org.nd4j.linalg.api.ops.impl.transforms.LogSigmoidDerivative Maven / Gradle / Ivy
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* 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
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* under the License.
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* SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.transforms;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseGradientOp;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.ops.transforms.Transforms;
import java.util.List;
/**
* LogSigmoid derivative
*
* @author [email protected]
*/
public class LogSigmoidDerivative extends BaseGradientOp {
public LogSigmoidDerivative(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2) {
super(sameDiff, i_v1, i_v2);
}
public LogSigmoidDerivative(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace) {
super(sameDiff, i_v1, i_v2, inPlace);
}
public LogSigmoidDerivative() {}
public LogSigmoidDerivative(INDArray x, INDArray z) {
super(x, z);
}
public LogSigmoidDerivative(INDArray x, INDArray z, long n) {
super(x, z, n);
}
public LogSigmoidDerivative(INDArray x, INDArray y, INDArray z, long n) {
super(x, y, z, n);
}
public LogSigmoidDerivative(INDArray x) {
super(x);
}
@Override
public int opNum() {
return 89;
}
@Override
public String opName() {
return "_logsigmoidderivative";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow op opName found for " + opName());
}
@Override
public void exec(){
Nd4j.getExecutioner().exec(new Sigmoid(x,z));
z.muli(Transforms.exp(x.neg(),false)).muli(y);
}
@Override
public List doDiff(List f1) {
throw new UnsupportedOperationException();
}
}