| [7b2a58c] | 1 | /* |
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| 2 | Copyright (C) 2018 Paul Brossier <piem@aubio.org> |
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| 3 | |
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| 4 | This file is part of aubio. |
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| 5 | |
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| 6 | aubio is free software: you can redistribute it and/or modify |
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| 7 | it under the terms of the GNU General Public License as published by |
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| 8 | the Free Software Foundation, either version 3 of the License, or |
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| 9 | (at your option) any later version. |
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| 10 | |
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| 11 | aubio is distributed in the hope that it will be useful, |
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| 12 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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| 13 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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| 14 | GNU General Public License for more details. |
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| 15 | |
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| 16 | You should have received a copy of the GNU General Public License |
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| 17 | along with aubio. If not, see <http://www.gnu.org/licenses/>. |
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| 18 | |
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| 19 | */ |
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| 20 | |
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| 21 | #ifndef AUBIO_BATCHNORM_H |
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| 22 | #define AUBIO_BATCHNORM_H |
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| 23 | |
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| 24 | #ifdef __cplusplus |
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| 25 | extern "C" { |
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| 26 | #endif |
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| 27 | |
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| 28 | /** \file |
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| 29 | |
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| 30 | Batch normalization layer. |
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| 31 | |
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| 32 | References |
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| 33 | ---------- |
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| 34 | |
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| 35 | Ioffe, Sergey; Szegedy, Christian. "Batch Normalization: Accelerating Deep |
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| 36 | Network Training by Reducing Internal Covariate Shift", available online |
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| 37 | at https://arxiv.org/pdf/1502.03167.pdf |
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| 38 | |
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| 39 | */ |
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| 40 | |
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| 41 | typedef struct _aubio_batchnorm_t aubio_batchnorm_t; |
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| 42 | |
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| 43 | aubio_batchnorm_t *new_aubio_batchnorm(uint_t n_outputs); |
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| 44 | |
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| 45 | void aubio_batchnorm_do(aubio_batchnorm_t *t, |
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| 46 | aubio_tensor_t *input_tensor, |
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| 47 | aubio_tensor_t *activations); |
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| 48 | |
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| 49 | void aubio_batchnorm_train(aubio_batchnorm_t *t, aubio_tensor_t *input); |
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| 50 | |
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| 51 | uint_t aubio_batchnorm_set_gamma(aubio_batchnorm_t *t, fvec_t *gamma); |
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| 52 | uint_t aubio_batchnorm_set_beta(aubio_batchnorm_t *t, fvec_t *beta); |
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| 53 | uint_t aubio_batchnorm_set_moving_mean(aubio_batchnorm_t *t, fvec_t *moving_mean); |
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| 54 | uint_t aubio_batchnorm_set_moving_variance(aubio_batchnorm_t *t, fvec_t *moving_variance); |
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| 55 | |
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| 56 | fvec_t *aubio_batchnorm_get_gamma(aubio_batchnorm_t *t); |
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| 57 | fvec_t *aubio_batchnorm_get_beta(aubio_batchnorm_t *t); |
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| 58 | fvec_t *aubio_batchnorm_get_moving_mean(aubio_batchnorm_t *t); |
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| 59 | fvec_t *aubio_batchnorm_get_moving_variance(aubio_batchnorm_t *t); |
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| 60 | |
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| 61 | uint_t aubio_batchnorm_get_output_shape(aubio_batchnorm_t *t, |
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| 62 | aubio_tensor_t *input, uint_t *shape); |
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| 63 | |
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| 64 | void del_aubio_batchnorm(aubio_batchnorm_t *t); |
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| 65 | |
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| 66 | #ifdef __cplusplus |
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| 67 | } |
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| 68 | #endif |
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| 69 | |
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| 70 | #endif /* AUBIO_BATCHNORM_H */ |
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