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rect.c
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/*
FLAM3 - cosmic recursive fractal flames
Copyright (C) 1992-2009 Spotworks LLC
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
/* this file is included into flam3.c once for each buffer bit-width */
/*
* for batch
* generate de filters
* for temporal_sample_batch
* interpolate
* compute colormap
* for subbatch
* compute samples
* buckets += cmap[samples]
* accum += time_filter[temporal_sample_batch] * log[buckets] * de_filter
* image = filter(accum)
*/
/* allow this many iterations for settling into attractor */
#define FUSE_27 15
#define FUSE_28 100
#define WHITE_LEVEL 255
typedef struct {
bucket *b;
abucket *accumulate;
int width, height, oversample;
flam3_de_helper *de;
double k1,k2;
double curve;
int last_thread;
int start_row, end_row;
flam3_frame *spec;
int *aborted;
int progress_size;
} de_thread_helper;
static void de_thread(void *dth) {
de_thread_helper *dthp = (de_thread_helper *)dth;
int oversample = dthp->oversample;
int ss = (int)floor(oversample / 2.0);
int scf = !(oversample & 1);
double scfact = pow(oversample/(oversample+1.0), 2.0);
int wid=dthp->width;
int hig=dthp->height;
int ps =dthp->progress_size;
int str = (oversample-1)+dthp->start_row;
int enr = (oversample-1)+dthp->end_row;
int i,j;
time_t progress_timer=0;
struct timespec pauset;
int progress_count = 0;
int pixel_num;
pauset.tv_sec = 0;
pauset.tv_nsec = 100000000;
/* Density estimation code */
for (j = str; j < enr; j++) {
for (i = oversample-1; i < wid-(oversample-1); i++) {
int ii,jj;
double f_select=0.0;
int f_select_int,f_coef_idx;
int arr_filt_width;
bucket *b;
double *l;
double c[4],ls;
b = dthp->b + i + j*wid;
/* Don't do anything if there's no hits here */
if (b[0][4] == 0 || b[0][3] == 0)
continue;
/* Count density in ssxss area */
/* Scale if OS>1 for equal iters */
for (ii=-ss; ii<=ss; ii++) {
for (jj=-ss; jj<=ss; jj++) {
b = dthp->b + (i + ii) + (j + jj)*wid;
f_select += b[0][4]/255.0;
}
}
if (scf)
f_select *= scfact;
if (f_select > dthp->de->max_filtered_counts)
f_select_int = dthp->de->max_filter_index;
else if (f_select<=DE_THRESH)
f_select_int = (int)ceil(f_select)-1;
else
f_select_int = (int)DE_THRESH +
(int)floor(pow(f_select-DE_THRESH,dthp->curve));
/* If the filter selected below the min specified clamp it to the min */
if (f_select_int > dthp->de->max_filter_index)
f_select_int = dthp->de->max_filter_index;
/* We only have to calculate the values for ~1/8 of the square */
f_coef_idx = f_select_int*dthp->de->kernel_size;
arr_filt_width = (int)ceil(dthp->de->filter_widths[f_select_int])-1;
b = dthp->b + i + j*wid;
for (jj=0; jj<=arr_filt_width; jj++) {
for (ii=0; ii<=jj; ii++) {
/* Skip if coef is 0 */
if (dthp->de->filter_coefs[f_coef_idx]==0.0) {
f_coef_idx++;
continue;
}
c[0] = (double) b[0][0];
c[1] = (double) b[0][1];
c[2] = (double) b[0][2];
c[3] = (double) b[0][3];
ls = dthp->de->filter_coefs[f_coef_idx]*(dthp->k1 * log(1.0 + c[3] * dthp->k2))/c[3];
c[0] *= ls;
c[1] *= ls;
c[2] *= ls;
c[3] *= ls;
if (jj==0 && ii==0) {
add_c_to_accum(dthp->accumulate,i,ii,j,jj,wid,hig,c);
