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 { backend_util, kernel_impls, NonMaxSuppressionV4 } from '@tensorflow/tfjs-core';
const nonMaxSuppressionV4Impl = kernel_impls.nonMaxSuppressionV4Impl;
export function nonMaxSuppressionV4(args) {
    backend_util.warn('tf.nonMaxSuppression() in webgl locks the UI thread. ' +
        'Call tf.nonMaxSuppressionAsync() instead');
    const { inputs, backend, attrs } = args;
    const { boxes, scores } = inputs;
    const { maxOutputSize, iouThreshold, scoreThreshold, padToMaxOutputSize } = attrs;
    const boxesVals = backend.readSync(boxes.dataId);
    const scoresVals = backend.readSync(scores.dataId);
    const { selectedIndices, validOutputs } = nonMaxSuppressionV4Impl(boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold, padToMaxOutputSize);
    return [
        backend.makeTensorInfo([selectedIndices.length], 'int32', new Int32Array(selectedIndices)),
        backend.makeTensorInfo([], 'int32', new Int32Array([validOutputs]))
    ];
}
export const nonMaxSuppressionV4Config = {
    kernelName: NonMaxSuppressionV4,
    backendName: 'webgl',
    kernelFunc: nonMaxSuppressionV4
};
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