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-rw-r--r--model-integration/src/main/java/ai/vespa/rankingexpression/importer/operations/Transpose.java54
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diff --git a/model-integration/src/main/java/ai/vespa/rankingexpression/importer/operations/Transpose.java b/model-integration/src/main/java/ai/vespa/rankingexpression/importer/operations/Transpose.java
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+++ b/model-integration/src/main/java/ai/vespa/rankingexpression/importer/operations/Transpose.java
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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 com.yahoo.tensor.Tensor;
+import com.yahoo.tensor.TensorType;
+import com.yahoo.tensor.functions.TensorFunction;
+
+import java.util.List;
+
+public class Transpose extends IntermediateOperation {
+
+ private final AttributeMap attributes;
+
+ public Transpose(String modelName, String nodeName, List<IntermediateOperation> inputs, AttributeMap attributes) {
+ super(modelName, nodeName, inputs);
+ this.attributes = attributes;
+ }
+
+ @Override
+ protected OrderedTensorType lazyGetType() {
+ if (!allInputTypesPresent(1)) return null;
+
+ OrderedTensorType inputType = inputs.get(0).type().get();
+
+ OrderedTensorType.Builder typeBuilder = new OrderedTensorType.Builder(resultValueType());
+ for (int i = 0; i < inputType.rank(); ++i) {
+ int inputIndex = inputType.rank() - 1 - i;
+ if (attributes.getList("perm").isPresent()) {
+ inputIndex = (int) attributes.getList("perm").get().get(i).asDouble();
+ }
+ TensorType.Dimension inputDimension = inputType.dimensions().get(inputIndex);
+ typeBuilder.add(TensorType.Dimension.indexed(inputDimension.name(), inputDimension.size().get()));
+ }
+ OrderedTensorType result = typeBuilder.build();
+ return typeBuilder.build();
+ }
+
+ @Override
+ protected TensorFunction lazyGetFunction() {
+ if (!allInputFunctionsPresent(1))
+ return null;
+ return inputs.get(0).function().orElse(null);
+ }
+
+ @Override
+ public Transpose withInputs(List<IntermediateOperation> inputs) {
+ return new Transpose(modelName(), name(), inputs, attributes);
+ }
+
+ @Override
+ public String operationName() { return "Transpose"; }
+
+}