/**
 * @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 { StringSplit } from '@tensorflow/tfjs-core';
import { stringSplitImplCPU } from '../kernel_utils/shared';
export function stringSplit(args) {
    const { inputs, backend, attrs } = args;
    const { skipEmpty } = attrs;
    const { input, delimiter } = inputs;
    if (input.dtype !== 'string') {
        throw new Error('Input must be of datatype string');
    }
    if (input.shape.length !== 1) {
        throw new Error(`Input must be a vector, got shape: ${input.shape}`);
    }
    if (delimiter.shape.length !== 0) {
        throw new Error(`Delimiter must be a scalar, got shape: ${delimiter.shape}`);
    }
    const $input = backend.readSync(input.dataId);
    const $delimiter = backend.readSync(delimiter.dataId)[0];
    const [indices, values, shape] = stringSplitImplCPU($input, $delimiter, skipEmpty);
    const outputSize = values.length;
    return [
        backend.makeTensorInfo([outputSize, 2], 'int32', indices),
        backend.makeTensorInfo([outputSize], 'string', values),
        backend.makeTensorInfo([2], 'int32', new Int32Array(shape))
    ];
}
export const stringSplitConfig = {
    kernelName: StringSplit,
    backendName: 'webgl',
    kernelFunc: stringSplit,
};
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