@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
;
/**
* @license
* Copyright 2020 Google Inc. 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.
* =============================================================================
*/
Object.defineProperty(exports, "__esModule", { value: true });
var engine_1 = require("../engine");
var kernel_names_1 = require("../kernel_names");
var tensor_util_env_1 = require("../tensor_util_env");
var util = require("../util");
var operation_1 = require("./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 a.tile([2])
* ```
*
* ```js
* const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);
*
* a.tile([1, 2]).print(); // or a.tile([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_(x, reps) {
var parseAs = null;
var $x = tensor_util_env_1.convertToTensor(x, 'x', 'tile', parseAs);
util.assert($x.rank === reps.length, function () { return "Error in transpose: rank of input " + $x.rank + " " +
("must match length of reps " + reps + "."); });
var forward = function (backend, save) {
var res = backend.tile($x, reps);
save([$x]);
return res;
};
var inputsToSave = [$x];
var inputs = { x: $x };
var attrs = { reps: reps };
return engine_1.ENGINE.runKernelFunc(forward, inputs, null /* grad */, kernel_names_1.Tile, attrs, inputsToSave);
}
exports.tile = operation_1.op({ tile_: tile_ });
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