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