mirror of
https://github.com/xenia-project/FFmpeg.git
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drop LLS1, rename LLS2 to LLS
Signed-off-by: Michael Niedermayer <michaelni@gmx.at>
This commit is contained in:
parent
5e1832c29c
commit
70b8668fb5
@ -20,7 +20,7 @@
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*/
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#include "libavutil/common.h"
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#include "libavutil/lls2.h"
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#include "libavutil/lls.h"
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#define LPC_USE_DOUBLE
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#include "lpc.h"
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@ -208,7 +208,7 @@ int ff_lpc_calc_coefs(LPCContext *s,
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}
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if (lpc_type == FF_LPC_TYPE_CHOLESKY) {
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LLSModel2 m[2];
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LLSModel m[2];
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LOCAL_ALIGNED(32, double, var, [FFALIGN(MAX_LPC_ORDER+1,4)]);
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double av_uninit(weight);
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memset(var, 0, FFALIGN(MAX_LPC_ORDER+1,4)*sizeof(*var));
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@ -217,7 +217,7 @@ int ff_lpc_calc_coefs(LPCContext *s,
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m[0].coeff[max_order-1][j] = -lpc[max_order-1][j];
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for(; pass<lpc_passes; pass++){
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avpriv_init_lls2(&m[pass&1], max_order);
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avpriv_init_lls(&m[pass&1], max_order);
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weight=0;
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for(i=max_order; i<blocksize; i++){
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@ -238,7 +238,7 @@ int ff_lpc_calc_coefs(LPCContext *s,
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m[pass&1].update_lls(&m[pass&1], var);
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}
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avpriv_solve_lls2(&m[pass&1], 0.001, 0);
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avpriv_solve_lls(&m[pass&1], 0.001, 0);
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}
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for(i=0; i<max_order; i++){
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@ -102,8 +102,7 @@ OBJS = adler32.o \
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intfloat_readwrite.o \
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intmath.o \
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lfg.o \
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lls1.o \
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lls2.o \
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lls.o \
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log.o \
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log2_tab.o \
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mathematics.o \
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@ -163,8 +162,7 @@ TESTPROGS = adler32 \
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float_dsp \
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hmac \
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lfg \
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lls1 \
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lls2 \
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lls \
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log \
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md5 \
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murmur3 \
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@ -30,9 +30,9 @@
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#include "attributes.h"
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#include "version.h"
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#include "lls2.h"
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#include "lls.h"
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static void update_lls(LLSModel2 *m, double *var)
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static void update_lls(LLSModel *m, double *var)
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{
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int i, j;
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@ -43,7 +43,7 @@ static void update_lls(LLSModel2 *m, double *var)
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}
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}
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void avpriv_solve_lls2(LLSModel2 *m, double threshold, unsigned short min_order)
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void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order)
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{
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int i, j, k;
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double (*factor)[MAX_VARS_ALIGN] = (void *) &m->covariance[1][0];
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@ -100,7 +100,7 @@ void avpriv_solve_lls2(LLSModel2 *m, double threshold, unsigned short min_order)
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}
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}
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static double evaluate_lls(LLSModel2 *m, double *param, int order)
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static double evaluate_lls(LLSModel *m, double *param, int order)
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{
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int i;
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double out = 0;
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@ -111,9 +111,9 @@ static double evaluate_lls(LLSModel2 *m, double *param, int order)
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return out;
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}
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av_cold void avpriv_init_lls2(LLSModel2 *m, int indep_count)
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av_cold void avpriv_init_lls(LLSModel *m, int indep_count)
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{
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memset(m, 0, sizeof(LLSModel2));
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memset(m, 0, sizeof(LLSModel));
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m->indep_count = indep_count;
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m->update_lls = update_lls;
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m->evaluate_lls = evaluate_lls;
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@ -129,12 +129,12 @@ av_cold void avpriv_init_lls2(LLSModel2 *m, int indep_count)
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int main(void)
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{
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LLSModel2 m;
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LLSModel m;
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int i, order;
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AVLFG lfg;
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av_lfg_init(&lfg, 1);
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avpriv_init_lls2(&m, 3);
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avpriv_init_lls(&m, 3);
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for (i = 0; i < 100; i++) {
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LOCAL_ALIGNED(32, double, var, [4]);
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@ -145,7 +145,7 @@ int main(void)
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var[2] = var[1] + av_lfg_get(&lfg) / (double) UINT_MAX - 0.5;
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var[3] = var[2] + av_lfg_get(&lfg) / (double) UINT_MAX - 0.5;
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m.update_lls(&m, var);
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avpriv_solve_lls2(&m, 0.001, 0);
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avpriv_solve_lls(&m, 0.001, 0);
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for (order = 0; order < 3; order++) {
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eval = m.evaluate_lls(&m, var + 1, order);
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printf("real:%9f order:%d pred:%9f var:%f coeffs:%f %9f %9f\n",
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@ -30,12 +30,12 @@
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#define MAX_VARS 32
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#define MAX_VARS_ALIGN FFALIGN(MAX_VARS+1,4)
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//FIXME avoid direct access to LLSModel2 from outside
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//FIXME avoid direct access to LLSModel from outside
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/**
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* Linear least squares model.
