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weston/shared/matrix.c

272 lines
6.3 KiB

/*
* Copyright © 2011 Intel Corporation
* 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 <float.h>
#include <string.h>
#include <stdlib.h>
#include <math.h>
#ifdef IN_WESTON
#include <wayland-server.h>
#else
#define WL_EXPORT
#endif
#include "matrix.h"
/*
* Matrices are stored in column-major order, that is the array indices are:
* 0 4 8 12
* 1 5 9 13
* 2 6 10 14
* 3 7 11 15
*/
WL_EXPORT void
weston_matrix_init(struct weston_matrix *matrix)
{
static const struct weston_matrix identity = {
.d = { 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1 },
.type = 0,
};
memcpy(matrix, &identity, sizeof identity);
}
/* m <- n * m, that is, m is multiplied on the LEFT. */
WL_EXPORT void
weston_matrix_multiply(struct weston_matrix *m, const struct weston_matrix *n)
{
struct weston_matrix tmp;
const float *row, *column;
div_t d;
int i, j;
for (i = 0; i < 16; i++) {
tmp.d[i] = 0;
d = div(i, 4);
row = m->d + d.quot * 4;
column = n->d + d.rem;
for (j = 0; j < 4; j++)
tmp.d[i] += row[j] * column[j * 4];
}
tmp.type = m->type | n->type;
memcpy(m, &tmp, sizeof tmp);
}
WL_EXPORT void
weston_matrix_translate(struct weston_matrix *matrix, float x, float y, float z)
{
struct weston_matrix translate = {
.d = { 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, x, y, z, 1 },
.type = WESTON_MATRIX_TRANSFORM_TRANSLATE,
};
weston_matrix_multiply(matrix, &translate);
}
WL_EXPORT void
weston_matrix_scale(struct weston_matrix *matrix, float x, float y,float z)
{
struct weston_matrix scale = {
.d = { x, 0, 0, 0, 0, y, 0, 0, 0, 0, z, 0, 0, 0, 0, 1 },
.type = WESTON_MATRIX_TRANSFORM_SCALE,
};
weston_matrix_multiply(matrix, &scale);
}
WL_EXPORT void
weston_matrix_rotate_xy(struct weston_matrix *matrix, float cos, float sin)
{
struct weston_matrix translate = {
.d = { cos, sin, 0, 0, -sin, cos, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1 },
.type = WESTON_MATRIX_TRANSFORM_ROTATE,
};
weston_matrix_multiply(matrix, &translate);
}
/* v <- m * v */
WL_EXPORT void
weston_matrix_transform(struct weston_matrix *matrix, struct weston_vector *v)
{
int i, j;
struct weston_vector t;
for (i = 0; i < 4; i++) {
t.f[i] = 0;
for (j = 0; j < 4; j++)
t.f[i] += v->f[j] * matrix->d[i + j * 4];
}
*v = t;
}
static inline void
swap_rows(double *a, double *b)
{
unsigned k;
double tmp;
for (k = 0; k < 13; k += 4) {
tmp = a[k];
a[k] = b[k];
b[k] = tmp;
}
}
static inline void
swap_unsigned(unsigned *a, unsigned *b)
{
unsigned tmp;
tmp = *a;
*a = *b;
*b = tmp;
}
static inline unsigned
find_pivot(double *column, unsigned k)
{
unsigned p = k;
for (++k; k < 4; ++k)
if (fabs(column[p]) < fabs(column[k]))
p = k;
return p;
}
/*
* reference: Gene H. Golub and Charles F. van Loan. Matrix computations.
* 3rd ed. The Johns Hopkins University Press. 1996.
* LU decomposition, forward and back substitution: Chapter 3.
*/
MATRIX_TEST_EXPORT inline int
matrix_invert(double *A, unsigned *p, const struct weston_matrix *matrix)
{
unsigned i, j, k;
unsigned pivot;
double pv;
for (i = 0; i < 4; ++i)
p[i] = i;
for (i = 16; i--; )
A[i] = matrix->d[i];
/* LU decomposition with partial pivoting */
for (k = 0; k < 4; ++k) {
pivot = find_pivot(&A[k * 4], k);
if (pivot != k) {
swap_unsigned(&p[k], &p[pivot]);
swap_rows(&A[k], &A[pivot]);
}
pv = A[k * 4 + k];
if (fabs(pv) < 1e-9)
return -1; /* zero pivot, not invertible */
for (i = k + 1; i < 4; ++i) {
A[i + k * 4] /= pv;
for (j = k + 1; j < 4; ++j)
A[i + j * 4] -= A[i + k * 4] * A[k + j * 4];
}
}
return 0;
}
MATRIX_TEST_EXPORT inline void
inverse_transform(const double *LU, const unsigned *p, float *v)
{
/* Solve A * x = v, when we have P * A = L * U.
* P * A * x = P * v => L * U * x = P * v
* Let U * x = b, then L * b = P * v.
