WebSVN - shark - Rev 134 - /shark/trunk/ports/mesa/src/math/m_norm

/* $Id: m_norm_debug.c,v 1.1 2003-04-24 13:37:47 giacomo Exp $ */

/*
* Mesa 3-D graphics library
* Version: 4.1
*
* Copyright (C) 1999-2002 Brian Paul All Rights Reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included
* in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
* OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
* BRIAN PAUL BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN
* AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
* CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*
* Authors:
* Gareth Hughes
*/

#include "glheader.h"
#include "context.h"
#include "macros.h"
#include "imports.h"
#include "mmath.h"

#include "m_matrix.h"
#include "m_xform.h"

#include "m_debug.h"
#include "m_debug_util.h"

#ifdef DEBUG /* This code only used for debugging */

static int m_norm_identity[16] = {
ONE, NIL, NIL, NIL,
NIL, ONE, NIL, NIL,
NIL, NIL, ONE, NIL,
NIL, NIL, NIL, NIL
};
static int m_norm_general[16] = {
VAR, VAR, VAR, NIL,
VAR, VAR, VAR, NIL,
VAR, VAR, VAR, NIL,
NIL, NIL, NIL, NIL
};
static int m_norm_no_rot[16] = {
VAR, NIL, NIL, NIL,
NIL, VAR, NIL, NIL,
NIL, NIL, VAR, NIL,
NIL, NIL, NIL, NIL
};
static int *norm_templates[8] = {
m_norm_no_rot,
m_norm_no_rot,
m_norm_no_rot,
m_norm_general,
m_norm_general,
m_norm_general,
m_norm_identity,
m_norm_identity
};
static int norm_types[8] = {
NORM_TRANSFORM_NO_ROT,
NORM_TRANSFORM_NO_ROT | NORM_RESCALE,
NORM_TRANSFORM_NO_ROT | NORM_NORMALIZE,
NORM_TRANSFORM,
NORM_TRANSFORM | NORM_RESCALE,
NORM_TRANSFORM | NORM_NORMALIZE,
NORM_RESCALE,
NORM_NORMALIZE
};
static int norm_scale_types[8] = { /* rescale factor */
NIL, /* NIL disables rescaling */
VAR,
NIL,
NIL,
VAR,
NIL,
VAR,
NIL
};
static int norm_normalize_types[8] = { /* normalizing ?? (no = 0) */
0,
0,
1,
0,
0,
1,
0,
1
};
static char *norm_strings[8] = {
"NORM_TRANSFORM_NO_ROT",
"NORM_TRANSFORM_NO_ROT | NORM_RESCALE",
"NORM_TRANSFORM_NO_ROT | NORM_NORMALIZE",
"NORM_TRANSFORM",
"NORM_TRANSFORM | NORM_RESCALE",
"NORM_TRANSFORM | NORM_NORMALIZE",
"NORM_RESCALE",
"NORM_NORMALIZE"
};

/* =============================================================
* Reference transformations
*/

static void ref_norm_transform_rescale( const GLmatrix *mat,
GLfloat scale,
const GLvector4f *in,
const GLfloat *lengths,
GLvector4f *dest )
{
GLuint i;
const GLfloat *s = in->start;
const GLfloat *m = mat->inv;
GLfloat (*out)[4] = (GLfloat (*)[4]) dest->start;

(void) lengths;

for ( i = 0 ; i < in->count ; i++ ) {
GLfloat t[3];

TRANSFORM_NORMAL( t, s, m );
SCALE_SCALAR_3V( out[i], scale, t );

s = (GLfloat *)((char *)s + in->stride);
}
}

static void ref_norm_transform_normalize( const GLmatrix *mat,
GLfloat scale,
const GLvector4f *in,
const GLfloat *lengths,
GLvector4f *dest )
{
GLuint i;
const GLfloat *s = in->start;
const GLfloat *m = mat->inv;
GLfloat (*out)[4] = (GLfloat (*)[4]) dest->start;

for ( i = 0 ; i < in->count ; i++ ) {
GLfloat t[3];

