!460 misra修改

Merge pull request !460 from 李正龙/master

parser/caffe/caffe_data_parser.cc

@@ -29,7 +29,7 @@ using domi::CAFFE;
 
 namespace ge {
 Status CaffeDataParser::GetOutputDesc(const string &name, const std::vector<int64_t> &input_dims,
-                                      const ge::OpDescPtr &op) {
+                                      const ge::OpDescPtr &op) const {
   GE_CHECK_NOTNULL(op);
   GELOGI("The input dim size is %zu in layer %s.", input_dims.size(), name.c_str());
 

parser/caffe/caffe_data_parser.h

@@ -45,7 +45,7 @@ class PARSER_FUNC_VISIBILITY CaffeDataParser : public CaffeOpParser, public Data
    * @return SUCCESS parse successfully
    * @return FAILED parse failed
    */
-  Status GetOutputDesc(const std::string &name, const std::vector<int64_t> &input_dims, const ge::OpDescPtr &op);
+  Status GetOutputDesc(const std::string &name, const std::vector<int64_t> &input_dims, const ge::OpDescPtr &op) const;
 
   // caffe data layer type could be type of `Input` or `DummyData`
   Status ParseParamsForInput(const domi::caffe::LayerParameter *layer, ge::OpDescPtr &op);

parser/caffe/caffe_parser.cc

@@ -512,7 +512,7 @@ Status CaffeModelParser::ReadModelWithoutWarning(const char *model_path, google:
   return SUCCESS;
 }
 
-Status CaffeModelParser::ReadCaffeModelFromText(const char *model_path, google::protobuf::Message *message) {
+Status CaffeModelParser::ReadCaffeModelFromText(const char *model_path, google::protobuf::Message *message) const {
   GE_CHECK_NOTNULL(model_path);
   GE_CHECK_NOTNULL(message);
   GELOGI("Start to read model file: %s.", model_path);
@@ -586,7 +586,7 @@ Status CaffeModelParser::ParseLayerParameter(const google::protobuf::Descriptor
 }
 
 Status CaffeModelParser::CreateCustomOperator(string op_name, string op_type, const google::protobuf::Message *message,
-                                              int index, vector<ge::Operator> &operators) {
+                                              int index, vector<ge::Operator> &operators) const {
   if (op_name.empty() || op_type.empty()) {
     REPORT_INNER_ERROR("E19999", "[Check][Param]Name or type of layer is empty, name: %s, type: %s.",
                        op_name.c_str(), op_type.c_str());
@@ -616,7 +616,7 @@ Status CaffeModelParser::CreateCustomOperator(string op_name, string op_type, co
   return SUCCESS;
 }
 
-void CaffeModelParser::AddOutputInfoToContext(string layer_name, int32_t top_index) {
+void CaffeModelParser::AddOutputInfoToContext(string layer_name, int32_t top_index) const {
   auto iter_node_name = ge::GetParserContext().out_nodes_map.find(layer_name);
   if (iter_node_name != ge::GetParserContext().out_nodes_map.end()) {
     iter_node_name->second.emplace_back(top_index);
@@ -705,7 +705,7 @@ Status CaffeModelParser::AddBlobsToMap(const domi::caffe::LayerParameter &layer,
   return SUCCESS;
 }
 
-bool CaffeModelParser::IsOpAttrEmpty(const ge::Operator &op, const std::string &type) {
+bool CaffeModelParser::IsOpAttrEmpty(const ge::Operator &op, const std::string &type) const {
   std::map<AscendString, AscendString> attrs;
   (void)op.GetAllAttrNamesAndTypes(attrs);
 
@@ -899,7 +899,7 @@ Status CaffeModelParser::AddNode(const domi::caffe::LayerParameter &layer, ge::C
   return SUCCESS;
 }
 
-Status CaffeModelParser::AddTensorDescToOpDesc(ge::OpDescPtr &op_desc, const domi::caffe::LayerParameter &layer) {
+Status CaffeModelParser::AddTensorDescToOpDesc(ge::OpDescPtr &op_desc, const domi::caffe::LayerParameter &layer) const {
   GE_CHECK_NOTNULL(op_desc);
   // Data node input and output tensordesc added in parserparam
   if (op_desc->GetType() == ge::parser::DATA) {
@@ -1069,7 +1069,7 @@ Status CaffeModelParser::AddEdges(ge::ComputeGraphPtr &graph) {
   return SUCCESS;
 }
 
-bool CaffeModelParser::IsOutputTop(const string &op_name, const int32_t index) {
+bool CaffeModelParser::IsOutputTop(const string &op_name, const int32_t index) const {
   bool ret = false;
   auto iter = ge::GetParserContext().out_nodes_map.find(op_name);
   if (iter != ge::GetParserContext().out_nodes_map.end()) {
@@ -1169,7 +1169,7 @@ Status CaffeModelParser::AddOutputTop(const domi::caffe::NetParameter &proto_mes
   return SUCCESS;
 }
 
-bool CaffeModelParser::CheckValidLayer(const domi::caffe::LayerParameter &layer) {
+bool CaffeModelParser::CheckValidLayer(const domi::caffe::LayerParameter &layer) const {
   if (layer.include_size() != 0) {
     bool filter_flag = false;
     for (int32_t j = 0; j < layer.include_size(); j++) {
@@ -1189,7 +1189,7 @@ bool CaffeModelParser::CheckValidLayer(const domi::caffe::LayerParameter &layer)
   return true;
 }
 
-bool CaffeModelParser::IsInplaceTopBlob(const domi::caffe::LayerParameter &layer, const std::string &top_name) {
+bool CaffeModelParser::IsInplaceTopBlob(const domi::caffe::LayerParameter &layer, const std::string &top_name) const {
   for (auto &bottom_name : layer.bottom()) {
     if (top_name == bottom_name) {
       return true;
@@ -1199,7 +1199,7 @@ bool CaffeModelParser::IsInplaceTopBlob(const domi::caffe::LayerParameter &layer
 }
 
 std::string CaffeModelParser::RemapTopNameByLayer(const domi::caffe::LayerParameter &layer, const std::string &top_name,
-                                                  int index) {
+                                                  int index) const {
   return (top_name + "_" + layer.name() + "_" + std::to_string(index));
 }
 
@@ -1294,7 +1294,7 @@ Status CaffeModelParser::ParseFromMemory(const char *data, uint32_t size, ge::Co
                           "[Check][Layer]layer phase is train, skip this layer, name:%s, type:%s.",
                           layer.name().c_str(), layer.type().c_str());
 
-    CHECK_FALSE_EXEC(!((layer.type() == ge::parser::DATA_TYPE) && (input_data_flag == true)), has_error = true;
+    CHECK_FALSE_EXEC(!((layer.type() == ge::parser::DATA_TYPE) && input_data_flag), has_error = true;
                      REPORT_INNER_ERROR("E19999", "net %s has input and data layer simultaneously, check invalid."
                                         "layer name:%s, layer type:%s", proto_message.name().c_str(),
                                         layer.name().c_str(), layer.type().c_str());
@@ -1516,7 +1516,7 @@ Status CaffeModelParser::Parse(const char *model_path, ge::ComputeGraphPtr &grap
                           "[Check][Layer]layer phase is train, skip this layer, name:%s, type:%s.",
                           layer.name().c_str(), layer.type().c_str());
 
-    CHECK_FALSE_EXEC(!((layer.type() == ge::parser::DATA_TYPE) && (input_data_flag == true)), has_error = true;
+    CHECK_FALSE_EXEC(!((layer.type() == ge::parser::DATA_TYPE) && input_data_flag), has_error = true;
                      GELOGE(FAILED, "[Check][Layer]net %s has input and data layer simultaneously, check invalid."
                             "layer name:%s, layer type:%s", proto_message.name().c_str(),
                             layer.name().c_str(), layer.type().c_str()));
@@ -1591,7 +1591,7 @@ Status CaffeModelParser::Parse(const char *model_path, ge::ComputeGraphPtr &grap
   return SUCCESS;
 }
 
