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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.
* *
* * 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.broadcast;
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.BaseBroadcastOp;
import java.util.List;
public class BroadcastDivOp extends BaseBroadcastOp {
public BroadcastDivOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension) {
super(sameDiff, i_v1, i_v2, dimension);
}
public BroadcastDivOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace, int[] dimension) {
super(sameDiff, i_v1, i_v2, inPlace, dimension);
}
public BroadcastDivOp(SameDiff sameDiff) {
super(sameDiff);
}
public BroadcastDivOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension, Object[] extraArgs) {
super(sameDiff, i_v1, i_v2, dimension, extraArgs);
}
public BroadcastDivOp(SameDiff sameDiff, SDVariable i_v, int[] dimension, boolean inPlace) {
super(sameDiff, i_v, dimension, inPlace);
}
public BroadcastDivOp(SameDiff sameDiff, SDVariable i_v, long[] shape, boolean inPlace, int[] dimension, Object[] extraArgs) {
super(sameDiff, i_v, shape, inPlace, dimension, extraArgs);
}
public BroadcastDivOp(SameDiff sameDiff, SDVariable i_v, int[] dimension, Object[] extraArgs) {
super(sameDiff, i_v, dimension, extraArgs);
}
public BroadcastDivOp() {}
public BroadcastDivOp(INDArray x, INDArray y, INDArray z, int... dimension) {
super(x, y, z, dimension);
}
@Override
public int opNum() {
return 3;
}
@Override
public String opName() {
return "broadcastdiv";
}
@Override
public List doDiff(List f1) {
return null;
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx opName found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow opName found for " + opName());
}
}