org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.DivOp 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.
* *
* * 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
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* * under the License.
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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 lombok.NonNull;
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.impl.transforms.BaseDynamicTransformOp;
import org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.DivBpOp;
import java.util.Arrays;
import java.util.List;
/**
* Division operation
*
* @author Adam Gibson
*/
public class DivOp extends BaseDynamicTransformOp {
public static final String OP_NAME = "divide";
public DivOp() {}
public DivOp( @NonNull SameDiff sameDiff, @NonNull SDVariable x, @NonNull SDVariable y) {
super(sameDiff, new SDVariable[]{x, y}, false);
}
public DivOp(INDArray first, INDArray second, INDArray result){
this(new INDArray[]{first, second}, result == null ? null : new INDArray[]{result});
}
public DivOp( @NonNull INDArray x, INDArray y) {
this(new INDArray[]{x,y}, null);
}
public DivOp( INDArray[] inputs, INDArray[] outputs) {
super(inputs, outputs);
}
@Override
public String opName() {
return OP_NAME;
}
@Override
public String onnxName() {
return "Div";
}
@Override
public String tensorflowName() {
return "Div";
}
@Override
public List doDiff(List i_v) {
return Arrays.asList(new DivBpOp(sameDiff, larg(), rarg(), i_v.get(0)).outputVariables());
}
}