}
else if (ii==0) {
add_c_to_accum(dthp->accumulate,i,jj,j,0,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,-jj,j,0,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,0,j,jj,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,0,j,-jj,wid,hig,c);
} else if (jj==ii) {
add_c_to_accum(dthp->accumulate,i,ii,j,jj,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,-ii,j,jj,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,ii,j,-jj,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,-ii,j,-jj,wid,hig,c);
} else {
add_c_to_accum(dthp->accumulate,i,ii,j,jj,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,-ii,j,jj,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,ii,j,-jj,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,-ii,j,-jj,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,jj,j,ii,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,-jj,j,ii,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,jj,j,-ii,wid,hig,c);
add_c_to_accum(dthp->accumulate,i,-jj,j,-ii,wid,hig,c);
}
f_coef_idx++;
}
}
}
pixel_num = (j-str+1)*wid;
if (dthp->last_thread) {
/* Standard progress function */
if (dthp->spec->verbose && time(NULL) != progress_timer) {
progress_timer = time(NULL);
fprintf(stderr, "\rdensity estimation: %d/%d ", j-str, enr-str);
fflush(stderr);
}
}
/* Custom progress function */
if (dthp->spec->progress && pixel_num > progress_count + ps) {
progress_count = ps * floor(pixel_num/(double)ps);
if (dthp->last_thread) {
int rv = (*dthp->spec->progress)(dthp->spec->progress_parameter,
100*(j-str)/(double)(enr-str), 1, 0);
if (rv==2) { /* PAUSE */
*(dthp->aborted) = -1;
do {
#if defined(_WIN32) /* mingw or msvc */
Sleep(100);
#else
nanosleep(&pauset,NULL);
#endif
rv = (*dthp->spec->progress)(dthp->spec->progress_parameter,
100*(j-str)/(double)(enr-str), 1, 0);
} while (rv==2);
*(dthp->aborted) = 0;
}
if (rv==1) {
*(dthp->aborted) = 1;
#ifdef HAVE_LIBPTHREAD
pthread_exit((void *)0);
#else
return;
#endif
}
} else {
#ifdef HAVE_LIBPTHREAD
if (*(dthp->aborted)<0) {
do {
#if defined(_WIN32) /* mingw or msvc */
Sleep(100);
#else
nanosleep(&pauset,NULL);
#endif
} while (*(dthp->aborted)<0);
}
if (*(dthp->aborted)>0) pthread_exit((void *)0);
#else
if (*(dthp->aborted)>0) return;
#endif
}
}
}
#ifdef HAVE_LIBPTHREAD
pthread_exit((void *)0);
#endif
}
static void iter_thread(void *fth) {
double sub_batch;
int j;
flam3_thread_helper *fthp = (flam3_thread_helper *)fth;
flam3_iter_constants *ficp = fthp->fic;
struct timespec pauset;
int SBS = ficp->spec->sub_batch_size;
int fuse;
double eta = 0.0;
assert(flam3_palette_mode_linear != fthp->cp.palette_mode);
fuse = (ficp->spec->earlyclip) ? FUSE_28 : FUSE_27;
pauset.tv_sec = 0;
pauset.tv_nsec = 100000000;
if (fthp->timer_initialize) {
*(ficp->progress_timer) = 0;
memset(ficp->progress_timer_history,0,64*sizeof(time_t));
memset(ficp->progress_history,0,64*sizeof(double));
*(ficp->progress_history_mark) = 0;
}
for (sub_batch = 0; sub_batch < ficp->batch_size; sub_batch+=SBS) {
int sub_batch_size, badcount;
time_t newt = time(NULL);
/* sub_batch is double so this is sketchy */
sub_batch_size = (sub_batch + SBS > ficp->batch_size) ?
