org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative 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.transforms.gradient;
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.factory.Nd4j;
import java.util.Arrays;
import java.util.List;
/**
*
*/
public class TanhDerivative extends BaseGradientOp {
public TanhDerivative(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2) {
super(sameDiff, i_v1, i_v2);
}
public TanhDerivative(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace) {
super(sameDiff, i_v1, i_v2, inPlace);
}
public TanhDerivative(INDArray x, INDArray z) {
super(x, z);
}
public TanhDerivative() {
}
public TanhDerivative(INDArray x, INDArray z, long n) {
super(x, z, n);
}
public TanhDerivative(INDArray x, INDArray y, INDArray z) {
super(x, y, z, z.lengthLong());
}
public TanhDerivative(INDArray x) {
super(x);
}
/**
* An op number
*
* @return
*/
@Override
public int opNum() {
return 0;
}
/**
* The opName of this operation
*
* @return the opName of this operation
*/
@Override
public String opName() {
return "tanhderivative";
}
@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 org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative(x, z));
z.muli(wrt());
}
@Override
public void exec(int... dimensions) {
super.exec(dimensions);
}
@Override
public List doDiff(List i_v) {
SDVariable ret = f().div(f().one(outputVariables()[0].getShape()), f().pow(f().cosh(arg()), 2));
return Arrays.asList(ret);
}
}