TRANSFORM_NORMAL( t, s, m );

if ( !lengths ) {
GLfloat len = LEN_SQUARED_3FV( t );
if ( len > 1e-20 ) {
/* Hmmm, don't know how we could test the precalculated
* length case...
*/
scale = 1.0 / sqrt( len );
SCALE_SCALAR_3V( out[i], scale, t );
} else {
out[i][0] = out[i][1] = out[i][2] = 0;
}
} else {
scale = lengths[i];;
SCALE_SCALAR_3V( out[i], scale, t );
}

s = (GLfloat *)((char *)s + in->stride);
}
}

/* =============================================================
* Normal transformation tests
*/

static void init_matrix( GLfloat *m )
{
m[0] = 63.0; m[4] = 43.0; m[ 8] = 29.0; m[12] = 43.0;
m[1] = 55.0; m[5] = 17.0; m[ 9] = 31.0; m[13] = 7.0;
m[2] = 44.0; m[6] = 9.0; m[10] = 7.0; m[14] = 3.0;
m[3] = 11.0; m[7] = 23.0; m[11] = 91.0; m[15] = 9.0;
}

static int test_norm_function( normal_func func, int mtype, long *cycles )
{
GLvector4f source[1], dest[1], dest2[1], ref[1], ref2[1];
GLmatrix mat[1];
GLfloat s[TEST_COUNT][5], d[TEST_COUNT][4], r[TEST_COUNT][4];
GLfloat d2[TEST_COUNT][4], r2[TEST_COUNT][4], length[TEST_COUNT];
GLfloat scale;
GLfloat *m;
int i, j;
#ifdef RUN_DEBUG_BENCHMARK
int cycle_i; /* the counter for the benchmarks we run */
#endif

(void) cycles;

mat->m = (GLfloat *) ALIGN_MALLOC( 16 * sizeof(GLfloat), 16 );
mat->inv = m = mat->m;

init_matrix( m );

scale = 1.0F + rnd () * norm_scale_types[mtype];

for ( i = 0 ; i < 4 ; i++ ) {
for ( j = 0 ; j < 4 ; j++ ) {
switch ( norm_templates[mtype][i * 4 + j] ) {
case NIL:
m[j * 4 + i] = 0.0;
break;
case ONE:
m[j * 4 + i] = 1.0;
break;
case NEG:
m[j * 4 + i] = -1.0;
break;
case VAR:
break;
default:
abort();
}
}
}

for ( i = 0 ; i < TEST_COUNT ; i++ ) {
ASSIGN_3V( d[i], 0.0, 0.0, 0.0 );
ASSIGN_3V( s[i], 0.0, 0.0, 0.0 );
ASSIGN_3V( d2[i], 0.0, 0.0, 0.0 );
for ( j = 0 ; j < 3 ; j++ )
s[i][j] = rnd();
length[i] = 1 / sqrt( LEN_SQUARED_3FV( s[i] ) );
}

source->data = (GLfloat(*)[4]) s;
source->start = (GLfloat *) s;
source->count = TEST_COUNT;
source->stride = sizeof(s[0]);
source->flags = 0;

dest->data = d;
dest->start = (GLfloat *) d;
dest->count = TEST_COUNT;
dest->stride = sizeof(float[4]);
dest->flags = 0;

dest2->data = d2;
dest2->start = (GLfloat *) d2;
dest2->count = TEST_COUNT;
dest2->stride = sizeof(float[4]);
dest2->flags = 0;

ref->data = r;
ref->start = (GLfloat *) r;
ref->count = TEST_COUNT;
ref->stride = sizeof(float[4]);
ref->flags = 0;

ref2->data = r2;
ref2->start = (GLfloat *) r2;
ref2->count = TEST_COUNT;
ref2->stride = sizeof(float[4]);
ref2->flags = 0;

if ( norm_normalize_types[mtype] == 0 ) {
ref_norm_transform_rescale( mat, scale, source, NULL, ref );
} else {
ref_norm_transform_normalize( mat, scale, source, NULL, ref );
ref_norm_transform_normalize( mat, scale, source, length, ref2 );
}

if ( mesa_profile ) {
BEGIN_RACE( *cycles );
func( mat, scale, source, NULL, dest );
END_RACE( *cycles );
func( mat, scale, source, length, dest2 );
} else {
func( mat, scale, source, NULL, dest );
func( mat, scale, source, length, dest2 );
}