(ficp->batch_size - sub_batch) : SBS;
if (fthp->first_thread && newt != *(ficp->progress_timer)) {
double percent = 100.0 *
((((sub_batch / (double) ficp->batch_size) + ficp->temporal_sample_num)
/ ficp->ntemporal_samples) + ficp->batch_num)/ficp->nbatches;
int old_mark = 0;
int ticker;
if (ficp->spec->verbose)
fprintf(stderr, "\rchaos: %5.1f%%", percent);
*(ficp->progress_timer) = newt;
if (ficp->progress_timer_history[*(ficp->progress_history_mark)] &&
ficp->progress_history[*(ficp->progress_history_mark)] < percent)
old_mark = *(ficp->progress_history_mark);
if (percent > 0) {
eta = (100 - percent) * (*(ficp->progress_timer) - ficp->progress_timer_history[old_mark])
/ (percent - ficp->progress_history[old_mark]);
if (ficp->spec->verbose) {
ticker = (*(ficp->progress_timer)&1)?':':'.';
if (eta < 1000)
ticker = ':';
if (eta > 100)
fprintf(stderr, " ETA%c %.1f minutes", ticker, eta / 60);
else
fprintf(stderr, " ETA%c %ld seconds ", ticker, (long) ceil(eta));
fprintf(stderr, " \r");
fflush(stderr);
}
}
ficp->progress_timer_history[*(ficp->progress_history_mark)] = *(ficp->progress_timer);
ficp->progress_history[*(ficp->progress_history_mark)] = percent;
*(ficp->progress_history_mark) = (*(ficp->progress_history_mark) + 1) % 64;
}
/* Custom progress function */
if (ficp->spec->progress) {
if (fthp->first_thread) {
int rv;
/* Recalculate % done, as the other calculation only updates once per second */
double percent = 100.0 *
((((sub_batch / (double) ficp->batch_size) + ficp->temporal_sample_num)
/ ficp->ntemporal_samples) + ficp->batch_num)/ficp->nbatches;
rv = (*ficp->spec->progress)(ficp->spec->progress_parameter, percent, 0, eta);
if (rv==2) { /* PAUSE */
time_t tnow = time(NULL);
time_t tend;
int lastpt;
ficp->aborted = -1;
do {
#if defined(_WIN32) /* mingw or msvc */
Sleep(100);
#else
nanosleep(&pauset,NULL);
#endif
rv = (*ficp->spec->progress)(ficp->spec->progress_parameter, percent, 0, eta);
} while (rv==2);
/* modify the timer history to compensate for the pause */
tend = time(NULL)-tnow;
ficp->aborted = 0;
for (lastpt=0;lastpt<64;lastpt++) {
if (ficp->progress_timer_history[lastpt]) {
ficp->progress_timer_history[lastpt] += tend;
}
}
}
if (rv==1) { /* ABORT */
ficp->aborted = 1;
#ifdef HAVE_LIBPTHREAD
pthread_exit((void *)0);
#else
return;
#endif
}
} else {
if (ficp->aborted<0) {
do {
#if defined(_WIN32) /* mingw or msvc */
Sleep(100);
#else
nanosleep(&pauset,NULL);
#endif
} while (ficp->aborted==-1);
}
#ifdef HAVE_LIBPTHREAD
if (ficp->aborted>0) pthread_exit((void *)0);
#else
if (ficp->aborted>0) return;
#endif
}
}
/* Seed iterations */
fthp->iter_storage[0] = flam3_random_isaac_11(&(fthp->rc));
fthp->iter_storage[1] = flam3_random_isaac_11(&(fthp->rc));
fthp->iter_storage[2] = flam3_random_isaac_01(&(fthp->rc));
fthp->iter_storage[3] = flam3_random_isaac_01(&(fthp->rc));
/* Execute iterations */
badcount = flam3_iterate(&(fthp->cp), sub_batch_size, fuse, fthp->iter_storage, ficp->xform_distrib, &(fthp->rc));
/* Add the badcount to the counter */
double_atomic_add(&ficp->badvals, badcount);
v4d *const iter_storage = (v4d*)fthp->iter_storage;
int i = 0;
/* Pre-compute rotation and bound check constants */
const double R00 = fthp->cp.rotate != 0.0 ? ficp->rot[0][0] : 1.0;
const double R01 = fthp->cp.rotate != 0.0 ? ficp->rot[0][1] : 0.0;
const double R10 = fthp->cp.rotate != 0.0 ? ficp->rot[1][0] : 0.0;
const double R11 = fthp->cp.rotate != 0.0 ? ficp->rot[1][1] : 1.0;
const double E = fthp->cp.rot_center[0];
const double F = fthp->cp.rot_center[1];
const double C0 = -R00*E - R01*F + E;
const double C1 = -R10*E - R11*F + F;
const double p0m = ficp->ws0;
const double p0s = ficp->wb0s0 - p0m * C0;
const double p1m = ficp->hs1;
const double p1s = ficp->hb1s1 - p1m * C1;
const __m128d v_ps = _mm_set_pd(p1s, p0s);
