org.nd4j.linalg.api.ops.impl.transforms.same.Square 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.same;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import org.nd4j.linalg.api.ops.BaseTransformSameOp;
import java.util.Arrays;
import java.util.List;
/**
* Square function (x ^ 2)
*
* @author Adam Gibson
*/
public class Square extends BaseTransformSameOp {
public Square(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
super(sameDiff, i_v, inPlace);
}
public Square() {
}
public Square(INDArray x, INDArray z) {
super(x, z);
}
public Square(INDArray x) {
super(x);
}
@Override
public int opNum() {
return 12;
}
@Override
public String opName() {
return "square";
}
@Override
public String onnxName() {
return "Square";
}
@Override
public String tensorflowName() {
return "Square";
}
@Override
public List doDiff(List i_v) {
SDVariable g = f().powDerivative(arg(), 2).mul(i_v.get(0));
return Arrays.asList(g);
}
}