!653 sync ge_dev to master 20220902

Merge pull request !653 from 王笑天/ge_dev

metadef

@@ -1 +1 @@
-Subproject commit 5d062a35640733026457c91966a558769570b0f8
+Subproject commit f5c1b6d1b6b6e97d0cfcf2efd52ec8da12d32c86

parser/CMakeLists.txt

@@ -22,18 +22,18 @@ set(SRC_LIST
     "caffe/caffe_custom_parser_adapter.cc"
     "caffe/caffe_op_parser.cc"
     "tensorflow/scope/scope_pass_manager.cc"
-    "tensorflow/graph_functiondef.cc"
-    "tensorflow/graph_optimizer.cc"
+    "tensorflow/graph_to_function_def.cc"
+    "tensorflow/parser_graph_optimizer.cc"
     "tensorflow/iterator_fusion_pass.cc"
-    "common/op_def/arg_op.cc"
-    "common/op_def/constant_op.cc"
-    "common/op_def/fill_op.cc"
-    "common/op_def/frameworkop_op.cc"
-    "common/op_def/no_op_op.cc"
-    "common/op_def/ref_switch_op.cc"
-    "common/op_def/shape_n_op.cc"
-    "common/op_def/var_is_initialized_op_op.cc"
-    "common/op_def/variable_op.cc"
+    "common/op_def/arg_op_operator.cc"
+    "common/op_def/constant_operator.cc"
+    "common/op_def/fill_operator.cc"
+    "common/op_def/framework_op_operator.cc"
+    "common/op_def/no_op_operator.cc"
+    "common/op_def/ref_switch_operator.cc"
+    "common/op_def/shape_n_operator.cc"
+    "common/op_def/var_is_initialized_op_operator.cc"
+    "common/op_def/variable_operator.cc"
 )
 
 ############ libfmk_parser.so ############

parser/caffe/caffe_parser.cc

@@ -236,14 +236,8 @@ const char *const kFieldInnerPro = "inner_product_param";
 const char *const kFieldDim = "dim";
 const char *const kFieldBiasTerm = "bias_term";
 const char *const kDevNull = "/dev/null";
-const std::string kMessage = "message";
-const std::string kLayerParameter = "LayerParameter";
-const std::string kCloseBrace = "}";
-const std::string kOptional = "optional";
-const std::string kRepeated = "repeated";
-const std::string kRequired = "required";
-const std::string kCustom = "custom";
-const std::string kBuiltin = "built-in";
+const char *const kCustom = "custom";
+const char *const kBuiltin = "built-in";
 std::vector<std::string> kAddTensorIrSkipNodes = {ge::parser::DATA, ge::parser::YOLODETECTIONOUTPUT,
                                                   ge::parser::NETOUTPUT};
 const std::set<std::string> kCustomProtoLayerCommonField = {"name", "type"};
@@ -284,104 +278,104 @@ const set<string> CaffeWeightsParser::skiped_layer_type_ = {"Split",   "SoftmaxW
                                                             "Dropout", "MultiLabelLMDB",  "Python",   "AnnotatedData"};
 
 Status CaffeModelParser::ParseInput(domi::caffe::NetParameter &proto_message, bool &input_data_flag) const {
-  if (proto_message.input_size() > 0) {
-    GELOGI("This net exsit input.");
+  if (proto_message.input_size() <= 0) {
+    return SUCCESS;
+  }
+  GELOGI("This net exsit input.");
+  if (proto_message.input_dim_size() > 0) {
+    if (proto_message.input_shape_size() > 0) {
+      ErrorManager::GetInstance().ATCReportErrMessage("E11001");
+      GELOGE(FAILED, "[Check][Size]input_dim and input_shape can not both exist!");
+      return FAILED;
+    }
 
-    if (proto_message.input_dim_size() > 0) {
-      if (proto_message.input_shape_size() > 0) {
-        ErrorManager::GetInstance().ATCReportErrMessage("E11001");
-        GELOGE(FAILED, "[Check][Size]input_dim and input_shape can not both exist!");
-        return FAILED;
-      }
+    const int32_t input_dim_size = proto_message.input_dim_size();
+    const bool is_input_invalid = (((input_dim_size / proto_message.input_size()) != parser::DIM_DEFAULT_SIZE) ||
+                                   ((input_dim_size % proto_message.input_size()) != 0));
+    if (is_input_invalid) {
+      ErrorManager::GetInstance().ATCReportErrMessage("E11003", {"input_dim_size", "input_size"},
+          {std::to_string(input_dim_size), std::to_string(proto_message.input_size())});
+      GELOGE(FAILED, "[Check][Size]Model input_dim size[%d] is not 4 times of input size[%d].",
+             input_dim_size, proto_message.input_size());
+      return FAILED;
+    }
 
-      const int32_t input_dim_size = proto_message.input_dim_size();
-      const bool is_input_invalid = (((input_dim_size / proto_message.input_size()) != parser::DIM_DEFAULT_SIZE) ||
-                                     ((input_dim_size % proto_message.input_size()) != 0));
-      if (is_input_invalid) {
-        ErrorManager::GetInstance().ATCReportErrMessage("E11003", {"input_dim_size", "input_size"},
-            {std::to_string(input_dim_size), std::to_string(proto_message.input_size())});
-        GELOGE(FAILED, "[Check][Size]Model input_dim size[%d] is not 4 times of input size[%d].",
-               input_dim_size, proto_message.input_size());
-        return FAILED;
-      }
+    for (int i = 0; i < proto_message.input_size(); i++) {
+      domi::caffe::LayerParameter *layer = proto_message.add_layer();
+      GE_CHECK_NOTNULL(layer);
+      layer->set_name(proto_message.input(i));
+      layer->set_type(ge::parser::INPUT_TYPE);
+      layer->add_top(proto_message.input(i));
 
-      for (int i = 0; i < proto_message.input_size(); i++) {
-        domi::caffe::LayerParameter *layer = proto_message.add_layer();
-        GE_CHECK_NOTNULL(layer);
-        layer->set_name(proto_message.input(i));
-        layer->set_type(ge::parser::INPUT_TYPE);
-        layer->add_top(proto_message.input(i));
-
-        domi::caffe::InputParameter *input_param = layer->mutable_input_param();
-        GE_CHECK_NOTNULL(input_param);
-        domi::caffe::BlobShape *shape = input_param->add_shape();
-        GE_CHECK_NOTNULL(shape);
-
-        for (int j = 0; j < parser::DIM_DEFAULT_SIZE; j++) {
-          // Can guarantee that it will not cross the border
-          shape->add_dim(static_cast<int64_t>(proto_message.input_dim(j + i * parser::DIM_DEFAULT_SIZE)));
-        }
-        input_data_flag = true;
-      }
-    } else if (proto_message.input_shape_size() > 0) {
-      if (proto_message.input_shape_size() != proto_message.input_size()) {
-        ErrorManager::GetInstance().ATCReportErrMessage("E11004", {"input_shape_size", "input_size"},
-                                                        {std::to_string(proto_message.input_shape_size()),
-                                                         std::to_string(proto_message.input_size())});
-        GELOGE(FAILED, "[Check][Size]caffe net input_shape size(%d) is not equal input size(%d).",
-               proto_message.input_shape_size(), proto_message.input_size());
-        return FAILED;
+      domi::caffe::InputParameter *input_param = layer->mutable_input_param();
+      GE_CHECK_NOTNULL(input_param);
+      domi::caffe::BlobShape *shape = input_param->add_shape();
+      GE_CHECK_NOTNULL(shape);
+
+      for (int j = 0; j < parser::DIM_DEFAULT_SIZE; j++) {
+        // Can guarantee that it will not cross the border
+        shape->add_dim(static_cast<int64_t>(proto_message.input_dim(j + i * parser::DIM_DEFAULT_SIZE)));
       }
+      input_data_flag = true;
+    }
+  } else if (proto_message.input_shape_size() > 0) {
+    if (proto_message.input_shape_size() != proto_message.input_size()) {
+      ErrorManager::GetInstance().ATCReportErrMessage("E11004", {"input_shape_size", "input_size"},
+                                                      {std::to_string(proto_message.input_shape_size()),
+                                                       std::to_string(proto_message.input_size())});
+      GELOGE(FAILED, "[Check][Size]caffe net input_shape size(%d) is not equal input size(%d).",
+             proto_message.input_shape_size(), proto_message.input_size());
+      return FAILED;
+    }
 
-      for (int i = 0; i < proto_message.input_size(); i++) {
-        int dim_size = proto_message.input_shape(i).dim_size();
+    for (int i = 0; i < proto_message.input_size(); i++) {
+      int dim_size = proto_message.input_shape(i).dim_size();
 
-        domi::caffe::LayerParameter *layer = proto_message.add_layer();
-        GE_CHECK_NOTNULL(layer);
-        layer->set_name(proto_message.input(i));
-        layer->set_type(ge::parser::INPUT_TYPE);
-        layer->add_top(proto_message.input(i));
+      domi::caffe::LayerParameter *layer = proto_message.add_layer();
+      GE_CHECK_NOTNULL(layer);
+      layer->set_name(proto_message.input(i));
+      layer->set_type(ge::parser::INPUT_TYPE);
+      layer->add_top(proto_message.input(i));
 
-        domi::caffe::InputParameter *input_param = layer->mutable_input_param();
-        GE_CHECK_NOTNULL(input_param);
-        domi::caffe::BlobShape *shape = input_param->add_shape();
-        GE_CHECK_NOTNULL(shape);
+      domi::caffe::InputParameter *input_param = layer->mutable_input_param();
+      GE_CHECK_NOTNULL(input_param);
+      domi::caffe::BlobShape *shape = input_param->add_shape();
+      GE_CHECK_NOTNULL(shape);
 
-        for (int j = 0; j < dim_size; j++) {
-          // Can guarantee that it will not cross the border
-          shape->add_dim(static_cast<int64_t>(proto_message.input_shape(i).dim(j)));
-        }
-        input_data_flag = true;
+      for (int j = 0; j < dim_size; j++) {
+        // Can guarantee that it will not cross the border
+        shape->add_dim(static_cast<int64_t>(proto_message.input_shape(i).dim(j)));
       }
-    } else {
-      const ge::ParserContext &ctx = ge::GetParserContext();
-      std::map<std::string, std::vector<int64_t>> input_dims = ctx.input_dims;
-      for (int i = 0; i < proto_message.input_size(); i++) {
-        string name = proto_message.input(i);
-        if (input_dims.count(name) == 0) {  // Input defined by model does not exist in input of external input
-          REPORT_INPUT_ERROR("E11005", std::vector<std::string>({"input"}), std::vector<std::string>({name}));
-          GELOGE(FAILED, "[Find][Dim]Model has no input shape.");
-          return FAILED;
-        }
-        std::vector<int64_t> dims = input_dims.at(name);
-        size_t dim_size = dims.size();
-
-        domi::caffe::LayerParameter *layer = proto_message.add_layer();
-        GE_CHECK_NOTNULL(layer);
-        layer->set_name(name);
-        layer->set_type(ge::parser::INPUT_TYPE);
-        layer->add_top(proto_message.input(i));
-
-        domi::caffe::InputParameter *input_param = layer->mutable_input_param();
-        GE_CHECK_NOTNULL(input_param);
-        domi::caffe::BlobShape *shape = input_param->add_shape();
-        GE_CHECK_NOTNULL(shape);
-
-        for (size_t j = 0; j < dim_size; j++) {
-          shape->add_dim(dims.at(j));
-        }
-        input_data_flag = true;
+      input_data_flag = true;
+    }
+  } else {
+    const ge::ParserContext &ctx = ge::GetParserContext();
+    std::map<std::string, std::vector<int64_t>> input_dims = ctx.input_dims;
+    for (int i = 0; i < proto_message.input_size(); i++) {
+      string name = proto_message.input(i);
+      if (input_dims.count(name) == 0) {  // Input defined by model does not exist in input of external input
+        REPORT_INPUT_ERROR("E11005", std::vector<std::string>({"input"}), std::vector<std::string>({name}));
+        GELOGE(FAILED, "[Find][Dim]Model has no input shape.");
+        return FAILED;
+      }
+      std::vector<int64_t> dims = input_dims.at(name);
+      size_t dim_size = dims.size();
+
+      domi::caffe::LayerParameter *layer = proto_message.add_layer();
+      GE_CHECK_NOTNULL(layer);
+      layer->set_name(name);
+      layer->set_type(ge::parser::INPUT_TYPE);
+      layer->add_top(proto_message.input(i));
+
+      domi::caffe::InputParameter *input_param = layer->mutable_input_param();
+      GE_CHECK_NOTNULL(input_param);
+      domi::caffe::BlobShape *shape = input_param->add_shape();
+      GE_CHECK_NOTNULL(shape);
+
+      for (size_t j = 0; j < dim_size; j++) {
+        shape->add_dim(dims.at(j));
       }
+      input_data_flag = true;
     }
   }
   return SUCCESS;
@@ -423,7 +417,7 @@ Status CaffeModelParser::ParseNetModelByCustomProto(const char *model_path, cons
     return FAILED;
   }
 
-  if (ParseLayerParameter(layer_descriptor, message, operators) != SUCCESS) {
+  if (ParseLayerParameter(*layer_descriptor, *message, operators) != SUCCESS) {
     delete message;
     GELOGE(FAILED, "[Parse][LayerParameter] failed, model path:%s.", model_path);
     return FAILED;
@@ -536,18 +530,18 @@ Status CaffeModelParser::ReadCaffeModelFromText(const char *model_path, google::
   return SUCCESS;
 }
 
