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/*
* ******************************************************************************
* *
* *
* * This program and the accompanying materials are made available under the
* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
* *
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* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
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* * 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.
* *
* * SPDX-License-Identifier: Apache-2.0
* *****************************************************************************
*/
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package org.deeplearning4j.optimize.listeners;
import java.io.Serializable;
import java.util.Date;
import java.util.concurrent.atomic.AtomicLong;
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import lombok.extern.slf4j.Slf4j;
import net.brutex.ai.dnn.api.IModel;
import org.deeplearning4j.optimize.api.BaseTrainingListener;
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@Slf4j
public class TimeIterationListener extends BaseTrainingListener implements Serializable {
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private final long start;
private final int iterationCount;
private final AtomicLong iterationCounter = new AtomicLong(0);
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/**
* Constructor
* @param iterationCount The global number of iteration for training (all epochs)
*/
public TimeIterationListener(int iterationCount) {
this.iterationCount = iterationCount;
start = System.currentTimeMillis();
}
@Override
public void iterationDone(IModel model, int iteration, int epoch) {
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long currentIteration = iterationCounter.incrementAndGet();
long elapsed = System.currentTimeMillis() - start;
long remaining = (iterationCount - currentIteration) * elapsed / currentIteration;
long minutes = remaining / (1000 * 60);
Date date = new Date(start + elapsed + remaining);
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log.info("Remaining time : " + minutes + "mn - End expected : " + date);
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}
}