const double b0l = p0m * (ficp->bounds[0] - C0);
const double b0h= p0m * (ficp->bounds[2] - C0);
const double b1l = p1m * (ficp->bounds[1] - C1);
const double b1h = p1m * (ficp->bounds[3] - C1);
const __m128d v_bl = _mm_set_pd(b1l, b0l);
const __m128d v_bh = _mm_set_pd(b1h, b0h);
const int width = ficp->width;
const __m128i v_wm = _mm_set_epi32(0, 0, width, 1);
if (fthp->cp.rotate != 0.0) {
/* Rotate points, Compute boundaries */
const __m128d v_R0 = _mm_set_pd(p0m * R01, p0m * R00);
const __m128d v_R1 = _mm_set_pd(p1m * R11, p1m * R10);
for (j = 0; j < sub_batch_size; j+=1) {
const double *const p = iter_storage[j];
const __m128d v_p10 = _mm_load_pd(p);
const __m128d v_pp0 = _mm_dp_pd(v_p10, v_R0, 0x31);
const __m128d v_pp1 = _mm_dp_pd(v_p10, v_R1, 0x32);
const __m128d v_pp10 = _mm_or_pd(v_pp0, v_pp1);
const __m128d v_pp10d = _mm_sub_pd(v_pp10, v_ps);
const __m128d v_pp10dr = _mm_round_pd(v_pp10d, (_MM_FROUND_TO_ZERO |_MM_FROUND_NO_EXC));
const __m128i v_pp10di = _mm_cvtpd_epi32(v_pp10dr);
const __m128i v_idxt = _mm_mullo_epi32(v_wm, v_pp10di);
const __m128i v_idx = _mm_hadd_epi32(v_idxt, v_idxt);
const int idx = _mm_cvtsi128_si32(v_idx);
const __m128i v_cl = (__m128i)_mm_cmplt_pd(v_pp10, v_bl);
const __m128i v_ch = (__m128i)_mm_cmpgt_pd(v_pp10, v_bh);
const __m128i v_c = _mm_or_si128(v_cl, v_ch);
iter_storage[i][0] = (double)idx;
iter_storage[i][2] = p[2];
iter_storage[i][3] = p[3];
i += _mm_test_all_zeros(v_c, v_c);
}
} else {
/* Compute boundaries */
const __m128d v_p10m = _mm_set_pd(p1m, p0m);
for (j = 0; j < sub_batch_size; j+=1) {
const double *const p = iter_storage[j];
const __m128d v_p10 = _mm_load_pd(p);
const __m128d v_pp10 = _mm_mul_pd(v_p10m, v_p10);
const __m128d v_pp10d = _mm_sub_pd(v_pp10, v_ps);
const __m128d v_pp10dr = _mm_round_pd(v_pp10d, (_MM_FROUND_TO_ZERO |_MM_FROUND_NO_EXC));
const __m128i v_pp10di = _mm_cvtpd_epi32(v_pp10dr);
const __m128i v_idxt = _mm_mullo_epi32(v_wm, v_pp10di);
const __m128i v_idx = _mm_hadd_epi32(v_idxt, v_idxt);
const int idx = _mm_cvtsi128_si32(v_idx);
const __m128i v_cl = (__m128i)_mm_cmplt_pd(v_pp10, v_bl);
const __m128i v_ch = (__m128i)_mm_cmpgt_pd(v_pp10, v_bh);
const __m128i v_c = _mm_or_si128(v_cl, v_ch);
iter_storage[i][0] = (double)idx;
iter_storage[i][2] = p[2];
iter_storage[i][3] = p[3];
i += _mm_test_all_zeros(v_c, v_c);
}
}
bucket *const buckets = (bucket *)fthp->buckets;
const v4d *const dmap = ficp->dmap;
/* Put them in the bucket accumulator */
#define UNROLL 32
bucket *pb[256];
uint8_t p = 0;
uint8_t q = 0;
for (j = 0; j < UNROLL ; j++) {
const double *const ppf = iter_storage[j];
const int idxpf = (int) ppf[0];
bucket *const bpf = buckets + idxpf;
__builtin_prefetch(bpf);
pb[p++] = bpf;
}
for (j = 0; j < i - UNROLL; j+=1) {
bucket *const b = pb[q++];
const double *const ppf = iter_storage[j + UNROLL];
const int idxpf = (int) ppf[0];
bucket *const bpf = buckets + idxpf;
__builtin_prefetch(bpf);
pb[p++] = bpf;
const double *const p = iter_storage[j];
const double dbl_index0 = p[2] * 256;
const double logvis = p[3];
const __m128i v_cidx32 = _mm_set1_epi32((int) (dbl_index0));
const __m128i v_cidx16 = _mm_packs_epi32(v_cidx32, v_cidx32);
const __m128i v_cidx8 = _mm_packus_epi16(v_cidx16, v_cidx16);
const int cidx = _mm_extract_epi8(v_cidx8, 0);
const __m256d v_itnerpcolor = _mm256_load_pd(dmap[cidx]);
const __m256d v_b = _mm256_load_pd(b[0]);
const __m256d v_logvis = _mm256_set1_pd(logvis);
const __m256d v_product = _mm256_mul_pd (v_logvis, v_itnerpcolor);
const __m256d v_sum = _mm256_add_pd (v_b, v_product);
_mm256_store_pd(b[0], v_sum);
b[0][4] += logvis;
}
for (; j < i; j+=1) {
bucket *const b = pb[q++];
const double *const p = iter_storage[j];
const double dbl_index0 = p[2] * 256;
const double logvis = p[3];
