org.nd4j.linalg.api.ops.impl.loss.bp.LogPoissonLossBp Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2019 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.bp;
import org.nd4j.autodiff.loss.LossReduce;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
/**
* Log Poisson loss backprop
*
* @author Paul Dubs
*/
public class LogPoissonLossBp extends BaseLossBp {
private boolean full = false;
public LogPoissonLossBp(SameDiff sameDiff, LossReduce lossReduce, SDVariable predictions, SDVariable weights, SDVariable labels){
this(sameDiff, lossReduce, predictions, weights, labels, false);
}
public LogPoissonLossBp(SameDiff sameDiff, LossReduce lossReduce, SDVariable predictions, SDVariable weights, SDVariable labels, boolean full){
super(sameDiff, lossReduce, predictions, weights, labels);
this.full = full;
addArgs();
}
public LogPoissonLossBp(){ }
protected void addArgs(){
super.addArgs();
if(full){
iArguments.add((long) 1);
}
}
@Override
public String opName() {
return "log_poisson_loss_grad";
}
}