org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.TruncateDivOp Maven / Gradle / Ivy
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* * terms of the Apache License, Version 2.0 which is available at
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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.impl.transforms.BaseDynamicTransformOp;
import java.util.ArrayList;
import java.util.List;
public class TruncateDivOp extends BaseDynamicTransformOp {
public static final String OP_NAME = "truncatediv";
public TruncateDivOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2) {
super(sameDiff, new SDVariable[] {i_v1, i_v2 }, false);
}
public TruncateDivOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace) {
super(sameDiff, new SDVariable[] {i_v1, i_v2}, inPlace);
}
public TruncateDivOp() {}
public TruncateDivOp(INDArray x, INDArray y, INDArray z) {
super(new INDArray[]{x, y}, new INDArray[]{z});
}
@Override
public String opName() {
return OP_NAME;
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
return "TruncateDiv";
}
@Override
public List doDiff(List i_v) {
SDVariable gradWrtX = sameDiff.math.div(i_v.get(0),rarg());
SDVariable gradWrtY = sameDiff.math.mul(sameDiff.math.neg(gradWrtX),sameDiff.math.div(larg(),rarg()));
List ret = new ArrayList<>(2);
ret.add(gradWrtX);
ret.add(gradWrtY);
return ret;
}
}