const __m128i v_cidx32 = _mm_set1_epi32((int) (dbl_index0));
const __m128i v_cidx16 = _mm_packs_epi32(v_cidx32, v_cidx32);
const __m128i v_cidx8 = _mm_packus_epi16(v_cidx16, v_cidx16);
const int cidx = _mm_extract_epi8(v_cidx8, 0);
const __m256d v_itnerpcolor = _mm256_load_pd(dmap[cidx]);
const __m256d v_b = _mm256_load_pd(b[0]);
const __m256d v_logvis = _mm256_set1_pd(logvis);
const __m256d v_product = _mm256_mul_pd (v_logvis, v_itnerpcolor);
const __m256d v_sum = _mm256_add_pd (v_b, v_product);
_mm256_store_pd(b[0], v_sum);
b[0][4] += logvis;
}
#undef UNROLL
}
#ifdef HAVE_LIBPTHREAD
pthread_exit((void *)0);
#endif
}
static int render_rectangle(flam3_frame *spec, void *out,
int field, int nchan, int transp, stat_struct *stats) {
int i, j, k, batch_num, temporal_sample_num;
double nsamples, batch_size;
double *filter, *temporal_filter, *temporal_deltas, *batch_filter;
double ppux=0, ppuy=0;
int image_width, image_height; /* size of the image to produce */
int out_width;
int filter_width=0;
int bytes_per_channel = spec->bytes_per_channel;
int oversample;
double highpow;
int nbatches;
int ntemporal_samples;
__attribute__((aligned(32))) double dmap[256][4];
int gutter_width;
double vibrancy = 0.0;
double gamma = 0.0;
double background[3];
int vib_gam_n = 0;
time_t progress_began=0;
int verbose = spec->verbose;
int gnm_idx,max_gnm_de_fw,de_offset;
flam3_genome cp;
unsigned short *xform_distrib;
flam3_iter_constants fic;
flam3_thread_helper *fth;
#ifdef HAVE_LIBPTHREAD
pthread_attr_t pt_attr;
pthread_t *myThreads=NULL;
#endif
int thi;
time_t tstart,tend;
double sumfilt;
char *ai;
char *last_block;
size_t memory_rqd;
/* Per-render progress timers */
time_t progress_timer=0;
time_t progress_timer_history[64];
double progress_history[64];
int progress_history_mark = 0;
tstart = time(NULL);
fic.badvals = 0;
fic.aborted = 0;
stats->num_iters = 0;
memset(&cp,0, sizeof(flam3_genome));
/* interpolate and get a control point */
flam3_interpolate(spec->genomes, spec->ngenomes, spec->time, 0, &cp);
oversample = cp.spatial_oversample;
highpow = cp.highlight_power;
nbatches = cp.nbatches;
ntemporal_samples = cp.ntemporal_samples;
if (nbatches < 1) {
fprintf(stderr, "nbatches must be positive, not %d.\n", nbatches);
return(1);
}
if (oversample < 1) {
fprintf(stderr, "oversample must be positive, not %d.\n", oversample);
return(1);
}
/* Initialize the thread helper structures */
fth = (flam3_thread_helper *)calloc(spec->nthreads,sizeof(flam3_thread_helper));
for (i=0;i<spec->nthreads;i++)
fth[i].cp.final_xform_index=-1;
/* Set up the output image dimensions, adjusted for scanline */
image_width = cp.width;
out_width = image_width;
if (field) {
image_height = cp.height / 2;
if (field == flam3_field_odd)
out = (unsigned char *)out + nchan * bytes_per_channel * out_width;
out_width *= 2;
} else
image_height = cp.height;
/* Spatial Filter kernel creation */
filter_width = flam3_create_spatial_filter(spec, field, &filter);
/* handle error */
if (filter_width<0) {
fprintf(stderr,"flam3_create_spatial_filter returned error: aborting\n");
return(1);
}
/* note we must free 'filter' at the end */
/* batch filter */
/* may want to revisit this at some point */
batch_filter = (double *) malloc(sizeof(double) * nbatches);
for (i=0; i<nbatches; i++)
batch_filter[i]=1.0/(double)nbatches;
/* temporal filter - we must free temporal_filter and temporal_deltas at the end */
sumfilt = flam3_create_temporal_filter(nbatches*ntemporal_samples,
cp.temporal_filter_type,
cp.temporal_filter_exp,
cp.temporal_filter_width,
&temporal_filter, &temporal_deltas);
/*
the number of additional rows of buckets we put at the edge so
that the filter doesn't go off the edge
*/
gutter_width = (filter_width - oversample) / 2;
/*
Check the size of the density estimation filter.
