org.nd4j.linalg.api.ops.impl.transforms.bool.BooleanNot Maven / Gradle / Ivy
/*
* ******************************************************************************
* *
* *
* * 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.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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.bool;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseTransformBoolOp;
import java.util.Collections;
import java.util.List;
public class BooleanNot extends BaseTransformBoolOp {
public BooleanNot(SameDiff sameDiff, SDVariable i_v) {
super(sameDiff, i_v, false);
}
public BooleanNot() {
//
}
public BooleanNot(@NonNull INDArray x) {
this(x, x);
}
public BooleanNot(@NonNull INDArray x, INDArray z) {
super(x, null, z);
Preconditions.checkArgument(x.dataType() == DataType.BOOL, "X operand must be BOOL");
Preconditions.checkArgument(z.dataType() == DataType.BOOL, "Z operand must be BOOL");
}
@Override
public int opNum() {
return 7;
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("Onnx name not found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("Tensorflow name not found for " + opName());
}
@Override
public String opName() {
return "bool_not";
}
@Override
public List doDiff(List f1) {
return Collections.singletonList(sameDiff.zerosLike(arg()));
}
}