-Status CaffeModelParser::ParseLayerParameter(const google::protobuf::Descriptor *layer_descriptor,
-                                             const google::protobuf::Message *message,
+Status CaffeModelParser::ParseLayerParameter(const google::protobuf::Descriptor &layer_descriptor,
+                                             const google::protobuf::Message &message,
                                              vector<ge::Operator> &operators) const {
-  auto field_name = layer_descriptor->FindFieldByName(kFieldName);
+  auto field_name = layer_descriptor.FindFieldByName(kFieldName);
   CAFFE_CHECK_NULL_AND_REPROT_ERRORMSG(field_name, "Does not find name in google::protobuf::Descriptor");
-  auto field_type = layer_descriptor->FindFieldByName(kFieldType);
+  auto field_type = layer_descriptor.FindFieldByName(kFieldType);
   CAFFE_CHECK_NULL_AND_REPROT_ERRORMSG(field_type, "Does not find type in google::protobuf::Descriptor");
 
-  const google::protobuf::Reflection *reflection = message->GetReflection();
+  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;
-  reflection->ListFields(*message, &field_desc);
+  reflection->ListFields(message, &field_desc);
   for (auto &field : field_desc) {
     CAFFE_CHECK_NULL_AND_REPROT_ERRORMSG(field, "Get FieldDescriptor failed in google::protobuf::Message");
     // Only care about layers
@@ -561,10 +555,10 @@ Status CaffeModelParser::ParseLayerParameter(const google::protobuf::Descriptor
       return FAILED;
     }
 
-    int field_size = reflection->FieldSize(*message, field);
+    int field_size = reflection->FieldSize(message, field);
     GELOGI("Total Layer num of model file is %d", field_size);
     for (int i = 0; i < field_size; ++i) {
-      const google::protobuf::Message &layer_message = reflection->GetRepeatedMessage(*message, field, i);
+      const google::protobuf::Message &layer_message = reflection->GetRepeatedMessage(message, field, i);
       const google::protobuf::Reflection *layer_reflection = layer_message.GetReflection();
       CAFFE_CHECK_NULL_AND_REPROT_ERRORMSG(layer_reflection, "Get Reflection failed in google::protobuf::Message");
       GE_CHECK_NOTNULL(layer_reflection);
@@ -1316,7 +1310,8 @@ Status CaffeModelParser::ParseFromMemory(const char *data, uint32_t size, ge::Co
                     layer_name_map[layer.name()]++;
                     // Set the name in proto and layer
                     domi::caffe::LayerParameter *duplicate_name_layer = proto_message.mutable_layer(layer_index);
-                    duplicate_name_layer->set_name(new_name); layer.set_name(new_name);)
+                    duplicate_name_layer->set_name(new_name);
+                    layer.set_name(new_name);)
 
     // Insert the new operator name, the number of times of duplicate name is recorded as 1
     layer_name_map.insert(std::make_pair(layer.name(), kNumOne));
@@ -1539,7 +1534,8 @@ Status CaffeModelParser::Parse(const char *model_path, ge::ComputeGraphPtr &grap
                     layer_name_map[layer.name()]++;
                     // Set the name in proto and layer
                     domi::caffe::LayerParameter *duplicate_name_layer = proto_message.mutable_layer(layer_index);
-                    duplicate_name_layer->set_name(new_name); layer.set_name(new_name);)
+                    duplicate_name_layer->set_name(new_name);
+                    layer.set_name(new_name);)
 
     // Insert the new operator name, the number of times of duplicate name is recorded as 1
     layer_name_map.insert(std::make_pair(layer.name(), kNumOne));
@@ -1832,13 +1828,13 @@ Status CaffeWeightsParser::ParseWeightByFusionProto(const char *weight_path, con
     return FAILED;
   }
 
-  if (CheckLayersSize(message) != SUCCESS) {
+  if (CheckLayersSize(*message) != SUCCESS) {
     delete message;
     message = nullptr;
     return FAILED;
   }
 
-  if (ParseLayerParameter(layer_descriptor, message, graph) != SUCCESS) {
+  if (ParseLayerParameter(*layer_descriptor, *message, graph) != SUCCESS) {
     delete message;
     message = nullptr;
     REPORT_CALL_ERROR("E19999", "ParseLayerParameter failed failed from weight file:%s.", weight_path);
@@ -1852,18 +1848,18 @@ Status CaffeWeightsParser::ParseWeightByFusionProto(const char *weight_path, con
   return SUCCESS;
 }
 
-Status CaffeWeightsParser::ParseLayerParameter(const google::protobuf::Descriptor *layer_descriptor,
-                                               const google::protobuf::Message *message,
+Status CaffeWeightsParser::ParseLayerParameter(const google::protobuf::Descriptor &layer_descriptor,
+                                               const google::protobuf::Message &message,
                                                ge::ComputeGraphPtr &graph) {
-  auto field_name = layer_descriptor->FindFieldByName(kFieldName);
+  auto field_name = layer_descriptor.FindFieldByName(kFieldName);
   CAFFE_CHECK_NULL_AND_REPROT_ERRORMSG(field_name, "Does not find name in google::protobuf::Descriptor");
-  auto field_type = layer_descriptor->FindFieldByName(kFieldType);
+  auto field_type = layer_descriptor.FindFieldByName(kFieldType);
   CAFFE_CHECK_NULL_AND_REPROT_ERRORMSG(field_type, "Does not find type in google::protobuf::Descriptor");
 
-  const google::protobuf::Reflection *reflection = message->GetReflection();
+  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;
-  reflection->ListFields(*message, &field_desc);
+  reflection->ListFields(message, &field_desc);
 
   NetParameter tmp_net;
   for (auto &field : field_desc) {
@@ -1880,13 +1876,13 @@ Status CaffeWeightsParser::ParseLayerParameter(const google::protobuf::Descripto
       return FAILED;
     }
 
-    int field_size = reflection->FieldSize(*message, field);
+    int field_size = reflection->FieldSize(message, field);
     GELOGI("Total Layer num of model file is %d", field_size);
     for (int i = 0; i < field_size; ++i) {
-      const google::protobuf::Message &layer_message = reflection->GetRepeatedMessage(*message, field, i);
+      const google::protobuf::Message &layer_message = reflection->GetRepeatedMessage(message, field, i);
 
       LayerParameter *layer = tmp_net.add_layer();
-      if (ConvertLayerProto(&layer_message, layer) != SUCCESS) {
+      if (ConvertLayerProto(layer_message, layer) != SUCCESS) {
          GELOGE(FAILED, "[Invoke][ConvertLayerProto] Convert message to layer proto failed.");
          return FAILED;
       }
@@ -1907,16 +1903,16 @@ Status CaffeWeightsParser::ParseLayerParameter(const google::protobuf::Descripto
   return SUCCESS;
 }
 
-Status CaffeWeightsParser::ConvertLayerProto(const google::protobuf::Message *message,
+Status CaffeWeightsParser::ConvertLayerProto(const google::protobuf::Message &message,
                                              google::protobuf::Message *layer) {
-  const google::protobuf::Reflection *layer_reflection = message->GetReflection();
+  const google::protobuf::Reflection *layer_reflection = message.GetReflection();
   CAFFE_CHECK_NULL_AND_REPROT_ERRORMSG(layer_reflection, "Get Reflection failed in google::protobuf::Message");
   vector<const google::protobuf::FieldDescriptor *> field_desc;
-  layer_reflection->ListFields(*message, &field_desc);
+  layer_reflection->ListFields(message, &field_desc);
 
   for (auto &field : field_desc) {
     GE_CHECK_NOTNULL(field);
-    if (ParseLayerField(layer_reflection, message, field, layer) != SUCCESS) {
+    if (ParseLayerField(*layer_reflection, message, *field, layer) != SUCCESS) {
       GELOGE(FAILED, "[Invoke][ParseLayerField] Parse field %s failed.", field->name().c_str());
       return FAILED;
     }
@@ -1924,114 +1920,114 @@ Status CaffeWeightsParser::ConvertLayerProto(const google::protobuf::Message *me
   return SUCCESS;
 }
 
-Status CaffeWeightsParser::ParseLayerField(const google::protobuf::Reflection *reflection,
-                                           const google::protobuf::Message *message,
-                                           const google::protobuf::FieldDescriptor *field,
+Status CaffeWeightsParser::ParseLayerField(const google::protobuf::Reflection &reflection,
+                                           const google::protobuf::Message &message,
+                                           const google::protobuf::FieldDescriptor &field,
                                            google::protobuf::Message *layer) const {
-  GELOGD("Start to parse field: %s.", field->name().c_str());
+  GELOGD("Start to parse field: %s.", field.name().c_str());
   domi::caffe::LayerParameter *layer_proto = PtrToPtr<google::protobuf::Message, domi::caffe::LayerParameter>(layer);
-  string filed_name = field->name();
-#define CASE_FIELD_NAME(kName, method)                                 \
+  string filed_name = field.name();
+#define CASE_FIELD_NAME(kName, method, inner_message, field_ptr)       \
   if (filed_name == kField##kName) {                                   \
-    string value = reflection->GetString(*message, field);             \
+    string value = reflection.GetString(inner_message, field_ptr);     \
     GELOGD("Parse res: (%s : %s)", filed_name.c_str(), value.c_str()); \
     layer_proto->set_##method(value);                                  \
     return SUCCESS;                                                    \
   }
-  CASE_FIELD_NAME(Name, name);
-  CASE_FIELD_NAME(Type, type);
+  CASE_FIELD_NAME(Name, name, message, &field);
+  CASE_FIELD_NAME(Type, type, message, &field);
 #undef CASE_FIELD_NAME
-#define CASE_FIELD_NAME_REPEATED(kName, method)                        \
-  if (filed_name == kField##kName) {                                   \
-    int field_size = reflection->FieldSize(*message, field);           \
-    for (int i = 0; i < field_size; ++i) {                             \
-      auto value = reflection->GetRepeatedString(*message, field, i);  \
-      layer_proto->add_##method(value);                                \
-    }                                                                  \
-    return SUCCESS;                                                    \
-  }
-  CASE_FIELD_NAME_REPEATED(Bottom, bottom);
-  CASE_FIELD_NAME_REPEATED(Top, top);
+#define CASE_FIELD_NAME_REPEATED(kName, method, inner_message, field_ptr)        \
+  if (filed_name == kField##kName) {                                             \
+    int field_size = reflection.FieldSize(inner_message, field_ptr);             \
+    for (int i = 0; i < field_size; ++i) {                                       \
+      auto value = reflection.GetRepeatedString(inner_message, field_ptr, i);    \
+      layer_proto->add_##method(value);                                          \
+    }                                                                            \
+    return SUCCESS;                                                              \
+  }
+  CASE_FIELD_NAME_REPEATED(Bottom, bottom, message, &field);
+  CASE_FIELD_NAME_REPEATED(Top, top, message, &field);
 #undef CASE_FIELD_NAME_REPEATED
   if (filed_name == kFieldBlobs) {
-    int field_size = reflection->FieldSize(*message, field);
+    int field_size = reflection.FieldSize(message, &field);
     for (int i = 0; i < field_size; ++i) {
       domi::caffe::BlobProto *item_message = layer_proto->add_blobs();
-      const google::protobuf::Message &sub_message = reflection->GetRepeatedMessage(*message, field, i);
-      if (ConvertBlobsProto(&sub_message, item_message) != SUCCESS) {
-        GELOGE(FAILED, "[Invoke][ConvertBlobsProto] ParseLayerField of field: %s failed.", field->name().c_str());
+      const google::protobuf::Message &sub_message = reflection.GetRepeatedMessage(message, &field, i);
+      if (ConvertBlobsProto(sub_message, item_message) != SUCCESS) {
+        GELOGE(FAILED, "[Invoke][ConvertBlobsProto] ParseLayerField of field: %s failed.", field.name().c_str());
         return FAILED;
       }
     }
     return SUCCESS;
   }
   if (filed_name == kFieldConvParam) {
-    const google::protobuf::Message &sub_message = reflection->GetMessage(*message, field);
+    const google::protobuf::Message &sub_message = reflection.GetMessage(message, &field);
     ConvolutionParameter *conv_param = layer_proto->mutable_convolution_param();
-    ConvertConvParamProto(&sub_message, conv_param);
+    ConvertConvParamProto(sub_message, conv_param);
   }
   if (filed_name == kFieldInnerPro) {
-    const google::protobuf::Message &sub_message = reflection->GetMessage(*message, field);
+    const google::protobuf::Message &sub_message = reflection.GetMessage(message, &field);
     InnerProductParameter *inner_product = layer_proto->mutable_inner_product_param();
-    ConvertInnerProdcutProto(&sub_message, inner_product);
+    ConvertInnerProdcutProto(sub_message, inner_product);
   }
   return SUCCESS;
 }
 
