org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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.
*
* 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.linalg.api.ops.impl.loss;
import lombok.NoArgsConstructor;
import org.nd4j.autodiff.loss.LossReduce;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.Op;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.*;
/**
* Sigmoid cross entropy loss with logits
*
* @author Max Pumperla
*/
@NoArgsConstructor
public class SigmoidCrossEntropyLoss extends BaseLoss {
public static final double DEFAULT_LABEL_SMOOTHING = 0.0;
private double labelSmoothing = 0.0;
public SigmoidCrossEntropyLoss(SameDiff sameDiff, LossReduce lossReduce, SDVariable logits, SDVariable weights,
SDVariable labels, double labelSmoothing) {
super(sameDiff, lossReduce, logits, weights, labels);
this.labelSmoothing = labelSmoothing;
addArgs();
}
public SigmoidCrossEntropyLoss(SameDiff sameDiff, LossReduce reductionMode, SDVariable logits, SDVariable weights, SDVariable labels) {
this(sameDiff, reductionMode, logits, weights, labels, 0.0);
}
public void addArgs() {
super.addArgs();
addTArgument(labelSmoothing);
}
@Override
public String opName() {
return "sigm_cross_entropy_loss";
}
@Override
public List doDiff(List grad){
//No external gradient
//Args are: predictions, weights, label
SDVariable[] grads = f().lossSigmoidCrossEntropyBp(arg(2), arg(0), arg(1), lossReduce, labelSmoothing);
return Arrays.asList(grads);
}
}