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71 lines
2.1 KiB
71 lines
2.1 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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#pragma once
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#include "BatchNormBaseLayer.h"
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#include "Layer.h"
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#include "paddle/utils/Stat.h"
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namespace paddle {
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/**
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* @brief Cudnn Batch normalization layer use to cuDNN lib to implentment.
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* @note Cudnn version must >= v4.0, and better to use the latest version
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* (v5.1).
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*
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* The config file api is batch_norm_layer.
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*/
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class CudnnBatchNormLayer : public BatchNormBaseLayer {
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public:
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explicit CudnnBatchNormLayer(const LayerConfig& config)
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: BatchNormBaseLayer(config) {}
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~CudnnBatchNormLayer();
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bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) override;
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/**
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* reshape tensor of ioDesc_.
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*/
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void reshape(int batchSize);
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void forward(PassType passType) override;
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void backward(const UpdateCallback& callback = nullptr) override;
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protected:
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/**
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* Epsilon value used in the batch normalization formula.
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* Minimum allowed value is CUDNN_BN_MIN_EPSILON defined in cudnn.h.
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* Same epsilon value should be used in forward and backward functions.
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*/
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static const double EPS;
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/// Input/output tensor descriptor desc
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hl_tensor_descriptor ioDesc_;
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/// Shared tensor descriptor desc for the 6 tenros:
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/// bnScale, bnBias, running mean/var, save_mean/var
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hl_tensor_descriptor bnParamDesc_;
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/**
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* @brief The gradient of weight and bias in cudnn api can not be empty.
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* If set is_static for weight or bias, it will not allocate memory for them,
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* and the gradient is NULL. In this case, will use two matrix.
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*/
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MatrixPtr tmpWGrad_, tmpBiasGrad_;
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};
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} // namespace paddle
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