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100 lines
3.2 KiB
100 lines
3.2 KiB
/* Copyright (c) 2016 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 "PaddleAPI.h"
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#include "PaddleAPIPrivate.h"
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#ifndef PADDLE_WITHOUT_GOLANG
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#include "paddle/trainer/NewRemoteParameterUpdater.h"
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#endif
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#include "paddle/trainer/RemoteParameterUpdater.h"
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#include "paddle/trainer/ThreadParameterUpdater.h"
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ParameterUpdater::ParameterUpdater() : m(new ParameterUpdaterPrivate()) {}
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ParameterUpdater *ParameterUpdater::createLocalUpdater(
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OptimizationConfig *config) {
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auto updater = new ParameterUpdater();
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updater->m->updater.reset(
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new paddle::SgdThreadUpdater(config->m->getConfig()));
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return updater;
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}
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ParameterUpdater *ParameterUpdater::createNewRemoteUpdater(
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OptimizationConfig *config,
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const std::string pserverSpec,
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const bool useEtcd) throw(UnsupportError) {
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#ifndef PADDLE_WITHOUT_GOLANG
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auto updater = new ParameterUpdater();
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updater->m->updater.reset(new paddle::NewRemoteParameterUpdater(
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config->m->getConfig(), pserverSpec, useEtcd));
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return updater;
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#else
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throw UnsupportError("not compiled with WITH_GOLANG");
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#endif
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}
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ParameterUpdater *ParameterUpdater::createRemoteUpdater(
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OptimizationConfig *config, int passCount, bool useSparseUpdater) {
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auto updater = new ParameterUpdater();
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auto remoteUpdater = new paddle::RemoteParameterUpdater(
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config->m->getConfig(), passCount, nullptr);
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if (useSparseUpdater) {
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std::unique_ptr<paddle::ParameterUpdater> remoteUpdaterPtr(remoteUpdater);
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auto sparseRemoteUpdater =
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new paddle::SparseRemoteParameterUpdaterComposite(
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config->m->getConfig(),
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passCount,
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false,
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std::move(remoteUpdaterPtr));
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updater->m->updater.reset(sparseRemoteUpdater);
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} else {
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updater->m->updater.reset(remoteUpdater);
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}
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return updater;
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}
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ParameterUpdater::~ParameterUpdater() { delete m; }
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void ParameterUpdater::init(const GradientMachine &gm) {
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m->updater->init(gm.m->machine->getNonStaticParameters());
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}
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void ParameterUpdater::startPass() { m->updater->startPass(); }
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void ParameterUpdater::finishPass() { m->updater->finishPass(); }
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PassType ParameterUpdater::startBatch(size_t batchSize) {
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return m->updater->startBatch((int64_t)batchSize);
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}
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void ParameterUpdater::finishBatch(float cost) {
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m->updater->finishBatch(cost);
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}
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void ParameterUpdater::update(Parameter *param) {
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auto paddleParam = param->m->getPtr();
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m->updater->update(paddleParam);
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}
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void ParameterUpdater::getParametersRemote(bool fullSize, bool apply) {
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m->updater->getParametersRemote(fullSize, apply);
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}
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void ParameterUpdater::restore() { m->updater->restore(); }
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void ParameterUpdater::apply() { m->updater->apply(); }
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void ParameterUpdater::catchUpWith() { m->updater->catchUpWith(); }
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