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, Dilation2D } from '@tensorflow/tfjs-core';
import { Dilation2DProgram } from '../dilation_gpu';
import { reshape } from './Reshape';
export function dilation2D(args) {
    const { inputs, backend, attrs } = args;
    const { x, filter } = inputs;
    const { strides, pad, dilations } = attrs;
    const convInfo = backend_util.computeDilation2DInfo(x.shape, filter.shape, strides, pad, 'NHWC' /* dataFormat */, dilations);
    let out;
    const program = new Dilation2DProgram(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 dilation2DConfig = {
    kernelName: Dilation2D,
    backendName: 'webgl',
    kernelFunc: dilation2D,
};
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