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*/
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typedef struct LLSModel2 {
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typedef struct LLSModel {
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DECLARE_ALIGNED(32, double, covariance[MAX_VARS_ALIGN][MAX_VARS_ALIGN]);
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DECLARE_ALIGNED(32, double, coeff[MAX_VARS][MAX_VARS]);
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double variance[MAX_VARS];
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@ -47,18 +47,18 @@ typedef struct LLSModel2 {
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* 32-byte aligned, and any padding elements must be initialized
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* (i.e not denormal/nan).
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*/
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void (*update_lls)(struct LLSModel2 *m, double *var);
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void (*update_lls)(struct LLSModel *m, double *var);
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/**
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* Inner product of var[] and the LPC coefs.
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* @param m this context
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* @param var training samples, excluding the value to be predicted. unaligned.
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* @param order lpc order
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*/
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double (*evaluate_lls)(struct LLSModel2 *m, double *var, int order);
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} LLSModel2;
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double (*evaluate_lls)(struct LLSModel *m, double *var, int order);
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} LLSModel;
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void avpriv_init_lls2(LLSModel2 *m, int indep_count);
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void ff_init_lls_x86(LLSModel2 *m);
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void avpriv_solve_lls2(LLSModel2 *m, double threshold, unsigned short min_order);
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void avpriv_init_lls(LLSModel *m, int indep_count);
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void ff_init_lls_x86(LLSModel *m);
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void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order);
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#endif /* AVUTIL_LLS_H */
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180
libavutil/lls1.c
180
libavutil/lls1.c
@ -1,180 +0,0 @@
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/*
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* linear least squares model
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*
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* Copyright (c) 2006 Michael Niedermayer <michaelni@gmx.at>
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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/**
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* @file
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* linear least squares model
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*/
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#include <math.h>
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#include <string.h>
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#include "attributes.h"
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#include "version.h"
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#include "lls1.h"
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#if FF_API_LLS1
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av_cold void avpriv_init_lls(LLSModel *m, int indep_count)
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{
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memset(m, 0, sizeof(LLSModel));
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m->indep_count = indep_count;
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}
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void avpriv_update_lls(LLSModel *m, double *var, double decay)
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{
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int i, j;
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for (i = 0; i <= m->indep_count; i++) {
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for (j = i; j <= m->indep_count; j++) {
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m->covariance[i][j] *= decay;
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m->covariance[i][j] += var[i] * var[j];
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}
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}
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}
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void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order)
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{
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int i, j, k;
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double (*factor)[MAX_VARS + 1] = (void *) &m->covariance[1][0];
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double (*covar) [MAX_VARS + 1] = (void *) &m->covariance[1][1];
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double *covar_y = m->covariance[0];
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int count = m->indep_count;
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for (i = 0; i < count; i++) {
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for (j = i; j < count; j++) {
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double sum = covar[i][j];
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for (k = i - 1; k >= 0; k--)
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sum -= factor[i][k] * factor[j][k];
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if (i == j) {
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if (sum < threshold)
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sum = 1.0;
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factor[i][i] = sqrt(sum);
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} else {
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factor[j][i] = sum / factor[i][i];
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}
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}
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}
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for (i = 0; i < count; i++) {
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double sum = covar_y[i + 1];
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for (k = i - 1; k >= 0; k--)
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sum -= factor[i][k] * m->coeff[0][k];
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m->coeff[0][i] = sum / factor[i][i];
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}
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for (j = count - 1; j >= min_order; j--) {
