/**
 * @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 { env, LRN } from '@tensorflow/tfjs-core';
import { LRNProgram } from '../lrn_gpu';
import { LRNPackedProgram } from '../lrn_packed_gpu';
export const lrn = (args) => {
    const { inputs, backend, attrs } = args;
    const { x } = inputs;
    const { depthRadius, bias, alpha, beta } = attrs;
    const program = env().getBool('WEBGL_PACK_NORMALIZATION') ?
        new LRNPackedProgram(x.shape, depthRadius, bias, alpha, beta) :
        new LRNProgram(x.shape, depthRadius, bias, alpha, beta);
    return backend.runWebGLProgram(program, [x], x.dtype);
};
// tslint:disable-next-line: variable-name
export const LRNConfig = {
    kernelName: LRN,
    backendName: 'webgl',
    kernelFunc: lrn
};
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