-Status CaffeModelParser::FindShareParamLayers(const std::map<std::string, std::vector<std::string>> &layer_params_map) {
+Status CaffeModelParser::FindShareParamLayers(const std::map<std::string, std::vector<std::string>> &layer_params_map) const {
   for (auto p_iter = layer_params_map.begin(); p_iter != layer_params_map.end(); ++p_iter) {
     for (auto p2_iter = p_iter; p2_iter != layer_params_map.end(); ++p2_iter) {
       if (p_iter->first != p2_iter->first && p_iter->second == p2_iter->second) {
@@ -1625,7 +1625,7 @@ Status CaffeModelParser::ToJson(const char *model_file, const char *json_file) {
   return ModelSaver::SaveJsonToFile(json_file, j);
 }
 
-Status CaffeModelParser::ReorderInput(domi::caffe::NetParameter &net) {
+Status CaffeModelParser::ReorderInput(domi::caffe::NetParameter &net) const {
   int layer_size = net.layer_size();
   for (int i = 0; i < layer_size; ++i) {
     domi::caffe::LayerParameter *layer = net.mutable_layer(i);
@@ -2018,7 +2018,7 @@ Status CaffeWeightsParser::ConvertBlobsProto(const google::protobuf::Message *me
 }
 
 Status CaffeWeightsParser::ConvertBlobShapeProto(const google::protobuf::Message *message,
-                                                 google::protobuf::Message *dest_message) {
+                                                 google::protobuf::Message *dest_message) const {
   const google::protobuf::Reflection *reflection = message->GetReflection();
   CAFFE_CHECK_NULL_AND_REPROT_ERRORMSG(reflection, "Get Reflection failed in google::protobuf::Message");
   vector<const google::protobuf::FieldDescriptor *> field_desc;
@@ -2040,7 +2040,7 @@ Status CaffeWeightsParser::ConvertBlobShapeProto(const google::protobuf::Message
 }
 
 Status CaffeWeightsParser::ConvertConvParamProto(const google::protobuf::Message *message,
-                                                 google::protobuf::Message *dest_message) {
+                                                 google::protobuf::Message *dest_message) const {
   const google::protobuf::Reflection *reflection = message->GetReflection();
   CAFFE_CHECK_NULL_AND_REPROT_ERRORMSG(reflection, "Get Reflection failed in google::protobuf::Message");
   vector<const google::protobuf::FieldDescriptor *> field_desc;
@@ -2060,7 +2060,7 @@ Status CaffeWeightsParser::ConvertConvParamProto(const google::protobuf::Message
 }
 
 Status CaffeWeightsParser::ConvertInnerProdcutProto(const google::protobuf::Message *message,
-                                                    google::protobuf::Message *dest_message) {
+                                                    google::protobuf::Message *dest_message) const {
   const google::protobuf::Reflection *reflection = message->GetReflection();
   CAFFE_CHECK_NULL_AND_REPROT_ERRORMSG(reflection, "Get Reflection failed in google::protobuf::Message");
   vector<const google::protobuf::FieldDescriptor *> field_desc;
@@ -2079,7 +2079,7 @@ Status CaffeWeightsParser::ConvertInnerProdcutProto(const google::protobuf::Mess
   return SUCCESS;
 }
 
-Status CaffeWeightsParser::CheckLayersSize(const google::protobuf::Message *message) {
+Status CaffeWeightsParser::CheckLayersSize(const google::protobuf::Message *message) const {
   const google::protobuf::Reflection *reflection = message->GetReflection();
   CAFFE_CHECK_NULL_AND_REPROT_ERRORMSG(reflection, "Get Reflection failed in google::protobuf::Message");
   vector<const google::protobuf::FieldDescriptor *> field_desc;

parser/caffe/caffe_parser.h

@@ -56,17 +56,17 @@ static std::map<std::vector<std::string>, std::vector<std::string>> params_share
 class PARSER_FUNC_VISIBILITY CaffeModelParser : public domi::ModelParser {
  public:
   CaffeModelParser() {}
-  virtual ~CaffeModelParser() {}
+  virtual ~CaffeModelParser() override {}
 
   /**
    * @ingroup domi_omg
    * @brief Parse the relevant data from the model file and save it to graph
-   * @param [in] file Path of model file
+   * @param [in] model_path Path of model file
    * @param [in|out] graph graph for saving model information
    * @return SUCCESS parse successfully
    * @return FAILED parse failed
    */
-  Status Parse(const char *file, ge::Graph &graph) override;
+  Status Parse(const char *model_path, ge::Graph &graph) override;
 
   /**
    * @ingroup domi_omg
@@ -124,7 +124,7 @@ class PARSER_FUNC_VISIBILITY CaffeModelParser : public domi::ModelParser {
   }
 
  private:
-  Status Parse(const char *file, ge::ComputeGraphPtr &graph);
+  Status Parse(const char *model_path, ge::ComputeGraphPtr &graph);
 
   /**
    * @ingroup domi_omg
@@ -190,7 +190,7 @@ class PARSER_FUNC_VISIBILITY CaffeModelParser : public domi::ModelParser {
    * @return SUCCESS read file successfully
    * @return FAILED read file failed
    */
-  Status ReadCaffeModelFromText(const char *model_path, google::protobuf::Message *message);
+  Status ReadCaffeModelFromText(const char *model_path, google::protobuf::Message *message) const;
 
   /*
    * @ingroup domi_omg
@@ -216,7 +216,7 @@ class PARSER_FUNC_VISIBILITY CaffeModelParser : public domi::ModelParser {
    * @return FAILED create operator failed
    */
   Status CreateCustomOperator(std::string op_name, std::string op_type, const google::protobuf::Message *message,
-                              int index, std::vector<ge::Operator> &operators);
+                              int index, std::vector<ge::Operator> &operators) const;
   /**
    * @ingroup domi_omg
    * @brief Add blob information to the bottom_blobs_map and top_blobs_map_
@@ -259,7 +259,7 @@ class PARSER_FUNC_VISIBILITY CaffeModelParser : public domi::ModelParser {
    * @return true valid
    * @return false invalid
    */
-  bool CheckValidLayer(const domi::caffe::LayerParameter &layer);
+  bool CheckValidLayer(const domi::caffe::LayerParameter &layer) const;
 
   /**
    * @ingroup domi_omg
@@ -267,7 +267,7 @@ class PARSER_FUNC_VISIBILITY CaffeModelParser : public domi::ModelParser {
    * @return true is 'Inplace'
    * @return false not is 'Inplace'
    */
-  bool IsInplaceTopBlob(const domi::caffe::LayerParameter &layer, const std::string &top_name);
+  bool IsInplaceTopBlob(const domi::caffe::LayerParameter &layer, const std::string &top_name) const;
 
   /**
    * @ingroup domi_omg
@@ -275,7 +275,7 @@ class PARSER_FUNC_VISIBILITY CaffeModelParser : public domi::ModelParser {
    * @return true yes
    * @return false no
    */
-  bool IsOutputTop(const string &op_name, int32_t index);
+  bool IsOutputTop(const string &op_name, const int32_t index) const;
 
   /**
    * @ingroup domi_omg
@@ -284,29 +284,30 @@ class PARSER_FUNC_VISIBILITY CaffeModelParser : public domi::ModelParser {
    * @param [in|out] Layer set of the same param
    * @return Status
    */
-  Status FindShareParamLayers(const std::map<std::string, std::vector<std::string>> &);
+  Status FindShareParamLayers(const std::map<std::string, std::vector<std::string>> &layer_params_map) const;
 
-  Status AddTensorDescToOpDesc(ge::OpDescPtr &op_desc, const domi::caffe::LayerParameter &layer);
+  Status AddTensorDescToOpDesc(ge::OpDescPtr &op_desc, const domi::caffe::LayerParameter &layer) const;
 
   Status AddTensorDescToOpDescByIr(ge::OpDescPtr &op_desc, const domi::caffe::LayerParameter &layer,
                                    const string &op_type);
 
   Status AddUserOutNodesTop();
 
-  std::string RemapTopNameByLayer(const domi::caffe::LayerParameter &layer, const std::string &top_name, int index);
+  std::string RemapTopNameByLayer(const domi::caffe::LayerParameter &layer, const std::string &top_name,
+                                  int index) const;
 
