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 { Transpose } from '@tensorflow/tfjs-core';
import { transposeImpl } from './Transpose_impl';
import { transposeImplCPU as cpuTranspose } from './Transpose_impl';
export function transpose(args) {
    const { inputs, backend, attrs } = args;
    const { x } = inputs;
    const { perm } = attrs;
    const webglBackend = backend;
    const xRank = x.shape.length;
    const newShape = new Array(xRank);
    for (let i = 0; i < newShape.length; i++) {
        newShape[i] = x.shape[perm[i]];
    }
    let out;
    if (webglBackend.shouldExecuteOnCPU([x])) {
        const xTexData = webglBackend.texData.get(x.dataId);
        const values = xTexData.values;
        const outValues = cpuTranspose(values, x.shape, x.dtype, perm, newShape);
        out = webglBackend.makeTensorInfo(newShape, x.dtype);
        const outData = webglBackend.texData.get(out.dataId);
        outData.values = outValues;
    }
    else {
        out = transposeImpl(x, perm, webglBackend);
    }
    return out;
}
export const transposeConfig = {
    kernelName: Transpose,
    backendName: 'webgl',
    kernelFunc: transpose
};
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