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// Copyright Yahoo. 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.DimensionRenamer;
import ai.vespa.rankingexpression.importer.OrderedTensorType;
import com.yahoo.searchlib.rankingexpression.Reference;
import com.yahoo.searchlib.rankingexpression.evaluation.DoubleValue;
import com.yahoo.searchlib.rankingexpression.rule.ConstantNode;
import com.yahoo.searchlib.rankingexpression.rule.ExpressionNode;
import com.yahoo.searchlib.rankingexpression.rule.GeneratorLambdaFunctionNode;
import com.yahoo.tensor.TensorType;
import com.yahoo.tensor.functions.Generate;
import com.yahoo.tensor.functions.ScalarFunctions;
import com.yahoo.tensor.functions.TensorFunction;
import java.util.ArrayList;
import java.util.List;
import java.util.Optional;
import java.util.Set;
import java.util.stream.Collectors;
public class Unsqueeze extends IntermediateOperation {
private final AttributeMap attributeMap;
private List<String> expandDimensions;
public Unsqueeze(String modelName, String nodeName, List<IntermediateOperation> inputs, AttributeMap attributeMap) {
super(modelName, nodeName, inputs);
this.attributeMap = attributeMap;
if (attributeMap.getList("axes").isEmpty()) {
throw new IllegalArgumentException("Unsqueeze in " + name + ": Required attribute 'axes' is missing.");
}
}
@Override
protected OrderedTensorType lazyGetType() {
if ( ! allInputTypesPresent(1)) return null;
OrderedTensorType inputType = inputs.get(0).type().get();
Set<Integer> dimensionsToInsert = attributeMap.getList("axes").get().stream().
map(d -> (int)d.asDouble()).collect(Collectors.toSet());
// handle negative dimension indexes
int rank = inputType.rank() + dimensionsToInsert.size();
dimensionsToInsert = dimensionsToInsert.stream().map(d -> d < 0 ? rank + d : d).collect(Collectors.toSet());
expandDimensions = new ArrayList<>();
OrderedTensorType.Builder typeBuilder = new OrderedTensorType.Builder(resultValueType());
int inputDimensionIndex = 0;
for (int expandedDimensionIndex = 0; expandedDimensionIndex < rank; ++expandedDimensionIndex) {
if (dimensionsToInsert.contains(expandedDimensionIndex)) {
addDimension(expandedDimensionIndex, typeBuilder);
} else {
typeBuilder.add(inputType.dimensions().get(inputDimensionIndex));
inputDimensionIndex++;
}
}
return typeBuilder.build();
}
private void addDimension(int dimensionIndex, OrderedTensorType.Builder typeBuilder) {
String name = String.format("%s_%d", vespaName(), dimensionIndex);
expandDimensions.add(name);
typeBuilder.add(TensorType.Dimension.indexed(name, 1L));
}
@Override
protected TensorFunction<Reference> lazyGetFunction() {
if ( ! allInputFunctionsPresent(1)) return null;
// multiply with a generated tensor created from the expanded dimensions
TensorType.Builder typeBuilder = new TensorType.Builder(resultValueType());
for (String name : expandDimensions) {
typeBuilder.indexed(name, 1);
}
TensorType generatedType = typeBuilder.build();
ExpressionNode generatedExpression = new ConstantNode(new DoubleValue(1));
Generate<Reference> generatedFunction = new Generate<>(generatedType,
new GeneratorLambdaFunctionNode(generatedType, generatedExpression).asLongListToDoubleOperator());
return new com.yahoo.tensor.functions.Join<>(inputs().get(0).function().get(), generatedFunction, ScalarFunctions.multiply());
}
@Override
public void addDimensionNameConstraints(DimensionRenamer renamer) {
addConstraintsFrom(type, renamer);
}
@Override
public void renameDimensions(DimensionRenamer renamer) {
super.renameDimensions(renamer);
List<String> renamedDimensions = new ArrayList<>(expandDimensions.size());
for (String name : expandDimensions) {
Optional<String> newName = renamer.dimensionNameOf(name);
if (newName.isEmpty()) {
return; // presumably, already renamed
}
renamedDimensions.add(newName.get());
}
expandDimensions = renamedDimensions;
}
@Override
public Unsqueeze withInputs(List<IntermediateOperation> inputs) {
return new Unsqueeze(modelName(), name(), inputs, attributeMap);
}
@Override
public String operationName() { return "Unsqueeze"; }
}
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