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• Set.java

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org.nd4j.linalg.api.ops.impl.transforms.Set Maven / Gradle / Ivy

package org.nd4j.linalg.api.ops.impl.transforms;

import org.nd4j.linalg.api.complex.IComplexNumber;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import org.nd4j.linalg.api.ops.Op;

/**
 * Set
 * @author Adam Gibson
 */
public class Set extends BaseTransformOp {
    public Set(INDArray x, INDArray z) {
        super(x, z);
    }

    public Set() {}

    public Set(INDArray x, INDArray z, long n) {
        super(x, z, n);
    }

    public Set(INDArray x, INDArray y, INDArray z, long n) {
        super(x, y, z, n);
    }

    public Set(INDArray x) {
        super(x);
    }

    @Override
    public int opNum() {
        //return 63 when this libnd4j PR is merged
        return 16;
    }

    @Override
    public String name() {
        return "set";
    }

    @Override
    public IComplexNumber op(IComplexNumber origin, double other) {
        return origin;
    }

    @Override
    public IComplexNumber op(IComplexNumber origin, float other) {
        return origin;
    }

    @Override
    public IComplexNumber op(IComplexNumber origin, IComplexNumber other) {
        return other;
    }

    @Override
    public float op(float origin, float other) {
        return other;
    }

    @Override
    public double op(double origin, double other) {
        return other;
    }

    @Override
    public double op(double origin) {
        return origin;
    }

    @Override
    public float op(float origin) {
        return origin;
    }

    @Override
    public IComplexNumber op(IComplexNumber origin) {
        return origin;
    }

    @Override
    public Op opForDimension(int index, int dimension) {
        INDArray xAlongDimension = x.tensorAlongDimension(index, dimension);
        if (y() != null)
            return new Set(x.tensorAlongDimension(index, dimension), y.vectorAlongDimension(index, dimension),
                            z.tensorAlongDimension(index, dimension), xAlongDimension.length());
        else
            return new Set(x.tensorAlongDimension(index, dimension), z.tensorAlongDimension(index, dimension),
                            xAlongDimension.length());

    }

    @Override
    public Op opForDimension(int index, int... dimension) {
        INDArray xAlongDimension = x.tensorAlongDimension(index, dimension);
        if (y() != null)
            return new Set(x.tensorAlongDimension(index, dimension), y.tensorAlongDimension(index, dimension),
                            z.tensorAlongDimension(index, dimension), xAlongDimension.length());
        else
            return new Set(x.tensorAlongDimension(index, dimension), z.tensorAlongDimension(index, dimension),
                            xAlongDimension.length());

    }
}