forked from huawei/mindspore2022
56 lines
2.1 KiB
C++
56 lines
2.1 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef MINDSPORE_CCSRC_KERNEL_GPU_KERNEL_CONSTANTS_H_
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#define MINDSPORE_CCSRC_KERNEL_GPU_KERNEL_CONSTANTS_H_
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#include <map>
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#include <string>
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namespace mindspore {
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namespace kernel {
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// Used by Pooling and Conv2d
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static constexpr char kSamePadModeUpperCase[] = "SAME";
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// Used by Pooling and Conv2d
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static constexpr char kSamePadModeLowerCase[] = "same";
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// Used by Pooling and Conv2d
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static constexpr char kValidPadModeUpperCase[] = "VALID";
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// Used by Pooling and Conv2d
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static constexpr char kValidPadModeLowerCase[] = "valid";
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// Used by Pooling
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static constexpr char kAvgPoolingModeUpperCase[] = "AVG";
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// Used by Pooling
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static constexpr char kAvgPoolingModeLowerCase[] = "avg";
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// Used by MaxPool pad: The minimum value of float32
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static constexpr float kSignedMinFloat = -3.402823466e+38F;
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// Used by mixprecision, cudnn dtype select
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static std::map<std::string, cudnnDataType_t> kCudnnDtypeMap = {{"kNumberTypeFloat32", CUDNN_DATA_FLOAT},
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{"kNumberTypeFloat16", CUDNN_DATA_HALF},
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{"kNumberTypeInt32", CUDNN_DATA_INT32}};
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// Used by mixprecision, cuda dtype select
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static std::map<std::string, cudaDataType_t> kCudaDtypeMap = {{"kNumberTypeFloat32", CUDA_R_32F},
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{"kNumberTypeFloat16", CUDA_R_16F}};
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} // namespace kernel
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_KERNEL_GPU_KERNEL_CONSTANTS_H_
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