weston/tests/matrix-test.c
Pekka Paalanen d1f0ab6343 compositor: simplify the matrix inversion API
The compositor will likely do an order of magnitude less matrix
inversions than point transformations with an inverse, hence we do not
really need the optimised path for single-shot invert-and-transform.

Expose only the computing of the explicit inverse matrix in the API.

However, the matrix inversion tests need access to the internal
functions. Designate a unit test build by #defining UNIT_TEST, and
export the internal functions in that case.

Signed-off-by: Pekka Paalanen <ppaalanen@gmail.com>
2012-01-27 10:44:22 +02:00

423 lines
8.9 KiB
C

/*
* Copyright © 2012 Collabora, Ltd.
*
* Permission to use, copy, modify, distribute, and sell this software and
* its documentation for any purpose is hereby granted without fee, provided
* that the above copyright notice appear in all copies and that both that
* copyright notice and this permission notice appear in supporting
* documentation, and that the name of the copyright holders not be used in
* advertising or publicity pertaining to distribution of the software
* without specific, written prior permission. The copyright holders make
* no representations about the suitability of this software for any
* purpose. It is provided "as is" without express or implied warranty.
*
* THE COPYRIGHT HOLDERS DISCLAIM ALL WARRANTIES WITH REGARD TO THIS
* SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
* FITNESS, IN NO EVENT SHALL THE COPYRIGHT HOLDERS BE LIABLE FOR ANY
* SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER
* RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF
* CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN
* CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
*/
#include <stdio.h>
#include <stdlib.h>
#include <GLES2/gl2.h>
#include <math.h>
#include <unistd.h>
#include <signal.h>
#include <time.h>
#include "matrix.h"
struct inverse_matrix {
double LU[16]; /* column-major */
unsigned perm[4]; /* permutation */
};
static struct timespec begin_time;
static void
reset_timer(void)
{
clock_gettime(CLOCK_MONOTONIC, &begin_time);
}
static double
read_timer(void)
{
struct timespec t;
clock_gettime(CLOCK_MONOTONIC, &t);
return (double)(t.tv_sec - begin_time.tv_sec) +
1e-9 * (t.tv_nsec - begin_time.tv_nsec);
}
static double
det3x3(const GLfloat *c0, const GLfloat *c1, const GLfloat *c2)
{
return (double)
c0[0] * c1[1] * c2[2] +
c1[0] * c2[1] * c0[2] +
c2[0] * c0[1] * c1[2] -
c0[2] * c1[1] * c2[0] -
c1[2] * c2[1] * c0[0] -
c2[2] * c0[1] * c1[0];
}
static double
determinant(const struct weston_matrix *m)
{
double det = 0;
#if 1
/* develop on last row */
det -= m->d[3 + 0 * 4] * det3x3(&m->d[4], &m->d[8], &m->d[12]);
det += m->d[3 + 1 * 4] * det3x3(&m->d[0], &m->d[8], &m->d[12]);
det -= m->d[3 + 2 * 4] * det3x3(&m->d[0], &m->d[4], &m->d[12]);
det += m->d[3 + 3 * 4] * det3x3(&m->d[0], &m->d[4], &m->d[8]);
#else
/* develop on first row */
det += m->d[0 + 0 * 4] * det3x3(&m->d[5], &m->d[9], &m->d[13]);
det -= m->d[0 + 1 * 4] * det3x3(&m->d[1], &m->d[9], &m->d[13]);
