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49 lines
2.1 KiB
49 lines
2.1 KiB
7 years ago
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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8 years ago
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#ifndef HL_BATCH_NORM_H_
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#define HL_BATCH_NORM_H_
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#include "hl_base.h"
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/**
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* @brief batch norm inferece.
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*
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* @param[in] input input data.
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* @param[out] output output data.
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* @param[in] scale batch normalization scale parameter (in original
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* paper scale is referred to as gamma).
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* @param[in] bias batch normalization bias parameter (in original
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* paper scale is referred to as beta).
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* @param[in] estimatedMean
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* @param[in] estimatedVar The moving mean and variance
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* accumulated during the training phase are passed
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* as inputs here.
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* @param[in] epsilon Epsilon value used in the batch
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* normalization formula.
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*/
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extern void hl_batch_norm_cuda_inference(const real* input,
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real* output,
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const real* scale,
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const real* bias,
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const real* estimatedMean,
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const real* estimatedVar,
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const double epsilon,
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size_t batchSize,
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size_t channel,
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size_t height,
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size_t width);
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#endif // HL_BATCH_NORM_H_
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