/**
 * @license
 * Copyright 2021 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 { StringNGrams } from '@tensorflow/tfjs-core';
import { stringNGramsImplCPU } from '../kernel_utils/shared';
export function stringNGrams(args) {
    const { inputs, backend, attrs } = args;
    const { separator, nGramWidths, leftPad, rightPad, padWidth, preserveShortSequences } = attrs;
    const { data, dataSplits } = inputs;
    const $data = backend.readSync(data.dataId);
    const $dataSplits = backend.readSync(dataSplits.dataId);
    const [nGrams, nGramsSplits] = stringNGramsImplCPU($data, $dataSplits, separator, nGramWidths, leftPad, rightPad, padWidth, preserveShortSequences);
    return [
        backend.makeTensorInfo([nGrams.length], 'string', nGrams),
        backend.makeTensorInfo(dataSplits.shape, 'int32', nGramsSplits),
    ];
}
export const stringNGramsConfig = {
    kernelName: StringNGrams,
    backendName: 'webgl',
    kernelFunc: stringNGrams,
};
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