   Status GetCustomOp(const domi::caffe::LayerParameter &layer, vector<ge::Operator> &operators);
 
-  bool IsOpAttrEmpty(const ge::Operator &op, const std::string &type);
+  bool IsOpAttrEmpty(const ge::Operator &op, const std::string &type) const;
 
   Status ParseOpParam(const domi::caffe::LayerParameter &layer, ge::OpDescPtr &op,
                       std::shared_ptr<ge::OpParser> &op_parser);
 
   void SaveOrigionLayerTops(domi::caffe::LayerParameter &layer);
 
-  Status ReorderInput(domi::caffe::NetParameter &net);
+  Status ReorderInput(domi::caffe::NetParameter &net) const;
 
-  void AddOutputInfoToContext(string layer_name, int32_t top_index);
+  void AddOutputInfoToContext(string layer_name, int32_t top_index) const;
 
   Status ParseOutputNodeTopInfo(const domi::caffe::NetParameter &proto_message);
 
@@ -357,8 +358,8 @@ class PARSER_FUNC_VISIBILITY CaffeWeightsParser : public domi::WeightsParser {
 
   Status Parse(const char *file, ge::ComputeGraphPtr &graph);
 
-  Status ParseWeightByFusionProto(const char *model_path, const string &custom_proto_path,
-                                  const string &custom_proto_name, ge::ComputeGraphPtr &graph);
+  Status ParseWeightByFusionProto(const char *weight_path, const string &fusion_proto_path,
+                                  const string &fusion_proto_name, ge::ComputeGraphPtr &graph);
 
   Status ParseLayerParameter(const google::protobuf::Descriptor *layer_descriptor,
                              const google::protobuf::Message *message,
@@ -367,7 +368,7 @@ class PARSER_FUNC_VISIBILITY CaffeWeightsParser : public domi::WeightsParser {
   Status ConvertLayerParameter(const google::protobuf::Message *layer_message,
                                ge::ComputeGraphPtr &graph);
 
-  Status CheckLayersSize(const google::protobuf::Message *message);
+  Status CheckLayersSize(const google::protobuf::Message *message) const;
 
   Status ConvertLayerProto(const google::protobuf::Message *message,
                            google::protobuf::Message *layer);
@@ -381,13 +382,13 @@ class PARSER_FUNC_VISIBILITY CaffeWeightsParser : public domi::WeightsParser {
                            google::protobuf::Message *blobs);
 
   Status ConvertBlobShapeProto(const google::protobuf::Message *message,
-                               google::protobuf::Message *dest_message);
+                               google::protobuf::Message *dest_message) const;
 
   Status ConvertInnerProdcutProto(const google::protobuf::Message *message,
-                                  google::protobuf::Message *dest_message);
+                                  google::protobuf::Message *dest_message) const;
 
   Status ConvertConvParamProto(const google::protobuf::Message *message,
-                               google::protobuf::Message *dest_message);
+                               google::protobuf::Message *dest_message) const;
   /**
    * @ingroup domi_omg
    * @brief Layer types to be ignored in weight resolution

parser/common/acl_graph_parser_util.cc

@@ -341,7 +341,7 @@ domi::Status AclGrphParseUtil::ParseAclOutputNodes(const string &out_nodes) {
   return SUCCESS;
 }
 
-domi::Status AclGrphParseUtil::ParseAclOutputFp16NodesFormat(const string &is_output_fp16) {
+domi::Status AclGrphParseUtil::ParseAclOutputFp16NodesFormat(const string &is_output_fp16) const {
   if (is_output_fp16.empty()) {
     return SUCCESS;
   }
@@ -365,7 +365,7 @@ domi::Status AclGrphParseUtil::ParseAclOutputFp16NodesFormat(const string &is_ou
   return SUCCESS;
 }
 
-domi::Status AclGrphParseUtil::ParseAclEnableScope(const string &enable_scope_fusion_passes) {
+domi::Status AclGrphParseUtil::ParseAclEnableScope(const string &enable_scope_fusion_passes) const {
   ge::GetParserContext().enable_scope_fusion_passes.clear();
   if (enable_scope_fusion_passes.empty()) {
     return SUCCESS;
@@ -387,7 +387,7 @@ void AclGrphParseUtil::AddAttrsForInputNodes(const vector<string> &adjust_fp16_f
 }
 
 domi::Status AclGrphParseUtil::ParseAclInputFp16Nodes(const ComputeGraphPtr &graph, const string &input_fp16_nodes,
-                                                      const string &is_input_adjust_hw_layout) {
+                                                      const string &is_input_adjust_hw_layout) const {
   GE_CHECK_NOTNULL(graph);
   vector<string> adjust_fp16_format_vec;
   if (!is_input_adjust_hw_layout.empty()) {
@@ -430,7 +430,7 @@ domi::Status AclGrphParseUtil::ParseAclInputFp16Nodes(const ComputeGraphPtr &gra
 }
 
 void AclGrphParseUtil::CreateOutputNodesInfo(std::vector<std::pair<ge::NodePtr, int32_t>> &output_nodes_info,
-                                             std::vector<std::string> &output_nodes_name) {
+                                             std::vector<std::string> &output_nodes_name) const {
   output_nodes_name.clear();
   auto &out_tensor_names = ge::GetParserContext().out_tensor_names;
   if (out_tensor_names.empty()) {
@@ -462,7 +462,7 @@ void AclGrphParseUtil::CreateOutputNodesInfo(std::vector<std::pair<ge::NodePtr,
 }
 
 domi::Status AclGrphParseUtil::GetOutputLeaf(NodePtr node,
-                                             std::vector<std::pair<ge::NodePtr, int32_t>> &output_nodes_info) {
+                                             std::vector<std::pair<ge::NodePtr, int32_t>> &output_nodes_info) const {
   ge::OpDescPtr tmpDescPtr = node->GetOpDesc();
   if (tmpDescPtr == nullptr) {
     REPORT_INNER_ERROR("E19999", "param node has no opdesc.");
@@ -576,7 +576,7 @@ domi::Status AclGrphParseUtil::SetOutputNodeInfo(ge::Graph &graph,
   return domi::SUCCESS;
 }
 
-domi::Status AclGrphParseUtil::CheckOptions(const std::map<AscendString, AscendString> &parser_params) {
+domi::Status AclGrphParseUtil::CheckOptions(const std::map<AscendString, AscendString> &parser_params) const {
   for (auto &ele : parser_params) {
     const char *key_ascend = ele.first.GetString();
     if (key_ascend == nullptr) {

parser/common/acl_graph_parser_util.h

@@ -48,18 +48,18 @@ class AclGrphParseUtil {
 
  private:
   bool parser_initialized = false;
-  domi::Status CheckOptions(const std::map<AscendString, AscendString> &parser_params);
-  domi::Status GetOutputLeaf(NodePtr node, std::vector<std::pair<ge::NodePtr, int32_t>> &output_nodes_info);
+  domi::Status CheckOptions(const std::map<AscendString, AscendString> &parser_params) const;
+  domi::Status GetOutputLeaf(NodePtr node, std::vector<std::pair<ge::NodePtr, int32_t>> &output_nodes_info) const;
   void CreateOutputNodesInfo(std::vector<std::pair<ge::NodePtr, int32_t>> &output_nodes_info,
-                             std::vector<std::string> &output_nodes_name);
+                             std::vector<std::string> &output_nodes_name) const;
   static void SetDefaultFormat();
   domi::Status ParseAclOutputNodes(const std::string &out_nodes);
-  domi::Status ParseAclOutputFp16NodesFormat(const std::string &is_output_fp16);
-  domi::Status ParseAclEnableScope(const std::string &enable_scope_fusion_passes);
+  domi::Status ParseAclOutputFp16NodesFormat(const std::string &is_output_fp16) const;
+  domi::Status ParseAclEnableScope(const std::string &enable_scope_fusion_passes) const;
   static void AddAttrsForInputNodes(const vector<string> &adjust_fp16_format_vec, const string &fp16_nodes_name,
                                     size_t index, OpDescPtr &op_desc);
   domi::Status ParseAclInputFp16Nodes(const ComputeGraphPtr &graph, const string &input_fp16_nodes,
-                                      const string &is_input_adjust_hw_layout);
+                                      const string &is_input_adjust_hw_layout) const;
   domi::Status GetDefaultOutInfo(ge::ComputeGraphPtr &compute_graph,
                                  std::vector<std::pair<ge::NodePtr, int32_t>> &output_nodes_info);
 };

