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88 lines
3.6 KiB
88 lines
3.6 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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#include "MKLDNNActivation.h"
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#include "mkldnn.hpp"
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#include "paddle/utils/ClassRegistrar.h"
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namespace paddle {
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static ClassRegistrar<ActivationFunction> gMKLDNNActivationRegistrar;
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/**
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* @def MKLDNN_ACTIVATION_CLASS_NAME
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* @note MKLDNN_ACTIVATION_CLASS_NAME(relu) relu_;
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* means mkldnn_reluActivation relu_;
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*/
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#define MKLDNN_ACTIVATION_CLASS_NAME(ACT_TYPE) mkldnn_##ACT_TYPE##Activation
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/**
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* @def DEFINE_MKLDNN_ELTWISE_ACTIVATION
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*/
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#define DEFINE_MKLDNN_ELTWISE_ACTIVATION(ACT_TYPE, ALPHA, BWD_ALPHA) \
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class MKLDNN_ACTIVATION_CLASS_NAME(ACT_TYPE) \
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: public MKLDNNEltwiseActivation { \
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private: \
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static const std::string name; \
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static const float alpha; \
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static const float bwdAlpha; \
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\
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public: \
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const std::string& getName() const { return name; } \
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float getAlpha() const { return alpha; } \
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float getBwdAlpha() const { return bwdAlpha; } \
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}; \
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const std::string MKLDNN_ACTIVATION_CLASS_NAME(ACT_TYPE)::name = \
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"mkldnn_" #ACT_TYPE; \
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const float MKLDNN_ACTIVATION_CLASS_NAME(ACT_TYPE)::alpha = ALPHA; \
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const float MKLDNN_ACTIVATION_CLASS_NAME(ACT_TYPE)::bwdAlpha = BWD_ALPHA; \
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static InitFunction __reg_activation__mkldnn_##ACT_TYPE([] { \
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gMKLDNNActivationRegistrar \
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.registerClass<MKLDNN_ACTIVATION_CLASS_NAME(ACT_TYPE)>( \
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"mkldnn_" #ACT_TYPE); \
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});
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/**
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* @brief MKLDNN Relu Activation.
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* Actually mkldnn_relu is Leaky Relu.
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* f(x) = x (x >= 0)
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* f(x) = negative_slope * x (x < 0)
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* @note the negative_slope should be -0.f in forward
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*/
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DEFINE_MKLDNN_ELTWISE_ACTIVATION(relu, -0.f, 0.f)
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/**
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* @brief MKLDNN Tanh Activation.
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*/
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DEFINE_MKLDNN_ELTWISE_ACTIVATION(tanh, 0.f, 0.f)
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/**
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* @brief MKLDNN ELU(Exponential Linear Unit) Activation.
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* f(x) = x (x >= 0)
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* f(x) = negative_slope * (exp(x) - 1) (x < 0)
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*/
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DEFINE_MKLDNN_ELTWISE_ACTIVATION(elu, 0.f, 0.f)
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ActivationFunction* MKLDNNActivation::create(const std::string& type) {
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return gMKLDNNActivationRegistrar.createByType(type);
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}
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std::vector<std::string> MKLDNNActivation::getAllRegisteredTypes() {
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std::vector<std::string> types;
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gMKLDNNActivationRegistrar.forEachType(
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[&](const std::string& type) { types.push_back(type); });
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return types;
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}
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} // namespace paddle
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