/**

* @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.

* =============================================================================

*/

import {ENGINE} from '../engine';

import {Tile, TileAttrs, TileInputs} from '../kernel_names';

import {NamedAttrMap} from '../kernel_registry';

import {Tensor} from '../tensor';

import {NamedTensorMap} from '../tensor_types';

import {convertToTensor} from '../tensor_util_env';

import {TensorLike} from '../types';

import * as util from '../util';

import {op} from './operation';

/**

* 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'}

*/

function tile_<T extends Tensor>(x: T|TensorLike, reps: number[]): T {

}

export const tile = /* @__PURE__ */ op({tile_});