parser/common/model_saver.cc

@@ -36,7 +36,7 @@ const uint32_t kInteval = 2;
 FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ModelSaver::SaveJsonToFile(const char *file_path,
                                                                                    const Json &model) {
   Status ret = SUCCESS;
-  if (file_path == nullptr || SUCCESS != CheckPath(file_path)) {
+  if ((file_path == nullptr) || (CheckPath(file_path) != SUCCESS)) {
     REPORT_INNER_ERROR("E19999", "param file_path is nullptr or checkpath not return success");
     GELOGE(FAILED, "[Check][Param]Check output file failed.");
     return FAILED;

parser/common/parser_fp16_t.cc

@@ -500,8 +500,8 @@ static uint16_t Fp16AddCalVal(uint16_t s_ret, int16_t e_ret, uint16_t m_ret, uin
   bool b_last_bit = ((m_ret & 1) > 0);
   bool b_trunc_high = 0;
   bool b_trunc_left = 0;
-  b_trunc_high = (TagFp16RoundMode::kRoundToNearest == g_round_mode) && ((m_trunc & kFp32SignMask) > 0);
-  b_trunc_left = (TagFp16RoundMode::kRoundToNearest == g_round_mode) && ((m_trunc & kFp32AbsMax) > 0);
+  b_trunc_high = (g_round_mode == TagFp16RoundMode::kRoundToNearest) && ((m_trunc & kFp32SignMask) > 0);
+  b_trunc_left = (g_round_mode == TagFp16RoundMode::kRoundToNearest) && ((m_trunc & kFp32AbsMax) > 0);
   m_ret = ManRoundToNearest(b_last_bit, b_trunc_high, b_trunc_left, m_ret, shift_out);
   while (m_ret >= m_max) {
     m_ret = m_ret >> 1;
@@ -623,8 +623,8 @@ static uint16_t Fp16Mul(uint16_t v_1, uint16_t v_2) {
   bool b_last_bit = ((mul_m & 1) > 0);
   bool b_trunc_high = 0;
   bool b_trunc_left = 0;
-  b_trunc_high = (TagFp16RoundMode::kRoundToNearest == g_round_mode) && ((m_trunc & kFp32SignMask) > 0);
-  b_trunc_left = (TagFp16RoundMode::kRoundToNearest == g_round_mode) && ((m_trunc & kFp32AbsMax) > 0);
+  b_trunc_high = (g_round_mode == TagFp16RoundMode::kRoundToNearest) && ((m_trunc & kFp32SignMask) > 0);
+  b_trunc_left = (g_round_mode == TagFp16RoundMode::kRoundToNearest) && ((m_trunc & kFp32AbsMax) > 0);
   mul_m = ManRoundToNearest(b_last_bit, b_trunc_high, b_trunc_left, mul_m);
 
   while (mul_m >= m_max || e_ret < 0) {
@@ -966,7 +966,7 @@ static void SetValByUint16Val(const uint16_t &input_val, const uint16_t &sign, u
       bool b_last_bit = ((m_tmp & 1) > 0);
       bool b_trunc_high = 0;
       bool b_trunc_left = 0;
-      if (TagFp16RoundMode::kRoundToNearest == g_round_mode) {  // trunc
+      if (g_round_mode == TagFp16RoundMode::kRoundToNearest) {  // trunc
         b_trunc_high = ((m_trunc & kFp32SignMask) > 0);
         b_trunc_left = ((m_trunc & kFp32AbsMax) > 0);
       }
@@ -1025,7 +1025,7 @@ fp16_t &fp16_t::operator=(const uint16_t &ui_val) {
       bool b_last_bit = ((m_ret & 1) > 0);
       bool b_trunc_high = 0;
       bool b_trunc_left = 0;
-      if (TagFp16RoundMode::kRoundToNearest == g_round_mode) {  // trunc
+      if (g_round_mode == TagFp16RoundMode::kRoundToNearest) {  // trunc
         b_trunc_high = ((m_trunc & kFp32SignMask) > 0);
         b_trunc_left = ((m_trunc & kFp32AbsMax) > 0);
       }
@@ -1069,7 +1069,7 @@ static void SetValByUint32Val(const uint32_t &input_val, const uint16_t &sign, u
     bool b_last_bit = ((m_tmp & 1) > 0);
     bool b_trunc_high = 0;
     bool b_trunc_left = 0;
-    if (TagFp16RoundMode::kRoundToNearest == g_round_mode) {  // trunc
+    if (g_round_mode == TagFp16RoundMode::kRoundToNearest) {  // trunc
       b_trunc_high = ((m_trunc & kFp32SignMask) > 0);
       b_trunc_left = ((m_trunc & kFp32AbsMax) > 0);
     }

parser/common/parser_types.cc

@@ -16,7 +16,7 @@
 #include "framework/omg/parser/parser_types.h"
 
 
-namespace ge{
+namespace ge {
 namespace parser {
 const char *DATA = "Data";
 const char *AIPPDATA = "AippData";

parser/common/proto_file_parser.cc

@@ -117,7 +117,7 @@ string GetMessageName(const std::string &line) {
 string CreatTmpName(int len) {
   std::uniform_int_distribution<int> u(kMinRandomNum, kMaxRandomNum);
   std::default_random_engine e;
-  e.seed(time(0));
+  e.seed(time(nullptr));
   string tmp_name = "";
   for (int i = 0; i < len; i++) {
     tmp_name += std::to_string(u(e));
@@ -200,7 +200,7 @@ Status ProtoFileParser::CreatProtoFile() {
 
 Status ProtoFileParser::ParseProtoFile(const string &proto_file,
                                        std::map<int, std::pair<string, string>> &identifier_op_map,
-                                       std::map<std::string, std::pair<int, string>> &op_identifier_map) {
+                                       std::map<std::string, std::pair<int, string>> &op_identifier_map) const {
   ifstream read_file;
   read_file.open(proto_file, std::ios::in);
   if (read_file.fail()) {

parser/common/proto_file_parser.h

@@ -34,7 +34,7 @@ private:
   Status CreatProtoFile();
   Status ParseProtoFile(const std::string &proto_file,
                         std::map<int, std::pair<std::string, std::string> > &identifier_op_map,
-                        std::map<std::string, std::pair<int, std::string> > &op_identifier_map);
+                        std::map<std::string, std::pair<int, std::string> > &op_identifier_map) const;
   Status WriteCaffeProtoFile(const char *custom_proto_file, std::ifstream &read_caffe,
                              std::ofstream &write_tmp) const;
   Status WriteProtoFile(const char *caffe_proto_file, const char *custom_proto_file);

parser/common/prototype_pass_manager.cc

@@ -25,7 +25,7 @@ ProtoTypePassManager &ProtoTypePassManager::Instance() {
   return instance;
 }
 
-Status ProtoTypePassManager::Run(google::protobuf::Message *message, const domi::FrameworkType &fmk_type) {
+Status ProtoTypePassManager::Run(google::protobuf::Message *message, const domi::FrameworkType &fmk_type) const {
   GE_CHECK_NOTNULL(message);
   const auto &pass_vec = ProtoTypePassRegistry::GetInstance().GetCreateFnByType(fmk_type);
   for (const auto &pass_item : pass_vec) {

parser/common/prototype_pass_manager.h

@@ -24,7 +24,7 @@ class ProtoTypePassManager {
  public:
   static ProtoTypePassManager &Instance();
 
-  Status Run(google::protobuf::Message *message, const domi::FrameworkType &fmk_type);
+  Status Run(google::protobuf::Message *message, const domi::FrameworkType &fmk_type) const;
 
