Merge "Fix the random generator in HistogramCombineStochastic."
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10d791ca70
@ -596,11 +596,11 @@ static VP8LHistogram* HistogramCombineEntropyBin(
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return cur_combo;
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}
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// Implement a Lehmer random number generator with a multiplicative constant of
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// 48271 and a modulo constant of 2^31 − 1.
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static uint32_t MyRand(uint32_t* const seed) {
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*seed = (*seed * 16807ull) & 0xffffffffu;
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if (*seed == 0) {
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*seed = 1;
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}
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*seed = (uint32_t)(((uint64_t)(*seed) * 48271ul) % 2147483647ul);
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assert(*seed > 0);
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return *seed;
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}
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@ -782,15 +782,13 @@ static int HistogramCombineGreedy(VP8LHistogramSet* const image_histo) {
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// afterwards, 0 otherwise.
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static void HistogramCombineStochastic(VP8LHistogramSet* const image_histo,
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VP8LHistogram* tmp_histo,
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VP8LHistogram* best_combo, int quality,
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VP8LHistogram* best_combo,
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int min_cluster_size, int* do_greedy) {
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int iter;
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uint32_t seed = 0;
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uint32_t seed = 1;
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int tries_with_no_success = 0;
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int image_histo_size = image_histo->size;
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const int iter_mult = (quality < 25) ? 2 : 2 + (quality - 25) / 8;
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const int outer_iters = image_histo_size * iter_mult;
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const int num_pairs = image_histo_size / 2;
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const int outer_iters = image_histo_size;
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const int num_tries_no_success = outer_iters / 2;
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VP8LHistogram** const histograms = image_histo->histograms;
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@ -803,8 +801,11 @@ static void HistogramCombineStochastic(VP8LHistogramSet* const image_histo,
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double best_cost_diff = 0.;
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int best_idx1 = -1, best_idx2 = 1;
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int j;
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int num_tries =
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(num_pairs < image_histo_size) ? num_pairs : image_histo_size;
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const uint32_t rand_range = (image_histo_size - 1) * image_histo_size;
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// 6/10 was chosen empirically.
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// TODO(vrabaud): use less magic constants in that code.
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const int num_tries = (6 * image_histo_size) / 10;
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// If the stochastic method has not worked for a while (10 iterations) and
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// if it requires less iterations to finish off with a greedy approach, go
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// for it.
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@ -818,19 +819,13 @@ static void HistogramCombineStochastic(VP8LHistogramSet* const image_histo,
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num_tries * (outer_iters - iter));
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if (*do_greedy) break;
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seed += iter;
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for (j = 0; j < num_tries; ++j) {
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double curr_cost_diff;
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// Choose two histograms at random and try to combine them.
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uint32_t idx1, idx2;
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const uint32_t tmp = (j & 7) + 1;
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const uint32_t diff =
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(tmp < 3) ? tmp : MyRand(&seed) % (image_histo_size - 1);
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idx1 = MyRand(&seed) % image_histo_size;
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idx2 = (idx1 + diff + 1) % image_histo_size;
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if (idx1 == idx2) {
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continue;
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}
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// Choose two different histograms at random and try to combine them.
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const uint32_t tmp = MyRand(&seed) % rand_range;
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const uint32_t idx1 = tmp / (image_histo_size - 1);
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uint32_t idx2 = tmp % (image_histo_size - 1);
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if (idx2 >= idx1) ++idx2;
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// Calculate cost reduction on combining.
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curr_cost_diff = HistogramAddEval(histograms[idx1], histograms[idx2],
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@ -967,7 +962,7 @@ int VP8LGetHistoImageSymbols(int xsize, int ysize,
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const int threshold_size = (int)(1 + (x * x * x) * (MAX_HISTO_GREEDY - 1));
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int do_greedy;
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HistogramCombineStochastic(image_histo, tmp_histos->histograms[0],
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cur_combo, quality, threshold_size, &do_greedy);
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cur_combo, threshold_size, &do_greedy);
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if (do_greedy && !HistogramCombineGreedy(image_histo)) {
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goto Error;
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}
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