-
Notifications
You must be signed in to change notification settings - Fork 1.9k
/
ones.ts
49 lines (47 loc) · 1.73 KB
/
ones.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
/**
* @license
* Copyright 2018 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 {Tensor} from '../tensor';
import {DataType, Rank, ShapeMap} from '../types';
import {makeOnesTypedArray, sizeFromShape} from '../util';
import {assertNonNegativeIntegerDimensions} from '../util_base';
import {complex} from './complex';
import {zeros} from './zeros';
/**
* Creates a `tf.Tensor` with all elements set to 1.
*
* ```js
* tf.ones([2, 2]).print();
* ```
*
* @param shape An array of integers defining the output tensor shape.
* @param dtype The type of an element in the resulting tensor. Defaults to
* 'float'.
*
* @doc {heading: 'Tensors', subheading: 'Creation'}
*/
export function ones<R extends Rank>(
shape: ShapeMap[R], dtype: DataType = 'float32'): Tensor<R> {
assertNonNegativeIntegerDimensions(shape);
if (dtype === 'complex64') {
const real = ones(shape, 'float32');
const imag = zeros(shape, 'float32');
return complex(real, imag);
}
const values = makeOnesTypedArray(sizeFromShape(shape), dtype);
return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;
}