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120 lines
3.8 KiB
120 lines
3.8 KiB
/* Copyright (c) 2017 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 "ActivationFunction.h"
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#include "mkldnn.hpp"
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#include "paddle/gserver/layers/MKLDNNBase.h"
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#include "paddle/math/MKLDNNMatrix.h"
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#include "paddle/parameter/Argument.h"
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namespace paddle {
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/**
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* @brief Base class of MKLDNN Activation.
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* Common activation function are provieded,
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* including mkldnn_relu, mkldnn_elu, mkldnn_tanh, mkldnn_softmax
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*/
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class MKLDNNActivation : public ActivationFunction {
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protected:
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// input value element count
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size_t cnt_;
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// should not merge the resetBwd into resetFwd,
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// because the grad data would be changing before backward.
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bool needResetBwd_;
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// mkldnn matrix, primitive, stream and pipeline
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MKLDNNMatrixPtr val_;
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MKLDNNMatrixPtr grad_;
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std::shared_ptr<mkldnn::engine> engine_;
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std::shared_ptr<MKLDNNStream> stream_;
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std::shared_ptr<mkldnn::primitive> fwd_;
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std::shared_ptr<mkldnn::primitive> bwd_;
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std::vector<mkldnn::primitive> pipelineFwd_;
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std::vector<mkldnn::primitive> pipelineBwd_;
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public:
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MKLDNNActivation() : cnt_(0), needResetBwd_(true) {}
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~MKLDNNActivation() {}
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static ActivationFunction* create(const std::string& type);
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static std::vector<std::string> getAllRegisteredTypes();
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virtual const std::string& getName() const = 0;
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/**
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* reset the forward primitives
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*/
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virtual void resetFwd(Argument& act);
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/**
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* reset the backward primitives,
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* can not merge this functions into resetFwd as the grad data
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* would be changing before backward.
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*/
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virtual void resetBwd(Argument& act) {}
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virtual Error __must_check forward(Argument& act);
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virtual Error __must_check backward(Argument& act);
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};
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/**
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* @brief Base class of MKLDNN Eltwise Activation,
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* includes mkldnn_relu, mkldnn_elu and mkldnn_tanh.
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*/
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class MKLDNNEltwiseActivation : public MKLDNNActivation {
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typedef mkldnn::eltwise_forward eltwise_fwd;
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typedef mkldnn::eltwise_backward eltwise_bwd;
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typedef mkldnn::algorithm algorithm;
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protected:
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// save the forward primitive desc, which can be used backward
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std::shared_ptr<eltwise_fwd::primitive_desc> fwdPD_;
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// eltwise_bwd need src input value
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MKLDNNMatrixPtr inVal_;
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// use for copy data
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std::shared_ptr<mkldnn::reorder> copyInVal_;
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public:
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MKLDNNEltwiseActivation() {}
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~MKLDNNEltwiseActivation() {}
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virtual const std::string& getName() const = 0;
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// in common, the alpha of forward and backward should be equal.
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// but for relu, to avoid negative value, they should be opposite
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virtual float getAlpha() const = 0;
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virtual float getBwdAlpha() const = 0;
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virtual float getBeta() const { return 0.f; }
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virtual algorithm getAlgo(std::string type) const;
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void resetFwd(Argument& act) override;
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void resetBwd(Argument& act) override;
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};
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/**
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* @brief Base class of MKLDNN softmax Activation,
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* only have mkldnn forward, use cpu implement for backward.
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*/
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class MKLDNNSoftmaxActivation : public MKLDNNActivation {
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typedef mkldnn::softmax_forward softmax_fwd;
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private:
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// for backward
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MatrixPtr sftMaxSum_;
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MatrixPtr sftMaxDot_;
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public:
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MKLDNNSoftmaxActivation() {}
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~MKLDNNSoftmaxActivation() {}
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virtual const std::string& getName() const = 0;
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void resetFwd(Argument& act) override;
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Error __must_check forward(Argument& act) override;
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Error __must_check backward(Argument& act) override;
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};
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} // namespace paddle
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