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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 { Equal } from '../kernel_names';
19import { makeTypesMatch } from '../tensor_util';
20import { convertToTensor } from '../tensor_util_env';
21import { assertAndGetBroadcastShape } from './broadcast_util';
22import { op } from './operation';
23/**
24 * Returns the truth value of (a == b) element-wise. Supports broadcasting.
25 *
26 * ```js
27 * const a = tf.tensor1d([1, 2, 3]);
28 * const b = tf.tensor1d([2, 2, 2]);
29 *
30 * a.equal(b).print();
31 * ```
32 *
33 * @param a The first input tensor.
34 * @param b The second input tensor. Must have the same dtype as `a`.
35 *
36 * @doc {heading: 'Operations', subheading: 'Logical'}
37 */
38function equal_(a, b) {
39 let $a = convertToTensor(a, 'a', 'equal', 'string_or_numeric');
40 let $b = convertToTensor(b, 'b', 'equal', 'string_or_numeric');
41 [$a, $b] = makeTypesMatch($a, $b);
42 assertAndGetBroadcastShape($a.shape, $b.shape);
43 const inputs = { a: $a, b: $b };
44 return ENGINE.runKernel(Equal, inputs);
45}
46export const equal = op({ equal_ });
47//# sourceMappingURL=equal.js.map
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