-Status CaffeWeightsParser::ConvertBlobsProto(const google::protobuf::Message *message,
+Status CaffeWeightsParser::ConvertBlobsProto(const google::protobuf::Message &message,
                                              google::protobuf::Message *blobs) const {
-  const google::protobuf::Reflection *blobs_reflection = message->GetReflection();
+  const google::protobuf::Reflection *blobs_reflection = message.GetReflection();
   CAFFE_CHECK_NULL_AND_REPROT_ERRORMSG(blobs_reflection, "Get Reflection failed in google::protobuf::Message");
   vector<const google::protobuf::FieldDescriptor *> field_desc;
-  blobs_reflection->ListFields(*message, &field_desc);
+  blobs_reflection->ListFields(message, &field_desc);
   domi::caffe::BlobProto *blobs_proto = PtrToPtr<google::protobuf::Message, domi::caffe::BlobProto>(blobs);
 
   for (auto &field : field_desc) {
     GE_CHECK_NOTNULL(field);
     string feild_name = field->name();
-#define CASE_BLOBS_FIELD_NAME_REPEATED(kName, method, valuetype, name)                \
-  if (feild_name == #kName) {                                                         \
-    int field_size = blobs_reflection->FieldSize(*message, field);                    \
-    for (int i = 0; i < field_size; ++i) {                                            \
-      valuetype value = blobs_reflection->GetRepeated##method(*message, field, i);    \
-      blobs_proto->add_##name(value);                                                 \
-    }                                                                                 \
-    continue;                                                                         \
-  }
-    CASE_BLOBS_FIELD_NAME_REPEATED(data, Float, float,  data);
-    CASE_BLOBS_FIELD_NAME_REPEATED(diff, Float, float,  diff);
-    CASE_BLOBS_FIELD_NAME_REPEATED(double_data, Double, double,  double_data);
-    CASE_BLOBS_FIELD_NAME_REPEATED(double_diff, Double, double,  double_diff);
-    CASE_BLOBS_FIELD_NAME_REPEATED(int32_data, Int32, int32_t,  int32_data);
-    CASE_BLOBS_FIELD_NAME_REPEATED(uint64_data, UInt64, uint64_t,  uint64_data);
+#define CASE_BLOBS_FIELD_NAME_REPEATED(kName, method, valuetype, name, inner_message, inner_field) \
+  if (feild_name == #kName) {                                                                      \
+    int field_size = blobs_reflection->FieldSize(inner_message, inner_field);                      \
+    for (int i = 0; i < field_size; ++i) {                                                         \
+      valuetype value = blobs_reflection->GetRepeated##method(inner_message, inner_field, i);      \
+      blobs_proto->add_##name(value);                                                              \
+    }                                                                                              \
+    continue;                                                                                      \
+  }
+    CASE_BLOBS_FIELD_NAME_REPEATED(data, Float, float,  data, message, field);
+    CASE_BLOBS_FIELD_NAME_REPEATED(diff, Float, float,  diff, message, field);
+    CASE_BLOBS_FIELD_NAME_REPEATED(double_data, Double, double,  double_data, message, field);
+    CASE_BLOBS_FIELD_NAME_REPEATED(double_diff, Double, double,  double_diff, message, field);
+    CASE_BLOBS_FIELD_NAME_REPEATED(int32_data, Int32, int32_t,  int32_data, message, field);
+    CASE_BLOBS_FIELD_NAME_REPEATED(uint64_data, UInt64, uint64_t,  uint64_data, message, field);
 #undef CASE_BLOBS_FIELD_NAME_REPEATED
-#define CASE_BLOBS_FIELD_NAME(kName, method, valuetype, name)                        \
-  if (feild_name == #kName) {                                                        \
-    valuetype value = blobs_reflection->Get##method(*message, field);                \
-    blobs_proto->set_##name(value);                                                  \
-    continue;                                                                        \
-  }
-    CASE_BLOBS_FIELD_NAME(int8_data, String, string,  int8_data);
-    CASE_BLOBS_FIELD_NAME(num, Int32, int32_t,  num);
-    CASE_BLOBS_FIELD_NAME(channels, Int32, int32_t,  channels);
-    CASE_BLOBS_FIELD_NAME(height, Int32, int32_t,  height);
-    CASE_BLOBS_FIELD_NAME(width, Int32, int32_t,  width);
+#define CASE_BLOBS_FIELD_NAME(kName, method, valuetype, name, inner_message, inner_field) \
+  if (feild_name == #kName) {                                                              \
+    valuetype value = blobs_reflection->Get##method(inner_message, inner_field);          \
+    blobs_proto->set_##name(value);                                                        \
+    continue;                                                                              \
+  }
+    CASE_BLOBS_FIELD_NAME(int8_data, String, string,  int8_data, message, field);
+    CASE_BLOBS_FIELD_NAME(num, Int32, int32_t, num, message, field);
+    CASE_BLOBS_FIELD_NAME(channels, Int32, int32_t,  channels, message, field);
+    CASE_BLOBS_FIELD_NAME(height, Int32, int32_t,  height, message, field);
+    CASE_BLOBS_FIELD_NAME(width, Int32, int32_t,  width, message, field);
 #undef CASE_BLOBS_FIELD_NAME
     if (feild_name == kFieldShape) {
-      const google::protobuf::Message &sub_message = blobs_reflection->GetMessage(*message, field);
+      const google::protobuf::Message &sub_message = blobs_reflection->GetMessage(message, field);
       domi::caffe::BlobShape *blob_shape = blobs_proto->mutable_shape();
-      ConvertBlobShapeProto(&sub_message, blob_shape);
+      ConvertBlobShapeProto(sub_message, blob_shape);
     }
   }
   return SUCCESS;
 }
 
-Status CaffeWeightsParser::ConvertBlobShapeProto(const google::protobuf::Message *message,
+Status CaffeWeightsParser::ConvertBlobShapeProto(const google::protobuf::Message &message,
                                                  google::protobuf::Message *dest_message) const {
-  const google::protobuf::Reflection *reflection = message->GetReflection();
+  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;
-  reflection->ListFields(*message, &field_desc);
+  reflection->ListFields(message, &field_desc);
 
   domi::caffe::BlobShape *shape_proto = PtrToPtr<google::protobuf::Message, domi::caffe::BlobShape>(dest_message);
 
@@ -2039,21 +2035,21 @@ Status CaffeWeightsParser::ConvertBlobShapeProto(const google::protobuf::Message
     if (field->name() != kFieldDim) {
       continue;
     }
-    int field_size = reflection->FieldSize(*message, field);
+    int field_size = reflection->FieldSize(message, field);
     for (int i = 0; i < field_size; ++i) {
-      int64_t value = reflection->GetRepeatedInt64(*message, field, i);
+      int64_t value = reflection->GetRepeatedInt64(message, field, i);
       shape_proto->add_dim(value);
     }
   }
   return SUCCESS;
 }
 
-Status CaffeWeightsParser::ConvertConvParamProto(const google::protobuf::Message *message,
+Status CaffeWeightsParser::ConvertConvParamProto(const google::protobuf::Message &message,
                                                  google::protobuf::Message *dest_message) const {
-  const google::protobuf::Reflection *reflection = message->GetReflection();
+  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;
-  reflection->ListFields(*message, &field_desc);
+  reflection->ListFields(message, &field_desc);
 
   domi::caffe::ConvolutionParameter *conv_param_proto =
       PtrToPtr<google::protobuf::Message, domi::caffe::ConvolutionParameter>(dest_message);
@@ -2062,18 +2058,18 @@ Status CaffeWeightsParser::ConvertConvParamProto(const google::protobuf::Message
     if (field->name() != kFieldBiasTerm) {
       continue;
     }
-    bool value = reflection->GetBool(*message, field);
+    bool value = reflection->GetBool(message, field);
     conv_param_proto->set_bias_term(value);
   }
   return SUCCESS;
 }
 
-Status CaffeWeightsParser::ConvertInnerProdcutProto(const google::protobuf::Message *message,
+Status CaffeWeightsParser::ConvertInnerProdcutProto(const google::protobuf::Message &message,
                                                     google::protobuf::Message *dest_message) const {
-  const google::protobuf::Reflection *reflection = message->GetReflection();
+  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;
-  reflection->ListFields(*message, &field_desc);
+  reflection->ListFields(message, &field_desc);
 
   domi::caffe::InnerProductParameter *inner_product_proto =
       PtrToPtr<google::protobuf::Message, domi::caffe::InnerProductParameter>(dest_message);
@@ -2082,17 +2078,17 @@ Status CaffeWeightsParser::ConvertInnerProdcutProto(const google::protobuf::Mess
     if (field->name() != kFieldBiasTerm) {
       continue;
     }
-    bool value = reflection->GetBool(*message, field);
+    bool value = reflection->GetBool(message, field);
     inner_product_proto->set_bias_term(value);
   }
   return SUCCESS;
 }
 
-Status CaffeWeightsParser::CheckLayersSize(const google::protobuf::Message *message) const {
-  const google::protobuf::Reflection *reflection = message->GetReflection();
+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;
-  reflection->ListFields(*message, &field_desc);
+  reflection->ListFields(message, &field_desc);
 
   int num_layer = 0;
   int num_layers = 0;
@@ -2110,7 +2106,7 @@ Status CaffeWeightsParser::CheckLayersSize(const google::protobuf::Message *mess
       return FAILED;
     }
 
-    int field_size = reflection->FieldSize(*message, field);
+    int field_size = reflection->FieldSize(message, field);
     if (field->name() == kLayerName) {
       num_layer = field_size;
     } else {

parser/caffe/caffe_parser.h

@@ -212,8 +212,8 @@ class PARSER_FUNC_VISIBILITY CaffeModelParser : public domi::ModelParser {
    * @return SUCCESS parse layer successfully
    * @return FAILED parse layer failed
    */
-  Status ParseLayerParameter(const google::protobuf::Descriptor *layer_descriptor,
-                             const google::protobuf::Message *message, std::vector<ge::Operator> &operators) const;
+  Status ParseLayerParameter(const google::protobuf::Descriptor &layer_descriptor,
+                             const google::protobuf::Message &message, std::vector<ge::Operator> &operators) const;
 
   /*
    * @ingroup domi_omg
@@ -386,33 +386,33 @@ class PARSER_FUNC_VISIBILITY CaffeWeightsParser : public domi::WeightsParser {
   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,
+  Status ParseLayerParameter(const google::protobuf::Descriptor &layer_descriptor,
+                             const google::protobuf::Message &message,
                              ge::ComputeGraphPtr &graph);
 
   Status ConvertLayerParameter(const google::protobuf::Message *layer_message,
                                ge::ComputeGraphPtr &graph);
 
-  Status CheckLayersSize(const google::protobuf::Message *message) const;
+  Status CheckLayersSize(const google::protobuf::Message &message) const;
 
-  Status ConvertLayerProto(const google::protobuf::Message *message,
+  Status ConvertLayerProto(const google::protobuf::Message &message,
                            google::protobuf::Message *layer);
 
-  Status ParseLayerField(const google::protobuf::Reflection *reflection,
-                         const google::protobuf::Message *message,
-                         const google::protobuf::FieldDescriptor *field,
+  Status ParseLayerField(const google::protobuf::Reflection &reflection,
+                         const google::protobuf::Message &message,
+                         const google::protobuf::FieldDescriptor &field,
                          google::protobuf::Message *layer) const;
 
-  Status ConvertBlobsProto(const google::protobuf::Message *message,
+  Status ConvertBlobsProto(const google::protobuf::Message &message,
                            google::protobuf::Message *blobs) const;
 
-  Status ConvertBlobShapeProto(const google::protobuf::Message *message,
+  Status ConvertBlobShapeProto(const google::protobuf::Message &message,
                                google::protobuf::Message *dest_message) const;
 
-  Status ConvertInnerProdcutProto(const google::protobuf::Message *message,
+  Status ConvertInnerProdcutProto(const google::protobuf::Message &message,
                                   google::protobuf::Message *dest_message) const;
 
-  Status ConvertConvParamProto(const google::protobuf::Message *message,
+  Status ConvertConvParamProto(const google::protobuf::Message &message,
                                google::protobuf::Message *dest_message) const;
   /**
    * @ingroup domi_omg

parser/common/acl_graph_parser_util.cc

@@ -431,6 +431,41 @@ domi::Status AclGrphParseUtil::ParseAclInputFp16Nodes(const ComputeGraphPtr &gra
   return SUCCESS;
 }
 
+domi::Status AclGrphParseUtil::SetSpecifyIndexAttrByInputNames(const ComputeGraphPtr &graph,
+    const std::string &input_data_names) const {
+  std::vector<std::string> input_names = StringUtils::Split(input_data_names, ',');
+  std::unordered_map<std::string, size_t> name_to_index;
+  for (auto &input_name : input_names) {
+    if (!name_to_index.emplace(input_name, name_to_index.size()).second) {
+      GELOGE(PARAM_INVALID, "[Check][Param] Duplicate input name[%s].", input_name.c_str());
+      return FAILED;
+    }
+  }
+
+  for (const NodePtr &node : graph->GetDirectNode()) {
+    if (node->GetType() != ge::parser::DATA) {
+      continue;
+    }
+    auto op_desc = node->GetOpDesc();
+    GE_CHECK_NOTNULL(op_desc);
+    auto iter = name_to_index.find(node->GetName());
+    if (iter== name_to_index.cend()) {
+      GELOGE(PARAM_INVALID, "[Check][Param] Input name[%s] is not in input_data_names",
+             node->GetName().c_str());
+      return FAILED;
+    }
+    GELOGI("[SetSpecifyIndexAttr] set node(%s) index attr, index is %ld",
+           op_desc->GetName().c_str(), iter->second);
+    if (!AttrUtils::SetInt(op_desc, ATTR_NAME_INDEX, iter->second)) {
+      REPORT_CALL_ERROR("E19999", "set attr %s failed for node:%s",
+          ATTR_NAME_INDEX.c_str(), op_desc->GetName().c_str());
+      GELOGE(FAILED, "set attr %s failed for node:%s", ATTR_NAME_INDEX.c_str(), op_desc->GetName().c_str());
+      return FAILED;
+    }
+  }
+  return SUCCESS;
+}
+
 void AclGrphParseUtil::CreateOutputNodesInfo(std::vector<std::pair<ge::NodePtr, int32_t>> &output_nodes_info,
                                              std::vector<std::string> &output_nodes_name) const {
   output_nodes_name.clear();
@@ -670,6 +705,16 @@ domi::Status AclGrphParseUtil::ParseParamsAfterGraph(ge::Graph &graph,
     return PARAM_INVALID;
   }
 
