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/*******************************************************************************
* 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;
import lombok.NonNull;
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.BaseTransformOp;
import java.util.Arrays;
import java.util.List;
/**
* Boolean AND pairwise transform
*
* @author [email protected]
*/
public class And extends BaseTransformOp {
protected double comparable = 0.0;
public And(SameDiff sameDiff, SDVariable ix, SDVariable iy){
super(sameDiff, ix, iy);
this.extraArgs = new Object[] {this.comparable};
}
public And(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
super(sameDiff, i_v, inPlace);
this.extraArgs = new Object[] {this.comparable};
}
public And(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, Object[] extraArgs) {
super(sameDiff, i_v, shape, inPlace, extraArgs);
this.extraArgs = new Object[] {this.comparable};
}
public And(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs) {
super(sameDiff, i_v, extraArgs);
this.extraArgs = new Object[] {this.comparable};
}
public And(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double comparable) {
super(sameDiff, i_v, inPlace);
this.comparable = comparable;
this.extraArgs = new Object[] {this.comparable};
}
public And(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, Object[] extraArgs, double comparable) {
super(sameDiff, i_v, shape, inPlace, extraArgs);
this.comparable = comparable;
this.extraArgs = new Object[] {this.comparable};
}
public And(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs, double comparable) {
super(sameDiff, i_v, extraArgs);
this.comparable = comparable;
this.extraArgs = new Object[] {this.comparable};
}
public And() {}
public And(@NonNull INDArray x, @NonNull INDArray y) {
this(x, y, 0.0);
}
public And(@NonNull INDArray x, @NonNull INDArray y, Number comparable) {
this(x, y, x, comparable, x.lengthLong());
}
public And(@NonNull INDArray x, @NonNull INDArray y, INDArray z, Number comparable) {
this(x, y, z, comparable, x.lengthLong());
}
public And(@NonNull INDArray x, @NonNull INDArray y, long n) {
this(x, y, x, n);
}
public And(@NonNull INDArray x, @NonNull INDArray y, INDArray z) {
this(x, y, z, z.lengthLong());
}
public And(@NonNull INDArray x, @NonNull INDArray y, INDArray z, long n) {
this(x, y, z, 0.0, n);
}
public And(@NonNull INDArray x, @NonNull INDArray y, INDArray z, Number comparable, long n) {
super(x, y, z, n);
this.comparable = comparable.doubleValue();
this.extraArgs = new Object[] {this.comparable};
}
@Override
public int opNum() {
return 56;
}
@Override
public String opName() {
return "boolean_and";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
// FIXME: what op is this, actually?
return "boolean_and";
}
@Override
public List doDiff(List f1) {
return Arrays.asList( sameDiff.zerosLike(larg()), sameDiff.zerosLike(rarg()));
}
}