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-rw-r--r--drivers/opus/mlp.c142
1 files changed, 0 insertions, 142 deletions
diff --git a/drivers/opus/mlp.c b/drivers/opus/mlp.c
deleted file mode 100644
index 125106e882..0000000000
--- a/drivers/opus/mlp.c
+++ /dev/null
@@ -1,142 +0,0 @@
-/* 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.
-*/
-#include "opus/opus_config.h"
-
-#include "opus/opus_types.h"
-#include "opus/opus_defines.h"
-
-#include <math.h>
-#include "opus/mlp.h"
-#include "opus/celt/arch.h"
-#include "opus/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 OPUS_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