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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 { ENGINE } from '../engine';
18import { Add } from '../kernel_names';
19import { makeTypesMatch } from '../tensor_util';
20import { convertToTensor } from '../tensor_util_env';
21import { op } from './operation';
22/**
23 * Adds two `tf.Tensor`s element-wise, A + B. Supports broadcasting.
24 *
25 *
26 * ```js
27 * const a = tf.tensor1d([1, 2, 3, 4]);
28 * const b = tf.tensor1d([10, 20, 30, 40]);
29 *
30 * a.add(b).print(); // or tf.add(a, b)
31 * ```
32 *
33 * ```js
34 * // Broadcast add a with b.
35 * const a = tf.scalar(5);
36 * const b = tf.tensor1d([10, 20, 30, 40]);
37 *
38 * a.add(b).print(); // or tf.add(a, b)
39 * ```
40 * @param a The first `tf.Tensor` to add.
41 * @param b The second `tf.Tensor` to add. Must have the same type as `a`.
42 *
43 * @doc {heading: 'Operations', subheading: 'Arithmetic'}
44 */
45function add_(a, b) {
46 let $a = convertToTensor(a, 'a', 'add');
47 let $b = convertToTensor(b, 'b', 'add');
48 [$a, $b] = makeTypesMatch($a, $b);
49 const inputs = { a: $a, b: $b };
50 return ENGINE.runKernel(Add, inputs);
51}
52export const add = op({ add_ });
53//# sourceMappingURL=add.js.map
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