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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, Conv2D, env } from '@tensorflow/tfjs-core';
import { Conv2DProgram } from '../conv_gpu';
import { Conv2DPackedProgram } from '../conv_packed_gpu';
import { conv2dByMatMul, conv2dWithIm2Row } from './Conv2D_impl';
import { reshape } from './Reshape';
export function conv2d(args) {
    const { inputs, backend, attrs } = args;
    const { x, filter } = inputs;
    const { strides, pad, dataFormat, dilations, dimRoundingMode } = attrs;
    const $dataFormat = backend_util.convertConv2DDataFormat(dataFormat);
    const convInfo = backend_util.computeConv2DInfo(x.shape, filter.shape, strides, dilations, pad, dimRoundingMode, false /* depthwise */, $dataFormat);
    let out;
    if (convInfo.filterHeight === 1 && convInfo.filterWidth === 1 &&
        convInfo.dilationHeight === 1 && convInfo.dilationWidth === 1 &&
        convInfo.strideHeight === 1 && convInfo.strideWidth === 1 &&
        (convInfo.padInfo.type === 'SAME' || convInfo.padInfo.type === 'VALID')) {
        out = conv2dByMatMul({ x, filter, convInfo, backend });
    }
    else if (convInfo.strideWidth <= 2 && $dataFormat === 'channelsLast'
        && env().getBool('WEBGL_EXP_CONV')) {
        const program = new Conv2DPackedProgram(convInfo);
        const customValues = [
            [convInfo.padInfo.top, convInfo.padInfo.left],
            [convInfo.strideHeight, convInfo.strideWidth],
            [convInfo.dilationHeight, convInfo.dilationWidth],
            [convInfo.inHeight, convInfo.inWidth]
        ];
        out =
            backend.runWebGLProgram(program, [x, filter], 'float32', customValues);
    }
    else if (env().getBool('WEBGL_CONV_IM2COL')) {
        out = conv2dWithIm2Row({ x, filter, convInfo, backend });
    }
    else {
        const program = new Conv2DProgram(convInfo);
        out = backend.runWebGLProgram(program, [x, filter], 'float32');
    }
    const outReshaped = reshape({ inputs: { x: out }, backend, attrs: { shape: convInfo.outShape } });
    backend.disposeIntermediateTensorInfo(out);
    return outReshaped;
}
export const conv2DConfig = {
    kernelName: Conv2D,
    backendName: 'webgl',
    kernelFunc: conv2d,
};
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