| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2020 Google LLC. All Rights Reserved.
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| 4 | * Licensed under the Apache License, Version 2.0 (the "License");
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| 5 | * you may not use this file except in compliance with the License.
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| 6 | * You may obtain a copy of the License at
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| 7 | *
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| 8 | * http://www.apache.org/licenses/LICENSE-2.0
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| 9 | *
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| 10 | * Unless required by applicable law or agreed to in writing, software
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| 11 | * distributed under the License is distributed on an "AS IS" BASIS,
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| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| 13 | * See the License for the specific language governing permissions and
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| 14 | * limitations under the License.
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| 15 | * =============================================================================
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| 16 | */
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| 17 | import { ENGINE } from '../engine';
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| 18 | import { LRN } from '../kernel_names';
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| 19 | import { convertToTensor } from '../tensor_util_env';
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| 20 | import * as util from '../util';
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| 21 | import { op } from './operation';
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| 22 | import { reshape } from './reshape';
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| 23 | /**
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| 24 | * Normalizes the activation of a local neighborhood across or within
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| 25 | * channels.
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| 26 | *
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| 27 | * @param x The input tensor. The 4-D input tensor is treated as a 3-D array
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| 28 | * of 1D vectors (along the last dimension), and each vector is
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| 29 | * normalized independently.
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| 30 | * @param depthRadius The number of adjacent channels in the 1D normalization
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| 31 | * window.
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| 32 | * @param bias A constant bias term for the basis.
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| 33 | * @param alpha A scale factor, usually positive.
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| 34 | * @param beta An exponent.
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| 35 | *
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| 36 | * @doc {heading: 'Operations', subheading: 'Normalization'}
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| 37 | */
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| 38 | function localResponseNormalization_(x, depthRadius = 5, bias = 1, alpha = 1, beta = 0.5) {
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| 39 | const $x = convertToTensor(x, 'x', 'localResponseNormalization');
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| 40 | util.assert($x.rank === 4 || $x.rank === 3, () => `Error in localResponseNormalization: x must be rank 3 or 4 but got
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| 41 | rank ${$x.rank}.`);
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| 42 | util.assert(util.isInt(depthRadius), () => `Error in localResponseNormalization: depthRadius must be an ` +
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| 43 | `integer but got depthRadius ${depthRadius}.`);
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| 44 | let x4D = $x;
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| 45 | let reshapedTo4D = false;
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| 46 | if ($x.rank === 3) {
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| 47 | reshapedTo4D = true;
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| 48 | x4D = reshape($x, [1, $x.shape[0], $x.shape[1], $x.shape[2]]);
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| 49 | }
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| 50 | const inputs = { x: x4D };
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| 51 | const attrs = { depthRadius, bias, alpha, beta };
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| 52 | // tslint:disable-next-line: no-unnecessary-type-assertion
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| 53 | const res = ENGINE.runKernel(LRN, inputs, attrs);
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| 54 | if (reshapedTo4D) {
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| 55 | return reshape(res, [res.shape[1], res.shape[2], res.shape[3]]);
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| 56 | }
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| 57 | else {
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| 58 | return res;
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| 59 | }
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| 60 | }
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| 61 | export const localResponseNormalization = op({ localResponseNormalization_ });
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| 62 | //# sourceMappingURL=local_response_normalization.js.map |
| \ | No newline at end of file |