xref: /aosp_15_r20/external/libopus/src/mlp.h (revision a58d3d2adb790c104798cd88c8a3aff4fa8b82cc)
1 /* Copyright (c) 2017 Jean-Marc Valin */
2 /*
3    Redistribution and use in source and binary forms, with or without
4    modification, are permitted provided that the following conditions
5    are met:
6 
7    - Redistributions of source code must retain the above copyright
8    notice, this list of conditions and the following disclaimer.
9 
10    - Redistributions in binary form must reproduce the above copyright
11    notice, this list of conditions and the following disclaimer in the
12    documentation and/or other materials provided with the distribution.
13 
14    THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
15    ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
16    LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
17    A PARTICULAR PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE FOUNDATION OR
18    CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
19    EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
20    PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
21    PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
22    LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
23    NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
24    SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
25 */
26 
27 #ifndef MLP_H_
28 #define MLP_H_
29 
30 #include "opus_types.h"
31 
32 #define WEIGHTS_SCALE (1.f/128)
33 
34 #define MAX_NEURONS 32
35 
36 typedef struct {
37   const opus_int8 *bias;
38   const opus_int8 *input_weights;
39   int nb_inputs;
40   int nb_neurons;
41   int sigmoid;
42 } AnalysisDenseLayer;
43 
44 typedef struct {
45   const opus_int8 *bias;
46   const opus_int8 *input_weights;
47   const opus_int8 *recurrent_weights;
48   int nb_inputs;
49   int nb_neurons;
50 } AnalysisGRULayer;
51 
52 extern const AnalysisDenseLayer layer0;
53 extern const AnalysisGRULayer layer1;
54 extern const AnalysisDenseLayer layer2;
55 
56 void analysis_compute_dense(const AnalysisDenseLayer *layer, float *output, const float *input);
57 
58 void analysis_compute_gru(const AnalysisGRULayer *gru, float *state, const float *input);
59 
60 #endif /* MLP_H_ */
61