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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.Collections;
import java.util.List;
import java.util.Objects;
/**
* The <i>expand</i> tensor function returns a tensor with a new dimension of
* size 1 is added, equivalent to "tensor * tensor(dim_name[1])(1)".
*
* @author lesters
*/
public class Expand<NAMETYPE extends Name> extends CompositeTensorFunction<NAMETYPE> {
private final TensorFunction<NAMETYPE> argument;
private final String dimensionName;
public Expand(TensorFunction<NAMETYPE> argument, String dimension) {
this.argument = argument;
this.dimensionName = dimension;
}
@Override
public List<TensorFunction<NAMETYPE>> arguments() { return Collections.singletonList(argument); }
@Override
public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
if (arguments.size() != 1)
throw new IllegalArgumentException("Expand must have 1 argument, got " + arguments.size());
return new Expand<>(arguments.get(0), dimensionName);
}
@Override
public PrimitiveTensorFunction<NAMETYPE> toPrimitive() {
TensorType type = new TensorType.Builder(TensorType.Value.INT8).indexed(dimensionName, 1).build();
Generate<NAMETYPE> expansion = new Generate<>(type, ScalarFunctions.constant(1.0));
return new Join<>(expansion, argument, ScalarFunctions.multiply());
}
@Override
public String toString(ToStringContext<NAMETYPE> context) {
return "expand(" + argument.toString(context) + ", " + dimensionName + ")";
}
@Override
public int hashCode() { return Objects.hash("expand", argument, dimensionName); }
}
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