If the 'radius' of the density estimation filter is greater than the
gutter width, we have to pad with more. Otherwise, we can use the same value.
*/
max_gnm_de_fw=0;
for (gnm_idx = 0; gnm_idx < spec->ngenomes; gnm_idx++) {
int this_width = (int)ceil(spec->genomes[gnm_idx].estimator) * oversample;
if (this_width > max_gnm_de_fw)
max_gnm_de_fw = this_width;
}
/* Add OS-1 for the averaging at the edges, if it's > 0 already */
if (max_gnm_de_fw>0)
max_gnm_de_fw += (oversample-1);
/* max_gnm_de_fw is now the number of pixels of additional gutter */
/* necessary to appropriately perform the density estimation filtering */
/* Check to see if it's greater than the gutter_width */
if (max_gnm_de_fw > gutter_width) {
de_offset = max_gnm_de_fw - gutter_width;
gutter_width = max_gnm_de_fw;
} else
de_offset = 0;
/* Allocate the space required to render the image */
fic.height = oversample * image_height + 2 * gutter_width;
fic.width = oversample * image_width + 2 * gutter_width;
const long nbuckets = (long)fic.width * (long)fic.height;
bucket *const buckets = (bucket *) aligned_alloc(64, sizeof(bucket) * nbuckets * spec->nthreads);
abucket *const accumulate = (abucket *) aligned_alloc(64, sizeof(abucket) * nbuckets);
double *const points = (double *) aligned_alloc(64, 4 * sizeof(double) * (size_t)(spec->sub_batch_size) * spec->nthreads);
assert(buckets != NULL);
assert(accumulate != NULL);
assert(points != NULL);
if (verbose) {
fprintf(stderr, "chaos: ");
progress_began = time(NULL);
}
background[0] = background[1] = background[2] = 0.0;
memset((char *) accumulate, 0, sizeof(abucket) * nbuckets);
/* Batch loop - outermost */
for (batch_num = 0; batch_num < nbatches; batch_num++) {
double de_time;
double sample_density=0.0;
double k1, area, k2;
flam3_de_helper de;
de_time = spec->time + temporal_deltas[batch_num*ntemporal_samples];
memset((char *) buckets, 0, sizeof(bucket) * nbuckets * spec->nthreads);
/* interpolate and get a control point */
/* ONLY FOR DENSITY FILTER WIDTH PURPOSES */
/* additional interpolation will be done in the temporal_sample loop */
flam3_interpolate(spec->genomes, spec->ngenomes, de_time, 0, &cp);
/* if instructed to by the genome, create the density estimation */
/* filter kernels. Check boundary conditions as well. */
if (cp.estimator < 0.0 || cp.estimator_minimum < 0.0) {
fprintf(stderr,"density estimator filter widths must be >= 0\n");
return(1);
}
if (spec->bits <= 32) {
if (cp.estimator > 0.0) {
fprintf(stderr, "warning: density estimation disabled with %d bit buffers.\n", spec->bits);
cp.estimator = 0.0;
}
}
/* Create DE filters */
if (cp.estimator > 0.0) {
de = flam3_create_de_filters(cp.estimator,cp.estimator_minimum,
cp.estimator_curve,oversample);
if (de.kernel_size<0) {
fprintf(stderr,"de.kernel_size returned 0 - aborting.\n");
return(1);
}
} else
de.max_filter_index = 0;
/* Temporal sample loop */
for (temporal_sample_num = 0; temporal_sample_num < ntemporal_samples; temporal_sample_num++) {
double temporal_sample_time;
