org.nd4j.linalg.api.ops.impl.transforms.comparison.IsStrictlyIncreasing 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.comparison;
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.DynamicCustomOp;
import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
/**
* This op takes 1 n-dimensional array as input,
* and returns true if for every adjacent pair we have x[i] < x[i+1].
*
*/
public class IsStrictlyIncreasing extends DynamicCustomOp {
public IsStrictlyIncreasing() {}
public IsStrictlyIncreasing( SameDiff sameDiff, SDVariable[] args, boolean inPlace) {
super(null, sameDiff, args, inPlace);
}
public IsStrictlyIncreasing( INDArray[] inputs, INDArray[] outputs) {
super(null, inputs, outputs);
}
@Override
public String opName() {
return "is_strictly_increasing";
}
@Override
public String tensorflowName() {
return "IsStrictlyIncreasing";
}
@Override
public List doDiff(List f1) {
return Collections.singletonList(sameDiff.zerosLike(arg()));
}
}