102 lines
2.8 KiB
Java

/*
* ******************************************************************************
* *
* *
* * 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.
* *
* * SPDX-License-Identifier: Apache-2.0
* *****************************************************************************
*/
package org.deeplearning4j.parallelism.trainer;
import lombok.NonNull;
import net.brutex.ai.dnn.api.IModel;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.dataset.api.DataSet;
import org.nd4j.linalg.dataset.api.MultiDataSet;
public interface Trainer extends Runnable {
/**
* Train on a {@link MultiDataSet}
* @param dataSet the data set to train on
*/
void feedMultiDataSet(@NonNull MultiDataSet dataSet, long etlTime);
/**
* Train on a {@link DataSet}
* @param dataSet the data set to train on
*/
void feedDataSet(@NonNull DataSet dataSet, long etlTime);
/**
* This method updates replicated model params
* @param params
*/
void updateModelParams(INDArray params);
/**
* This method updates updater params of the replicated model
* @param params
*/
void updateUpdaterParams(INDArray params);
/**
* THe current model for the trainer
* @return the current {@link IModel}
* for the worker
*/
IModel getModel();
/**
* Update the current {@link IModel}
* for the worker
* @param model the new model for this worker
*/
void updateModel(@NonNull IModel model);
boolean isRunning();
String getUuid();
/**
* Shutdown this worker
*/
void shutdown();
/**
* Block the main thread
* till the trainer is up and running.
*/
void waitTillRunning();
/**
* Set the {@link java.lang.Thread.UncaughtExceptionHandler}
* for this {@link Trainer}
* @param handler the handler for uncaught errors
*/
void setUncaughtExceptionHandler(Thread.UncaughtExceptionHandler handler);
/**
* Start this trainer
*/
void start();
/**
* This method returns TRUE if this Trainer implementation assumes periodic aver
* @return
*/
boolean averagingRequired();
}