double color_scalar = temporal_filter[batch_num*ntemporal_samples + temporal_sample_num];
temporal_sample_time = spec->time +
temporal_deltas[batch_num*ntemporal_samples + temporal_sample_num];
/* Interpolate and get a control point */
flam3_interpolate(spec->genomes, spec->ngenomes, temporal_sample_time, 0, &cp);
/* Get the xforms ready to render */
if (prepare_precalc_flags(&cp)) {
fprintf(stderr,"prepare xform pointers returned error: aborting.\n");
return(1);
}
xform_distrib = flam3_create_xform_distrib(&cp);
if (xform_distrib==NULL) {
fprintf(stderr,"create xform distrib returned error: aborting.\n");
return(1);
}
/* compute the colormap entries. */
/* the input colormap is 256 long with entries from 0 to 1.0 */
for (j = 0; j < CMAP_SIZE; j++) {
for (k = 0; k < 4; k++)
dmap[j][k] = (cp.palette[(j * 256) / CMAP_SIZE].color[k] * WHITE_LEVEL) * color_scalar;
}
/* compute camera */
if (1) {
double t0, t1, shift=0.0, corner0, corner1;
double scale;
if (cp.sample_density <= 0.0) {
fprintf(stderr,
"sample density (quality) must be greater than zero,"
" not %g.\n", cp.sample_density);
return(1);
}
scale = pow(2.0, cp.zoom);
sample_density = cp.sample_density * scale * scale;
ppux = cp.pixels_per_unit * scale;
ppuy = field ? (ppux / 2.0) : ppux;
ppux /= spec->pixel_aspect_ratio;
switch (field) {
case flam3_field_both: shift = 0.0; break;
case flam3_field_even: shift = -0.5; break;
case flam3_field_odd: shift = 0.5; break;
}
shift = shift / ppux;
t0 = (double) gutter_width / (oversample * ppux);
t1 = (double) gutter_width / (oversample * ppuy);
corner0 = cp.center[0] - image_width / ppux / 2.0;
corner1 = cp.center[1] - image_height / ppuy / 2.0;
fic.bounds[0] = corner0 - t0;
fic.bounds[1] = corner1 - t1 + shift;
fic.bounds[2] = corner0 + image_width / ppux + t0;
fic.bounds[3] = corner1 + image_height / ppuy + t1 + shift;
fic.size[0] = 1.0 / (fic.bounds[2] - fic.bounds[0]);
fic.size[1] = 1.0 / (fic.bounds[3] - fic.bounds[1]);
fic.rot[0][0] = cos(cp.rotate * 2 * M_PI / 360.0);
fic.rot[0][1] = -sin(cp.rotate * 2 * M_PI / 360.0);
fic.rot[1][0] = -fic.rot[0][1];
fic.rot[1][1] = fic.rot[0][0];
fic.ws0 = fic.width * fic.size[0];
fic.wb0s0 = fic.ws0 * fic.bounds[0];
fic.hs1 = fic.height * fic.size[1];
fic.hb1s1 = fic.hs1 * fic.bounds[1];
}
/* number of samples is based only on the output image size */
nsamples = sample_density * image_width * image_height;
/* how many of these samples are rendered in this loop? */
batch_size = nsamples / (nbatches * ntemporal_samples);
stats->num_iters += batch_size;
/* Fill in the iter constants */
fic.xform_distrib = xform_distrib;
fic.spec = spec;
fic.batch_size = batch_size / (double)spec->nthreads;
fic.temporal_sample_num = temporal_sample_num;
fic.ntemporal_samples = ntemporal_samples;
fic.batch_num = batch_num;
fic.nbatches = nbatches;
fic.dmap = &dmap[0];
fic.color_scalar = color_scalar;
fic.buckets = (void *)buckets;
/* Need a timer per job */
fic.progress_timer = &progress_timer;
fic.progress_timer_history = &(progress_timer_history[0]);
fic.progress_history = &(progress_history[0]);
