gx

chenyc

2025-06-12 7b72ac13a83764a662159d4a49b7fffb90476ecb

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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 { Unique } from '@tensorflow/tfjs-core';
import { uniqueImplCPU } from '../kernel_utils/shared';
import { assertNotComplex } from '../webgl_util';
export function unique(args) {
    const { inputs, attrs, backend } = args;
    const { axis } = attrs;
    const { x } = inputs;
    assertNotComplex(x, 'unique');
    // For now, always forward calculation to the CPU backend.
    console.warn('WARNING: ', 'UI might be locked temporarily as data is being downloaded');
    const values = backend.readSync(x.dataId);
    const { outputValues, outputShape, indices } = uniqueImplCPU(values, axis, x.shape, x.dtype);
    return [
        backend.makeTensorInfo(outputShape, x.dtype, outputValues),
        backend.makeTensorInfo([indices.length], 'int32', indices),
    ];
}
export const uniqueConfig = {
    kernelName: Unique,
    backendName: 'webgl',
    kernelFunc: unique,
};
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