/*
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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.
 *  *
 *  *  See the NOTICE file distributed with this work for additional
 *  *  information regarding copyright ownership.
 *  * 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.
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package org.deeplearning4j.optimize.listeners;

import lombok.extern.slf4j.Slf4j;
import org.deeplearning4j.nn.api.Model;
import org.deeplearning4j.optimize.api.BaseTrainingListener;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.Serializable;
import java.util.Date;
import java.util.concurrent.atomic.AtomicLong;

@Slf4j
public class TimeIterationListener extends BaseTrainingListener implements Serializable {
    private long start;
    private int iterationCount;
    private AtomicLong iterationCounter = new AtomicLong(0);

    /**
     * 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(Model model, int iteration, int epoch) {
        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);
        log.info("Remaining time : " + minutes + "mn - End expected : " + date.toString());
    }

}