fic.progress_history_mark = &progress_history_mark;
/* Initialize the thread helper structures */
for (thi = 0; thi < spec->nthreads; thi++) {
int rk;
/* Create a new isaac state for this thread */
for (rk = 0; rk < RANDSIZ; rk++)
fth[thi].rc.randrsl[rk] = irand(&spec->rc);
fth[thi].buckets = ((void*)buckets) + sizeof(bucket) * nbuckets * thi;
irandinit(&(fth[thi].rc),1);
if (0==thi) {
fth[thi].first_thread=1;
if (0==batch_num && 0==temporal_sample_num)
fth[thi].timer_initialize = 1;
else
fth[thi].timer_initialize = 0;
} else {
fth[thi].first_thread=0;
fth[thi].timer_initialize = 0;
}
fth[thi].iter_storage = &(points[thi*(spec->sub_batch_size)*4]);
fth[thi].fic = &fic;
flam3_copy(&(fth[thi].cp),&cp);
}
#ifdef HAVE_LIBPTHREAD
/* Let's make some threads */
myThreads = (pthread_t *)malloc(spec->nthreads * sizeof(pthread_t));
pthread_attr_init(&pt_attr);
pthread_attr_setdetachstate(&pt_attr,PTHREAD_CREATE_JOINABLE);
for (thi=0; thi <spec->nthreads; thi ++)
pthread_create(&myThreads[thi], &pt_attr, (void *)iter_thread, (void *)(&(fth[thi])));
pthread_attr_destroy(&pt_attr);
/* Wait for them to return */
for (thi=0; thi < spec->nthreads; thi++)
pthread_join(myThreads[thi], NULL);
free(myThreads);
#else
for (thi=0; thi < spec->nthreads; thi++)
iter_thread( (void *)(&(fth[thi])) );
#endif
/* Free the xform_distrib array */
free(xform_distrib);
if (fic.aborted) {
if (verbose) fprintf(stderr, "\naborted!\n");
goto done;
}
vibrancy += cp.vibrancy;
gamma += cp.gamma;
background[0] += cp.background[0];
background[1] += cp.background[1];
background[2] += cp.background[2];
vib_gam_n++;
}
// Sum thread buckets
for (thi = 1; thi < spec->nthreads; thi++) {
const bucket *tb = (bucket*)fth[thi].buckets;
for (int i = 0 ; i < nbuckets ; i++) {
buckets[i][0] += tb[i][0];
buckets[i][1] += tb[i][1];
buckets[i][2] += tb[i][2];
buckets[i][3] += tb[i][3];
buckets[i][4] += tb[i][4];
}
}
// Rescale logviss
for (int i = 0 ; i < nbuckets ; i++) {
buckets[i][4] *= 255.0;
}
k1 =(cp.contrast * cp.brightness *
PREFILTER_WHITE * 268.0 * batch_filter[batch_num]) / 256;
area = image_width * image_height / (ppux * ppuy);
k2 = (oversample * oversample * nbatches) /
(cp.contrast * area * WHITE_LEVEL * sample_density * sumfilt);
#if 0
printf("iw=%d,ih=%d,ppux=%f,ppuy=%f\n",image_width,image_height,ppux,ppuy);
printf("contrast=%f, brightness=%f, PREFILTER=%d, temporal_filter=%f\n",
cp.contrast, cp.brightness, PREFILTER_WHITE, temporal_filter[batch_num]);
printf("oversample=%d, nbatches=%d, area = %f, WHITE_LEVEL=%d, sample_density=%f\n",
oversample, nbatches, area, WHITE_LEVEL, sample_density);
printf("k1=%f,k2=%15.12f\n",k1,k2);
#endif
if (de.max_filter_index == 0) {
for (j = 0; j < fic.height; j++) {
for (i = 0; i < fic.width; i++) {
abucket *a = accumulate + i + j * fic.width;
bucket *b = buckets + i + j * fic.width;
double c[4], ls;
c[0] = (double) b[0][0];
c[1] = (double) b[0][1];
c[2] = (double) b[0][2];
c[3] = (double) b[0][3];
if (0.0 == c[3])
continue;
ls = (k1 * log(1.0 + c[3] * k2))/c[3];
c[0] *= ls;
c[1] *= ls;
c[2] *= ls;