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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.TensorType;
import com.yahoo.tensor.evaluation.Name;

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

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

    private final TensorFunction argument1, argument2;
    private final String dimension;

    public Matmul(TensorFunction argument1, TensorFunction argument2, String dimension) {
        this.argument1 = argument1;
        this.argument2 = argument2;
        this.dimension = dimension;
    }

    public static TensorType outputType(TensorType a, TensorType b, String dimension) {
        return Join.outputType(a, b);
    }

    @Override
    public List> arguments() { return List.of(argument1, argument2); }

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

    @Override
    public PrimitiveTensorFunction toPrimitive() {
        TensorFunction primitiveArgument1 = argument1.toPrimitive();
        TensorFunction primitiveArgument2 = argument2.toPrimitive();
        return new Reduce<>(new Join<>(primitiveArgument1, primitiveArgument2, ScalarFunctions.multiply()),
                            Reduce.Aggregator.sum,
                            dimension);
    }

    @Override
    public String toString(ToStringContext context) {
        return "matmul(" + argument1.toString(context) + ", " + argument2.toString(context) + ", " + context.resolveBinding(dimension) + ")";
    }

    @Override
    public int hashCode() { return Objects.hash("matmul", argument1, argument2, dimension); }

}




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