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Library for use in Java components of Vespa. Shared code which do
not fit anywhere else.
// 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 Argmin extends CompositeTensorFunction {
private final TensorFunction argument;
private final List dimensions;
public Argmin(TensorFunction argument) {
this(argument, List.of());
}
public Argmin(TensorFunction argument, String dimension) {
this(argument, List.of(dimension));
}
public Argmin(TensorFunction argument, List dimensions) {
Objects.requireNonNull(dimensions, "The dimensions cannot be null");
this.argument = argument;
this.dimensions = List.copyOf(dimensions);
}
@Override
public List> arguments() { return List.of(argument); }
@Override
public TensorFunction withArguments(List> arguments) {
if (arguments.size() != 1)
throw new IllegalArgumentException("Argmin must have 1 argument, got " + arguments.size());
return new Argmin<>(arguments.get(0), dimensions);
}
@Override
public PrimitiveTensorFunction toPrimitive() {
TensorFunction primitiveArgument = argument.toPrimitive();
TensorFunction reduce = new Reduce<>(primitiveArgument, Reduce.Aggregator.min, dimensions);
return new Join<>(primitiveArgument, reduce, ScalarFunctions.equal());
}
@Override
public String toString(ToStringContext context) {
return "argmin(" + argument.toString(context) + Reduce.commaSeparatedNames(dimensions, context) + ")";
}
@Override
public int hashCode() { return Objects.hash("argmin", argument, dimensions); }
}