/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #include "PaddleAPI.h" #include "PaddleAPIPrivate.h" #include "paddle/trainer/RemoteParameterUpdater.h" #include "paddle/trainer/ThreadParameterUpdater.h" ParameterUpdater::ParameterUpdater() : m(new ParameterUpdaterPrivate()) {} ParameterUpdater *ParameterUpdater::createLocalUpdater( OptimizationConfig *config) { auto updater = new ParameterUpdater(); updater->m->updater.reset( new paddle::SgdThreadUpdater(config->m->getConfig())); return updater; } ParameterUpdater *ParameterUpdater::createRemoteUpdater( OptimizationConfig *config, int passCount, bool userSparseUpdater) { auto updater = new ParameterUpdater(); auto remoteUpdater = new paddle::RemoteParameterUpdater( config->m->getConfig(), passCount, nullptr); if (userSparseUpdater) { std::unique_ptr remoteUpdaterPtr; remoteUpdaterPtr.reset(remoteUpdater); auto sparseRemoteUpdater = new paddle::SparseRemoteParameterUpdaterComposite( config->m->getConfig(), passCount, false, std::move(remoteUpdaterPtr)); updater->m->updater.reset(sparseRemoteUpdater); } else { updater->m->updater.reset(remoteUpdater); } return updater; } ParameterUpdater::~ParameterUpdater() { delete m; } void ParameterUpdater::init(const GradientMachine &gm) { m->updater->init(gm.m->machine->getNonStaticParameters()); } void ParameterUpdater::startPass() { m->updater->startPass(); } void ParameterUpdater::finishPass() { m->updater->finishPass(); } PassType ParameterUpdater::startBatch(size_t batchSize) { return m->updater->startBatch((int64_t)batchSize); } void ParameterUpdater::finishBatch(float cost) { m->updater->finishBatch(cost); } void ParameterUpdater::update(Parameter *param) { auto paddleParam = param->m->getPtr(); m->updater->update(paddleParam); } void ParameterUpdater::restore() { m->updater->restore(); } void ParameterUpdater::apply() { m->updater->apply(); } void ParameterUpdater::catchUpWith() { m->updater->catchUpWith(); }