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@ -53,17 +53,16 @@ TextureCache<P>::TextureCache(Runtime& runtime_, VideoCore::RasterizerInterface&
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const s64 device_memory = static_cast<s64>(runtime.GetDeviceLocalMemory());
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const s64 min_spacing_expected = device_memory - 1_GiB - 512_MiB;
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const s64 min_spacing_critical = device_memory - 1_GiB;
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const s64 mem_tresshold = std::min(device_memory, TARGET_THRESHOLD);
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const s64 min_vacancy_expected = (6 * mem_tresshold) / 10;
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const s64 min_vacancy_critical = (3 * mem_tresshold) / 10;
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const s64 mem_threshold = std::min(device_memory, TARGET_THRESHOLD);
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const s64 min_vacancy_expected = (6 * mem_threshold) / 10;
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const s64 min_vacancy_critical = (3 * mem_threshold) / 10;
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expected_memory = static_cast<u64>(
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std::max(std::min(device_memory - min_vacancy_expected, min_spacing_expected),
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DEFAULT_EXPECTED_MEMORY));
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critical_memory = static_cast<u64>(
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std::max(std::min(device_memory - min_vacancy_critical, min_spacing_critical),
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DEFAULT_CRITICAL_MEMORY));
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minimum_memory = static_cast<u64>((device_memory - mem_tresshold) / 2);
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LOG_CRITICAL(Debug, "Available Memory: {}", device_memory / 1_MiB);
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minimum_memory = static_cast<u64>((device_memory - mem_threshold) / 2);
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} else {
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expected_memory = DEFAULT_EXPECTED_MEMORY + 512_MiB;
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critical_memory = DEFAULT_CRITICAL_MEMORY + 1_GiB;
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@ -73,11 +72,12 @@ TextureCache<P>::TextureCache(Runtime& runtime_, VideoCore::RasterizerInterface&
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template <class P>
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void TextureCache<P>::RunGarbageCollector() {
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const bool high_priority_mode = total_used_memory >= expected_memory;
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const bool aggressive_mode = total_used_memory >= critical_memory;
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const u64 ticks_to_destroy = aggressive_mode ? 10ULL : high_priority_mode ? 25ULL : 100ULL;
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size_t num_iterations = aggressive_mode ? 300 : (high_priority_mode ? 50 : 10);
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const auto clean_up = [this, &num_iterations, high_priority_mode](ImageId image_id) {
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bool high_priority_mode = total_used_memory >= expected_memory;
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bool aggressive_mode = total_used_memory >= critical_memory;
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const u64 ticks_to_destroy = aggressive_mode ? 10ULL : high_priority_mode ? 25ULL : 50ULL;
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size_t num_iterations = aggressive_mode ? 40 : (high_priority_mode ? 20 : 10);
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const auto clean_up = [this, &num_iterations, &high_priority_mode,
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&aggressive_mode](ImageId image_id) {
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if (num_iterations == 0) {
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return true;
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}
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@ -85,7 +85,8 @@ void TextureCache<P>::RunGarbageCollector() {
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auto& image = slot_images[image_id];
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const bool must_download =
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image.IsSafeDownload() && False(image.flags & ImageFlagBits::BadOverlap);
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if (!high_priority_mode && must_download) {
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if (!high_priority_mode &&
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(must_download || True(image.flags & ImageFlagBits::CostlyLoad))) {
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return false;
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}
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if (must_download) {
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@ -100,6 +101,18 @@ void TextureCache<P>::RunGarbageCollector() {
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}
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UnregisterImage(image_id);
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DeleteImage(image_id, image.scale_tick > frame_tick + 5);
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if (total_used_memory < critical_memory) {
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if (aggressive_mode) {
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// Sink the aggresiveness.
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num_iterations >>= 2;
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aggressive_mode = false;
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return false;
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}
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if (high_priority_mode && total_used_memory < expected_memory) {
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num_iterations >>= 1;
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high_priority_mode = false;
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}
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}
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return false;
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};
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lru_cache.ForEachItemBelow(frame_tick - ticks_to_destroy, clean_up);
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@ -120,7 +133,6 @@ void TextureCache<P>::TickFrame() {
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runtime.TickFrame();
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critical_gc = 0;
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++frame_tick;
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LOG_CRITICAL(Debug, "Current memory: {}", total_used_memory / 1_MiB);
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}
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template <class P>
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