+  string input_data_names;
+  GetAclParams(parser_params, ge::ir_option::INPUT_DATA_NAMES, input_data_names);
+  if (!input_data_names.empty()) {
+    if (SetSpecifyIndexAttrByInputNames(compute_graph, input_data_names) != SUCCESS) {
+      GELOGE(FAILED, "[Invoke][SetIndexAttr] set index attr failed, graph:%s",
+             compute_graph->GetName().c_str());
+      return PARAM_INVALID;
+    }
+  }
+
   return SUCCESS;
 }
 

parser/common/acl_graph_parser_util.h

@@ -61,6 +61,7 @@ class AclGrphParseUtil {
                                     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;
+  domi::Status SetSpecifyIndexAttrByInputNames(const ComputeGraphPtr &graph, const std::string &input_data_names) const;
   domi::Status GetDefaultOutInfo(ge::ComputeGraphPtr &compute_graph,
                                  std::vector<std::pair<ge::NodePtr, int32_t>> &output_nodes_info) const;
 };

parser/common/convert/message2operator.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2021 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/convert/message2operator.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2021 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/convert/pb2json.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -82,7 +82,7 @@ void Pb2Json::OneField2Json(const ProtobufMsg &message, const ProtobufFieldDescr
   switch (field->type()) {
     case ProtobufFieldDescriptor::TYPE_MESSAGE: {
       const ProtobufMsg &tmp_message = reflection->GetMessage(message, field);
-      if (0UL != tmp_message.ByteSizeLong()) {
+      if (tmp_message.ByteSizeLong() != 0UL) {
         Message2Json(tmp_message, black_fields, json[field->name()], enum2str, depth + 1);
       }
       break;
@@ -122,7 +122,7 @@ void Pb2Json::OneField2Json(const ProtobufMsg &message, const ProtobufFieldDescr
 
     case ProtobufFieldDescriptor::TYPE_FLOAT:
       char str[kSignificantDigits];
-      if (sprintf_s(str, kSignificantDigits, "%g", reflection->GetFloat(message, field)) != -1){
+      if (sprintf_s(str, kSignificantDigits, "%g", reflection->GetFloat(message, field)) != -1) {
         json[field->name()] = str;
       } else {
         json[field->name()] = reflection->GetFloat(message, field);
@@ -155,10 +155,8 @@ string Pb2Json::TypeBytes2String(string &field_name, string &type_bytes) {
   }
   string result = "";
   for (char temp_value : type_bytes) {
-    uint8_t *value = 0;
-    value = reinterpret_cast<uint8_t *>(&temp_value);
     char str[kSignificantDigits];
-    if (sprintf_s(str, kSignificantDigits, "%d", *value) == -1){
+    if (sprintf_s(str, kSignificantDigits, "%c", temp_value) == -1) {
       GELOGW("Convert bytes to string fail, filed name:%s", field_name.c_str());
       continue;
     }

parser/common/convert/pb2json.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/op_def/arg_op.cc → parser/common/op_def/arg_op_operator.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -14,7 +14,7 @@
  * limitations under the License.
  */
 
-#include "parser/common/op_def/arg_op.h"
+#include "parser/common/op_def/arg_op_operator.h"
 #include <string>
 #include "framework/common/fmk_types.h"
 

parser/common/op_def/arg_op.h → parser/common/op_def/arg_op_operator.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/op_def/constant_op.cc → parser/common/op_def/constant_operator.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -14,7 +14,7 @@
  * limitations under the License.
  */
 
-#include "common/op_def/constant_op.h"
+#include "common/op_def/constant_operator.h"
 #include <string>
 #include <vector>
 

parser/common/op_def/constant_op.h → parser/common/op_def/constant_operator.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/op_def/fill_op.cc → parser/common/op_def/fill_operator.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -14,7 +14,7 @@
  * limitations under the License.
  */
 
-#include "common/op_def/fill_op.h"
+#include "common/op_def/fill_operator.h"
 #include "framework/common/fmk_types.h"
 
 namespace ge {

parser/common/op_def/fill_op.h → parser/common/op_def/fill_operator.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/op_def/frameworkop_op.cc → parser/common/op_def/framework_op_operator.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -14,7 +14,7 @@
  * limitations under the License.
  */
 
-#include "common/op_def/frameworkop_op.h"
+#include "common/op_def/framework_op_operator.h"
 #include <string>
 #include "framework/common/fmk_types.h"
 

parser/common/op_def/frameworkop_op.h → parser/common/op_def/framework_op_operator.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/op_def/ir_pb_converter.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/op_def/ir_pb_converter.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/op_def/no_op_op.cc → parser/common/op_def/no_op_operator.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -15,7 +15,7 @@
  */
 
 // AUTO GEN PLEASE DO NOT MODIFY IT
-#include "common/op_def/no_op_op.h"
+#include "common/op_def/no_op_operator.h"
 #include <string>
 
 namespace ge {

parser/common/op_def/no_op_op.h → parser/common/op_def/no_op_operator.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -18,7 +18,6 @@
 #ifndef DOMI_OP_NO_OP_OP_H_
 #define DOMI_OP_NO_OP_OP_H_
 #include "parser/common/op_def/operator.h"
-#include "framework/omg/parser/parser_types.h"
 
 namespace ge {
 class NoOpOperator : public ParserOperator {

parser/common/op_def/operator.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/op_def/operator.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/op_def/ref_switch_op.cc → parser/common/op_def/ref_switch_operator.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -15,7 +15,7 @@
  */
 
 // AUTO GEN PLEASE DO NOT MODIFY IT
-#include "common/op_def/ref_switch_op.h"
+#include "common/op_def/ref_switch_operator.h"
 
 namespace ge {
 FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY RefSwitchOperator::RefSwitchOperator() : ParserOperator("RefSwitch") {}

parser/common/op_def/ref_switch_op.h → parser/common/op_def/ref_switch_operator.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/op_def/shape_n_op.cc → parser/common/op_def/shape_n_operator.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -15,7 +15,7 @@
  */
 
 // AUTO GEN PLEASE DO NOT MODIFY IT
-#include "common/op_def/shape_n_op.h"
+#include "common/op_def/shape_n_operator.h"
 #include "graph/debug/ge_attr_define.h"
 #include "framework/omg/parser/parser_types.h"
 

parser/common/op_def/shape_n_op.h → parser/common/op_def/shape_n_operator.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/op_def/var_is_initialized_op_op.cc → parser/common/op_def/var_is_initialized_op_operator.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -15,7 +15,7 @@
  */
 
 // AUTO GEN PLEASE DO NOT MODIFY IT
-#include "common/op_def/var_is_initialized_op_op.h"
+#include "common/op_def/var_is_initialized_op_operator.h"
 #include <string>
 #include <vector>
 

parser/common/op_def/var_is_initialized_op_op.h → parser/common/op_def/var_is_initialized_op_operator.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/common/op_def/variable_op.cc → parser/common/op_def/variable_operator.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -14,7 +14,7 @@
  * limitations under the License.
  */
 
-#include "parser/common/op_def/variable_op.h"
+#include "parser/common/op_def/variable_operator.h"
 
 #include "graph/debug/ge_attr_define.h"
 

parser/common/op_def/variable_op.h → parser/common/op_def/variable_operator.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/module.mk

@@ -92,18 +92,18 @@ PARSER_SCOPE_SRC_FILES := \
     tensorflow/scope/scope_pass_manager.cc \
 
 FMK_COMMON_SRC_FILES := \
-    tensorflow/graph_functiondef.cc \
-    tensorflow/graph_optimizer.cc \
+    tensorflow/graph_to_function_def.cc \
+    tensorflow/parser_graph_optimizer.cc \
     tensorflow/iterator_fusion_pass.cc \
-    common/op_def/arg_op.cc \
-    common/op_def/constant_op.cc \
-    common/op_def/fill_op.cc \
-    common/op_def/frameworkop_op.cc \
-    common/op_def/no_op_op.cc \
-    common/op_def/ref_switch_op.cc \
-    common/op_def/shape_n_op.cc \
-    common/op_def/var_is_initialized_op_op.cc \
-    common/op_def/variable_op.cc \
+    common/op_def/arg_op_operator.cc \
+    common/op_def/constant_operator.cc \
+    common/op_def/fill_operator.cc \
+    common/op_def/framework_op_operator.cc \
+    common/op_def/no_op_operator.cc \
+    common/op_def/ref_switch_operator.cc \
+    common/op_def/shape_n_operator.cc \
+    common/op_def/var_is_initialized_op_operator.cc \
+    common/op_def/variable_operator.cc \
 
 LOCAL_SRC_FILES := $(PARSER_TENSORFLOW_SRC_FILES)
 LOCAL_SRC_FILES += $(PARSER_SCOPE_SRC_FILES)

parser/onnx/onnx_constant_parser.h

@@ -69,16 +69,14 @@ class PARSER_FUNC_VISIBILITY OnnxConstantParser : public OnnxOpParser {
         break;
       }
 #define CASE_SET_DATA(dt_type, value_type, addr, count, tensor)                                     \
-  case dt_type:                                                                                     \
-  {                                                                                                 \
+  case dt_type: {                                                                                   \
     unique_ptr<value_type> addr_trans(new(std::nothrow) value_type[count]());                       \
     GE_CHECK_NOTNULL(addr_trans);                                                                   \
     for (int32_t i = 0; i < (count); i++) {                                                         \
       *(addr_trans.get() + i) = static_cast<value_type>(*((addr).get() + i));                       \
     }                                                                                               \
     (tensor).SetData(reinterpret_cast<uint8_t *>(addr_trans.get()), (count) * sizeof(value_type));  \
-    break;                                                                                          \
-  }                                                                                                 \
+    break; }                                                                                        \
 
       CASE_SET_DATA(DT_FLOAT16, uint16_t, addr, count, tensor)
       CASE_SET_DATA(DT_INT16, int16_t, addr, count, tensor)
@@ -89,7 +87,7 @@ class PARSER_FUNC_VISIBILITY OnnxConstantParser : public OnnxOpParser {
 #undef CASE_SET_DATA
       default:
       {
-        tensor.SetData(reinterpret_cast<uint8_t *>(addr.get()), count * sizeof(T));
+        tensor.SetData(PtrToPtr<T, uint8_t>(addr.get()), count * sizeof(T));
         break;
       }
     }

parser/onnx/onnx_file_constant_parser.cc

@@ -31,11 +31,11 @@ using GeTensorDesc = ge::GeTensorDesc;
 using namespace ge::parser;
 
 namespace {
-const std::string kAttrShape = "shape";
-const std::string kAttrDataType = "dtype";
-const std::string kFileConstantPath = "file_constant_path";
-const std::string kLocation = "location";
-const std::string kOffset = "offset";
+const char *const kAttrShape = "shape";
+const char *const kAttrDataType = "dtype";
+const char *const kFileConstantPath = "file_constant_path";
+const char *const kLocation = "location";
+const char *const kOffset = "offset";
 const int64_t kOffsetCoefficient = 4096;
 const char *const kFileConstant = "FileConstant";
 }
@@ -46,7 +46,7 @@ Status OnnxFileConstantParser::ParseParams(const Message *op_src, ge::Operator &
   GELOGD("Onnx op node name = %s, op type= %s, parse params", node->name().c_str(), node->op_type().c_str());
 
   ge::onnx::TensorProto tensor_proto;
-  if (GetTensorProto(node, tensor_proto) != SUCCESS) {
+  if (GetTensorProto(*node, tensor_proto) != SUCCESS) {
     REPORT_INNER_ERROR("E19999", "node[%s] get tensor failed", node->name().c_str());
     GELOGE(domi::PARAM_INVALID, "[Get][TensorProto] node[%s] get tensor failed", node->name().c_str());
     return FAILED;
@@ -65,29 +65,29 @@ Status OnnxFileConstantParser::ParseParams(const Message *op_src, ge::Operator &
   return SUCCESS;
 }
 