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for (i = j; i >= 0; i--) {
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double sum = m->coeff[0][i];
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for (k = i + 1; k <= j; k++)
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sum -= factor[k][i] * m->coeff[j][k];
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m->coeff[j][i] = sum / factor[i][i];
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}
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m->variance[j] = covar_y[0];
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for (i = 0; i <= j; i++) {
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double sum = m->coeff[j][i] * covar[i][i] - 2 * covar_y[i + 1];
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for (k = 0; k < i; k++)
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sum += 2 * m->coeff[j][k] * covar[k][i];
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m->variance[j] += m->coeff[j][i] * sum;
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}
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}
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}
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double avpriv_evaluate_lls(LLSModel *m, double *param, int order)
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{
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int i;
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double out = 0;
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for (i = 0; i <= order; i++)
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out += param[i] * m->coeff[order][i];
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return out;
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}
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#if FF_API_LLS_PRIVATE
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av_cold void av_init_lls(LLSModel *m, int indep_count)
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{
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avpriv_init_lls(m, indep_count);
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}
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void av_update_lls(LLSModel *m, double *param, double decay)
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{
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avpriv_update_lls(m, param, decay);
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}
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void av_solve_lls(LLSModel *m, double threshold, int min_order)
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{
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avpriv_solve_lls(m, threshold, min_order);
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}
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double av_evaluate_lls(LLSModel *m, double *param, int order)
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{
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return avpriv_evaluate_lls(m, param, order);
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}
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#endif /* FF_API_LLS_PRIVATE */
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#endif /* FF_API_LLS1 */
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#ifdef TEST
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#include <stdio.h>
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#include <limits.h>
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#include "lfg.h"
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int main(void)
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{
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LLSModel m;
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int i, order;
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AVLFG lfg;
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av_lfg_init(&lfg, 1);
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avpriv_init_lls(&m, 3);
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for (i = 0; i < 100; i++) {
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double var[4];
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double eval;
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var[0] = (av_lfg_get(&lfg) / (double) UINT_MAX - 0.5) * 2;
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var[1] = var[0] + av_lfg_get(&lfg) / (double) UINT_MAX - 0.5;
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var[2] = var[1] + av_lfg_get(&lfg) / (double) UINT_MAX - 0.5;
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var[3] = var[2] + av_lfg_get(&lfg) / (double) UINT_MAX - 0.5;
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avpriv_update_lls(&m, var, 0.99);
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avpriv_solve_lls(&m, 0.001, 0);
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for (order = 0; order < 3; order++) {
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eval = avpriv_evaluate_lls(&m, var + 1, order);
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printf("real:%9f order:%d pred:%9f var:%f coeffs:%f %9f %9f\n",
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var[0], order, eval, sqrt(m.variance[order] / (i + 1)),
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m.coeff[order][0], m.coeff[order][1],
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m.coeff[order][2]);
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}
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}
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return 0;
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}
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#endif
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@ -1,54 +0,0 @@
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/*
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* linear least squares model
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*
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* Copyright (c) 2006 Michael Niedermayer <michaelni@gmx.at>
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
|
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* Lesser General Public License for more details.
|
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*
|
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* You should have received a copy of the GNU Lesser General Public
|
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* License along with FFmpeg; if not, write to the Free Software
|
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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#ifndef AVUTIL_LLS_H
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#define AVUTIL_LLS_H
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#include "version.h"
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#define MAX_VARS 32
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//FIXME avoid direct access to LLSModel from outside
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/**
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* Linear least squares model.
