gx

chenyc

2025-02-12 ea42ff3ebee1eeb3fb29423aa848a249441db81c

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/**
 * @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 { Unpack } from '@tensorflow/tfjs-core';
import { reshape } from './Reshape';
import { slice } from './Slice';
export function unpack(args) {
    const { inputs, backend, attrs } = args;
    const { value } = inputs;
    let { axis } = attrs;
    if (axis < 0) {
        axis += value.shape.length;
    }
    const x = value;
    const xRank = x.shape.length;
    const num = value.shape[axis];
    const outShape = new Array(xRank - 1);
    let outIndex = 0;
    for (let i = 0; i < xRank; i++) {
        if (i !== axis) {
            outShape[outIndex++] = x.shape[i];
        }
    }
    const toDispose = [];
    const begin = new Array(xRank).fill(0);
    const size = x.shape.slice();
    size[axis] = 1;
    const res = new Array(num);
    for (let i = 0; i < res.length; i++) {
        begin[axis] = i;
        const sliced = slice({ inputs: { x }, backend, attrs: { begin, size } });
        const reshaped = reshape({ inputs: { x: sliced }, backend, attrs: { shape: outShape } });
        res[i] = reshaped;
        toDispose.push(sliced);
    }
    toDispose.forEach(t => backend.disposeIntermediateTensorInfo(t));
    return res;
}
export const unpackConfig = {
    kernelName: Unpack,
    backendName: 'webgl',
    kernelFunc: unpack
};
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