1 /** 2 * Copyright 2020 Huawei Technologies Co., Ltd 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17 #ifndef MINDSPORE_LITE_TOOLS_CONVERTER_RETURN_CODE_H 18 #define MINDSPORE_LITE_TOOLS_CONVERTER_RETURN_CODE_H 19 20 #include <string> 21 #include <set> 22 #include <map> 23 #include <vector> 24 #include "include/errorcode.h" 25 #include "src/common/log_adapter.h" 26 #include "ir/dtype/type_id.h" 27 28 namespace mindspore { 29 namespace lite { 30 class ReturnCode { 31 public: GetSingleReturnCode()32 static ReturnCode *GetSingleReturnCode() { 33 static ReturnCode return_code; 34 return &return_code; 35 } UpdateReturnCode(STATUS status)36 void UpdateReturnCode(STATUS status) { 37 if (status_code_ == RET_OK) { 38 status_code_ = status; 39 } 40 } status_code()41 STATUS status_code() const { return status_code_; } 42 43 private: 44 ReturnCode() = default; 45 virtual ~ReturnCode() = default; 46 int status_code_ = RET_OK; 47 }; 48 49 class NotSupportOp { 50 public: GetInstance()51 static NotSupportOp *GetInstance() { 52 static NotSupportOp not_support_op; 53 return ¬_support_op; 54 } set_fmk_type(const std::string & fmk_type)55 void set_fmk_type(const std::string &fmk_type) { fmk_type_ = fmk_type; } InsertOp(const std::string & op_name)56 void InsertOp(const std::string &op_name) { not_support_ops_.insert(op_name); } PrintOps()57 void PrintOps() const { 58 if (!not_support_ops_.empty()) { 59 MS_LOG(ERROR) << "==========================================="; 60 MS_LOG(ERROR) << "UNSUPPORTED OP LIST:"; 61 for (auto &op_name : not_support_ops_) { 62 MS_LOG(ERROR) << "FMKTYPE: " << fmk_type_ << ", OP TYPE: " << op_name; 63 } 64 MS_LOG(ERROR) << "==========================================="; 65 } 66 } 67 68 private: 69 NotSupportOp() = default; 70 virtual ~NotSupportOp() = default; 71 std::set<std::string> not_support_ops_; 72 std::string fmk_type_; 73 }; 74 75 class ConverterContext { 76 public: GetInstance()77 static ConverterContext *GetInstance() { 78 static ConverterContext converter_context; 79 return &converter_context; 80 } 81 UpdateGraphInputDType(int32_t index,int32_t dtype)82 void UpdateGraphInputDType(int32_t index, int32_t dtype) { graph_input_data_type_map_[index] = dtype; } GetGraphInputDType(int32_t index)83 int32_t GetGraphInputDType(int32_t index) const { 84 if (graph_input_data_type_map_.find(index) == graph_input_data_type_map_.end()) { 85 return TypeId::kTypeUnknown; 86 } 87 return graph_input_data_type_map_.at(index); 88 } 89 UpdateGraphOutputDType(int32_t index,int32_t dtype)90 void UpdateGraphOutputDType(int32_t index, int32_t dtype) { graph_output_data_type_map_[index] = dtype; } GetGraphOutputDType(int32_t index)91 int32_t GetGraphOutputDType(int32_t index) const { 92 if (graph_output_data_type_map_.find(index) == graph_output_data_type_map_.end()) { 93 return TypeId::kTypeUnknown; 94 } 95 return graph_output_data_type_map_.at(index); 96 } 97 UpdateGraphInputTensorShape(const std::string & tensor_name,const std::vector<int64_t> & shape)98 void UpdateGraphInputTensorShape(const std::string &tensor_name, const std::vector<int64_t> &shape) { 99 graph_input_tensor_shape_map_[tensor_name] = shape; 100 } GetGraphInputTensorShape(const std::string & tensor_name)101 std::vector<int64_t> GetGraphInputTensorShape(const std::string &tensor_name) const { 102 if (graph_input_tensor_shape_map_.find(tensor_name) == graph_input_tensor_shape_map_.end()) { 103 return {}; 104 } 105 return graph_input_tensor_shape_map_.at(tensor_name); 106 } GetGraphInputTensorShapeMapSize()107 size_t GetGraphInputTensorShapeMapSize() { return graph_input_tensor_shape_map_.size(); } 108 SetGraphOutputTensorNames(const std::vector<std::string> & output_names)109 void SetGraphOutputTensorNames(const std::vector<std::string> &output_names) { 110 graph_output_tensor_names_ = output_names; 111 } 112 GetGraphOutputTensorNames()113 const std::vector<std::string> GetGraphOutputTensorNames() const { return graph_output_tensor_names_; } 114 115 private: ConverterContext()116 ConverterContext() {} 117 virtual ~ConverterContext() = default; 118 std::map<int32_t, int32_t> graph_input_data_type_map_; 119 std::map<int32_t, int32_t> graph_output_data_type_map_; 120 std::map<std::string, std::vector<int64_t>> graph_input_tensor_shape_map_; 121 std::vector<std::string> graph_output_tensor_names_; 122 }; 123 } // namespace lite 124 } // namespace mindspore 125 #endif // MINDSPORE_LITE_TOOLS_CONVERTER_RETURN_CODE_H 126