blob: ef51b11884a9731a97a919d5904e7aa43a11f336 (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
|
// 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.OrderedTensorType;
import com.yahoo.searchlib.rankingexpression.Reference;
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<Reference> 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"; }
}
|