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 { OneHot, util } from '@tensorflow/tfjs-core';
import { OneHotProgram } from '../onehot_gpu';
import { reshape } from './Reshape';
export const oneHot = (args) => {
    const { inputs, backend, attrs } = args;
    const { indices } = inputs;
    const { dtype, depth, onValue, offValue } = attrs;
    const indicesSize = util.sizeFromShape(indices.shape);
    const program = new OneHotProgram(indicesSize, depth, onValue, offValue);
    const reshaped = reshape({ inputs: { x: indices }, backend, attrs: { shape: [indicesSize] } });
    const result = backend.runWebGLProgram(program, [reshaped], dtype);
    backend.disposeIntermediateTensorInfo(reshaped);
    const outShape = [...indices.shape, depth];
    const out = reshape({ inputs: { x: result }, backend, attrs: { shape: outShape } });
    backend.disposeIntermediateTensorInfo(result);
    return out;
};
export const oneHotConfig = {
    kernelName: OneHot,
    backendName: 'webgl',
    kernelFunc: oneHot
};
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