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Library for use in Java components of Vespa. Shared code which do not fit anywhere else.

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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.tensor.functions;

import com.yahoo.tensor.evaluation.Name;

import java.util.List;
import java.util.Objects;

/**
 * @author bratseth
 */
public class XwPlusB extends CompositeTensorFunction {

    private final TensorFunction x, w, b;
    private final String dimension;

    public XwPlusB(TensorFunction x, TensorFunction w, TensorFunction b, String dimension) {
        this.x = x;
        this.w = w;
        this.b = b;
        this.dimension = dimension;
    }

    @Override
    public List> arguments() { return List.of(x, w, b); }

    @Override
    public TensorFunction withArguments(List> arguments) {
        if ( arguments.size() != 3)
            throw new IllegalArgumentException("XwPlusB must have 3 arguments, got " + arguments.size());
        return new XwPlusB<>(arguments.get(0), arguments.get(1), arguments.get(2), dimension);
    }

    @Override
    public PrimitiveTensorFunction toPrimitive() {
        TensorFunction primitiveX = x.toPrimitive();
        TensorFunction primitiveW = w.toPrimitive();
        TensorFunction primitiveB = b.toPrimitive();
        return new Join<>(new Reduce<>(new Join<>(primitiveX, primitiveW, ScalarFunctions.multiply()),
                                       Reduce.Aggregator.sum,
                                       dimension),
                          primitiveB,
                          ScalarFunctions.add());
    }

    @Override
    public String toString(ToStringContext context) {
        return "xw_plus_b(" + x.toString(context) + ", " +
               w.toString(context) + ", " +
               b.toString(context) + ", " +
               context.resolveBinding(dimension) + ")";
    }

    @Override
    public int hashCode() { return Objects.hash("xwplusb", x, w, b, dimension); }

}