgTable(const SingleOpModelParam &param, bool keep_works
   size_t arg_num = 0;
   GetIoAddr(arg_base, arg_num);
   if (arg_num < all_addresses.size()) {
-    GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, 
+    GELOGE(ACL_ERROR_GE_INTERNAL_ERROR,
         "[Check][Size][%s] arg number mismatches, expect at least = %zu, but got = %zu.",
         op_desc_->GetName().c_str(), all_addresses.size(), arg_num);
     REPORT_INNER_ERROR("E19999", "%s arg number mismatches, expect at least = %zu, but got = %zu.",
@@ -443,7 +443,7 @@ Status AiCpuBaseTask::SetExtInfoAndType(const std::string &kernel_ext_info, uint
   Status ret = aicpu_ext_handle_->Parse(kernel_ext_info);
   if (ret != SUCCESS) {
     GELOGE(ret, "[Parse][Param:kernel_ext_info] failed, kernel_ext_info_size=%zu.", kernel_ext_info.size());
-    REPORT_INNER_ERROR("E19999", 
+    REPORT_INNER_ERROR("E19999",
         "Parse Param:kernel_ext_info failed, kernel_ext_info_size=%zu.", kernel_ext_info.size());
     return ret;
   }
@@ -512,12 +512,12 @@ Status AiCpuBaseTask::UpdateExtInfo(const std::vector<GeTensorDesc> &input_desc,
 
   if (unknown_type_ != DEPEND_COMPUTE) {
     for (size_t j = 0; j < num_outputs_; ++j) {
-      GE_CHK_STATUS_RET(aicpu_ext_handle_->UpdateOutputShapeAndType(j, output_desc[j]), 
+      GE_CHK_STATUS_RET(aicpu_ext_handle_->UpdateOutputShapeAndType(j, output_desc[j]),
           "[Update][OutputShapeAndType] failed, Output:%zu.", j);
       if (DumpManager::GetInstance().GetDumpProperties(kInferSessionId).IsSingleOpNeedDump()) {
         GE_CHK_STATUS_RET(op_desc_->UpdateOutputDesc(j, output_desc[j]),
                           "AiCpuTask Update [%zu]th output desc failed.",j);
-    }                  
+    }
     }
   }
 
@@ -546,7 +546,7 @@ Status AiCpuBaseTask::UpdateOutputShape(vector<GeTensorDesc> &output_desc) {
     GeShape shape;
     DataType data_type;
     aicpu_ext_handle_->GetOutputShapeAndType(i, shape, data_type);
-    GE_CHK_STATUS_RET(UpdateShapeToOutputDesc(shape, output_desc[i]), 
+    GE_CHK_STATUS_RET(UpdateShapeToOutputDesc(shape, output_desc[i]),
         "[Update][ShapeToOutputDesc] failed, output:%zu.", i);
     if (DumpManager::GetInstance().GetDumpProperties(kInferSessionId).IsSingleOpNeedDump()) {
       GE_CHK_STATUS_RET(op_desc_->UpdateOutputDesc(i, output_desc[i]), "[Update][OutputDesc] failed, output:%zu.", i);