org.nd4j.linalg.api.ops.impl.broadcast.bool.BroadcastNotEqual Maven / Gradle / Ivy
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* * 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.
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* * 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
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.broadcast.bool;
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.BaseBroadcastBoolOp;
import java.util.List;
public class BroadcastNotEqual extends BaseBroadcastBoolOp {
public BroadcastNotEqual() {}
public BroadcastNotEqual(INDArray x, INDArray y, INDArray z, int... dimension) {
super(x, y, z, dimension);
}
public BroadcastNotEqual(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension) {
super(sameDiff, i_v1, i_v2, dimension);
}
public BroadcastNotEqual(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace, int[] dimension) {
super(sameDiff, i_v1, i_v2, inPlace, dimension);
}
public BroadcastNotEqual(SameDiff sameDiff) {
super(sameDiff);
}
public BroadcastNotEqual(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension, Object[] extraArgs) {
super(sameDiff, i_v1, i_v2, dimension, extraArgs);
}
public BroadcastNotEqual(SameDiff sameDiff, SDVariable i_v, int[] dimension, boolean inPlace) {
super(sameDiff, i_v, dimension, inPlace);
}
public BroadcastNotEqual(SameDiff sameDiff, SDVariable i_v, long[] shape, boolean inPlace, int[] dimension, Object[] extraArgs) {
super(sameDiff, i_v, shape, inPlace, dimension, extraArgs);
}
public BroadcastNotEqual(SameDiff sameDiff, SDVariable i_v, int[] dimension, Object[] extraArgs) {
super(sameDiff, i_v, dimension, extraArgs);
}
@Override
public int opNum() {
return 6;
}
@Override
public String opName() {
return "broadcast_notequal";
}
@Override
public String onnxName(){
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName(){
throw new NoOpNameFoundException("No tensorflow op opName found for " + opName());
}
@Override
public List doDiff(List f1) {
return null;
}
}