/**
 * @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 { backend_util } from '@tensorflow/tfjs-core';
import { SplitV, util } from '@tensorflow/tfjs-core';
import { slice } from './Slice';
export function splitV(args) {
    const { inputs, backend, attrs } = args;
    const { x } = inputs;
    const { numOrSizeSplits, axis } = attrs;
    const $axis = util.parseAxisParam(axis, x.shape)[0];
    const splitSizes = backend_util.prepareSplitSize(x, numOrSizeSplits, $axis);
    const begin = new Array(x.shape.length).fill(0);
    const size = x.shape.slice();
    return splitSizes.map(s => {
        const sliceSize = [...size];
        sliceSize[$axis] = s;
        const sliceT = slice({ inputs: { x }, backend, attrs: { begin, size: sliceSize } });
        begin[$axis] += s;
        return sliceT;
    });
}
export const splitVConfig = {
    kernelName: SplitV,
    backendName: 'cpu',
    kernelFunc: splitV
};
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