/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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/// <amd-module name="@tensorflow/tfjs-core/dist/ops/prelu" />
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import { Tensor } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Computes leaky rectified linear element-wise with parametric alphas.
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*
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* `x < 0 ? alpha * x : f(x) = x`
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*
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* ```js
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* const x = tf.tensor1d([-1, 2, -3, 4]);
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* const alpha = tf.scalar(0.1);
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*
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* x.prelu(alpha).print(); // or tf.prelu(x, alpha)
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* ```
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* @param x The input tensor.
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* @param alpha Scaling factor for negative values.
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*
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* @doc {heading: 'Operations', subheading: 'Basic math'}
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*/
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declare function prelu_<T extends Tensor>(x: T | TensorLike, alpha: T | TensorLike): T;
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export declare const prelu: typeof prelu_;
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export {};
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