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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 { Elu } from '../kernel_names';
19import { convertToTensor } from '../tensor_util_env';
20import { op } from './operation';
21/**
22 * Computes exponential linear element-wise: `x > 0 ? e ^ x - 1 : 0`.
23 *
24 * ```js
25 * const x = tf.tensor1d([-1, 1, -3, 2]);
26 *
27 * x.elu().print(); // or tf.elu(x)
28 * ```
29 * @param x The input tensor.
30 *
31 * @doc {heading: 'Operations', subheading: 'Basic math'}
32 */
33function elu_(x) {
34 const $x = convertToTensor(x, 'x', 'elu');
35 const inputs = { x: $x };
36 return ENGINE.runKernel(Elu, inputs);
37}
38export const elu = op({ elu_ });
39//# sourceMappingURL=elu.js.map
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