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// Copyright 2018 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package ai.vespa.rankingexpression.importer.operations;
import ai.vespa.rankingexpression.importer.OrderedTensorType;
import ai.vespa.rankingexpression.importer.DimensionRenamer;
import com.yahoo.tensor.TensorType;
import com.yahoo.tensor.evaluation.VariableTensor;
import com.yahoo.tensor.functions.Rename;
import com.yahoo.tensor.functions.TensorFunction;
import java.util.Collections;
import java.util.List;
public class Argument extends IntermediateOperation {
private OrderedTensorType standardNamingType; // using standard naming convention: d0, d1, ...
public Argument(String modelName, String nodeName, OrderedTensorType type) {
super(modelName, nodeName, Collections.emptyList());
this.type = type.rename(vespaName() + "_");
standardNamingType = OrderedTensorType.standardType(type);
}
@Override
protected OrderedTensorType lazyGetType() {
return type;
}
@Override
protected TensorFunction lazyGetFunction() {
TensorFunction output = new VariableTensor(vespaName(), standardNamingType.type());
if (!standardNamingType.equals(type)) {
List<String> renameFrom = standardNamingType.dimensionNames();
List<String> renameTo = type.dimensionNames();
output = new Rename(output, renameFrom, renameTo);
}
return output;
}
@Override
public void addDimensionNameConstraints(DimensionRenamer renamer) {
for (TensorType.Dimension dimension : type.type().dimensions()) {
renamer.addDimension(dimension.name());
}
}
@Override
public boolean isInput() {
return true;
}
@Override
public boolean isConstant() {
return false;
}
@Override
public String toString() {
return "\t" + lazyGetType() + ":\tArgument(" + standardNamingType + ")";
}
}
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