   ~ProtoTypePassManager() = default;
 

parser/onnx/onnx_custom_parser_adapter.cc

@@ -44,7 +44,7 @@ Status OnnxCustomParserAdapter::ParseParams(const Message *op_src, ge::Operator
   return SUCCESS;
 }
 
-Status OnnxCustomParserAdapter::ParseParams(const Operator &op_src, Operator &op_dest) {
+Status OnnxCustomParserAdapter::ParseParams(const Operator &op_src, Operator &op_dest) const {
   ParseParamByOpFunc custom_op_parser = domi::OpRegistry::Instance()->GetParseParamByOperatorFunc(
       ParserUtils::GetOperatorType(op_src));
   GE_CHECK_NOTNULL(custom_op_parser);

parser/onnx/onnx_custom_parser_adapter.h

@@ -29,7 +29,7 @@ class PARSER_FUNC_VISIBILITY OnnxCustomParserAdapter : public OnnxOpParser {
   /// @return FAILED parse failed
   Status ParseParams(const Message *op_src, ge::Operator &op_dest) override;
 
-  Status ParseParams(const Operator &op_src, Operator &op_dest);
+  Status ParseParams(const Operator &op_src, Operator &op_dest) const;
 };
 }  // namespace ge
 

parser/onnx/onnx_parser.cc

@@ -140,7 +140,7 @@ graphStatus aclgrphParseONNXFromMem(const char *buffer, size_t size,
   }
 
   // parse caffe model_file to GE graph
-  ge::graphStatus ret = model_parser->ParseFromMemory(buffer, (uint32_t)size, graph);
+  ge::graphStatus ret = model_parser->ParseFromMemory(buffer, static_cast<uint32_t>(size), graph);
   if (ret != ge::SUCCESS) {
     REPORT_CALL_ERROR("E19999", "ParseFromMemory failed");
     GELOGE(ret, "[Parser][Graph] %s failed.", ParserUtils::GetGraphName(graph).c_str());
@@ -344,7 +344,7 @@ Status OnnxModelParser::ParseInput(const std::map<std::string, ge::onnx::TensorP
 }
 
 Status OnnxModelParser::ParseInitializer(ge::onnx::GraphProto &onnx_graph,
-                                         std::map<std::string, ge::onnx::TensorProto> &initializer_name_tensor) {
+                                         std::map<std::string, ge::onnx::TensorProto> &initializer_name_tensor) const {
   // Construct const node for weight
   int index = 0;
   for (auto it : initializer_name_tensor) {
@@ -362,7 +362,7 @@ Status OnnxModelParser::ParseInitializer(ge::onnx::GraphProto &onnx_graph,
   return SUCCESS;
 }
 
-void OnnxModelParser::UpdateAllNodeName(ge::onnx::GraphProto &onnx_graph) {
+void OnnxModelParser::UpdateAllNodeName(ge::onnx::GraphProto &onnx_graph) const {
   int index = 0;
   for (int i = 0; i < onnx_graph.node_size(); i++) {
     ge::onnx::NodeProto *node = onnx_graph.mutable_node(i);
@@ -443,7 +443,7 @@ Status OnnxModelParser::AdapterOpType(const ge::onnx::NodeProto *node_proto, std
 }
 
 Status OnnxModelParser::TransNodeToOperator(const ge::onnx::NodeProto *node_proto, ge::Operator &op,
-                                            const string &op_type) {
+                                            const string &op_type) const {
   GE_CHECK_NOTNULL(node_proto);
   string node_name = node_proto->name();
   op = ge::OperatorFactory::CreateOperator(node_name.c_str(), op_type.c_str());
@@ -560,7 +560,7 @@ Status OnnxModelParser::Prechecker(ge::onnx::GraphProto &onnx_graph) {
 }
 
 Status OnnxModelParser::ParseOpParam(const ge::onnx::NodeProto *node_proto, ge::Operator &op,
-                                     std::shared_ptr<OpParser> &op_parser) {
+                                     std::shared_ptr<OpParser> &op_parser) const {
   GE_CHECK_NOTNULL(node_proto);
   GE_CHECK_NOTNULL(op_parser);
   std::string op_type = node_proto->op_type();
@@ -707,7 +707,7 @@ Status OnnxModelParser::GetGraphOutputs(std::vector<std::pair<Operator, std::vec
   return SUCCESS;
 }
 
-Status OnnxModelParser::GetModelFromFile(const char *file, ge::onnx::ModelProto &onnx_model) {
+Status OnnxModelParser::GetModelFromFile(const char *file, ge::onnx::ModelProto &onnx_model) const {
   GE_CHECK_NOTNULL(file);
   GELOGI("File path is %s.", file);
 
@@ -720,7 +720,7 @@ Status OnnxModelParser::GetModelFromFile(const char *file, ge::onnx::ModelProto
   return SUCCESS;
 }
 
-Status OnnxModelParser::GetModelFromMemory(const char *data, uint32_t size, ge::onnx::ModelProto &onnx_model) {
+Status OnnxModelParser::GetModelFromMemory(const char *data, uint32_t size, ge::onnx::ModelProto &onnx_model) const {
   GE_CHECK_NOTNULL(data);
 
   // 1. Get graph from onnx model file.
@@ -741,7 +741,7 @@ void OnnxModelParser::ClearMembers() {
 }
 
 Status OnnxModelParser::AdaptAndFindAllOnnxGraph(ge::onnx::GraphProto &root_onnx_graph,
-                                                 std::map<std::string, ge::onnx::GraphProto *> &name_to_onnx_graph) {
+                                                 std::map<std::string, ge::onnx::GraphProto *> &name_to_onnx_graph) const {
   std::queue<ge::onnx::GraphProto *> onnx_graph_tasks;
   int index = 0;
   onnx_graph_tasks.push(&root_onnx_graph);
@@ -1040,7 +1040,7 @@ ge::DataType OnnxModelParser::ConvertToGeDataType(const uint32_t type) {
   return ge::OnnxUtil::ConvertOnnxDataType(type);
 }
 
-void OnnxModelParser::UpdateDataFormat(ge::Graph &graph) {
+void OnnxModelParser::UpdateDataFormat(ge::Graph &graph) const {
   for (GNode &gn : graph.GetDirectNode()) {
     AscendString type;
     (void)gn.GetType(type);

parser/onnx/onnx_parser.h

@@ -90,15 +90,15 @@ class PARSER_FUNC_VISIBILITY OnnxModelParser : public domi::ModelParser {
   Status ParseOutput(ge::onnx::GraphProto &onnx_graph);
 
   Status ParseInitializer(ge::onnx::GraphProto &onnx_graph,
-                          std::map<std::string, ge::onnx::TensorProto> &initializer_name_tensor);
+                          std::map<std::string, ge::onnx::TensorProto> &initializer_name_tensor) const;
 
-  void UpdateAllNodeName(ge::onnx::GraphProto &onnx_graph);
+  void UpdateAllNodeName(ge::onnx::GraphProto &onnx_graph) const;
 
   Status ConstructOriType(const ge::onnx::NodeProto *node_proto, std::string &ori_type);
 
   Status AdapterOpType(const ge::onnx::NodeProto *node_proto, std::string &ori_type, std::string &om_type);
 
-  Status TransNodeToOperator(const ge::onnx::NodeProto *node_proto, ge::Operator &op, const string &op_type);
+  Status TransNodeToOperator(const ge::onnx::NodeProto *node_proto, ge::Operator &op, const string &op_type) const;
 
   Status ConstructInputOutputContext(const ge::onnx::NodeProto *node_proto);
 
@@ -111,22 +111,23 @@ class PARSER_FUNC_VISIBILITY OnnxModelParser : public domi::ModelParser {
 
   Status Prechecker(ge::onnx::GraphProto &onnx_graph);
   
-  Status GetModelFromFile(const char *file, ge::onnx::ModelProto &onnx_model);
+  Status GetModelFromFile(const char *file, ge::onnx::ModelProto &onnx_model) const;
 
-  Status GetModelFromMemory(const char *data, uint32_t size, ge::onnx::ModelProto &onnx_model);
+  Status GetModelFromMemory(const char *data, uint32_t size, ge::onnx::ModelProto &onnx_model) const;
 
