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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 */
17/// <amd-module name="@tensorflow/tfjs-core/dist/ops/prelu" />
18import { Tensor } from '../tensor';
19import { TensorLike } from '../types';
20/**
21 * Computes leaky rectified linear element-wise with parametric alphas.
22 *
23 * `x < 0 ? alpha * x : f(x) = x`
24 *
25 * ```js
26 * const x = tf.tensor1d([-1, 2, -3, 4]);
27 * const alpha = tf.scalar(0.1);
28 *
29 * x.prelu(alpha).print(); // or tf.prelu(x, alpha)
30 * ```
31 * @param x The input tensor.
32 * @param alpha Scaling factor for negative values.
33 *
34 * @doc {heading: 'Operations', subheading: 'Basic math'}
35 */
36declare function prelu_<T extends Tensor>(x: T | TensorLike, alpha: T | TensorLike): T;
37export declare const prelu: typeof prelu_;
38export {};