for ( i = 0 ; i < TEST_COUNT ; i++ ) {
for ( j = 0 ; j < 3 ; j++ ) {
if ( significand_match( d[i][j], r[i][j] ) < REQUIRED_PRECISION ) {
_mesa_printf(NULL, "-----------------------------\n" );
_mesa_printf(NULL, "(i = %i, j = %i)\n", i, j );
_mesa_printf(NULL, "%f \t %f \t [ratio = %e - %i bit missed]\n",
d[i][0], r[i][0], r[i][0]/d[i][0],
MAX_PRECISION - significand_match( d[i][0], r[i][0] ) );
_mesa_printf(NULL, "%f \t %f \t [ratio = %e - %i bit missed]\n",
d[i][1], r[i][1], r[i][1]/d[i][1],
MAX_PRECISION - significand_match( d[i][1], r[i][1] ) );
_mesa_printf(NULL, "%f \t %f \t [ratio = %e - %i bit missed]\n",
d[i][2], r[i][2], r[i][2]/d[i][2],
MAX_PRECISION - significand_match( d[i][2], r[i][2] ) );
return 0;
}

if ( norm_normalize_types[mtype] != 0 ) {
if ( significand_match( d2[i][j], r2[i][j] ) < REQUIRED_PRECISION ) {
_mesa_printf(NULL, "------------------- precalculated length case ------\n" );
_mesa_printf(NULL, "(i = %i, j = %i)\n", i, j );
_mesa_printf(NULL, "%f \t %f \t [ratio = %e - %i bit missed]\n",
d2[i][0], r2[i][0], r2[i][0]/d2[i][0],
MAX_PRECISION - significand_match( d2[i][0], r2[i][0] ) );
_mesa_printf(NULL, "%f \t %f \t [ratio = %e - %i bit missed]\n",
d2[i][1], r2[i][1], r2[i][1]/d2[i][1],
MAX_PRECISION - significand_match( d2[i][1], r2[i][1] ) );
_mesa_printf(NULL, "%f \t %f \t [ratio = %e - %i bit missed]\n",
d2[i][2], r2[i][2], r2[i][2]/d2[i][2],
MAX_PRECISION - significand_match( d2[i][2], r2[i][2] ) );
return 0;
}
}
}
}

ALIGN_FREE( mat->m );
return 1;
}

void _math_test_all_normal_transform_functions( char *description )
{
int mtype;
long benchmark_tab[0xf];
static int first_time = 1;

if ( first_time ) {
first_time = 0;
mesa_profile = getenv( "MESA_PROFILE" );
}

#ifdef RUN_DEBUG_BENCHMARK
if ( mesa_profile ) {
if ( !counter_overhead ) {
INIT_COUNTER();
_mesa_printf(NULL, "counter overhead: %ld cycles\n\n", counter_overhead );
}
_mesa_printf(NULL, "normal transform results after hooking in %s functions:\n",
description );
_mesa_printf(NULL, "\n-------------------------------------------------------\n" );
}
#endif

for ( mtype = 0 ; mtype < 8 ; mtype++ ) {
normal_func func = _mesa_normal_tab[norm_types[mtype]];
long *cycles = &benchmark_tab[mtype];

if ( test_norm_function( func, mtype, cycles ) == 0 ) {
char buf[100];
_mesa_sprintf(NULL, buf, "_mesa_normal_tab[0][%s] failed test (%s)",
norm_strings[mtype], description );
_mesa_problem( NULL, buf );
}

#ifdef RUN_DEBUG_BENCHMARK
if ( mesa_profile ) {
_mesa_printf(NULL, " %li\t", benchmark_tab[mtype] );
_mesa_printf(NULL, " | [%s]\n", norm_strings[mtype] );
}
#endif
}
#ifdef RUN_DEBUG_BENCHMARK
if ( mesa_profile ) {
_mesa_printf(NULL, "\n" );
fflush( stdout );
}
#endif
}

#endif /* DEBUG */

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(root)/shark/trunk/ports/mesa/src/math/m_norm_debug.c @ 1689 - Rev 134