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*/
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typedef struct LLSModel {
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double covariance[MAX_VARS + 1][MAX_VARS + 1];
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double coeff[MAX_VARS][MAX_VARS];
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double variance[MAX_VARS];
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int indep_count;
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} LLSModel;
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void avpriv_init_lls(LLSModel *m, int indep_count);
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void avpriv_update_lls(LLSModel *m, double *param, double decay);
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void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order);
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double avpriv_evaluate_lls(LLSModel *m, double *param, int order);
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#if FF_API_LLS_PRIVATE
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void av_init_lls(LLSModel *m, int indep_count);
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void av_update_lls(LLSModel *m, double *param, double decay);
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void av_solve_lls(LLSModel *m, double threshold, int min_order);
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double av_evaluate_lls(LLSModel *m, double *param, int order);
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#endif /* FF_API_LLS_PRIVATE */
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#endif /* AVUTIL_LLS_H */
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@ -29,7 +29,7 @@ SECTION .text
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%define COVAR_STRIDE MAX_VARS_ALIGN*8
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%define COVAR(x,y) [covarq + (x)*8 + (y)*COVAR_STRIDE]
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struc LLSModel2
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struc LLSModel
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.covariance: resq MAX_VARS_ALIGN*MAX_VARS_ALIGN
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.coeff: resq MAX_VARS*MAX_VARS
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.variance: resq MAX_VARS
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@ -49,7 +49,7 @@ INIT_XMM sse2
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%define movdqa movaps
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cglobal update_lls, 2,5,8, ctx, var, i, j, covar2
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%define covarq ctxq
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mov id, [ctxq + LLSModel2.indep_count]
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mov id, [ctxq + LLSModel.indep_count]
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lea varq, [varq + iq*8]
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neg iq
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mov covar2q, covarq
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@ -129,7 +129,7 @@ cglobal update_lls, 2,5,8, ctx, var, i, j, covar2
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INIT_YMM avx
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cglobal update_lls, 3,6,8, ctx, var, count, i, j, count2
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%define covarq ctxq
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mov countd, [ctxq + LLSModel2.indep_count]
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mov countd, [ctxq + LLSModel.indep_count]
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lea count2d, [countq-2]
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xor id, id
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.loopi:
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@ -206,7 +206,7 @@ cglobal evaluate_lls, 3,4,2, ctx, var, order, i
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%define coefsq ctxq
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mov id, orderd
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imul orderd, MAX_VARS
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lea coefsq, [ctxq + LLSModel2.coeff + orderq*8]
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lea coefsq, [ctxq + LLSModel.coeff + orderq*8]
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movsd m0, [varq]
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movhpd m0, [varq + 8]
|
||||
mulpd m0, [coefsq]
|
||||
|
@ -20,14 +20,14 @@
|
||||
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
|
||||
*/
|
||||
|
||||
#include "libavutil/lls2.h"
|
||||
#include "libavutil/lls.h"
|
||||
#include "libavutil/x86/cpu.h"
|
||||
|
||||
void ff_update_lls_sse2(LLSModel2 *m, double *var);
|
||||
void ff_update_lls_avx(LLSModel2 *m, double *var);
|
||||
double ff_evaluate_lls_sse2(LLSModel2 *m, double *var, int order);
|
||||
void ff_update_lls_sse2(LLSModel *m, double *var);
|
||||
void ff_update_lls_avx(LLSModel *m, double *var);
|
||||
double ff_evaluate_lls_sse2(LLSModel *m, double *var, int order);
|
||||
|
||||
av_cold void ff_init_lls_x86(LLSModel2 *m)
|
||||
av_cold void ff_init_lls_x86(LLSModel *m)
|
||||
{
|
||||
int cpu_flags = av_get_cpu_flags();
|
||||
if (EXTERNAL_SSE2(cpu_flags)) {
|
||||
|
Loading…
Reference in New Issue
Block a user