-Status OnnxFileConstantParser::GetTensorProto(const ge::onnx::NodeProto *node_proto,
-                                              ge::onnx::TensorProto &tensor_proto) {
-  for (const auto &it : node_proto->attribute()) {
+Status OnnxFileConstantParser::GetTensorProto(const ge::onnx::NodeProto &node_proto,
+                                              ge::onnx::TensorProto &tensor_proto) const {
+  for (const auto &it : node_proto.attribute()) {
     if (it.name() != ge::kAttrNameValue) {
       continue;
     }
     tensor_proto = it.t();
     return SUCCESS;
   }
-  REPORT_INNER_ERROR("E19999", "node_proto[%s] get value failed", node_proto->name().c_str());
-  GELOGE(ge::PARAM_INVALID, "[Get][TensorProto] node_proto[%s] get value failed", node_proto->name().c_str());
+  REPORT_INNER_ERROR("E19999", "node_proto[%s] get value failed", node_proto.name().c_str());
+  GELOGE(ge::PARAM_INVALID, "[Get][TensorProto] node_proto[%s] get value failed", node_proto.name().c_str());
   return FAILED;
 }
 
-void OnnxFileConstantParser::ParseShape(const ge::onnx::TensorProto &tensor_proto, ge::Operator &op_def) {
+void OnnxFileConstantParser::ParseShape(const ge::onnx::TensorProto &tensor_proto, ge::Operator &op_def) const {
   std::vector<int64_t> tmp_shape;
   for (int i = 0; i < tensor_proto.dims_size(); i++) {
     tmp_shape.push_back(tensor_proto.dims(i));
   }
-  op_def.SetAttr(kAttrShape.c_str(), tmp_shape);
+  op_def.SetAttr(kAttrShape, tmp_shape);
 }
 
-Status OnnxFileConstantParser::ParseDataType(const ge::onnx::TensorProto &tensor_proto, ge::Operator &op_def) {
+Status OnnxFileConstantParser::ParseDataType(const ge::onnx::TensorProto &tensor_proto, ge::Operator &op_def) const {
   int64_t data_type = tensor_proto.data_type();
   ge::DataType type = ge::OnnxUtil::ConvertOnnxDataType(data_type);
   if (type >= ge::DataType::DT_UNDEFINED) {
@@ -96,11 +96,11 @@ Status OnnxFileConstantParser::ParseDataType(const ge::onnx::TensorProto &tensor
     return FAILED;
   }
 
-  op_def.SetAttr(kAttrDataType.c_str(), type);
+  op_def.SetAttr(kAttrDataType, type);
   return SUCCESS;
 }
 
-Status OnnxFileConstantParser::ParsePath(const ge::onnx::TensorProto &tensor_proto, ge::Operator &op_def) {
+Status OnnxFileConstantParser::ParsePath(const ge::onnx::TensorProto &tensor_proto, ge::Operator &op_def) const {
   ge::NamedAttrs attrs;
   for (int32_t i = 0; i < tensor_proto.external_data_size(); ++i) {
     const ge::onnx::StringStringEntryProto &string_proto = tensor_proto.external_data(i);
@@ -116,12 +116,12 @@ Status OnnxFileConstantParser::ParsePath(const ge::onnx::TensorProto &tensor_pro
     GELOGE(domi::PARAM_INVALID, "external tensor proto[%s] must contain location.", tensor_proto.name().c_str());
     return FAILED;
   }
-  op_def.SetAttr(kFileConstantPath.c_str(), attrs);
+  op_def.SetAttr(kFileConstantPath, attrs);
   return SUCCESS;
 }
 
 Status OnnxFileConstantParser::SetPathAttr(const ge::onnx::StringStringEntryProto &string_proto,
-                                           ge::NamedAttrs &attrs) {
+                                           ge::NamedAttrs &attrs) const {
   if (string_proto.key() == kLocation) {
     AttrUtils::SetStr(attrs, kLocation, string_proto.value());
   } else {
@@ -134,7 +134,7 @@ Status OnnxFileConstantParser::SetPathAttr(const ge::onnx::StringStringEntryProt
       return FAILED;
     }
     if (string_proto.key() == kOffset) {
-      if (std::numeric_limits<int64_t>::max() / kOffsetCoefficient < value) {
+      if (value > (std::numeric_limits<int64_t>::max() / kOffsetCoefficient)) {
         REPORT_INNER_ERROR("E19999", "overflow, kOffsetCoefficient[%ld], value[%ld]", kOffsetCoefficient, value);
         GELOGE(domi::PARAM_INVALID, "overflow, kOffsetCoefficient[%ld], value[%ld]", kOffsetCoefficient, value);
         return FAILED;

parser/onnx/onnx_file_constant_parser.h

@@ -26,11 +26,11 @@ class PARSER_FUNC_VISIBILITY OnnxFileConstantParser : public OnnxOpParser {
   Status ParseParams(const Message *op_src, ge::Operator &op_def) override;
 
  private:
-  Status ParsePath(const ge::onnx::TensorProto &tensor_proto, ge::Operator &op_def);
-  Status ParseDataType(const ge::onnx::TensorProto &tensor_proto, ge::Operator &op_def);
-  void ParseShape(const ge::onnx::TensorProto &tensor_proto, ge::Operator &op_def);
-  Status GetTensorProto(const ge::onnx::NodeProto *node_proto, ge::onnx::TensorProto &tensor_proto);
-  Status SetPathAttr(const ge::onnx::StringStringEntryProto &string_proto, ge::NamedAttrs &attrs);
+  Status ParsePath(const ge::onnx::TensorProto &tensor_proto, ge::Operator &op_def) const;
+  Status ParseDataType(const ge::onnx::TensorProto &tensor_proto, ge::Operator &op_def) const;
+  void ParseShape(const ge::onnx::TensorProto &tensor_proto, ge::Operator &op_def) const;
+  Status GetTensorProto(const ge::onnx::NodeProto &node_proto, ge::onnx::TensorProto &tensor_proto) const;
+  Status SetPathAttr(const ge::onnx::StringStringEntryProto &string_proto, ge::NamedAttrs &attrs) const;
 };
 }  // namespace ge
 

parser/onnx/onnx_parser.cc

@@ -232,7 +232,8 @@ Status PostOpProcessForSubgraph(const ParseArg &arg, ge::ComputeGraphPtr sub_gra
       domi::OpRegistry::Instance()->GetParseSubgraphPostFunc(op_type);
   if (post_func == nullptr) {
     GELOGW("The subgraph post func for node %s type %s is null", op_name.c_str(), op_type.c_str());
-    if (domi::OpRegistry::Instance()->GetParseSubgraphPostFunc(op_type, parse_func_v2) != SUCCESS || parse_func_v2 == nullptr) {
+    if (domi::OpRegistry::Instance()->GetParseSubgraphPostFunc(op_type, parse_func_v2) != SUCCESS ||
+        parse_func_v2 == nullptr) {
       GELOGW("The subgraph post func v2 for node %s type %s is null", op_name.c_str(), op_type.c_str());
       return SUCCESS;
     }
@@ -522,9 +523,9 @@ Status OnnxModelParser::SetOperatorInputs() {
         auto src_op = output_op_iter->second;
         int dst_index = input_node_index.second;
         int src_index = out_node_index.second;
-        GELOGI("Start add output:%d of op:%s as input:%d of op:%s.", src_index,
-               ParserUtils::GetOperatorName(src_op).c_str(), dst_index,
-               ParserUtils::GetOperatorName(dst_op).c_str());
+        GELOGI("Start add output:%d of op:%s as input:%d of op:%s.",
+               src_index, ParserUtils::GetOperatorName(src_op).c_str(),
+               dst_index, ParserUtils::GetOperatorName(dst_op).c_str());
         auto dst_op_desc = ge::OpDescUtils::GetOpDescFromOperator(dst_op);
         GE_CHECK_NOTNULL(dst_op_desc);
         auto src_op_desc = ge::OpDescUtils::GetOpDescFromOperator(src_op);
@@ -689,7 +690,8 @@ Status OnnxModelParser::GetGraphInputs(ge::onnx::GraphProto &onnx_graph, std::ve
       return PARAM_INVALID;
     }
     input_ops.emplace_back(in_op->second);
-    GELOGI("Model assigned input node name: %s", ParserUtils::GetOperatorName(in_op->second).c_str());
+    GELOGI("Model assigned input node name: %s",
+           ParserUtils::GetOperatorName(in_op->second).c_str());
   }
     return SUCCESS;
 }
@@ -717,7 +719,7 @@ Status OnnxModelParser::GetGraphOutputs(std::vector<std::pair<Operator, std::vec
       int index = node_name_index.second;
       output_ops.emplace_back(out_op_itr->second, vector<size_t>{static_cast<size_t>(index)});
       out_tensor_to_nodes[output_name] = std::make_pair(node_name, index);
-      GELOGI("out node index %d, node:%s", index, node_name.c_str());
+      GELOGI("Out node index %d, node:%s", index, node_name.c_str());
     }
   }
   return SUCCESS;
@@ -934,16 +936,13 @@ Status OnnxModelParser::ModelParseToGraph(const ge::onnx::ModelProto &onnx_model
                         cur_compute_graph->GetName().c_str());
       return ret;
     }
-
   }
   UpdateDataFormat(root_graph);
   return SUCCESS;
 }
 
 Status OnnxModelParser::ModelParseToGraphImpl(bool is_subgraph, ge::onnx::GraphProto &onnx_graph, ge::Graph &graph) {
-
   ClearMembers();
-
   GE_RETURN_WITH_LOG_IF_ERROR(ProtoTypePassManager::Instance().Run(&onnx_graph, domi::ONNX),
                               "Run ProtoType Pass Failed");
   // 1. Get all inializer.
@@ -1174,7 +1173,8 @@ Status OnnxModelParser::SetOutputsInfo(const ParserUtils::OutputMapping &final_o
     default_out_nodes.emplace_back(output_node_info);
     output_tensor_names.emplace_back(tensor_name);
     GELOGI("[Default]Add network output node[%s], index[%d], tensor name[%s].",
-           output_node_info.first.c_str(), output_node_info.second, tensor_name.c_str());
+           output_node_info.first.c_str(),
+           output_node_info.second, tensor_name.c_str());
   }
   return SUCCESS;
 }

parser/onnx/onnx_util.h

@@ -17,6 +17,8 @@
 #ifndef PARSER_ONNX_ONNX_UTIL_PARSER_H_
 #define PARSER_ONNX_ONNX_UTIL_PARSER_H_
 
+#include <string>
+#include <cstdint>
 #include "external/graph/types.h"
 
 namespace OnnxDataType {
@@ -59,4 +61,4 @@ class OnnxUtil {
 };
 }  // namespace ge
 
-#endif //PARSER_ONNX_ONNX_UTIL_PARSER_H_
+#endif // PARSER_ONNX_ONNX_UTIL_PARSER_H_

parser/onnx/subgraph_adapter/if_subgraph_adapter.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2020~2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -25,6 +25,7 @@ using parser::IF;
 namespace {
 const std::map<std::string, int> kAttrNameToIndex = {{"then_branch", 0}, {"else_branch", 1}};
 const int kIfNodeAttrSize = 2;
+const char *kIf = "If";
 }  // namespace
 domi::Status IfSubgraphAdapter::AdaptAndFindAllSubgraphs(
     ge::onnx::NodeProto *parent_node, std::vector<ge::onnx::GraphProto *> &onnx_graphs,
@@ -33,7 +34,7 @@ domi::Status IfSubgraphAdapter::AdaptAndFindAllSubgraphs(
   GELOGI("Onnx parent node name=%s, op type=%s, adapt subgraph.", parent_node->name().c_str(),
          parent_node->op_type().c_str());
 
-  auto ret = ParseIfNodeSubgraphs(parent_node, onnx_graphs, name_to_onnx_graph, parent_graph_name);
+  auto ret = ParseIfNodeSubgraphs(*parent_node, onnx_graphs, name_to_onnx_graph, parent_graph_name);
   if (ret != SUCCESS) {
     GELOGE(ret, "[Parse][Node] Parse if node failed.");
     REPORT_CALL_ERROR("E19999", "[Parse][Node] Parse if node:%s failed.", parent_node->name().c_str());
@@ -44,19 +45,19 @@ domi::Status IfSubgraphAdapter::AdaptAndFindAllSubgraphs(
 }
 
 domi::Status IfSubgraphAdapter::ParseIfNodeSubgraphs(
-    ge::onnx::NodeProto *parent_node, std::vector<ge::onnx::GraphProto *> &onnx_graphs,
+    ge::onnx::NodeProto &parent_node, std::vector<ge::onnx::GraphProto *> &onnx_graphs,
     std::map<std::string, ge::onnx::GraphProto *> &name_to_onnx_graph, const std::string &parent_graph_name) const {
-  if (parent_node->attribute_size() != kIfNodeAttrSize) {
-    GELOGE(FAILED, "[Parse][Node] Invalid graph, if node attribute size:%d must be 2.", parent_node->attribute_size());
-    REPORT_INNER_ERROR("E19999", "Invalid graph, if node attribute size:%d must be 2.", parent_node->attribute_size());
+  if (parent_node.attribute_size() != kIfNodeAttrSize) {
+    GELOGE(FAILED, "[Parse][Node] Invalid graph, if node attribute size:%d must be 2.", parent_node.attribute_size());
+    REPORT_INNER_ERROR("E19999", "Invalid graph, if node attribute size:%d must be 2.", parent_node.attribute_size());
     return FAILED;
   }
 
