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1 : /* +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 : Copyright (c) 2016-2021 The VES code team 3 : (see the PEOPLE-VES file at the root of this folder for a list of names) 4 : 5 : See http://www.ves-code.org for more information. 6 : 7 : This file is part of VES code module. 8 : 9 : The VES code module is free software: you can redistribute it and/or modify 10 : it under the terms of the GNU Lesser General Public License as published by 11 : the Free Software Foundation, either version 3 of the License, or 12 : (at your option) any later version. 13 : 14 : The VES code module is distributed in the hope that it will be useful, 15 : but WITHOUT ANY WARRANTY; without even the implied warranty of 16 : MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 17 : GNU Lesser General Public License for more details. 18 : 19 : You should have received a copy of the GNU Lesser General Public License 20 : along with the VES code module. If not, see <http://www.gnu.org/licenses/>. 21 : +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ */ 22 : 23 : #include "Optimizer.h" 24 : #include "CoeffsVector.h" 25 : 26 : #include "core/ActionRegister.h" 27 : 28 : 29 : namespace PLMD { 30 : namespace ves { 31 : 32 : //+PLUMEDOC VES_OPTIMIZER OPT_ROBBINS_MONRO_SGD 33 : /* 34 : Robbins-Monro stochastic gradient decent. 35 : 36 : !!! attention "" 37 : 38 : __This optimizer is only included for reference. We recommend to use the averaged stochastic gradient decent optimizer ([OPT_AVERAGED_SGD](OPT_AVERAGED_SGD.md))__. 39 : 40 : 41 : */ 42 : //+ENDPLUMEDOC 43 : 44 : class Opt_RobbinsMonroSGD : public Optimizer { 45 : private: 46 : double decay_constant_; 47 : public: 48 : static void registerKeywords(Keywords&); 49 : explicit Opt_RobbinsMonroSGD(const ActionOptions&); 50 : void coeffsUpdate(const unsigned int c_id = 0); 51 : }; 52 : 53 : 54 : PLUMED_REGISTER_ACTION(Opt_RobbinsMonroSGD,"OPT_ROBBINS_MONRO_SGD") 55 : 56 : 57 5 : void Opt_RobbinsMonroSGD::registerKeywords(Keywords& keys) { 58 5 : Optimizer::registerKeywords(keys); 59 5 : Optimizer::useDynamicStepSizeKeywords(keys); 60 5 : Optimizer::useMultipleWalkersKeywords(keys); 61 5 : Optimizer::useMaskKeywords(keys); 62 5 : Optimizer::useRestartKeywords(keys); 63 5 : Optimizer::useDynamicTargetDistributionKeywords(keys); 64 5 : keys.add("optional","DECAY_CONSTANT","the decay constant used for the step size."); 65 5 : } 66 : 67 : 68 1 : Opt_RobbinsMonroSGD::Opt_RobbinsMonroSGD(const ActionOptions&ao): 69 : PLUMED_VES_OPTIMIZER_INIT(ao), 70 1 : decay_constant_(1.0) { 71 1 : parse("DECAY_CONSTANT",decay_constant_); 72 1 : if(decay_constant_<1.0) { 73 0 : plumed_merror("the value given in DECAY_CONSTANT doesn't make sense, it should be larger than 1.0"); 74 : } 75 1 : if(decay_constant_>1.0) { 76 1 : log.printf(" using a decay constant of %f\n",decay_constant_); 77 : } 78 1 : checkRead(); 79 1 : } 80 : 81 : 82 10 : void Opt_RobbinsMonroSGD::coeffsUpdate(const unsigned int c_id) { 83 : // getIterationCounterDbl() gives n-1 as it is updated afterwards. 84 10 : double current_stepsize = StepSize(c_id) /(1.0 + getIterationCounterDbl()/decay_constant_); 85 : setCurrentStepSize(current_stepsize,c_id); 86 10 : Coeffs(c_id) += - current_stepsize * CoeffsMask(c_id) * Gradient(c_id); 87 : // 88 10 : double aver_decay = 1.0 / ( getIterationCounterDbl() + 1.0 ); 89 10 : AuxCoeffs(c_id) += aver_decay * ( Coeffs(c_id)-AuxCoeffs(c_id) ); 90 10 : } 91 : 92 : 93 : } 94 : }