org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarOr 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.comparison;
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.BaseScalarBoolOp;
import java.util.Arrays;
import java.util.List;
/**
* Return a binary (0 or 1)
* when greater than a number
*
* @author Adam Gibson
*/
public class ScalarOr extends BaseScalarBoolOp {
public ScalarOr() {
}
public ScalarOr(INDArray x, INDArray z, Number num) {
super(x, null, z, num);
}
public ScalarOr(INDArray x, Number num) {
super(x, num);
}
public ScalarOr(SameDiff sameDiff, SDVariable i_v, Number scalar) {
super(sameDiff, i_v, scalar);
}
public ScalarOr(SameDiff sameDiff, SDVariable i_v, Number scalar, boolean inPlace) {
super(sameDiff, i_v, scalar, inPlace);
}
@Override
public int opNum() {
return 8;
}
@Override
public String opName() {
return "or_scalar";
}
@Override
public String onnxName() {
return "OrScalar";
}
@Override
public List doDiff(List f1) {
//Not continuously differentiable, but 0 gradient in most places
return Arrays.asList(sameDiff.zerosLike(arg()));
}
}