/** * Copyright 2022 Huawei Technologies Co., Ltd * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include "include/transform/graph_ir/util.h" #include #include #include "securec/include/securec.h" #include "include/common/utils/convert_utils.h" #include "include/common/utils/utils.h" namespace mindspore { namespace transform { const size_t kErrorSize = 0; static std::map datatype_size_map = { {MeDataType::kNumberTypeFloat16, sizeof(float) / 2}, {MeDataType::kNumberTypeFloat32, sizeof(float)}, // 1/2 of float {MeDataType::kNumberTypeFloat64, sizeof(double)}, {MeDataType::kNumberTypeInt8, sizeof(int8_t)}, {MeDataType::kNumberTypeInt16, sizeof(int16_t)}, {MeDataType::kNumberTypeInt32, sizeof(int32_t)}, {MeDataType::kNumberTypeInt64, sizeof(int64_t)}, {MeDataType::kNumberTypeUInt8, sizeof(uint8_t)}, {MeDataType::kNumberTypeUInt16, sizeof(uint16_t)}, {MeDataType::kNumberTypeUInt32, sizeof(uint32_t)}, {MeDataType::kNumberTypeUInt64, sizeof(uint64_t)}, {MeDataType::kNumberTypeBool, sizeof(bool)}}; size_t TransformUtil::GetDataTypeSize(const MeDataType &type) { if (datatype_size_map.find(type) != datatype_size_map.end()) { return datatype_size_map[type]; } else { MS_LOG(ERROR) << "Illegal tensor data type!"; return kErrorSize; } } } // namespace transform } // namespace mindspore