org.nd4j.autodiff.util.TrainingUtils Maven / Gradle / Ivy
/*
* ******************************************************************************
* *
* *
* * 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.nd4j.autodiff.util;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import lombok.AccessLevel;
import lombok.NoArgsConstructor;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
import org.nd4j.linalg.exception.ND4JException;
import org.nd4j.linalg.factory.Nd4j;
/**
* Utilities for SameDiff training and inference
*/
@NoArgsConstructor(access = AccessLevel.PRIVATE)
public class TrainingUtils {
/**
* Stack batch outputs, like an output from {@link org.nd4j.autodiff.samediff.SameDiff#output(MultiDataSetIterator, String...)}
*/
public static Map stackOutputs(List> outputs){
Map> outs = new HashMap<>();
for(Map batch : outputs){
for(String k : batch.keySet()){
if(!outs.containsKey(k))
outs.put(k, new ArrayList());
outs.get(k).add(batch.get(k));
}
}
Map ret = new HashMap<>();
for(String k : outs.keySet()){
try {
ret.put(k, Nd4j.concat(0, outs.get(k).toArray(new INDArray[0])));
} catch(Exception e){
throw new ND4JException("Error concatenating batch outputs", e);
}
}
return ret;
}
/**
* Get a list of batch outputs for a single variable from a list of batch outputs for all variables
*/
public static List getSingleOutput(List> outputs, String output){
List batches = new ArrayList<>();
for(Map batch : outputs)
batches.add(batch.get(output));
return batches;
}
}