-  GELOGD("node attribute size:%d.", parent_node->attribute_size());
+  GELOGD("node attribute size:%d.", parent_node.attribute_size());
   std::set<std::string> all_inputs;
   // for onnx graph, the first attribute may be else branch and the second attribute may be then branch
-  for (int i = 0; i < parent_node->attribute_size(); i++) {
-    ge::onnx::AttributeProto *attribute = parent_node->mutable_attribute(i);
+  for (int i = 0; i < parent_node.attribute_size(); i++) {
+    ge::onnx::AttributeProto *attribute = parent_node.mutable_attribute(i);
     GE_CHECK_NOTNULL(attribute);
     std::string attr_name = attribute->name();
     auto itr = kAttrNameToIndex.find(attr_name);
@@ -68,7 +69,7 @@ domi::Status IfSubgraphAdapter::ParseIfNodeSubgraphs(
       return FAILED;
     }
     std::string unique_subgraph_name;
-    std::string node_name = parent_node->name();
+    std::string node_name = parent_node.name();
     if (!parent_graph_name.empty()) {
       node_name = OnnxUtil::GenUniqueNodeName(parent_graph_name, node_name);
     }
@@ -90,7 +91,7 @@ domi::Status IfSubgraphAdapter::ParseIfNodeSubgraphs(
     AddInputNodeForGraph(all_inputs, *onnx_graph);
   }
 
-  AddInputForParentNode(all_inputs, *parent_node);
+  AddInputForParentNode(all_inputs, parent_node);
   return SUCCESS;
 }
 
@@ -135,5 +136,5 @@ void IfSubgraphAdapter::AddInputForParentNode(const std::set<std::string> &all_i
     parent_node.add_input(input_name);
   }
 }
-REGISTER_SUBGRAPH_ADAPTER_CREATOR(IF, IfSubgraphAdapter);
+REGISTER_SUBGRAPH_ADAPTER_CREATOR(kIf, IfSubgraphAdapter);
 }  // namespace ge

parser/onnx/subgraph_adapter/if_subgraph_adapter.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2020~2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -20,6 +20,7 @@
 #include <set>
 #include <string>
 #include "subgraph_adapter.h"
+#include "parser/onnx/onnx_util.h"
 
 namespace ge {
 class PARSER_FUNC_VISIBILITY IfSubgraphAdapter : public SubgraphAdapter {
@@ -30,7 +31,7 @@ class PARSER_FUNC_VISIBILITY IfSubgraphAdapter : public SubgraphAdapter {
                                         const std::string &parent_graph_name = "") override;
 
  private:
-  domi::Status ParseIfNodeSubgraphs(ge::onnx::NodeProto *parent_node, std::vector<ge::onnx::GraphProto *> &onnx_graphs,
+  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,
                                     const std::string &parent_graph_name) const;
   domi::Status GetSubgraphsAllInputs(ge::onnx::GraphProto &onnx_graph, std::set<std::string> &all_inputs) const;

parser/onnx/subgraph_adapter/subgraph_adapter.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2020~2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -36,8 +36,6 @@
 #include "proto/onnx/ge_onnx.pb.h"
 #include "external/register/register_error_codes.h"
 #include "framework/omg/parser/parser_types.h"
-#include "parser/onnx/onnx_util.h"
-
 namespace ge {
 class PARSER_FUNC_VISIBILITY SubgraphAdapter {
  public:

parser/onnx/subgraph_adapter/subgraph_adapter_factory.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2020~2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/onnx/subgraph_adapter/subgraph_adapter_factory.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2020~2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -62,7 +62,6 @@ protected:
    * @brief SubgraphAdapter creation function
    * @return Created SubgraphAdapter
    */
-  // typedef shared_ptr<SubgraphAdapter> (*CREATOR_FUN)(void);
   using CREATOR_FUN = std::function<std::shared_ptr<SubgraphAdapter>(void)>;
 
   /**
@@ -105,7 +104,7 @@ public:
  * @param [in] op_type      Op type
  * @param [in] clazz        SubgraphAdapter implementation class
  */
-#define REGISTER_SUBGRAPH_ADAPTER_CREATOR(op_type, clazz)                       \
+#define REGISTER_SUBGRAPH_ADAPTER_CREATOR(op_type, clazz)                         \
   std::shared_ptr<SubgraphAdapter> Creator_##op_type##_Subgraph_Adapter() {     \
     std::shared_ptr<clazz> ptr(new (std::nothrow) clazz());                     \
     if (ptr == nullptr) {                                                       \

parser/stub/gen_stubapi.py

@@ -167,6 +167,33 @@ class H2CC(object):
         del self.stack_template
         del self.func_list_exist
 
+    @staticmethod
+    def implement_function(func):
+        function_def = ''
+        function_def += '{\n'
+
+        all_items = func.split()
+        start = 0
+        return_type = all_items[start]
+        if return_type == "const":
+            start += 1
+            return_type = all_items[start]
+        if return_type.startswith(('std::map', 'std::set', 'std::vector')):
+            return_type = "std::map"
+        if return_type.endswith('*') or (len(all_items) > start + 1 and all_items[start + 1].startswith('*')):
+            return_type = "Ptr"
+        if len(all_items) > start + 1 and all_items[start + 1].startswith('&'):
+            return_type += "&"
+        if RETURN_STATEMENTS.__contains__(return_type):
+            function_def += RETURN_STATEMENTS[return_type]
+        else:
+            logging.warning("Unhandled return type[%s]", return_type)
+
+        function_def += '\n'
+        function_def += '}\n'
+        function_def += '\n'
+        return function_def
+
     def just_skip(self):
         # skip blank line or comment
         if pattern_blank_line.search(self.input_content[self.line_index]) or pattern_comment.search(
@@ -263,6 +290,7 @@ class H2CC(object):
         logging.info('Added %s functions', len(self.func_list_exist))
         logging.info('Successfully converted,please see ' + self.output_file)
 
+
     def handle_func1(self, line):
         """
         :param line:
@@ -461,12 +489,6 @@ class H2CC(object):
         logging.info("func_name[%s]", func_name)
         return line, func_name
 
-    def write_func_content(self, content, func_name, need_generate):
-        if not (func_name in self.func_list_exist) and need_generate:
-            self.output_fd.write(content)
-            self.func_list_exist.append(func_name)
-            logging.info('add func:[%s]', func_name)
-
     def gen_comment(self, start_i):
         comment_line = ''
         # Function comments are on top of function declarations, copy them over
@@ -488,32 +510,11 @@ class H2CC(object):
                     break
         return comment_line
 
-    @staticmethod
-    def implement_function(func):
-        function_def = ''
-        function_def += '{\n'
-
-        all_items = func.split()
-        start = 0
-        return_type = all_items[start]
-        if return_type == "const":
-            start += 1
-            return_type = all_items[start]
-        if return_type.startswith(('std::map', 'std::set', 'std::vector')):
-            return_type = "std::map"
-        if return_type.endswith('*') or (len(all_items) > start + 1 and all_items[start + 1].startswith('*')):
-            return_type = "Ptr"
-        if len(all_items) > start + 1 and all_items[start + 1].startswith('&'):
-            return_type += "&"
-        if RETURN_STATEMENTS.__contains__(return_type):
-            function_def += RETURN_STATEMENTS[return_type]
-        else:
-            logging.warning("Unhandled return type[%s]", return_type)
-
-        function_def += '\n'
-        function_def += '}\n'
-        function_def += '\n'
-        return function_def
+    def write_func_content(self, content, func_name, need_generate):
+        if not (func_name in self.func_list_exist) and need_generate:
+            self.output_fd.write(content)
+            self.func_list_exist.append(func_name)
+            logging.info('add func:[%s]', func_name)
 
 
 def collect_header_files(path):

parser/tensorflow/graph_functiondef.cc → parser/tensorflow/graph_to_function_def.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+* Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -14,7 +14,7 @@
  * limitations under the License.
  */
 
-#include "graph_functiondef.h"
+#include "graph_to_function_def.h"
 #include <iostream>
 #include "common/fmk_error_codes.h"
 #include "graph/debug/ge_attr_define.h"

parser/tensorflow/graph_functiondef.h → parser/tensorflow/graph_to_function_def.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/tensorflow/iterator_fusion_pass.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -20,7 +20,7 @@
 
 #include "framework/omg/parser/parser_types.h"
 #include "common/util.h"
-#include "graph_optimizer.h"
+#include "parser_graph_optimizer.h"
 #include "framework/common/ge_inner_error_codes.h"
 
 namespace ge {

parser/tensorflow/iterator_fusion_pass.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/tensorflow/graph_optimizer.cc → parser/tensorflow/parser_graph_optimizer.cc

@@ -14,14 +14,14 @@
  * limitations under the License.
  */
 
-#include "graph_optimizer.h"
+#include "parser_graph_optimizer.h"
 #include "graph/op_types.h"
 #include "common/types_map.h"
 #include "common/util.h"
 #include "framework/omg/parser/parser_inner_ctx.h"
 #include "graph/debug/ge_attr_define.h"
 #include "graph/utils/type_utils.h"
-#include "graph_functiondef.h"
+#include "graph_to_function_def.h"
 #include "parser/common/acl_graph_parser_util.h"
 #include "register/op_registry.h"
 
@@ -188,7 +188,10 @@ Status CollectNodeFuncs(vector<ge::NodePtr> &nodes, FunctionDefLibrary *library)
 
 Status ParserGraphOptimizer::UpdateGraph(vector<NodePtr> &nodes) {
   ComputeGraphPtr sub_graph = nullptr;
-  GE_MAKE_SHARED(sub_graph = std::make_shared<ComputeGraph>("subGraph"), sub_graph = nullptr; return PARAM_INVALID);
+  GE_MAKE_SHARED(
+      sub_graph = std::make_shared<ComputeGraph>("subGraph"),
+      sub_graph = nullptr;
+      return PARAM_INVALID);
 
   unordered_map<string, NodePtr> node_map;
   vector<InDataAnchorPtr> input_anchors;

parser/tensorflow/graph_optimizer.h → parser/tensorflow/parser_graph_optimizer.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/tensorflow/scope/scope_pass_manager.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/tensorflow/scope/scope_pass_manager.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/tensorflow/tensorflow_arg_parser.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -14,7 +14,7 @@
  * limitations under the License.
  */
 
-#include "parser/common/op_def/arg_op.h"
+#include "parser/common/op_def/arg_op_operator.h"
 #include "framework/common/debug/ge_log.h"
 #include "framework/omg/parser/parser_inner_ctx.h"
 #include "graph/compute_graph.h"

parser/tensorflow/tensorflow_auto_mapping_parser_adapter.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/tensorflow/tensorflow_auto_mapping_parser_adapter.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

parser/tensorflow/tensorflow_constant_parser.cc

@@ -19,7 +19,7 @@
 #include <memory>
 #include <vector>
 #include "parser/common/acl_graph_parser_util.h"
-#include "parser/common/op_def/constant_op.h"
+#include "parser/common/op_def/constant_operator.h"
 #include "parser/common/op_def/ir_pb_converter.h"
 #include "parser/common/util.h"
 #include "framework/common/debug/ge_log.h"

parser/tensorflow/tensorflow_constant_parser.h

@@ -17,7 +17,7 @@
 #ifndef GE_PARSER_TENSORFLOW_TENSORFLOW_CONSTANT_PARSER_H_
 #define GE_PARSER_TENSORFLOW_TENSORFLOW_CONSTANT_PARSER_H_
 
-#include "common/op_def/constant_op.h"
+#include "common/op_def/constant_operator.h"
 #include "parser/common/data_op_parser.h"
 #include "parser/tensorflow/tensorflow_op_parser.h"
 

parser/tensorflow/tensorflow_fill_parser.cc

@@ -14,7 +14,7 @@
  * limitations under the License.
  */
 
-#include "parser/common/op_def/fill_op.h"
+#include "parser/common/op_def/fill_operator.h"
 #include "parser/tensorflow/tensorflow_parser_register.h"
 #include "framework/omg/parser/parser_types.h"
 

parser/tensorflow/tensorflow_frameworkop_parser.cc

@@ -14,7 +14,7 @@
  * limitations under the License.
  */
 
-#include "parser/common/op_def/frameworkop_op.h"
+#include "parser/common/op_def/framework_op_operator.h"
 #include "framework/common/debug/ge_log.h"
 #include "parser/common/op_parser_factory.h"
 #include "framework/omg/parser/parser_types.h"

parser/tensorflow/tensorflow_no_op_parser.cc

@@ -18,7 +18,7 @@
 #include "common/util.h"
 #include "framework/common/debug/ge_log.h"
 #include "parser/common/op_def/ir_pb_converter.h"
-#include "parser/common/op_def/no_op_op.h"
+#include "parser/common/op_def/no_op_operator.h"
 #include "parser/common/op_parser_factory.h"
 
 using domi::TENSORFLOW;

parser/tensorflow/tensorflow_ref_switch_parser.cc

@@ -17,7 +17,7 @@
 #include "parser/tensorflow/tensorflow_ref_switch_parser.h"
 #include "framework/common/debug/ge_log.h"
 #include "parser/common/op_def/ir_pb_converter.h"
-#include "parser/common/op_def/ref_switch_op.h"
+#include "parser/common/op_def/ref_switch_operator.h"
 #include "parser/common/op_parser_factory.h"
 #include "parser/common/util.h"
 

parser/tensorflow/tensorflow_ref_switch_parser.h

@@ -17,7 +17,7 @@
 #ifndef DOMI_OMG_PARSER_OP_PARSER_TENSORFLOW_REF_SWITCH_H_
 #define DOMI_OMG_PARSER_OP_PARSER_TENSORFLOW_REF_SWITCH_H_
 
