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
55
56
|
// Copyright Yahoo. 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.evaluation.Name;
import java.util.List;
import java.util.Objects;
/**
* @author bratseth
*/
public class Argmax<NAMETYPE extends Name> extends CompositeTensorFunction<NAMETYPE> {
private final TensorFunction<NAMETYPE> argument;
private final List<String> dimensions;
public Argmax(TensorFunction<NAMETYPE> argument) {
this(argument, List.of());
}
public Argmax(TensorFunction<NAMETYPE> argument, String dimension) {
this(argument, List.of(dimension));
}
public Argmax(TensorFunction<NAMETYPE> argument, List<String> dimensions) {
Objects.requireNonNull(dimensions, "The dimensions cannot be null");
this.argument = argument;
this.dimensions = List.copyOf(dimensions);
}
@Override
public List<TensorFunction<NAMETYPE>> arguments() { return List.of(argument); }
@Override
public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
if (arguments.size() != 1)
throw new IllegalArgumentException("Argmax must have 1 argument, got " + arguments.size());
return new Argmax<>(arguments.get(0), dimensions);
}
@Override
public PrimitiveTensorFunction<NAMETYPE> toPrimitive() {
TensorFunction<NAMETYPE> primitiveArgument = argument.toPrimitive();
TensorFunction<NAMETYPE> reduce = new Reduce<>(primitiveArgument, Reduce.Aggregator.max, dimensions);
return new Join<>(primitiveArgument, reduce, ScalarFunctions.equal());
}
@Override
public String toString(ToStringContext<NAMETYPE> context) {
return "argmax(" + argument.toString(context) + Reduce.commaSeparated(dimensions) + ")";
}
@Override
public int hashCode() { return Objects.hash("argmax", argument, dimensions); }
}
|