   Status ModelParseToGraph(const ge::onnx::ModelProto &onnx_model, ge::Graph &graph);
 
   Status ModelParseToGraphImpl(bool is_subgraph, ge::onnx::GraphProto &onnx_graph, ge::Graph &graph);
 
-  void UpdateDataFormat(ge::Graph &graph);
+  void UpdateDataFormat(ge::Graph &graph) const;
 
   void ClearMembers();
 
-  Status ParseOpParam(const ge::onnx::NodeProto *node_proto, ge::Operator &op, std::shared_ptr<OpParser> &op_parser);
+  Status ParseOpParam(const ge::onnx::NodeProto *node_proto, ge::Operator &op,
+                      std::shared_ptr<OpParser> &op_parser) const;
 
   Status AdaptAndFindAllOnnxGraph(ge::onnx::GraphProto &root_onnx_graph,
-                                  std::map<std::string, ge::onnx::GraphProto *> &name_to_onnx_graph);
+                                  std::map<std::string, ge::onnx::GraphProto *> &name_to_onnx_graph) const;
 
   Status SetOutputsInfo(const ParserUtils::OutputMapping &final_output_nodes,
                         const ParserUtils::OutputMapping &tensor_to_nodes);

parser/onnx/subgraph_adapter/if_subgraph_adapter.cc

@@ -90,7 +90,7 @@ domi::Status IfSubgraphAdapter::ParseIfNodeSubgraphs(
 }
 
 domi::Status IfSubgraphAdapter::GetSubgraphsAllInputs(ge::onnx::GraphProto &onnx_graph,
-                                                      std::set<std::string> &all_inputs) {
+                                                      std::set<std::string> &all_inputs) const {
   std::set<std::string> graph_inputs;
   std::set<std::string> graph_outputs;
   for (int i = 0; i < onnx_graph.node_size(); i++) {
@@ -115,7 +115,7 @@ domi::Status IfSubgraphAdapter::GetSubgraphsAllInputs(ge::onnx::GraphProto &onnx
 }
 
 void IfSubgraphAdapter::AddInputNodeForGraph(const std::set<std::string> &all_inputs,
-                                             ge::onnx::GraphProto &onnx_graph) {
+                                             ge::onnx::GraphProto &onnx_graph) const {
   for (const auto &input_name : all_inputs) {
     ge::onnx::ValueInfoProto *value_info = onnx_graph.add_input();
     value_info->set_name(input_name);
@@ -123,7 +123,7 @@ void IfSubgraphAdapter::AddInputNodeForGraph(const std::set<std::string> &all_in
 }
 
 void IfSubgraphAdapter::AddInputForParentNode(const std::set<std::string> &all_inputs,
-                                              ge::onnx::NodeProto &parent_node) {
+                                              ge::onnx::NodeProto &parent_node) const {
   for (const auto &input_name : all_inputs) {
     parent_node.add_input(input_name);
   }

parser/onnx/subgraph_adapter/if_subgraph_adapter.h

@@ -31,9 +31,9 @@ class PARSER_FUNC_VISIBILITY IfSubgraphAdapter : public SubgraphAdapter {
  private:
   domi::Status ParseIfNodeSubgraphs(ge::onnx::NodeProto *parent_node, std::vector<ge::onnx::GraphProto *> &onnx_graphs,
                                     std::map<std::string, ge::onnx::GraphProto *> &name_to_onnx_graph);
-  domi::Status GetSubgraphsAllInputs(ge::onnx::GraphProto &onnx_graph, std::set<std::string> &all_inputs);
-  void AddInputNodeForGraph(const std::set<std::string> &all_inputs, ge::onnx::GraphProto &onnx_graph);
-  void AddInputForParentNode(const std::set<std::string> &all_inputs, ge::onnx::NodeProto &parent_node);
+  domi::Status GetSubgraphsAllInputs(ge::onnx::GraphProto &onnx_graph, std::set<std::string> &all_inputs) const;
+  void AddInputNodeForGraph(const std::set<std::string> &all_inputs, ge::onnx::GraphProto &onnx_graph) const;
+  void AddInputForParentNode(const std::set<std::string> &all_inputs, ge::onnx::NodeProto &parent_node) const;
 };
 }  // namespace ge
 

parser/onnx/subgraph_adapter/subgraph_adapter_factory.cc

@@ -17,7 +17,7 @@
 #include "subgraph_adapter_factory.h"
 #include "framework/common/debug/ge_log.h"
 
-namespace ge{
+namespace ge {
 SubgraphAdapterFactory* SubgraphAdapterFactory::Instance() {
   static SubgraphAdapterFactory instance;
   return &instance;

parser/tensorflow/graph_functiondef.cc

@@ -78,7 +78,7 @@ string NameMapHelper::UniqueNodeName(const string &name) {
 
 string NameMapHelper::Renormalize(const string &name) const {
   const auto iter = name_mapping_.find(name);
-  if (iter == name_mapping_.end()) return string();
+  if (iter == name_mapping_.end()) {return string();}
   return iter->second;
 }
 

parser/tensorflow/graph_optimizer.cc

@@ -301,7 +301,7 @@ Status ParserGraphOptimizer::InsertNode(ge::ComputeGraphPtr sub_graph, vector<ge
         vector<ge::NodePtr>::iterator iter = find(nodes.begin(), nodes.end(), peer_in_anchor->GetOwnerNode());
         GE_IF_BOOL_EXEC(iter == nodes.end(), output_in_map[out_anchor].emplace_back(peer_in_anchor); hasOutNode = true);
       }
-      GE_IF_BOOL_EXEC(hasOutNode == true, output_anchors.emplace_back(out_anchor));
+      GE_IF_BOOL_EXEC(hasOutNode, output_anchors.emplace_back(out_anchor));
     }
 
     InControlAnchorPtr node_in_control = node->GetInControlAnchor();
@@ -381,7 +381,7 @@ Status ParserGraphOptimizer::RebuildOutputAnchors(vector<ge::OutDataAnchorPtr> &
     GE_CHK_BOOL_EXEC(fusion_op_desc->AddOutputDesc(src_out_desc) == ge::GRAPH_SUCCESS, return FAILED);
 
     ge::DataType data_type = src_out_desc.GetDataType();
-    auto iter = GE_TENSORFLOW_DATA_TYPE_MAP.find((int32_t)data_type);
+    std::map<int32_t, int32_t>::const_iterator iter = GE_TENSORFLOW_DATA_TYPE_MAP.find((int32_t)data_type);
     GE_IF_BOOL_EXEC(
         iter == GE_TENSORFLOW_DATA_TYPE_MAP.end(),
         REPORT_INNER_ERROR("E19999", "datatype:%d of output:%d in node:%s:%s is not supported",
@@ -417,7 +417,7 @@ Status ParserGraphOptimizer::RebuildInputAnchors(vector<ge::InDataAnchorPtr> &in
                                    return FAILED,
                                    "Add fusion_op_desc AddInputDesc failed");
     ge::DataType data_type = tensorDescPtr->GetDataType();
-    auto iter = GE_TENSORFLOW_DATA_TYPE_MAP.find((int32_t)data_type);
+    std::map<int32_t, int32_t>::const_iterator iter = GE_TENSORFLOW_DATA_TYPE_MAP.find((int32_t)data_type);
     GE_IF_BOOL_EXEC(
         iter == GE_TENSORFLOW_DATA_TYPE_MAP.end(),
         REPORT_INNER_ERROR("E19999", "datatype:%d of input:%d in node:%s:%s is not supported",