det += m->d[0 + 2 * 4] * det3x3(&m->d[1], &m->d[5], &m->d[13]);
det -= m->d[0 + 3 * 4] * det3x3(&m->d[1], &m->d[5], &m->d[9]);
#endif
return det;
}
static void
print_permutation_matrix(const struct inverse_matrix *m)
{
const unsigned *p = m->perm;
const char *row[4] = {
"1 0 0 0\n",
"0 1 0 0\n",
"0 0 1 0\n",
"0 0 0 1\n"
};
printf(" P =\n%s%s%s%s", row[p[0]], row[p[1]], row[p[2]], row[p[3]]);
}
static void
print_LU_decomposition(const struct inverse_matrix *m)
{
unsigned r, c;
printf(" L "
" U\n");
for (r = 0; r < 4; ++r) {
double v;
for (c = 0; c < 4; ++c) {
if (c < r)
v = m->LU[r + c * 4];
else if (c == r)
v = 1.0;
else
v = 0.0;
printf(" %12.6f", v);
}
printf(" | ");
for (c = 0; c < 4; ++c) {
if (c >= r)
v = m->LU[r + c * 4];
else
v = 0.0;
printf(" %12.6f", v);
}
printf("\n");
}
}
static void
print_inverse_data_matrix(const struct inverse_matrix *m)
{
unsigned r, c;
for (r = 0; r < 4; ++r) {
for (c = 0; c < 4; ++c)
printf(" %12.6f", m->LU[r + c * 4]);
printf("\n");
}
printf("permutation: ");
for (r = 0; r < 4; ++r)
printf(" %u", m->perm[r]);
printf("\n");
}
static void
print_matrix(const struct weston_matrix *m)
{
unsigned r, c;
for (r = 0; r < 4; ++r) {
for (c = 0; c < 4; ++c)
printf(" %14.6e", m->d[r + c * 4]);
printf("\n");
}
}
static double
frand(void)
{
double r = random();
return r / (double)(RAND_MAX / 2) - 1.0f;
}
static void
randomize_matrix(struct weston_matrix *m)
{
unsigned i;
for (i = 0; i < 16; ++i)
#if 1
m->d[i] = frand() * exp(10.0 * frand());
#else
m->d[i] = frand();
#endif
}
/* Take a matrix, compute inverse, multiply together
* and subtract the identity matrix to get the error matrix.
* Return the largest absolute value from the error matrix.
*/
static double
test_inverse(struct weston_matrix *m)
{
unsigned i;
struct inverse_matrix q;
double errsup = 0.0;
if (matrix_invert(q.LU, q.perm, m) != 0)
return INFINITY;
for (i = 0; i < 4; ++i)
inverse_transform(q.LU, q.perm, &m->d[i * 4]);
m->d[0] -= 1.0f;
m->d[5] -= 1.0f;
m->d[10] -= 1.0f;
m->d[15] -= 1.0f;
for (i = 0; i < 16; ++i) {
double err = fabs(m->d[i]);
if (err > errsup)
errsup = err;
}
return errsup;
}
enum {
TEST_OK,
TEST_NOT_INVERTIBLE_OK,
TEST_FAIL,
TEST_COUNT
};
static int
test(void)
{
struct weston_matrix m;
struct weston_matrix n;
double det, errsup;
randomize_matrix(&m);
n = m;
det = determinant(&m);
errsup = test_inverse(&m);
if (errsup < 1e-6)
return TEST_OK;
if (fabs(det) < 1e-5 && isinf(errsup))
return TEST_NOT_INVERTIBLE_OK;
printf("test fail, det: %g, error sup: %g\n", det, errsup);
/* print_matrix(&n);*/
return TEST_FAIL;
}
static int running;
static void
stopme(int n)
{
running = 0;
}
static void
test_loop_precision(void)
{
int counts[TEST_COUNT] = { 0 };
printf("\nRunning a test loop for 10 seconds...\n");
running = 1;
alarm(10);
while (running) {
counts[test()]++;
}
printf("tests: %d ok, %d not invertible but ok, %d failed.\n"
"Total: %d iterations.\n",
counts[TEST_OK], counts[TEST_NOT_INVERTIBLE_OK],
counts[TEST_FAIL],
counts[TEST_OK] + counts[TEST_NOT_INVERTIBLE_OK] +
counts[TEST_FAIL]);
}
