org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.SquaredDifferenceOp Maven / Gradle / Ivy
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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 org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.SquaredDifferenceBpOp;
import java.util.List;
public class SquaredDifferenceOp extends BaseDynamicTransformOp {
public static final String OP_NAME = "squaredsubtract";
public SquaredDifferenceOp() {}
public SquaredDifferenceOp(SameDiff sameDiff, SDVariable x, SDVariable y, boolean inPlace) {
super(sameDiff, new SDVariable[]{x,y}, inPlace);
}
public SquaredDifferenceOp(SameDiff sameDiff, SDVariable x, SDVariable y) {
this(sameDiff, x, y, false);
}
public SquaredDifferenceOp(INDArray x, INDArray y, INDArray output) {
super(new INDArray[]{x,y}, new INDArray[]{output});
}
public SquaredDifferenceOp(INDArray x, INDArray y) {
addInputArgument(new INDArray[]{x,y});
}
@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 "SquaredDifference";
}
@Override
public List doDiff(List i_v1) {
return new SquaredDifferenceBpOp(sameDiff, new SDVariable[]{larg(), rarg(), i_v1.get(0)}).outputs();
}
}