parser/tensorflow/tensorflow_arg_parser.cc

@@ -37,8 +37,8 @@ Status ParseParams(const Message *op_src, ArgOpOperator *const op) {
   domi::tensorflow::AttrValue output_attr_value;
   if (TensorFlowUtil::FindAttrValue(node, ge::ATTR_NAME_OUTPUT_TENSOR_DESC, output_attr_value)) {
     GE_CHK_STATUS_RET(
-      TensorFlowUtil::TransTensorDescriptor(output_attr_value, op, TENSORFLOW_NORMAL_OUTPUT_TENSOR_FLAG),
-      "trans output_attr_value failed, op: %s", node->name().c_str());
+        TensorFlowUtil::TransTensorDescriptor(output_attr_value, op, TENSORFLOW_NORMAL_OUTPUT_TENSOR_FLAG),
+        "trans output_attr_value failed, op: %s", node->name().c_str());
     // For the needs of the Data operator, copy the output description to the input description
     GE_CHK_STATUS_RET(TensorFlowUtil::TransTensorDescriptor(output_attr_value, op, TENSORFLOW_NORMAL_INPUT_TENSOR_FLAG),
                       "trans output_attr_value failed, op: %s", node->name().c_str());

parser/tensorflow/tensorflow_frameworkop_parser.cc

@@ -40,8 +40,8 @@ Status ParseParams(const Message *op_src, FrameworkOpOperator *op) {
   domi::tensorflow::AttrValue output_attr_value;
   if (TensorFlowUtil::FindAttrValue(node, ge::ATTR_NAME_INPUT_TENSOR_DESC, input_attr_value)) {
     GE_CHK_STATUS_RET(
-      TensorFlowUtil::TransTensorDescriptor(input_attr_value, op, TENSORFLOW_NORMAL_INPUT_TENSOR_FLAG, type),
-      "trans input_attr_value failed, op: %s", node->name().c_str());
+        TensorFlowUtil::TransTensorDescriptor(input_attr_value, op, TENSORFLOW_NORMAL_INPUT_TENSOR_FLAG, type),
+        "trans input_attr_value failed, op: %s", node->name().c_str());
   } else {
     GELOGD("Frameworkop has no input tensor desc, name:%s, type:%s.", node->name().c_str(), type.c_str());
     /// _Retval constructed from inference function do not has input_tensor_dec
@@ -53,8 +53,8 @@ Status ParseParams(const Message *op_src, FrameworkOpOperator *op) {
   }
   if (TensorFlowUtil::FindAttrValue(node, ge::ATTR_NAME_OUTPUT_TENSOR_DESC, output_attr_value)) {
     GE_CHK_STATUS_RET(
-      TensorFlowUtil::TransTensorDescriptor(output_attr_value, op, TENSORFLOW_NORMAL_OUTPUT_TENSOR_FLAG, type),
-      "trans output_attr_value failed, op: %s", node->name().c_str());
+        TensorFlowUtil::TransTensorDescriptor(output_attr_value, op, TENSORFLOW_NORMAL_OUTPUT_TENSOR_FLAG, type),
+        "trans output_attr_value failed, op: %s", node->name().c_str());
   } else {
     GELOGD("Frameworkop has no output tensor desc, name:%s, type:%s.", node->name().c_str(), type.c_str());
   }

parser/tensorflow/tensorflow_fusion_custom_parser_adapter.cc

@@ -25,7 +25,7 @@ using domi::FusionParseParamByOpFunc;
 
 namespace ge {
 Status TensorFlowFusionCustomParserAdapter::ParseParams(const vector<const NodeDef *> &v_input_const,
-                                                        ge::NodePtr &node) {
+                                                        ge::NodePtr &node) const {
   GE_CHECK_NOTNULL(node);
   auto op_dest = node->GetOpDesc();
   GE_CHECK_NOTNULL(op_dest);

parser/tensorflow/tensorflow_fusion_custom_parser_adapter.h

@@ -31,7 +31,7 @@ class PARSER_FUNC_VISIBILITY TensorFlowFusionCustomParserAdapter : public Tensor
   * @return FAILED parse failed
   * @author
   */
-  Status ParseParams(const vector<const NodeDef *> &v_input_const, ge::NodePtr &node) override;
+  Status ParseParams(const vector<const NodeDef *> &v_input_const, ge::NodePtr &node) const override;
 
   /**
   * @ingroup domi_parser

parser/tensorflow/tensorflow_fusion_op_parser.cc

@@ -75,7 +75,7 @@ Status TensorFlowFusionOpParser::GetTensorFromNode(const NodeDef *node_def, Tens
   return SUCCESS;
 }
 
-Status TensorFlowFusionOpParser::ParseParams(const std::vector<const NodeDef *> &v_input_const, NodePtr &op_dest) {
+Status TensorFlowFusionOpParser::ParseParams(const std::vector<const NodeDef *> &v_input_const, NodePtr &op_dest) const {
   (void)v_input_const;
   (void)op_dest;
   return SUCCESS;

parser/tensorflow/tensorflow_fusion_op_parser.h

@@ -44,7 +44,7 @@ class PARSER_FUNC_VISIBILITY TensorFlowFusionOpParser : public TensorFlowOpParse
    * @return SUCCESS Parsing success
    * @return FAILED Parsing failed
    */
-  virtual Status ParseParams(const std::vector<const NodeDef *> &v_input_const, ge::NodePtr &node);
+  virtual Status ParseParams(const std::vector<const NodeDef *> &v_input_const, ge::NodePtr &node) const;
 
   /**
    * @ingroup domi_omg

parser/tensorflow/tensorflow_parser.cc

@@ -494,7 +494,7 @@ Status TensorFlowModelParser::AddNode(const domi::tensorflow::NodeDef *node_def,
   // node is released in destructor
   string node_name = node_def->name();
   string node_op = node_def->op();
-  auto type_it = tensorflow_op_map.find(node_op);
+  std::map<std::string, std::string>::const_iterator type_it = tensorflow_op_map.find(node_op);
   if (type_it == tensorflow_op_map.end()) {
     GELOGI("Can not find,maybe this node has no plugin node_name is %s, node_op is %s ", node_name.c_str(),
            node_op.c_str());
@@ -553,7 +553,7 @@ Status TensorFlowModelParser::AddNode(const domi::tensorflow::NodeDef *node_def,
     shared_ptr<OpParser> fusion_op_parser = factory->CreateFusionOpParser(op_type);
     GE_CHECK_NOTNULL(fusion_op_parser);
     // Find all children of the fusion operator
-    auto iter = fusion_op_nodedef_map_.find(node_def->name());
+    std::map<string, vector<const NodeDef *>>::const_iterator iter = fusion_op_nodedef_map_.find(node_def->name());
     if (iter == fusion_op_nodedef_map_.end()) {
       REPORT_INNER_ERROR("E19999", "FusionOp node %s has no children node, check invalid", node_name.c_str());
       GELOGE(FAILED, "FusionOp node %s has no children node!", node_name.c_str());
@@ -756,7 +756,7 @@ Status TensorFlowModelParser::AddEdges(ge::ComputeGraphPtr &graph) {
       }
       // Find that the output of the source node is equal to the destination node
       std::map<std::string, std::vector<std::pair<int32_t, int32_t>>> &dest_input_map = dest_iter->second.input_map;
-      auto input_iter = dest_input_map.find(src_op_name);
+      std::map<std::string, std::vector<std::pair<int32_t, int32_t>>>::const_iterator input_iter = dest_input_map.find(src_op_name);
       // Find output and input
       if (input_iter == dest_input_map.end()) {
         continue;
@@ -919,7 +919,7 @@ Status TensorFlowModelParser::ParseNodeDef(TensorFlowModelParser *parser, ge::Co
     return AddScopeInnerNode(parser, graph, graphMutex, node_def);
   }
 
-  auto iterator = parser->adaptedOpTypeMap_.find(node_name);
+  std::map<std::string, std::string>::const_iterator iterator = parser->adaptedOpTypeMap_.find(node_name);
   GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
       iterator == parser->adaptedOpTypeMap_.end(),
       REPORT_INNER_ERROR("E19999", "get adapted op type failed, node name = %s", node_name.c_str());
@@ -1374,7 +1374,7 @@ Status TensorFlowModelParser::Parse(const char *model_path, ge::ComputeGraphPtr
         }
       }
 
