/** * Copyright 2019 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. */ #ifndef MINDSPORE_CCSRC_KERNEL_GPU_KERNEL_CONSTANTS_H_ #define MINDSPORE_CCSRC_KERNEL_GPU_KERNEL_CONSTANTS_H_ #include #include namespace mindspore { namespace kernel { // Used by Pooling and Conv2d static constexpr char kSamePadModeUpperCase[] = "SAME"; // Used by Pooling and Conv2d static constexpr char kSamePadModeLowerCase[] = "same"; // Used by Pooling and Conv2d static constexpr char kValidPadModeUpperCase[] = "VALID"; // Used by Pooling and Conv2d static constexpr char kValidPadModeLowerCase[] = "valid"; // Used by Pooling static constexpr char kAvgPoolingModeUpperCase[] = "AVG"; // Used by Pooling static constexpr char kAvgPoolingModeLowerCase[] = "avg"; // Used by MaxPool pad: The minimum value of float32 static constexpr float kSignedMinFloat = -3.402823466e+38F; // Used by mixprecision, cudnn dtype select static std::map kCudnnDtypeMap = {{"kNumberTypeFloat32", CUDNN_DATA_FLOAT}, {"kNumberTypeFloat16", CUDNN_DATA_HALF}, {"kNumberTypeInt32", CUDNN_DATA_INT32}}; // Used by mixprecision, cuda dtype select static std::map kCudaDtypeMap = {{"kNumberTypeFloat32", CUDA_R_32F}, {"kNumberTypeFloat16", CUDA_R_16F}}; } // namespace kernel } // namespace mindspore #endif // MINDSPORE_CCSRC_KERNEL_GPU_KERNEL_CONSTANTS_H_