1 /* Copyright (c) 2008-2011 Octasic Inc.
2 Written by Jean-Marc Valin */
3 /*
4 Redistribution and use in source and binary forms, with or without
5 modification, are permitted provided that the following conditions
6 are met:
7
8 - Redistributions of source code must retain the above copyright
9 notice, this list of conditions and the following disclaimer.
10
11 - Redistributions in binary form must reproduce the above copyright
12 notice, this list of conditions and the following disclaimer in the
13 documentation and/or other materials provided with the distribution.
14
15 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
16 ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
17 LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
18 A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION OR
19 CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
20 EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
21 PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
22 PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
23 LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
24 NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
25 SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
26 */
27
28 #ifdef HAVE_CONFIG_H
29 #include "config.h"
30 #endif
31
32 #include "opus_types.h"
33 #include "opus_defines.h"
34
35 #include <math.h>
36 #include "mlp.h"
37 #include "arch.h"
38 #include "tansig_table.h"
39 #define MAX_NEURONS 100
40
41 #if 0
42 static OPUS_INLINE opus_val16 tansig_approx(opus_val32 _x) /* Q19 */
43 {
44 int i;
45 opus_val16 xx; /* Q11 */
46 /*double x, y;*/
47 opus_val16 dy, yy; /* Q14 */
48 /*x = 1.9073e-06*_x;*/
49 if (_x>=QCONST32(8,19))
50 return QCONST32(1.,14);
51 if (_x<=-QCONST32(8,19))
52 return -QCONST32(1.,14);
53 xx = EXTRACT16(SHR32(_x, 8));
54 /*i = lrint(25*x);*/
55 i = SHR32(ADD32(1024,MULT16_16(25, xx)),11);
56 /*x -= .04*i;*/
57 xx -= EXTRACT16(SHR32(MULT16_16(20972,i),8));
58 /*x = xx*(1./2048);*/
59 /*y = tansig_table[250+i];*/
60 yy = tansig_table[250+i];
61 /*y = yy*(1./16384);*/
62 dy = 16384-MULT16_16_Q14(yy,yy);
63 yy = yy + MULT16_16_Q14(MULT16_16_Q11(xx,dy),(16384 - MULT16_16_Q11(yy,xx)));
64 return yy;
65 }
66 #else
67 /*extern const float tansig_table[501];*/
tansig_approx(float x)68 static OPUS_INLINE float tansig_approx(float x)
69 {
70 int i;
71 float y, dy;
72 float sign=1;
73 /* Tests are reversed to catch NaNs */
74 if (!(x<8))
75 return 1;
76 if (!(x>-8))
77 return -1;
78 if (x<0)
79 {
80 x=-x;
81 sign=-1;
82 }
83 i = (int)floor(.5f+25*x);
84 x -= .04f*i;
85 y = tansig_table[i];
86 dy = 1-y*y;
87 y = y + x*dy*(1 - y*x);
88 return sign*y;
89 }
90 #endif
91
92 #if 0
93 void mlp_process(const MLP *m, const opus_val16 *in, opus_val16 *out)
94 {
95 int j;
96 opus_val16 hidden[MAX_NEURONS];
97 const opus_val16 *W = m->weights;
98 /* Copy to tmp_in */
99 for (j=0;j<m->topo[1];j++)
100 {
101 int k;
102 opus_val32 sum = SHL32(EXTEND32(*W++),8);
103 for (k=0;k<m->topo[0];k++)
104 sum = MAC16_16(sum, in[k],*W++);
105 hidden[j] = tansig_approx(sum);
106 }
107 for (j=0;j<m->topo[2];j++)
108 {
109 int k;
110 opus_val32 sum = SHL32(EXTEND32(*W++),14);
111 for (k=0;k<m->topo[1];k++)
112 sum = MAC16_16(sum, hidden[k], *W++);
113 out[j] = tansig_approx(EXTRACT16(PSHR32(sum,17)));
114 }
115 }
116 #else
mlp_process(const MLP * m,const float * in,float * out)117 void mlp_process(const MLP *m, const float *in, float *out)
118 {
119 int j;
120 float hidden[MAX_NEURONS];
121 const float *W = m->weights;
122 /* Copy to tmp_in */
123 for (j=0;j<m->topo[1];j++)
124 {
125 int k;
126 float sum = *W++;
127 for (k=0;k<m->topo[0];k++)
128 sum = sum + in[k]**W++;
129 hidden[j] = tansig_approx(sum);
130 }
131 for (j=0;j<m->topo[2];j++)
132 {
133 int k;
134 float sum = *W++;
135 for (k=0;k<m->topo[1];k++)
136 sum = sum + hidden[k]**W++;
137 out[j] = tansig_approx(sum);
138 }
139 }
140 #endif
141