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// Copyright Vespa.ai. 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 com.yahoo.searchlib.rankingexpression.Reference;
import com.yahoo.tensor.functions.TensorFunction;
import java.util.List;
import java.util.Optional;
public class PlaceholderWithDefault extends IntermediateOperation {
public PlaceholderWithDefault(String modelName, String nodeName, List<IntermediateOperation> inputs) {
super(modelName, nodeName, inputs);
}
@Override
protected OrderedTensorType lazyGetType() {
if (!allInputTypesPresent(1)) {
return null;
}
return inputs().get(0).type().orElse(null);
}
@Override
protected TensorFunction<Reference> lazyGetFunction() {
if (!allInputFunctionsPresent(1)) {
return null;
}
// This should be a call to the function we add below, but for now
// we treat this as as identity function and just pass the constant.
return inputs.get(0).function().orElse(null);
}
@Override
public Optional<TensorFunction<Reference>> rankingExpressionFunction() {
// For now, it is much more efficient to assume we always will return
// the default value, as we can prune away large parts of the expression
// tree by having it calculated as a constant. If a case arises where
// it is important to support this, implement this.
return Optional.empty();
}
@Override
public boolean isConstant() {
return true; // not true if we add to function
}
@Override
public PlaceholderWithDefault withInputs(List<IntermediateOperation> inputs) {
return new PlaceholderWithDefault(modelName(), name(), inputs);
}
@Override
public String operationName() { return "PlaceholdeWithDefault"; }
}
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