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123 lines
4.1 KiB
123 lines
4.1 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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 "BaseMatrix.h"
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#include "paddle/utils/Logging.h"
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namespace paddle {
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/**
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* \brief Sparse Momentum optimizer.
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*/
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extern void sparseMomentumApply(BaseMatrix& value,
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BaseMatrix& grad,
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BaseMatrix& momU,
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BaseMatrix& momV,
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real alpha,
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real beta,
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real gamma,
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real tau,
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real learningRate);
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/**
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* \brief AdaDelta optimizer.
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*/
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extern void adadeltaApply(BaseMatrix& value,
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BaseMatrix& grad,
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BaseMatrix& sum,
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BaseMatrix& sum1,
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BaseMatrix& mom,
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BaseMatrix& lr,
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real rou,
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real epsilon,
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real learningRate,
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real momentum,
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real decayRate);
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/**
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* \brief AdaGrad optimizer.
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*/
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extern void adagradApply(BaseMatrix& value,
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BaseMatrix& grad,
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BaseMatrix& sum,
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BaseMatrix& sum1,
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BaseMatrix& mom,
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BaseMatrix& lr,
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real epsilon,
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real learningRate,
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real momentum,
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real decayRate);
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/**
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* \brief RMSProp optimizer.
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*/
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extern void rmspropApply(BaseMatrix& value,
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BaseMatrix& grad,
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BaseMatrix& g,
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BaseMatrix& f,
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BaseMatrix& mom,
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BaseMatrix& lr,
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real accumulatedRou,
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real rou,
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real epsilon,
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real learningRate,
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real momentum,
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real decayRate,
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bool firstTime);
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/**
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* \brief Decayed AdaGrad optimizer.
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*/
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extern void decayedAdagradApply(BaseMatrix& value,
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BaseMatrix& grad,
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BaseMatrix& mom,
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BaseMatrix& accum,
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BaseMatrix& lr,
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real accumulatedRou,
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real rou,
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real epsilon,
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real learningRate,
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real momentum,
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real decayRate,
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bool firstTime);
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/**
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* \brief Adam optimizer.
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*/
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extern void adamApply(BaseMatrix& value,
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BaseMatrix& grad,
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BaseMatrix& mom,
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BaseMatrix& v,
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real beta1,
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real beta2,
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real beta1_power,
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real beta2_power,
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real epsilon,
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real learningRate);
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/**
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* \brief AdaMax optimizer.
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*/
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extern void adamaxApply(BaseMatrix& value,
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BaseMatrix& grad,
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BaseMatrix& mom, // firse moment
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BaseMatrix& u, // weighted infinity norm
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real beta1,
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real beta2,
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int64_t step,
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real alpha);
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} // namespace paddle
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