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 { ENGINE } from '../engine';
import { LRN } from '../kernel_names';
import { convertToTensor } from '../tensor_util_env';
import * as util from '../util';
import { op } from './operation';
import { reshape } from './reshape';
/**
 * Normalizes the activation of a local neighborhood across or within
 * channels.
 *
 * @param x The input tensor. The 4-D input tensor is treated as a 3-D array
 *     of 1D vectors (along the last dimension), and each vector is
 *     normalized independently.
 * @param depthRadius The number of adjacent channels in the 1D normalization
 *     window.
 * @param bias A constant bias term for the basis.
 * @param alpha A scale factor, usually positive.
 * @param beta An exponent.
 *
 * @doc {heading: 'Operations', subheading: 'Normalization'}
 */
function localResponseNormalization_(x, depthRadius = 5, bias = 1, alpha = 1, beta = 0.5) {
    const $x = convertToTensor(x, 'x', 'localResponseNormalization');
    util.assert($x.rank === 4 || $x.rank === 3, () => `Error in localResponseNormalization: x must be rank 3 or 4 but got
               rank ${$x.rank}.`);
    util.assert(util.isInt(depthRadius), () => `Error in localResponseNormalization: depthRadius must be an ` +
        `integer but got depthRadius ${depthRadius}.`);
    let x4D = $x;
    let reshapedTo4D = false;
    if ($x.rank === 3) {
        reshapedTo4D = true;
        x4D = reshape($x, [1, $x.shape[0], $x.shape[1], $x.shape[2]]);
    }
    const inputs = { x: x4D };
    const attrs = { depthRadius, bias, alpha, beta };
    // tslint:disable-next-line: no-unnecessary-type-assertion
    const res = ENGINE.runKernel(LRN, inputs, attrs);
    if (reshapedTo4D) {
        return reshape(res, [res.shape[1], res.shape[2], res.shape[3]]);
    }
    else {
        return res;
    }
}
export const localResponseNormalization = /* @__PURE__ */ op({ localResponseNormalization_ });
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