gx

chenyc

2025-02-12 ea42ff3ebee1eeb3fb29423aa848a249441db81c

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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 { AvgPoolGrad, backend_util } from '@tensorflow/tfjs-core';
import { AvgPool2DBackpropProgram } from '../avg_pool_backprop_gpu';
import { assertNotComplex } from '../webgl_util';
export function avgPoolGrad(args) {
    const { inputs, backend, attrs } = args;
    const { dy, input } = inputs;
    const x = input;
    assertNotComplex([dy, input], 'avgPoolGrad');
    const { filterSize, strides, pad } = attrs;
    const convInfo = backend_util.computePool2DInfo(x.shape, filterSize, strides, 1 /* dilations */, pad);
    const avgPoolBackpropProgram = new AvgPool2DBackpropProgram(convInfo);
    return backend.runWebGLProgram(avgPoolBackpropProgram, [dy], x.dtype);
}
export const avgPoolGradConfig = {
    kernelName: AvgPoolGrad,
    backendName: 'webgl',
    kernelFunc: avgPoolGrad
};
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