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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 Switch extends IntermediateOperation {
private final int port;
public Switch(String modelName, String nodeName, List<IntermediateOperation> inputs, int port) {
super(modelName, nodeName, inputs);
this.port = port;
}
@Override
protected OrderedTensorType lazyGetType() {
if (!allInputTypesPresent(2)) {
return null;
}
Optional<OrderedTensorType> predicate = inputs.get(1).type();
if (predicate.get().type().rank() != 0) {
throw new IllegalArgumentException("Switch in " + name + ": predicate must be a scalar");
}
return inputs.get(0).type().orElse(null);
}
@Override
protected TensorFunction<Reference> lazyGetFunction() {
IntermediateOperation predicateOperation = inputs().get(1);
if (!predicateOperation.getConstantValue().isPresent()) {
throw new IllegalArgumentException("Switch in " + name + ": predicate must be a constant");
}
if (port < 0 || port > 1) {
throw new IllegalArgumentException("Switch in " + name + ": choice should be boolean");
}
double predicate = predicateOperation.getConstantValue().get().asDouble();
return predicate == port ? inputs().get(0).function().get() : null;
}
@Override
public Switch withInputs(List<IntermediateOperation> inputs) {
return new Switch(modelName(), name(), inputs, port);
}
@Override
public String operationName() { return "Switch"; }
}
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