/**
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* @license
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* Copyright 2019 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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/**
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* An implementation of the tile kernel shared between webgl and cpu for string
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* tensors only.
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*/
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import {buffer} from '../ops/array_ops';
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import {Tensor, TensorBuffer} from '../tensor';
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import {DataType, Rank} from '../types';
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export function tile<R extends Rank>(
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xBuf: TensorBuffer<R, DataType>, reps: number[]): Tensor<R> {
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const newShape: number[] = new Array(xBuf.rank);
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for (let i = 0; i < newShape.length; i++) {
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newShape[i] = xBuf.shape[i] * reps[i];
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}
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const result = buffer(newShape, xBuf.dtype);
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for (let i = 0; i < result.values.length; ++i) {
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const newLoc = result.indexToLoc(i);
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const originalLoc: number[] = new Array(xBuf.rank);
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for (let j = 0; j < originalLoc.length; j++) {
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originalLoc[j] = newLoc[j] % xBuf.shape[j];
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}
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const originalIndex = xBuf.locToIndex(originalLoc);
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result.values[i] = xBuf.values[originalIndex];
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}
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return result.toTensor() as Tensor<R>;
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}
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