org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo 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.broadcast;
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.BaseBroadcastOp;
import java.util.Arrays;
import java.util.List;
public class BroadcastEqualTo extends BaseBroadcastOp {
public BroadcastEqualTo() {}
public BroadcastEqualTo(INDArray x, INDArray y, INDArray z, int... dimension) {
super(x, y, z, dimension);
}
public BroadcastEqualTo(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension) {
super(sameDiff, i_v1, i_v2, dimension);
}
public BroadcastEqualTo(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace, int[] dimension) {
super(sameDiff, i_v1, i_v2, inPlace, dimension);
}
public BroadcastEqualTo(SameDiff sameDiff) {
super(sameDiff);
}
public BroadcastEqualTo(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension, Object[] extraArgs) {
super(sameDiff, i_v1, i_v2, dimension, extraArgs);
}
public BroadcastEqualTo(SameDiff sameDiff, SDVariable i_v, int[] dimension, boolean inPlace) {
super(sameDiff, i_v, dimension, inPlace);
}
public BroadcastEqualTo(SameDiff sameDiff, SDVariable i_v, long[] shape, boolean inPlace, int[] dimension, Object[] extraArgs) {
super(sameDiff, i_v, shape, inPlace, dimension, extraArgs);
}
public BroadcastEqualTo(SameDiff sameDiff, SDVariable i_v, int[] dimension, Object[] extraArgs) {
super(sameDiff, i_v, dimension, extraArgs);
}
@Override
public int opNum() {
return 7;
}
@Override
public String opName() {
return "broadcast_equalto";
}
@Override
public List doDiff(List f1) {
return Arrays.asList(outputVariables()[0]);
}
@Override
public String onnxName() {
return "Equal";
}
@Override
public String tensorflowName() {
return "equal";
}
}