-#include "common/op_def/ref_switch_op.h"
+#include "common/op_def/ref_switch_operator.h"
 #include "parser/tensorflow/tensorflow_op_parser.h"
 
 namespace ge {

parser/tensorflow/tensorflow_shape_n_parser.cc

@@ -18,7 +18,7 @@
 #include "parser/common/op_def/ir_pb_converter.h"
 #include "framework/common/debug/ge_log.h"
 #include "parser/common/op_parser_factory.h"
-#include "parser/common/op_def/shape_n_op.h"
+#include "parser/common/op_def/shape_n_operator.h"
 #include "parser/common/util.h"
 
 using domi::TENSORFLOW;

parser/tensorflow/tensorflow_shape_n_parser.h

@@ -17,7 +17,7 @@
 #ifndef DOMI_OMG_PARSER_OP_PARSER_TENSORFLOW_SHAPE_N_H_
 #define DOMI_OMG_PARSER_OP_PARSER_TENSORFLOW_SHAPE_N_H_
 
-#include "common/op_def/shape_n_op.h"
+#include "common/op_def/shape_n_operator.h"
 #include "parser/tensorflow/tensorflow_op_parser.h"
 
 namespace ge {

parser/tensorflow/tensorflow_var_is_initialized_op_parser.cc

@@ -15,7 +15,7 @@
  */
 
 #include "framework/common/debug/ge_log.h"
-#include "parser/common/op_def/var_is_initialized_op_op.h"
+#include "parser/common/op_def/var_is_initialized_op_operator.h"
 #include "parser/common/op_parser_factory.h"
 #include "parser/tensorflow/tensorflow_op_parser.h"
 #include "parser/tensorflow/tensorflow_parser_register.h"

parser/tensorflow/tensorflow_variable_v2_parser.cc

@@ -21,7 +21,7 @@
 #include "graph/op_desc.h"
 #include "graph/utils/attr_utils.h"
 #include "graph/utils/tensor_utils.h"
-#include "parser/common/op_def/variable_op.h"
+#include "parser/common/op_def/variable_operator.h"
 #include "parser/common/op_parser_factory.h"
 #include "parser/tensorflow/tensorflow_op_parser.h"
 #include "parser/tensorflow/tensorflow_parser_register.h"

tests/st/CMakeLists.txt

@@ -249,17 +249,17 @@ set(PARSER_SRC_FILES
     "${PARSER_DIR}/parser/common/convert/message2operator.cc"
     "${PARSER_DIR}/parser/common/data_op_parser.cc"
     "${PARSER_DIR}/parser/common/model_saver.cc"
-    "${PARSER_DIR}/parser/common/op_def/arg_op.cc"
-    "${PARSER_DIR}/parser/common/op_def/constant_op.cc"
-    "${PARSER_DIR}/parser/common/op_def/fill_op.cc"
-    "${PARSER_DIR}/parser/common/op_def/frameworkop_op.cc"
+    "${PARSER_DIR}/parser/common/op_def/arg_op_operator.cc"
+    "${PARSER_DIR}/parser/common/op_def/constant_operator.cc"
+    "${PARSER_DIR}/parser/common/op_def/fill_operator.cc"
+    "${PARSER_DIR}/parser/common/op_def/framework_op_operator.cc"
     "${PARSER_DIR}/parser/common/op_def/ir_pb_converter.cc"
-    "${PARSER_DIR}/parser/common/op_def/no_op_op.cc"
+    "${PARSER_DIR}/parser/common/op_def/no_op_operator.cc"
     "${PARSER_DIR}/parser/common/op_def/operator.cc"
-    "${PARSER_DIR}/parser/common/op_def/ref_switch_op.cc"
-    "${PARSER_DIR}/parser/common/op_def/shape_n_op.cc"
-    "${PARSER_DIR}/parser/common/op_def/variable_op.cc"
-    "${PARSER_DIR}/parser/common/op_def/var_is_initialized_op_op.cc"
+    "${PARSER_DIR}/parser/common/op_def/ref_switch_operator.cc"
+    "${PARSER_DIR}/parser/common/op_def/shape_n_operator.cc"
+    "${PARSER_DIR}/parser/common/op_def/variable_operator.cc"
+    "${PARSER_DIR}/parser/common/op_def/var_is_initialized_op_operator.cc"
     "${PARSER_DIR}/parser/common/op_map.cc"
     "${PARSER_DIR}/parser/common/op_parser_factory.cc"
     "${PARSER_DIR}/parser/common/parser_api.cc"
@@ -284,8 +284,8 @@ set(PARSER_SRC_FILES
     "${PARSER_DIR}/parser/onnx/onnx_util.cc"
     "${PARSER_DIR}/parser/onnx/subgraph_adapter/if_subgraph_adapter.cc"
     "${PARSER_DIR}/parser/onnx/subgraph_adapter/subgraph_adapter_factory.cc"
-    "${PARSER_DIR}/parser/tensorflow/graph_functiondef.cc"
-    "${PARSER_DIR}/parser/tensorflow/graph_optimizer.cc"
+    "${PARSER_DIR}/parser/tensorflow/graph_to_function_def.cc"
+    "${PARSER_DIR}/parser/tensorflow/parser_graph_optimizer.cc"
     "${PARSER_DIR}/parser/tensorflow/iterator_fusion_pass.cc"
     "${PARSER_DIR}/parser/tensorflow/scope/scope_pass_manager.cc"
     "${PARSER_DIR}/parser/tensorflow/tensorflow_arg_parser.cc"

tests/st/testcase/test_caffe_parser.cc

@@ -765,7 +765,7 @@ TEST_F(STestCaffeParser, CaffeWeightsParser_CheckLayersSize_test)
   layer->set_name("Abs");
   layer->set_type("AbsVal");
 
-  Status ret = weightParser.CheckLayersSize(layer);
+  Status ret = weightParser.CheckLayersSize(*layer);
   EXPECT_EQ(ret, FAILED);
 }
 
@@ -809,8 +809,54 @@ TEST_F(STestCaffeParser, CaffeWeightsParser_ParseLayerParameter_test)
   const google::protobuf::Message *proto = factory.GetPrototype(descriptor);
   const google::protobuf::Message *message = proto->New();
 
-  Status ret = weightParser.ParseLayerParameter(descriptor, message, compute_graph);
+  Status ret = weightParser.ParseLayerParameter(*descriptor, *message, compute_graph);
   delete message;
   EXPECT_EQ(ret, SUCCESS);
 }
+
+TEST_F(STestCaffeParser, CaffeModelParser_ParseInput_test_DimSize_0)
+{
+  CaffeModelParser modelParser;
+  domi::caffe::NetParameter net;
+  net.add_input("111");
+  net.add_input_shape();
+  bool input_data_flag = true;
+  Status ret = modelParser.ParseInput(net, input_data_flag);
+  EXPECT_EQ(ret, SUCCESS);
+}
+
+TEST_F(STestCaffeParser, CaffeModelParser_ParseInput_test_Err1)
+{
+  CaffeModelParser modelParser;
+  domi::caffe::NetParameter net;
+  net.add_input("111");
+  net.add_input("222");
+  net.add_input_shape();
+  bool input_data_flag = true;
+  Status ret = modelParser.ParseInput(net, input_data_flag);
+  EXPECT_EQ(ret, FAILED);
+}
+
+TEST_F(STestCaffeParser, CaffeModelParser_ParserLayerParameter_Succ)
+{
+  CaffeModelParser modelParser;
+  std::string case_dir = __FILE__;
+  case_dir = case_dir.substr(0, case_dir.find_last_of("/"));
+  std::string model_file = case_dir + "/origin_models/";
+  const char *model_path = model_file.c_str();
+
+  std::string custom_proto = model_file;
+  std::string caffe_proto = model_file;
+  std::vector<ge::Operator> operators;
+  ge::OpDescPtr op_desc_src = std::make_shared<ge::OpDesc>("Data", "Input");
+  ge::Operator op_src = ge::OpDescUtils::CreateOperatorFromOpDesc(op_desc_src);
+  operators.emplace_back(op_src);
+
+  model_file = case_dir + "/origin_models/caffe_add.pbtxt";
+  custom_proto = case_dir + "/../../../metadef/proto/caffe/caffe.proto";
+  model_path = model_file.c_str();
+  std::string caffe_proto_path = case_dir + "/../../../metadef/proto/caffe/caffe.proto";
+  auto ret = modelParser.CustomProtoParse(model_path, custom_proto, caffe_proto_path, operators);
+  EXPECT_EQ(ret, SUCCESS);
+}
 } // namespace ge

tests/st/testcase/test_tensorflow_parser.cc

@@ -34,17 +34,17 @@
 #include "external/parser/tensorflow_parser.h"
 #include "parser/tensorflow/tensorflow_constant_parser.h"
 #include "common/types.h"
-#include "parser/common/op_def/variable_op.h"
+#include "parser/common/op_def/variable_operator.h"
 #include "parser/tensorflow/tensorflow_ref_switch_parser.h"
 #include "parser/tensorflow/tensorflow_fusion_op_parser.h"
 #include "parser/tensorflow/tensorflow_auto_mapping_parser_adapter.h"
-#include "parser/common/op_def/arg_op.h"
+#include "parser/common/op_def/arg_op_operator.h"
 #include "parser/tensorflow/tensorflow_fusion_custom_parser_adapter.h"
 #include "parser/tensorflow/tensorflow_reshape_parser.h"
 #include "parser/tensorflow/tensorflow_custom_parser_adapter.h"
 #include "parser/tensorflow/tensorflow_squeeze_parser.h"
-#include "parser/tensorflow/graph_functiondef.h"
-#include "parser/tensorflow/graph_optimizer.h"
+#include "parser/tensorflow/graph_to_function_def.h"
+#include "parser/tensorflow/parser_graph_optimizer.h"
 #include "cce/dnn_base_def.hpp"
 #include "parser/tensorflow/scope/scope_pass_manager.h"
 #include "parser/tensorflow/tensorflow_util.h"
@@ -52,10 +52,10 @@
 #include "parser/tensorflow/tensorflow_enter_parser.h"
 #include "parser/common/op_def/ir_pb_converter.h"
 #include "parser/common/tuple.h"
-#include "common/op_def/frameworkop_op.h"
-#include "common/op_def/shape_n_op.h"
-#include "common/op_def/var_is_initialized_op_op.h"
-#include "common/op_def/fill_op.h"
+#include "common/op_def/framework_op_operator.h"
+#include "common/op_def/shape_n_operator.h"
+#include "common/op_def/var_is_initialized_op_operator.h"
+#include "common/op_def/fill_operator.h"
 #include "common/convert/pb2json.h"
 #include "common/convert/message2operator.h"
 #include "parser/common/proto_file_parser.h"
@@ -70,7 +70,7 @@
 #include "parser/common/prototype_pass_manager.h"
 #include "parser/common/register_tbe.h"
 #include "parser/common/pass_manager.h"
-#include "parser/tensorflow/graph_optimizer.h"
+#include "parser/tensorflow/parser_graph_optimizer.h"
 #include "metadef/inc/register/scope/scope_pass_registry_impl.h"
 #include "register/scope/scope_fusion_pass_register.h"
 #undef protected
@@ -678,6 +678,7 @@ namespace {
 
     if ((_name== "S") || (_name == "K")) {
       int index = 0;
+
       ge::AttrUtils::SetInt(opDef, "T", 1);
       ge::AttrUtils::SetInt(opDef, "arg_index", index);
       ge::AttrUtils::SetInt(opDef, "ret_index", index);
@@ -1029,7 +1030,9 @@ TEST_F(STestTensorflowParser, tensorflow_parser_success) {
   ParserOperator unused("Add");
   case_dir = case_dir.substr(0, case_dir.find_last_of("/"));
   std::string model_file = case_dir + "/origin_models/tf_add.pb";
-  std::map<ge::AscendString, ge::AscendString> parser_params;
+  std::map<ge::AscendString, ge::AscendString> parser_params = {
+      {ge::AscendString(ge::ir_option::INPUT_DATA_NAMES), ge::AscendString("Placeholder,Placeholder_1")},
+  };
   ge::Graph graph;
   auto ret = ge::aclgrphParseTensorFlow(model_file.c_str(), parser_params, graph);
   ASSERT_EQ(ret, SUCCESS);
@@ -1043,6 +1046,21 @@ TEST_F(STestTensorflowParser, tensorflow_parser_success) {
   EXPECT_EQ(net_out_name.at(0), "add_test_1:0");
 }
 
