org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.ModOp Maven / Gradle / Ivy
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* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
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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.ModBpOp;
import java.util.List;
public class ModOp extends BaseDynamicTransformOp {
public static final String OP_NAME = "mod";
public ModOp() {}
public ModOp(@NonNull SameDiff sameDiff, @NonNull SDVariable x, @NonNull SDVariable y) {
super(sameDiff, new SDVariable[]{x, y}, false);
}
public ModOp(INDArray first, INDArray second, INDArray result){
this(new INDArray[]{first, second}, result == null ? null : new INDArray[]{result});
}
public ModOp(@NonNull INDArray x, @NonNull INDArray y){
this(new INDArray[]{x, y}, null);
}
public ModOp(INDArray[] inputs, INDArray[] outputs) {
super(inputs, outputs);
}
@Override
public String opName() {
return OP_NAME;
}
@Override
public String onnxName() {
return "Mod";
}
@Override
public String tensorflowName() {
return "Mod";
}
@Override
public List doDiff(List i_v) {
return new ModBpOp(sameDiff, larg(), rarg(), i_v.get(0)).outputs();
}
}