*/
double b[4];
tests: add matrix-test Add a new directory tests/ for unit test applications. This directory will be built only if --enable-tests is given to ./configure. Add matrix-test application. It excercises especially the weston_matrix_invert() and weston_matrix_inverse_transform() functions. It has one test for correctness and precision, and other tests for measuring the speed of various matrix operations. For the record, the correctness test prints: a random matrix: 1.112418e-02 2.628150e+00 8.205844e+02 -1.147526e-04 4.943677e-04 -1.117819e-04 -9.158849e-06 3.678122e-02 7.915063e-03 -3.093254e-04 -4.376583e+02 3.424706e-02 -2.504038e+02 2.481788e+03 -7.545445e+01 1.752909e-03 The matrix multiplied by its inverse, error: 0.000000e+00 -0.000000e+00 -0.000000e+00 -0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 -0.000000e+00 -0.000000e+00 0.000000e+00 -0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 max abs error: 0, original determinant 11595.2 Running a test loop for 10 seconds... test fail, det: -0.00464805, error sup: inf test fail, det: -0.0424053, error sup: 1.30787e-06 test fail, det: 5.15191, error sup: 1.15956e-06 tests: 6791767 ok, 1 not invertible but ok, 3 failed. Total: 6791771 iterations. These results are expected with the current precision thresholds in src/matrix.c and tests/matrix-test.c. The random number generator is seeded with a constant, so the random numbers should be the same on every run. Machine speed and scheduling affect how many iterations are run. Signed-off-by: Pekka Paalanen <ppaalanen@gmail.com>
13 years ago
unsigned j;
/* Forward substitution, column version, solves L * b = P * v */
/* The diagonal of L is all ones, and not explicitly stored. */
b[0] = v[p[0]];
b[1] = (double)v[p[1]] - b[0] * LU[1 + 0 * 4];
b[2] = (double)v[p[2]] - b[0] * LU[2 + 0 * 4];
b[3] = (double)v[p[3]] - b[0] * LU[3 + 0 * 4];
b[2] -= b[1] * LU[2 + 1 * 4];
b[3] -= b[1] * LU[3 + 1 * 4];
b[3] -= b[2] * LU[3 + 2 * 4];
/* backward substitution, column version, solves U * y = b */
#if 1
/* hand-unrolled, 25% faster for whole function */
b[3] /= LU[3 + 3 * 4];
b[0] -= b[3] * LU[0 + 3 * 4];
b[1] -= b[3] * LU[1 + 3 * 4];
b[2] -= b[3] * LU[2 + 3 * 4];
b[2] /= LU[2 + 2 * 4];
b[0] -= b[2] * LU[0 + 2 * 4];
b[1] -= b[2] * LU[1 + 2 * 4];
b[1] /= LU[1 + 1 * 4];
b[0] -= b[1] * LU[0 + 1 * 4];
b[0] /= LU[0 + 0 * 4];
#else
for (j = 3; j > 0; --j) {
tests: add matrix-test Add a new directory tests/ for unit test applications. This directory will be built only if --enable-tests is given to ./configure. Add matrix-test application. It excercises especially the weston_matrix_invert() and weston_matrix_inverse_transform() functions. It has one test for correctness and precision, and other tests for measuring the speed of various matrix operations. For the record, the correctness test prints: a random matrix: 1.112418e-02 2.628150e+00 8.205844e+02 -1.147526e-04 4.943677e-04 -1.117819e-04 -9.158849e-06 3.678122e-02 7.915063e-03 -3.093254e-04 -4.376583e+02 3.424706e-02 -2.504038e+02 2.481788e+03 -7.545445e+01 1.752909e-03 The matrix multiplied by its inverse, error: 0.000000e+00 -0.000000e+00 -0.000000e+00 -0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 -0.000000e+00 -0.000000e+00 0.000000e+00 -0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 max abs error: 0, original determinant 11595.2 Running a test loop for 10 seconds... test fail, det: -0.00464805, error sup: inf test fail, det: -0.0424053, error sup: 1.30787e-06 test fail, det: 5.15191, error sup: 1.15956e-06 tests: 6791767 ok, 1 not invertible but ok, 3 failed. Total: 6791771 iterations. These results are expected with the current precision thresholds in src/matrix.c and tests/matrix-test.c. The random number generator is seeded with a constant, so the random numbers should be the same on every run. Machine speed and scheduling affect how many iterations are run. Signed-off-by: Pekka Paalanen <ppaalanen@gmail.com>
13 years ago
unsigned k;
b[j] /= LU[j + j * 4];
for (k = 0; k < j; ++k)
b[k] -= b[j] * LU[k + j * 4];
}
b[0] /= LU[0 + 0 * 4];
#endif
/* the result */
for (j = 0; j < 4; ++j)
v[j] = b[j];
}
WL_EXPORT int
weston_matrix_invert(struct weston_matrix *inverse,
const struct weston_matrix *matrix)
{
double LU[16]; /* column-major */
unsigned perm[4]; /* permutation */
unsigned c;
if (matrix_invert(LU, perm, matrix) < 0)
return -1;
weston_matrix_init(inverse);
for (c = 0; c < 4; ++c)
inverse_transform(LU, perm, &inverse->d[c * 4]);
inverse->type = matrix->type;
return 0;
}