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