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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @license * Copyright 2020 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. * ============================================================================= */ /// <amd-module name="@tensorflow/tfjs-core/dist/ops/tile" /> import { Tensor } from '../tensor'; import { TensorLike } from '../types'; /** * Construct a tensor by repeating it the number of times given by reps. * * This operation creates a new tensor by replicating `input` `reps` * times. The output tensor's `i`th dimension has `input.shape[i] * * reps[i]` elements, and the values of `input` are replicated * `reps[i]` times along the `i`th dimension. For example, tiling * `[a, b, c, d]` by `[2]` produces `[a, b, c, d, a, b, c, d]`. * * ```js * const a = tf.tensor1d([1, 2]); * * a.tile([2]).print(); // or tf.tile(a, [2]) * ``` * * ```js * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]); * * a.tile([1, 2]).print(); // or tf.tile(a, [1,2]) * ``` * @param x The tensor to tile. * @param reps Determines the number of replications per dimension. * * @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */ declare function tile_<T extends Tensor>(x: T | TensorLike, reps: number[]): T; export declare const tile: typeof tile_; export {};