-
Notifications
You must be signed in to change notification settings - Fork 1.9k
/
unsorted_segment_sum.ts
62 lines (56 loc) · 2.45 KB
/
unsorted_segment_sum.ts
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
57
58
59
60
61
62
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
import {ENGINE} from '../engine';
import {UnsortedSegmentSum, UnsortedSegmentSumAttrs, UnsortedSegmentSumInputs} from '../kernel_names';
import {NamedAttrMap} from '../kernel_registry';
import {Tensor, Tensor1D} from '../tensor';
import {NamedTensorMap} from '../tensor_types';
import {convertToTensor} from '../tensor_util_env';
import {TensorLike} from '../types';
import {assert, isInt} from '../util';
import {op} from './operation';
/**
* Computes the sum along segments of a `tf.Tensor`.
*
* ```js
* const x = tf.tensor1d([1, 2, 3, 4]);
* const segmentIds = tf.tensor1d([1, 2, 0, 1], 'int32');
* const numSegments = 3;
*
* x.unsortedSegmentSum(segmentIds, numSegments).print()
* //or tf.unsortedSegmentSum(x, segmentIds, numSegments)
* ```
* @param x The `tf.Tensor` that will be summed along its segments.
* @param segmentIds A `tf.Tensor1D` whose rank is equal to the rank of `x`'s
* dimension along the `axis`. Maps each element of `x` to a segment.
* @param numSegments The number of distinct `segmentIds`.
*
* @doc {heading: 'Operations', subheading: 'Segment'}
*/
function unsortedSegmentSum_<T extends Tensor>(
x: T|TensorLike, segmentIds: Tensor1D|TensorLike, numSegments: number): T {
const $x = convertToTensor(x, 'x', 'unsortedSegmentSum');
const $segmentIds =
convertToTensor(segmentIds, 'segmentIds', 'unsortedSegmentSum', 'int32');
assert(isInt(numSegments), () => 'numSegments must be of dtype int');
const inputs: UnsortedSegmentSumInputs = {x: $x, segmentIds: $segmentIds};
const attrs: UnsortedSegmentSumAttrs = {numSegments};
return ENGINE.runKernel(
UnsortedSegmentSum, inputs as unknown as NamedTensorMap,
attrs as unknown as NamedAttrMap);
}
export const unsortedSegmentSum = /* @__PURE__ */ op({unsortedSegmentSum_});