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72 lines
1.9 KiB
72 lines
1.9 KiB
8 years ago
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/* Copyright (c) 2016 Baidu, Inc. 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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#undef PADDLE_DISABLE_TIMER
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#include "Trainer.h"
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#include "paddle/utils/Stat.h"
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#include "paddle/utils/Util.h"
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P_DECLARE_int32(test_period);
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P_DEFINE_bool(feed_data, false, "Wether to read data from DataProvider.");
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namespace paddle {
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void Trainer::time() {
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startTrain();
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trainerInternal_.getParameterUpdater()->startPass();
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evaluator_->start();
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DataBatch dataBatch;
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int32_t batchSize = config_->getOptConfig().batch_size();
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int32_t num = dataProvider_->getNextBatch(batchSize, &dataBatch);
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CHECK_EQ(num, batchSize) << "The sample number is less than batch size "
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<< num << " != " << batchSize;
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CHECK(dataBatch.getSize()) << "No data from data provider";
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std::vector<paddle::Argument> outputs;
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// burning time
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LOG(INFO) << "Burning time...";
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for (int n = 0; n < 10; ++n) {
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trainerInternal_.trainOneBatch(n, dataBatch, &outputs);
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}
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LOG(INFO) << "Burning time end.";
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for (int n = 0; n < FLAGS_test_period; n++) {
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if (FLAGS_feed_data) {
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REGISTER_TIMER("GetData");
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num = dataProvider_->getNextBatch(batchSize, &dataBatch);
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}
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if (num != batchSize) {
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break;
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}
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{
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REGISTER_TIMER("FwdBwd");
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trainerInternal_.trainOneBatch(n, dataBatch, &outputs);
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}
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}
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globalStat.setThreadInfo(true);
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globalStat.printSegTimerStatus();
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globalStat.reset();
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finishTrain();
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}
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} // namespace paddle
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