blob: e2b39a2048d4f40f0ad3841289afe8c9d4ed2ac1 (
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
|
// Copyright 2017 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.tensor.functions;
import com.yahoo.tensor.TensorType;
import java.util.Collections;
import java.util.List;
import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.Stream;
/**
* A tensor generator which returns a tensor of any dimension filled with the sum of the tensor
* indexes of each position.
*
* @author bratseth
*/
public class Range extends CompositeTensorFunction {
private final TensorType type;
private final Function<List<Integer>, Double> rangeFunction;
public Range(TensorType type) {
this.type = type;
this.rangeFunction = ScalarFunctions.sum(dimensionNames().collect(Collectors.toList()));
}
@Override
public List<TensorFunction> functionArguments() { return Collections.emptyList(); }
@Override
public TensorFunction replaceArguments(List<TensorFunction> arguments) {
if ( arguments.size() != 0)
throw new IllegalArgumentException("Range must have 0 arguments, got " + arguments.size());
return this;
}
@Override
public PrimitiveTensorFunction toPrimitive() {
return new Generate(type, rangeFunction);
}
@Override
public String toString(ToStringContext context) {
return "range(" + dimensionNames().collect(Collectors.joining(",")) + ")" + rangeFunction;
}
private Stream<String> dimensionNames() {
return type.dimensions().stream().map(TensorType.Dimension::toString);
}
}
|