/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ /// import { Tensor } from '../tensor'; import { TensorLike } from '../types'; /** * Computes step of the input `tf.Tensor` element-wise: `x > 0 ? 1 : alpha * x` * * ```js * const x = tf.tensor1d([0, 2, -1, -3]); * * x.step(.5).print(); // or tf.step(x, .5) * ``` * @param x The input tensor. * @param alpha The gradient when input is negative. * * @doc {heading: 'Operations', subheading: 'Basic math'} */ declare function step_(x: T | TensorLike, alpha?: number): T; export declare const step: typeof step_; export {};