-      auto iter = function_name_to_graphdef.find(arg.function_name);
+      std::map<std::string, domi::tensorflow::GraphDef>::const_iterator iter = function_name_to_graphdef.find(arg.function_name);
       if (iter == function_name_to_graphdef.end()) {
         ErrorManager::GetInstance().ATCReportErrMessage("E12013", {"functionname"}, {arg.function_name});
         GELOGE(FAILED, "Failed to get subgraph by function name %s", arg.function_name.c_str());
@@ -1866,7 +1866,7 @@ Status TensorFlowModelParser::UpdateAllNodeOpContext(shared_ptr<ge::ScopeGraph>
       ge::ScopeFusionOpInfo info;
       if (IsFusionOpChild(op_node_name, &info) && nodedef_map_[op_node_name]->op() != TENSORFLOWF_NODE_OP_CONST) {
         // This node is a fusion operator
-        auto fusion_iter = tmp_fusion_op_node_context_map.find(info.fusion_node_name);
+        std::map<std::string, OpNodeContext>::const_iterator fusion_iter = tmp_fusion_op_node_context_map.find(info.fusion_node_name);
         if (fusion_iter == tmp_fusion_op_node_context_map.end()) {
           OpNodeContext op_node_context;
           tmp_fusion_op_node_context_map[info.fusion_node_name] = op_node_context;
@@ -2116,7 +2116,7 @@ Status TensorFlowModelParser::NormalizeInputOrOutputMap(
       }
 
       string name = to_string(pair.first) + ":" + to_string(pair.second);
-      auto compare_iter = compare_set.find(name);
+      std::set<std::string>::const_iterator compare_iter = compare_set.find(name);
       if (compare_iter != compare_set.end()) {
         // pair<from,to> repeat, ignore
         continue;
@@ -2155,7 +2155,7 @@ void TensorFlowModelParser::SaveEdgesControlInfo(const string &node_name, const
 }
 
 void TensorFlowModelParser::UpdateEdgesControlInfo(const ge::ScopeFusionOpInfo &info) {
-  auto iter = edges_control_map.find(info.node_name);
+  std::map<std::string, std::vector<int32_t>>::const_iterator iter = edges_control_map.find(info.node_name);
   if (iter != edges_control_map.end()) {
     // Delete the original fusion operator node information and add the fusion operator control edge information
     edges_control_map.erase(iter);
@@ -2479,7 +2479,7 @@ Status TensorFlowModelParser::OptimizeIdentityByOutput(map<string, NodeDef *> &n
       return INTERNAL_ERROR, "Can't find op node context.");
   OpNodeContext op_node_context = context_iter->second;
 
-  auto node_def_iter = nodedef_map.find(curr_node_name);
+  std::map<std::string, NodeDef *>::const_iterator node_def_iter = nodedef_map.find(curr_node_name);
   GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
       (node_def_iter == nodedef_map.end()),
       REPORT_INNER_ERROR("E19999", "Node:%s can't find in nodedef_map, check invalid", curr_node_name.c_str());
@@ -2809,7 +2809,7 @@ Status GetTransposeInfo(GraphDef *graph_def, std::map<std::string, std::string>
 
 Status EraseTransposeNode(std::map<std::string, std::string> &softmaxInfo,
                           std::map<std::string, DelTransposeInfo> &transposeInfo) {
-  auto itTranspose = transposeInfo.begin();
+  std::map<std::string, DelTransposeInfo>::const_iterator itTranspose = transposeInfo.begin();
   for (; itTranspose != transposeInfo.end();) {
     // transpose --> softmax
     bool bErase = true;
@@ -3144,7 +3144,7 @@ Status TensorFlowModelParser::TrimGraphByInput(const domi::tensorflow::GraphDef
       const ge::ParserContext &ctx = ge::GetParserContext();
       std::map<std::string, std::vector<int64_t>> input_dims = ctx.input_dims;
       std::vector<int64_t> designated_dims = input_dims.at(node.name());
-      for (int32_t i = 0; i < (int32_t)designated_dims.size(); i++) {
+      for (int32_t i = 0; i < static_cast<int32_t>(designated_dims.size()); i++) {
         data_shape->add_dim()->set_size(designated_dims[i]);
       }
       google::protobuf::Map<std::string, domi::tensorflow::AttrValue> *attr = placeholder_node.mutable_attr();
@@ -3217,7 +3217,7 @@ Status TensorFlowModelParser::TrimGraphByOutput(const domi::tensorflow::GraphDef
       const ge::ParserContext &ctx = ge::GetParserContext();
       std::map<std::string, std::vector<int64_t>> input_dims = ctx.input_dims;
       std::vector<int64_t> designated_dims = input_dims.at(node.name());
-      for (int32_t i = 0; i < (int32_t)designated_dims.size(); i++) {
+      for (int32_t i = 0; i < static_cast<int32_t>(designated_dims.size()); i++) {
         data_shape->add_dim()->set_size(designated_dims[i]);
       }
       google::protobuf::Map<std::string, domi::tensorflow::AttrValue> *attr = placeholder_node.mutable_attr();
@@ -3425,7 +3425,7 @@ Status TensorFlowModelParser::OptimizeConstNodes4CustomOp(domi::tensorflow::Grap
 Status TensorFlowModelParser::AddControlEdgeAfterRemoveInputs(domi::tensorflow::GraphDef *graph_def,
                                                               domi::tensorflow::NodeDef *node_def,
                                                               const map<string, NodeDef *> &all_node_map,
-                                                              const vector<string> &removed_inputs_vec) {
+                                                              const vector<string> &removed_inputs_vec) const {
   GE_CHECK_NOTNULL(graph_def);
   GE_CHECK_NOTNULL(node_def);
   for (const auto &remove_input : removed_inputs_vec) {
@@ -3513,7 +3513,7 @@ Status TensorFlowModelParser::RemoveInputs(domi::tensorflow::GraphDef *graph_def
 }
 
 void TensorFlowModelParser::RemoveInputAttr(domi::tensorflow::NodeDef *node_def,
-                                            const map<string, vector<int>> &remove_inputs_map) {
+                                            const map<string, vector<int>> &remove_inputs_map) const {
   // The caller guarantees that the pointer is not null
   auto *inputs = node_def->mutable_input();
   google::protobuf::Map<std::string, domi::tensorflow::AttrValue> *attr_map = node_def->mutable_attr();

parser/tensorflow/tensorflow_parser.h

@@ -570,9 +570,9 @@ class PARSER_FUNC_VISIBILITY TensorFlowModelParser : public domi::ModelParser {
   Status AddControlEdgeAfterRemoveInputs(domi::tensorflow::GraphDef *graph_def,
                                          domi::tensorflow::NodeDef *node_def,
                                          const map<string, NodeDef *> &all_node_map,
-                                         const vector<string> &removed_inputs_vec);
+                                         const vector<string> &removed_inputs_vec) const;
 
-  void RemoveInputAttr(domi::tensorflow::NodeDef *node_def, const map<string, vector<int>> &remove_inputs_map);
+  void RemoveInputAttr(domi::tensorflow::NodeDef *node_def, const map<string, vector<int>> &remove_inputs_map) const;
 
   /**
   * @ingroup domi_omg

parser/tensorflow/tensorflow_reshape_parser.cc

@@ -74,11 +74,11 @@ Status TensorFlowReshapeParser::ParseParams(const Message *op_src, ge::OpDescPtr
       ge::GeTensorDesc output_desc;
 
       if (TensorFlowUtil::FindAttrValue(node_src, ge::ATTR_NAME_INPUT_TENSOR_DESC, input_attr_value)) {
-        GE_CHK_BOOL_RET_STATUS(SUCCESS == ParseDesc(input_attr_value, input_desc), FAILED, "parse input desc failed");
+        GE_CHK_BOOL_RET_STATUS(ParseDesc(input_attr_value, input_desc) == SUCCESS, FAILED, "parse input desc failed");
       }
 
       if (TensorFlowUtil::FindAttrValue(node_src, ge::ATTR_NAME_OUTPUT_TENSOR_DESC, output_attr_value)) {
-        GE_CHK_BOOL_RET_STATUS(SUCCESS == ParseDesc(output_attr_value, output_desc), FAILED,
+        GE_CHK_BOOL_RET_STATUS(ParseDesc(output_attr_value, output_desc) == SUCCESS, FAILED,
                                "parse output desc failed");
       }