org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp 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.functions.DifferentialFunction;
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 BroadcastRSubOp extends BaseBroadcastOp {
public BroadcastRSubOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension) {
super(sameDiff, i_v1, i_v2, dimension);
}
public BroadcastRSubOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace, int[] dimension) {
super(sameDiff, i_v1, i_v2, inPlace, dimension);
}
public BroadcastRSubOp(SameDiff sameDiff) {
super(sameDiff);
}
public BroadcastRSubOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension, Object[] extraArgs) {
super(sameDiff, i_v1, i_v2, dimension, extraArgs);
}
public BroadcastRSubOp(SameDiff sameDiff, SDVariable i_v, int[] dimension, boolean inPlace) {
super(sameDiff, i_v, dimension, inPlace);
}
public BroadcastRSubOp(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, int[] dimension, Object[] extraArgs) {
super(sameDiff, i_v, shape, inPlace, dimension, extraArgs);
}
public BroadcastRSubOp(SameDiff sameDiff, SDVariable i_v, int[] dimension, Object[] extraArgs) {
super(sameDiff, i_v, dimension, extraArgs);
}
public BroadcastRSubOp() {}
public BroadcastRSubOp(INDArray x, INDArray y, INDArray z, int... dimension) {
super(x, y, z, dimension);
}
@Override
public int opNum() {
return 5;
}
@Override
public String opName() {
return "broadcastrsub";
}
@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;
}
}