org.nd4j.linalg.api.ops.impl.scalar.PowDerivative 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.scalar;
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.BaseScalarOp;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import java.util.List;
/**
* Pow derivative
*
* z = n * x ^ (n-1)
*
* @author [email protected]
*/
public class PowDerivative extends BaseScalarOp {
private double pow;
public PowDerivative(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double pow) {
super(sameDiff, i_v, pow, inPlace);
this.pow = pow;
this.extraArgs = new Object[] {pow};
}
public PowDerivative() {}
public PowDerivative(INDArray x, INDArray z, double pow) {
super(x, z, pow);
this.pow = pow;
}
public PowDerivative(INDArray x, double pow) {
super(x, pow);
this.pow = pow;
}
@Override
public int opNum() {
return 32;
}
@Override
public String opName() {
return "_powderivative";
}
@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 List doDiff(List f1) {
throw new UnsupportedOperationException();
}
}