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1/**
2 * @license
3 * Copyright 2020 Google LLC. All Rights Reserved.
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 * =============================================================================
16 */
17import { buffer } from './buffer';
18import { op } from './operation';
19import { UniformRandom } from './rand_util';
20/**
21 * Creates a `tf.Tensor` with values sampled from a uniform distribution.
22 *
23 * The generated values follow a uniform distribution in the range [minval,
24 * maxval). The lower bound minval is included in the range, while the upper
25 * bound maxval is excluded.
26 *
27 * ```js
28 * tf.randomUniform([2, 2]).print();
29 * ```
30 *
31 * @param shape An array of integers defining the output tensor shape.
32 * @param minval The lower bound on the range of random values to generate.
33 * Defaults to 0.
34 * @param maxval The upper bound on the range of random values to generate.
35 * Defaults to 1.
36 * @param dtype The data type of the output tensor. Defaults to 'float32'.
37 *
38 * @doc {heading: 'Tensors', subheading: 'Random'}
39 */
40function randomUniform_(shape, minval = 0, maxval = 1, dtype = 'float32', seed) {
41 const res = buffer(shape, dtype);
42 const random = new UniformRandom(minval, maxval, null, seed);
43 for (let i = 0; i < res.values.length; i++) {
44 res.values[i] = random.nextValue();
45 }
46 return res.toTensor();
47}
48export const randomUniform = op({ randomUniform_ });
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