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-rw-r--r--media/libopus/src/mlp.c145
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+/* Copyright (c) 2008-2011 Octasic Inc.
+ Written by Jean-Marc Valin */
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION OR
+ CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifdef HAVE_CONFIG_H
+#include "config.h"
+#endif
+
+#include "opus_types.h"
+#include "opus_defines.h"
+
+#include <math.h>
+#include "mlp.h"
+#include "arch.h"
+#include "tansig_table.h"
+#define MAX_NEURONS 100
+
+#if 0
+static OPUS_INLINE opus_val16 tansig_approx(opus_val32 _x) /* Q19 */
+{
+ int i;
+ opus_val16 xx; /* Q11 */
+ /*double x, y;*/
+ opus_val16 dy, yy; /* Q14 */
+ /*x = 1.9073e-06*_x;*/
+ if (_x>=QCONST32(8,19))
+ return QCONST32(1.,14);
+ if (_x<=-QCONST32(8,19))
+ return -QCONST32(1.,14);
+ xx = EXTRACT16(SHR32(_x, 8));
+ /*i = lrint(25*x);*/
+ i = SHR32(ADD32(1024,MULT16_16(25, xx)),11);
+ /*x -= .04*i;*/
+ xx -= EXTRACT16(SHR32(MULT16_16(20972,i),8));
+ /*x = xx*(1./2048);*/
+ /*y = tansig_table[250+i];*/
+ yy = tansig_table[250+i];
+ /*y = yy*(1./16384);*/
+ dy = 16384-MULT16_16_Q14(yy,yy);
+ yy = yy + MULT16_16_Q14(MULT16_16_Q11(xx,dy),(16384 - MULT16_16_Q11(yy,xx)));
+ return yy;
+}
+#else
+/*extern const float tansig_table[501];*/
+static OPUS_INLINE float tansig_approx(float x)
+{
+ int i;
+ float y, dy;
+ float sign=1;
+ /* Tests are reversed to catch NaNs */
+ if (!(x<8))
+ return 1;
+ if (!(x>-8))
+ return -1;
+#ifndef FIXED_POINT
+ /* Another check in case of -ffast-math */
+ if (celt_isnan(x))
+ return 0;
+#endif
+ if (x<0)
+ {
+ x=-x;
+ sign=-1;
+ }
+ i = (int)floor(.5f+25*x);
+ x -= .04f*i;
+ y = tansig_table[i];
+ dy = 1-y*y;
+ y = y + x*dy*(1 - y*x);
+ return sign*y;
+}
+#endif
+
+#if 0
+void mlp_process(const MLP *m, const opus_val16 *in, opus_val16 *out)
+{
+ int j;
+ opus_val16 hidden[MAX_NEURONS];
+ const opus_val16 *W = m->weights;
+ /* Copy to tmp_in */
+ for (j=0;j<m->topo[1];j++)
+ {
+ int k;
+ opus_val32 sum = SHL32(EXTEND32(*W++),8);
+ for (k=0;k<m->topo[0];k++)
+ sum = MAC16_16(sum, in[k],*W++);
+ hidden[j] = tansig_approx(sum);
+ }
+ for (j=0;j<m->topo[2];j++)
+ {
+ int k;
+ opus_val32 sum = SHL32(EXTEND32(*W++),14);
+ for (k=0;k<m->topo[1];k++)
+ sum = MAC16_16(sum, hidden[k], *W++);
+ out[j] = tansig_approx(EXTRACT16(PSHR32(sum,17)));
+ }
+}
+#else
+void mlp_process(const MLP *m, const float *in, float *out)
+{
+ int j;
+ float hidden[MAX_NEURONS];
+ const float *W = m->weights;
+ /* Copy to tmp_in */
+ for (j=0;j<m->topo[1];j++)
+ {
+ int k;
+ float sum = *W++;
+ for (k=0;k<m->topo[0];k++)
+ sum = sum + in[k]**W++;
+ hidden[j] = tansig_approx(sum);
+ }
+ for (j=0;j<m->topo[2];j++)
+ {
+ int k;
+ float sum = *W++;
+ for (k=0;k<m->topo[1];k++)
+ sum = sum + hidden[k]**W++;
+ out[j] = tansig_approx(sum);
+ }
+}
+#endif