mirrors-yuzu-emu/yuzu-mainline
1
0
Fork 0
mirror of https://github.com/yuzu-emu/yuzu-mainline synced 2024-11-22 14:53:38 +00:00
Code Issues Projects Releases Packages Wiki Activity

Texture Cache: make sparse texture table per channel

Browse source
This commit is contained in:
Fernando Sahmkow 2024-01-30 11:52:41 +01:00
parent ffe3984353
commit a7c1306e2d
2 changed files with 51 additions and 40 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

87
src/video_core/texture_cache/texture_cache.h
View file

@ -1431,7 +1431,8 @@ ImageId TextureCache<P>::JoinImages(const ImageInfo& info, GPUVAddr gpu_addr, DA
}
}
};
ForEachSparseImageInRegion(gpu_addr, size_bytes, region_check_gpu);
ForEachSparseImageInRegion(channel_state->gpu_memory.GetID(), gpu_addr, size_bytes,
region_check_gpu);
bool can_rescale = info.rescaleable;
bool any_rescaled = false;
@ -1842,7 +1843,7 @@ void TextureCache<P>::ForEachImageInRegionGPU(size_t as_id, GPUVAddr gpu_addr, s
if (!storage_id) {
return;
}
auto& gpu_page_table = gpu_page_table_storage[*storage_id];
auto& gpu_page_table = gpu_page_table_storage[*storage_id * 2];
ForEachGPUPage(gpu_addr, size,
[this, &gpu_page_table, &images, gpu_addr, size, func](u64 page) {
const auto it = gpu_page_table.find(page);
@ -1882,41 +1883,48 @@ void TextureCache<P>::ForEachImageInRegionGPU(size_t as_id, GPUVAddr gpu_addr, s
template <class P>
template <typename Func>
void TextureCache<P>::ForEachSparseImageInRegion(GPUVAddr gpu_addr, size_t size, Func&& func) {
void TextureCache<P>::ForEachSparseImageInRegion(size_t as_id, GPUVAddr gpu_addr, size_t size,
Func&& func) {
using FuncReturn = typename std::invoke_result<Func, ImageId, Image&>::type;
static constexpr bool BOOL_BREAK = std::is_same_v<FuncReturn, bool>;
boost::container::small_vector<ImageId, 8> images;
ForEachGPUPage(gpu_addr, size, [this, &images, gpu_addr, size, func](u64 page) {
const auto it = sparse_page_table.find(page);
if (it == sparse_page_table.end()) {
if constexpr (BOOL_BREAK) {
return false;
} else {
return;
}
}
for (const ImageId image_id : it->second) {
Image& image = slot_images[image_id];
if (True(image.flags & ImageFlagBits::Picked)) {
continue;
}
if (!image.OverlapsGPU(gpu_addr, size)) {
continue;
}
image.flags |= ImageFlagBits::Picked;
images.push_back(image_id);
if constexpr (BOOL_BREAK) {
if (func(image_id, image)) {
return true;
}
} else {
func(image_id, image);
}
}
if constexpr (BOOL_BREAK) {
return false;
}
});
auto storage_id = getStorageID(as_id);
if (!storage_id) {
return;
}
auto& sparse_page_table = gpu_page_table_storage[*storage_id * 2 + 1];
ForEachGPUPage(gpu_addr, size,
[this, &sparse_page_table, &images, gpu_addr, size, func](u64 page) {
const auto it = sparse_page_table.find(page);
if (it == sparse_page_table.end()) {
if constexpr (BOOL_BREAK) {
return false;
} else {
return;
}
}
for (const ImageId image_id : it->second) {
Image& image = slot_images[image_id];
if (True(image.flags & ImageFlagBits::Picked)) {
continue;
}
if (!image.OverlapsGPU(gpu_addr, size)) {
continue;
}
image.flags |= ImageFlagBits::Picked;
images.push_back(image_id);
if constexpr (BOOL_BREAK) {
if (func(image_id, image)) {
return true;
}
} else {
func(image_id, image);
}
}
if constexpr (BOOL_BREAK) {
return false;
}
});
for (const ImageId image_id : images) {
slot_images[image_id].flags &= ~ImageFlagBits::Picked;
}
@ -1988,8 +1996,9 @@ void TextureCache<P>::RegisterImage(ImageId image_id) {
sparse_maps.push_back(map_id);
});
sparse_views.emplace(image_id, std::move(sparse_maps));
ForEachGPUPage(image.gpu_addr, image.guest_size_bytes,
[this, image_id](u64 page) { sparse_page_table[page].push_back(image_id); });
ForEachGPUPage(image.gpu_addr, image.guest_size_bytes, [this, image_id](u64 page) {
(*channel_state->sparse_page_table)[page].push_back(image_id);
});
}
template <class P>
@ -2042,7 +2051,7 @@ void TextureCache<P>::UnregisterImage(ImageId image_id) {
return;
}
ForEachGPUPage(image.gpu_addr, image.guest_size_bytes, [this, &clear_page_table](u64 page) {
clear_page_table(page, sparse_page_table);
clear_page_table(page, (*channel_state->sparse_page_table));
});
auto it = sparse_views.find(image_id);
ASSERT(it != sparse_views.end());
@ -2496,13 +2505,15 @@ void TextureCache<P>::CreateChannel(struct Tegra::Control::ChannelState& channel
const auto it = channel_map.find(channel.bind_id);
auto* this_state = &channel_storage[it->second];
const auto& this_as_ref = address_spaces[channel.memory_manager->GetID()];
this_state->gpu_page_table = &gpu_page_table_storage[this_as_ref.storage_id];
this_state->gpu_page_table = &gpu_page_table_storage[this_as_ref.storage_id * 2];
this_state->sparse_page_table = &gpu_page_table_storage[this_as_ref.storage_id * 2 + 1];
}
/// Bind a channel for execution.
template <class P>
void TextureCache<P>::OnGPUASRegister([[maybe_unused]] size_t map_id) {
gpu_page_table_storage.emplace_back();
gpu_page_table_storage.emplace_back();
}
} // namespace VideoCommon

4
src/video_core/texture_cache/texture_cache_base.h
View file

@ -86,6 +86,7 @@ public:
std::unordered_map<TSCEntry, SamplerId> samplers;
TextureCacheGPUMap* gpu_page_table;
TextureCacheGPUMap* sparse_page_table;
};
template <class P>
@ -357,7 +358,7 @@ private:
void ForEachImageInRegionGPU(size_t as_id, GPUVAddr gpu_addr, size_t size, Func&& func);
template <typename Func>
void ForEachSparseImageInRegion(GPUVAddr gpu_addr, size_t size, Func&& func);
void ForEachSparseImageInRegion(size_t as_id, GPUVAddr gpu_addr, size_t size, Func&& func);
/// Iterates over all the images in a region calling func
template <typename Func>
@ -431,7 +432,6 @@ private:
std::unordered_map<RenderTargets, FramebufferId> framebuffers;
std::unordered_map<u64, std::vector<ImageMapId>, Common::IdentityHash<u64>> page_table;
std::unordered_map<u64, std::vector<ImageId>, Common::IdentityHash<u64>> sparse_page_table;
std::unordered_map<ImageId, boost::container::small_vector<ImageViewId, 16>> sparse_views;
DAddr virtual_invalid_space{};