1 /** 2 * Copyright 2019-2021 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_CCSRC_BACKEND_KERNEL_COMPILER_GPU_KERNEL_CONSTANTS_H_ 18 #define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_KERNEL_CONSTANTS_H_ 19 #include <map> 20 #include <string> 21 22 namespace mindspore { 23 namespace kernel { 24 // Used by Pooling and Conv2d 25 static constexpr char kSamePadModeUpperCase[] = "SAME"; 26 27 // Used by Pooling and Conv2d 28 static constexpr char kSamePadModeLowerCase[] = "same"; 29 30 // Used by Pooling and Conv2d 31 static constexpr char kValidPadModeUpperCase[] = "VALID"; 32 33 // Used by Pooling and Conv2d 34 static constexpr char kValidPadModeLowerCase[] = "valid"; 35 36 // Used by Pooling 37 static constexpr char kAvgPoolingModeUpperCase[] = "AVG"; 38 39 // Used by Pooling 40 static constexpr char kAvgPoolingModeLowerCase[] = "avg"; 41 42 // Used by MaxPool pad: The minimum value of float32 43 static constexpr float kSignedMinFloat = -3.402823466e+38F; 44 45 // Used by mixprecision, cudnn dtype select 46 static std::map<std::string, cudnnDataType_t> kCudnnDtypeMap = { 47 {"kNumberTypeFloat32", CUDNN_DATA_FLOAT}, {"kNumberTypeFloat16", CUDNN_DATA_HALF}, 48 {"kNumberTypeFloat64", CUDNN_DATA_DOUBLE}, {"kNumberTypeInt32", CUDNN_DATA_INT32}, 49 {"kNumberTypeBool", CUDNN_DATA_INT8}, {"kNumberTypeInt8", CUDNN_DATA_INT8}, 50 {"kNumberTypeUInt8", CUDNN_DATA_UINT8}}; 51 // Used by mixprecision, cuda dtype select 52 static std::map<std::string, cudaDataType_t> kCudaDtypeMap = { 53 {"kNumberTypeFloat64", CUDA_R_64F}, {"kNumberTypeFloat32", CUDA_R_32F}, {"kNumberTypeFloat16", CUDA_R_16F}}; 54 } // namespace kernel 55 } // namespace mindspore 56 57 #endif // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_KERNEL_CONSTANTS_H_ 58