+TEST_F(STestTensorflowParser, tensorflow_parser_failed_for_input_data_names_error) {
+  RegisterCustomOp();
+
+  std::string case_dir = __FILE__;
+  ParserOperator unused("Add");
+  case_dir = case_dir.substr(0, case_dir.find_last_of("/"));
+  std::string model_file = case_dir + "/origin_models/tf_add.pb";
+  std::map<ge::AscendString, ge::AscendString> parser_params = {
+    {ge::AscendString(ge::ir_option::INPUT_DATA_NAMES), ge::AscendString("Placeholder_1,Placeholder_3")},
+  };
+  ge::Graph graph;
+  auto ret = ge::aclgrphParseTensorFlow(model_file.c_str(), parser_params, graph);
+  ASSERT_EQ(ret, ge::GRAPH_FAILED);
+}
+
 TEST_F(STestTensorflowParser, tensorflow_model_Failed) {
   ge::Graph graph;
   std::string caseDir = __FILE__;

tests/ut/parser/CMakeLists.txt

@@ -250,17 +250,17 @@ set(PARSER_SRC_FILES
     "${PARSER_DIR}/parser/common/convert/message2operator.cc"
     "${PARSER_DIR}/parser/common/data_op_parser.cc"
     "${PARSER_DIR}/parser/common/model_saver.cc"
-    "${PARSER_DIR}/parser/common/op_def/arg_op.cc"
-    "${PARSER_DIR}/parser/common/op_def/constant_op.cc"
-    "${PARSER_DIR}/parser/common/op_def/fill_op.cc"
-    "${PARSER_DIR}/parser/common/op_def/frameworkop_op.cc"
+    "${PARSER_DIR}/parser/common/op_def/arg_op_operator.cc"
+    "${PARSER_DIR}/parser/common/op_def/constant_operator.cc"
+    "${PARSER_DIR}/parser/common/op_def/fill_operator.cc"
+    "${PARSER_DIR}/parser/common/op_def/framework_op_operator.cc"
     "${PARSER_DIR}/parser/common/op_def/ir_pb_converter.cc"
-    "${PARSER_DIR}/parser/common/op_def/no_op_op.cc"
+    "${PARSER_DIR}/parser/common/op_def/no_op_operator.cc"
     "${PARSER_DIR}/parser/common/op_def/operator.cc"
-    "${PARSER_DIR}/parser/common/op_def/ref_switch_op.cc"
-    "${PARSER_DIR}/parser/common/op_def/shape_n_op.cc"
-    "${PARSER_DIR}/parser/common/op_def/variable_op.cc"
-    "${PARSER_DIR}/parser/common/op_def/var_is_initialized_op_op.cc"
+    "${PARSER_DIR}/parser/common/op_def/ref_switch_operator.cc"
+    "${PARSER_DIR}/parser/common/op_def/shape_n_operator.cc"
+    "${PARSER_DIR}/parser/common/op_def/variable_operator.cc"
+    "${PARSER_DIR}/parser/common/op_def/var_is_initialized_op_operator.cc"
     "${PARSER_DIR}/parser/common/op_map.cc"
     "${PARSER_DIR}/parser/common/op_parser_factory.cc"
     "${PARSER_DIR}/parser/common/parser_api.cc"
@@ -285,8 +285,8 @@ set(PARSER_SRC_FILES
     "${PARSER_DIR}/parser/onnx/onnx_util.cc"
     "${PARSER_DIR}/parser/onnx/subgraph_adapter/if_subgraph_adapter.cc"
     "${PARSER_DIR}/parser/onnx/subgraph_adapter/subgraph_adapter_factory.cc"
-    "${PARSER_DIR}/parser/tensorflow/graph_functiondef.cc"
-    "${PARSER_DIR}/parser/tensorflow/graph_optimizer.cc"
+    "${PARSER_DIR}/parser/tensorflow/graph_to_function_def.cc"
+    "${PARSER_DIR}/parser/tensorflow/parser_graph_optimizer.cc"
     "${PARSER_DIR}/parser/tensorflow/iterator_fusion_pass.cc"
     "${PARSER_DIR}/parser/tensorflow/scope/scope_pass_manager.cc"
     "${PARSER_DIR}/parser/tensorflow/tensorflow_arg_parser.cc"

tests/ut/parser/testcase/caffe_parser_testcase/caffe_parser_unittest.cc

@@ -739,6 +739,9 @@ TEST_F(UtestCaffeParser, CaffeModelParser_CustomProtoParse_test)
   Status ret = modelParser.CustomProtoParse(model_path, custom_proto, caffe_proto, operators);
   EXPECT_EQ(ret, PARAM_INVALID);
 
+  ret = modelParser.CustomProtoParse("", custom_proto, caffe_proto, operators);
+  EXPECT_EQ(ret, FAILED);
+
   model_file = case_dir + "/caffe_model/caffe_add.pbtxt";
   custom_proto = case_dir + "/../../../../../metadef/proto/caffe/caffe.proto";
   model_path = model_file.c_str();
@@ -890,7 +893,7 @@ TEST_F(UtestCaffeParser, CaffeWeightsParser_CheckLayersSize_test)
   layer->set_name("Abs");
   layer->set_type("AbsVal");
 
-  Status ret = weightParser.CheckLayersSize(layer);
+  Status ret = weightParser.CheckLayersSize(*layer);
   EXPECT_EQ(ret, FAILED);
 }
 
@@ -902,7 +905,7 @@ TEST_F(UtestCaffeParser, CaffeWeightsParser_ConvertLayerProto_test)
   layer->set_name("Abs");
   layer->set_type("AbsVal");
 
-  Status ret = weightParser.ConvertLayerProto(&net, &net);
+  Status ret = weightParser.ConvertLayerProto(net, &net);
   EXPECT_EQ(ret, SUCCESS);
 
   BlobProto* blob = layer->add_blobs();
@@ -911,16 +914,16 @@ TEST_F(UtestCaffeParser, CaffeWeightsParser_ConvertLayerProto_test)
   BlobShape* shap = blob->mutable_shape();
   shap->add_dim(1);
   shap->add_dim(2);
-  ret = weightParser.ConvertBlobsProto(&net, &net);
+  ret = weightParser.ConvertBlobsProto(net, &net);
   EXPECT_EQ(ret, SUCCESS);
 
-  ret = weightParser.ConvertBlobShapeProto(&net, &net);
+  ret = weightParser.ConvertBlobShapeProto(net, &net);
   EXPECT_EQ(ret, SUCCESS);
 
-  ret = weightParser.ConvertConvParamProto(&net, &net);
+  ret = weightParser.ConvertConvParamProto(net, &net);
   EXPECT_EQ(ret, SUCCESS);
 
-  ret = weightParser.ConvertInnerProdcutProto(&net, &net);
+  ret = weightParser.ConvertInnerProdcutProto(net, &net);
   EXPECT_EQ(ret, SUCCESS);
 }
 
@@ -1133,7 +1136,7 @@ TEST_F(UtestCaffeParser, CaffeWeightsParser_ParseLayerParameter_test)
   const google::protobuf::Message *proto = factory.GetPrototype(descriptor);
   const google::protobuf::Message *message = proto->New();
 
-  Status ret = weightParser.ParseLayerParameter(descriptor, message, compute_graph);
+  Status ret = weightParser.ParseLayerParameter(*descriptor, *message, compute_graph);
   delete message;
   EXPECT_EQ(ret, SUCCESS);
 }
@@ -1163,7 +1166,7 @@ TEST_F(UtestCaffeParser, CaffeModelParser_ParseLayerParameter_test)
   google::protobuf::DynamicMessageFactory factory;
   const google::protobuf::Message *proto = factory.GetPrototype(descriptor);
   google::protobuf::Message *message = proto->New();
-  Status ret = modelParser.ParseLayerParameter(descriptor, message, operators);
+  Status ret = modelParser.ParseLayerParameter(*descriptor, *message, operators);
   EXPECT_EQ(ret, SUCCESS);
 
   const domi::FrameworkType fmk_type = domi::TENSORFLOW;

tests/ut/parser/testcase/graph_optimizer_testcase/graph_optimizer_unittest.cc

@@ -7,7 +7,7 @@
 #include "tensorflow/iterator_fusion_pass.h"
 #include "parser/common/acl_graph_parser_util.h"
 #define private public
-#include "tensorflow/graph_optimizer.h"
+#include "tensorflow/parser_graph_optimizer.h"
 #undef private
 namespace ge {
   class UtestGraphOptimizer : public testing::Test {

tests/ut/parser/testcase/onnx_parser_testcase/onnx_parser_unittest.cc

@@ -381,7 +381,7 @@ TEST_F(UtestOnnxParser, FileConstantGetTensorProto)
   OnnxFileConstantParser parser;
   ge::onnx::NodeProto input_node;
   ge::onnx::TensorProto tensor_proto;
-  Status ret = parser.GetTensorProto(&input_node, tensor_proto);
+  Status ret = parser.GetTensorProto(input_node, tensor_proto);
   EXPECT_EQ(ret, FAILED);
 
   ge::onnx::AttributeProto *attribute = input_node.add_attribute();
@@ -391,7 +391,7 @@ TEST_F(UtestOnnxParser, FileConstantGetTensorProto)
 
   ge::onnx::TensorProto *attribute_tensor = attribute->mutable_t();
   *attribute_tensor = tensor_proto;
-  ret = parser.GetTensorProto(&input_node, tensor_proto);
+  ret = parser.GetTensorProto(input_node, tensor_proto);
   EXPECT_EQ(ret, SUCCESS);
 }
 

tests/ut/parser/testcase/tensorflow_parser_testcase/tensorflow_parser_unittest.cc

@@ -38,17 +38,17 @@
 #include "tests/depends/ops_stub/ops_stub.h"
 #include "parser/tensorflow/tensorflow_constant_parser.h"
 #include "common/types.h"
-#include "parser/common/op_def/variable_op.h"
+#include "parser/common/op_def/variable_operator.h"
 #include "parser/tensorflow/tensorflow_ref_switch_parser.h"
 #include "parser/tensorflow/tensorflow_fusion_op_parser.h"
 #include "parser/tensorflow/tensorflow_auto_mapping_parser_adapter.h"
-#include "parser/common/op_def/arg_op.h"
+#include "parser/common/op_def/arg_op_operator.h"
 #include "parser/tensorflow/tensorflow_fusion_custom_parser_adapter.h"
 #include "parser/tensorflow/tensorflow_reshape_parser.h"
 #include "parser/tensorflow/tensorflow_custom_parser_adapter.h"
 #include "parser/tensorflow/tensorflow_squeeze_parser.h"
-#include "parser/tensorflow/graph_functiondef.h"
-#include "parser/tensorflow/graph_optimizer.h"
+#include "parser/tensorflow/graph_to_function_def.h"
+#include "parser/tensorflow/parser_graph_optimizer.h"
 #include "cce/dnn_base_def.hpp"
 #include "parser/tensorflow/scope/scope_pass_manager.h"
 #include "parser/tensorflow/tensorflow_util.h"
@@ -56,10 +56,10 @@
 #include "parser/tensorflow/tensorflow_enter_parser.h"
 #include "parser/common/op_def/ir_pb_converter.h"
 #include "parser/common/tuple.h"
-#include "common/op_def/frameworkop_op.h"
-#include "common/op_def/shape_n_op.h"
-#include "common/op_def/var_is_initialized_op_op.h"
-#include "common/op_def/fill_op.h"
+#include "common/op_def/framework_op_operator.h"
+#include "common/op_def/shape_n_operator.h"
+#include "common/op_def/var_is_initialized_op_operator.h"
+#include "common/op_def/fill_operator.h"
 #include "common/convert/pb2json.h"
 #include "common/convert/message2operator.h"
 #include "parser/common/proto_file_parser.h"
@@ -73,7 +73,7 @@
 #include "parser/common/prototype_pass_manager.h"
 #include "parser/common/register_tbe.h"
 #include "parser/common/pass_manager.h"
-#include "parser/tensorflow/graph_optimizer.h"
+#include "parser/tensorflow/parser_graph_optimizer.h"
 #include "metadef/inc/register/scope/scope_pass_registry_impl.h"
 #include "register/scope/scope_fusion_pass_register.h"
 #include "common/op_map.h"
@@ -1032,7 +1032,9 @@ TEST_F(UtestTensorflowParser, tensorflow_parser_success) {
   ParserOperator unused("Add");
   case_dir = case_dir.substr(0, case_dir.find_last_of("/"));
   std::string model_file = case_dir + "/tensorflow_model/tf_add.pb";
-  std::map<ge::AscendString, ge::AscendString> parser_params;
+  std::map<ge::AscendString, ge::AscendString> parser_params = {
+      {ge::AscendString(ge::ir_option::INPUT_DATA_NAMES), ge::AscendString("Placeholder,Placeholder_1")},
+  };
   ge::Graph graph;
   auto ret = ge::aclgrphParseTensorFlow(model_file.c_str(), parser_params, graph);
   ASSERT_EQ(ret, SUCCESS);
@@ -1046,6 +1048,21 @@ TEST_F(UtestTensorflowParser, tensorflow_parser_success) {
   EXPECT_EQ(net_out_name.at(0), "add_test_1:0");
 }
 
+TEST_F(UtestTensorflowParser, tensorflow_parser_input_data_names_failed) {
+  RegisterCustomOp();
+
+  std::string case_dir = __FILE__;
+  ParserOperator unused("Add");
+  case_dir = case_dir.substr(0, case_dir.find_last_of("/"));
+  std::string model_file = case_dir + "/tensorflow_model/tf_add.pb";
+  std::map<ge::AscendString, ge::AscendString> parser_params = {
+    {ge::AscendString(ge::ir_option::INPUT_DATA_NAMES), ge::AscendString("Placeholder_1,Placeholder_2")},
+  };
+  ge::Graph graph;
+  auto ret = ge::aclgrphParseTensorFlow(model_file.c_str(), parser_params, graph);
+  ASSERT_EQ(ret, ge::GRAPH_FAILED);
+}
+
 TEST_F(UtestTensorflowParser, tensorflow_model_Failed) {
   ge::Graph graph;
   std::string caseDir = __FILE__;