org.nd4j.autodiff.util.SameDiffUtils Maven / Gradle / Ivy
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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.
* *
* * SPDX-License-Identifier: Apache-2.0
* *****************************************************************************
*/
package org.nd4j.autodiff.util;
import java.util.*;
import lombok.AccessLevel;
import lombok.NoArgsConstructor;
import org.nd4j.autodiff.functions.DifferentialFunction;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.autodiff.samediff.config.ExecutionResult;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.impl.layers.ExternalErrorsFunction;
import org.nd4j.linalg.api.ops.impl.shape.ReductionShape;
import org.nd4j.linalg.api.shape.Shape;
import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
import org.nd4j.linalg.exception.ND4JException;
import org.nd4j.linalg.factory.Nd4j;
@NoArgsConstructor(access = AccessLevel.PRIVATE)
public class SameDiffUtils {
/**
* Stack batch outputs, like an output from {@link SameDiff#output(MultiDataSetIterator, String...)}
*/
public static Map stackOutputs(List outputs){
Map> outs = new HashMap<>();
for(ExecutionResult batch : outputs) {
if(batch.getOutputs() != null) {
for(String k : batch.getOutputs().keySet()) {
if(!outs.containsKey(k))
outs.put(k, new ArrayList<>());
outs.get(k).add(batch.getOutputs().get(k).get());
}
} else if(batch.getValueOutputs() != null) {
for(String k : batch.getValueOutputs().keySet()) {
if(!outs.containsKey(k))
outs.put(k, new ArrayList<>());
outs.get(k).add(batch.getValueOutputs().get(k).getTensorValue());
}
}
}
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