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 *  *  information regarding copyright ownership.
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package org.nd4j.linalg.api.ops.impl.shape;

import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.Op;

import java.util.ArrayList;
import java.util.Collections;
import java.util.List;

public class SizeAt extends DynamicCustomOp {

    public SizeAt() {}

    public SizeAt(INDArray input, int dimension) {
        this(input, null, dimension);
    }

    public SizeAt(INDArray input, INDArray output, int dimension) {
        super(null,input, output, new ArrayList(), new int[]{dimension});
    }

    public SizeAt(SameDiff sameDiff, SDVariable input, int dimension) {
        super(null, sameDiff, new SDVariable[] {input}, false);

        iArguments.add(Long.valueOf(dimension));
    }

    @Override
    public String opName() {
        return "size_at";
    }

    @Override
    public Op.Type opType() {
        return Op.Type.CUSTOM;
    }

    @Override
    public List doDiff(List i_v) {
        return Collections.singletonList(sameDiff.zerosLike(arg()));
    }

    @Override
    public List calculateOutputDataTypes(List dataTypes){
        Preconditions.checkState(dataTypes.size() == 1, "Expected list with exactly 1 datatype for %s, got %s", getClass(), dataTypes);
        //Output type is always long (i.e., size of array)
        return Collections.singletonList(DataType.LONG);
    }
}




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