static void __attribute__((noinline))
test_loop_speed_matrixvector(void)
{
struct weston_matrix m;
struct weston_vector v = { { 0.5, 0.5, 0.5, 1.0 } };
unsigned long count = 0;
double t;
printf("\nRunning 3 s test on weston_matrix_transform()...\n");
weston_matrix_init(&m);
running = 1;
alarm(3);
reset_timer();
while (running) {
weston_matrix_transform(&m, &v);
count++;
}
t = read_timer();
printf("%lu iterations in %f seconds, avg. %.1f us/iter.\n",
count, t, 1e9 * t / count);
}
static void __attribute__((noinline))
test_loop_speed_inversetransform(void)
{
struct weston_matrix m;
struct inverse_matrix inv;
struct weston_vector v = { { 0.5, 0.5, 0.5, 1.0 } };
unsigned long count = 0;
double t;
printf("\nRunning 3 s test on inverse_transform()...\n");
weston_matrix_init(&m);
matrix_invert(inv.LU, inv.perm, &m);
running = 1;
alarm(3);
reset_timer();
while (running) {
inverse_transform(inv.LU, inv.perm, v.f);
count++;
}
t = read_timer();
printf("%lu iterations in %f seconds, avg. %.1f us/iter.\n",
count, t, 1e9 * t / count);
}
static void __attribute__((noinline))
test_loop_speed_invert(void)
{
struct weston_matrix m;
struct inverse_matrix inv;
unsigned long count = 0;
double t;
printf("\nRunning 3 s test on matrix_invert()...\n");
weston_matrix_init(&m);
running = 1;
alarm(3);
reset_timer();
while (running) {
matrix_invert(inv.LU, inv.perm, &m);
count++;
}
t = read_timer();
printf("%lu iterations in %f seconds, avg. %.1f ns/iter.\n",
count, t, 1e9 * t / count);
}
static void __attribute__((noinline))
test_loop_speed_invert_explicit(void)
{
struct weston_matrix m;
unsigned long count = 0;
double t;
printf("\nRunning 3 s test on weston_matrix_invert()...\n");
weston_matrix_init(&m);
running = 1;
alarm(3);
reset_timer();
while (running) {
weston_matrix_invert(&m, &m);
count++;
}
t = read_timer();
printf("%lu iterations in %f seconds, avg. %.1f ns/iter.\n",
count, t, 1e9 * t / count);
}
int main(void)
{
struct sigaction ding;
struct weston_matrix M;
struct inverse_matrix Q;
int ret;
double errsup;
double det;
ding.sa_handler = stopme;
sigemptyset(&ding.sa_mask);
ding.sa_flags = 0;
sigaction(SIGALRM, &ding, NULL);
srandom(13);
M.d[0] = 3.0; M.d[4] = 17.0; M.d[8] = 10.0; M.d[12] = 0.0;
M.d[1] = 2.0; M.d[5] = 4.0; M.d[9] = -2.0; M.d[13] = 0.0;
M.d[2] = 6.0; M.d[6] = 18.0; M.d[10] = -12; M.d[14] = 0.0;
M.d[3] = 0.0; M.d[7] = 0.0; M.d[11] = 0.0; M.d[15] = 1.0;
ret = matrix_invert(Q.LU, Q.perm, &M);
printf("ret = %d\n", ret);
printf("det = %g\n\n", determinant(&M));
if (ret != 0)
return 1;
print_inverse_data_matrix(&Q);
printf("P * A = L * U\n");
print_permutation_matrix(&Q);
print_LU_decomposition(&Q);
printf("a random matrix:\n");
randomize_matrix(&M);
det = determinant(&M);
print_matrix(&M);
errsup = test_inverse(&M);
printf("\nThe matrix multiplied by its inverse, error:\n");
print_matrix(&M);
printf("max abs error: %g, original determinant %g\n", errsup, det);
test_loop_precision();
test_loop_speed_matrixvector();
test_loop_speed_inversetransform();
test_loop_speed_invert();
test_loop_speed_invert_explicit();
return 0;
}