org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.PowPairwise 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
* * 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
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic;
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.BaseTransformAnyOp;
import java.util.List;
public class PowPairwise extends BaseTransformAnyOp {
public PowPairwise(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2) {
super(sameDiff, i_v1, i_v2);
}
public PowPairwise(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace) {
super(sameDiff, i_v1, i_v2, inPlace);
}
public PowPairwise() {}
public PowPairwise(INDArray x) {
super(x);
}
public PowPairwise(INDArray x, INDArray z) {
super(x, z);
}
public PowPairwise(INDArray x, INDArray y, INDArray z) {
super(x, y, z);
}
@Override
public int opNum() {
return 4;
}
@Override
public List doDiff(List f1) {
throw new UnsupportedOperationException();
}
@Override
public String opName() {
return "pow_pairwise";
}
@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());
}
}