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yuzu-mainline
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texture_cache: Use pre-allocated buffer for texture downloads

This commit is contained in:
ameerj 2022-12-22 17:01:39 -05:00
parent c448b3af2f
commit 1209d428f1
3 changed files with 14 additions and 9 deletions

View File

@ -96,7 +96,8 @@ void TextureCache<P>::RunGarbageCollector() {
const auto copies = FullDownloadCopies(image.info); const auto copies = FullDownloadCopies(image.info);
image.DownloadMemory(map, copies); image.DownloadMemory(map, copies);
runtime.Finish(); runtime.Finish();
SwizzleImage(*gpu_memory, image.gpu_addr, image.info, copies, map.mapped_span); SwizzleImage(*gpu_memory, image.gpu_addr, image.info, copies, map.mapped_span,
swizzle_data_buffer);
} }
if (True(image.flags & ImageFlagBits::Tracked)) { if (True(image.flags & ImageFlagBits::Tracked)) {
UntrackImage(image, image_id); UntrackImage(image, image_id);
@ -467,7 +468,8 @@ void TextureCache<P>::DownloadMemory(VAddr cpu_addr, size_t size) {
const auto copies = FullDownloadCopies(image.info); const auto copies = FullDownloadCopies(image.info);
image.DownloadMemory(map, copies); image.DownloadMemory(map, copies);
runtime.Finish(); runtime.Finish();
SwizzleImage(*gpu_memory, image.gpu_addr, image.info, copies, map.mapped_span); SwizzleImage(*gpu_memory, image.gpu_addr, image.info, copies, map.mapped_span,
swizzle_data_buffer);
} }
} }
@ -678,7 +680,8 @@ void TextureCache<P>::PopAsyncFlushes() {
for (const ImageId image_id : download_ids) { for (const ImageId image_id : download_ids) {
const ImageBase& image = slot_images[image_id]; const ImageBase& image = slot_images[image_id];
const auto copies = FullDownloadCopies(image.info); const auto copies = FullDownloadCopies(image.info);
SwizzleImage(*gpu_memory, image.gpu_addr, image.info, copies, download_span); SwizzleImage(*gpu_memory, image.gpu_addr, image.info, copies, download_span,
swizzle_data_buffer);
download_map.offset += image.unswizzled_size_bytes; download_map.offset += image.unswizzled_size_bytes;
download_span = download_span.subspan(image.unswizzled_size_bytes); download_span = download_span.subspan(image.unswizzled_size_bytes);
} }

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@ -505,7 +505,7 @@ void SwizzlePitchLinearImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr
void SwizzleBlockLinearImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr, void SwizzleBlockLinearImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr,
const ImageInfo& info, const BufferImageCopy& copy, const ImageInfo& info, const BufferImageCopy& copy,
std::span<const u8> input) { std::span<const u8> input, std::vector<u8>& tmp_buffer) {
const Extent3D size = info.size; const Extent3D size = info.size;
const LevelInfo level_info = MakeLevelInfo(info); const LevelInfo level_info = MakeLevelInfo(info);
const Extent2D tile_size = DefaultBlockSize(info.format); const Extent2D tile_size = DefaultBlockSize(info.format);
@ -534,8 +534,8 @@ void SwizzleBlockLinearImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr
tile_size.height, info.tile_width_spacing); tile_size.height, info.tile_width_spacing);
const size_t subresource_size = sizes[level]; const size_t subresource_size = sizes[level];
const auto dst_data = std::make_unique<u8[]>(subresource_size); tmp_buffer.resize(subresource_size);
const std::span<u8> dst(dst_data.get(), subresource_size); const std::span<u8> dst(tmp_buffer);
for (s32 layer = 0; layer < info.resources.layers; ++layer) { for (s32 layer = 0; layer < info.resources.layers; ++layer) {
const std::span<const u8> src = input.subspan(host_offset); const std::span<const u8> src = input.subspan(host_offset);
@ -977,13 +977,14 @@ std::vector<SwizzleParameters> FullUploadSwizzles(const ImageInfo& info) {
} }
void SwizzleImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr, const ImageInfo& info, void SwizzleImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr, const ImageInfo& info,
std::span<const BufferImageCopy> copies, std::span<const u8> memory) { std::span<const BufferImageCopy> copies, std::span<const u8> memory,
std::vector<u8>& tmp_buffer) {
const bool is_pitch_linear = info.type == ImageType::Linear; const bool is_pitch_linear = info.type == ImageType::Linear;
for (const BufferImageCopy& copy : copies) { for (const BufferImageCopy& copy : copies) {
if (is_pitch_linear) { if (is_pitch_linear) {
SwizzlePitchLinearImage(gpu_memory, gpu_addr, info, copy, memory); SwizzlePitchLinearImage(gpu_memory, gpu_addr, info, copy, memory);
} else { } else {
SwizzleBlockLinearImage(gpu_memory, gpu_addr, info, copy, memory); SwizzleBlockLinearImage(gpu_memory, gpu_addr, info, copy, memory, tmp_buffer);
} }
} }
} }

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@ -77,7 +77,8 @@ void ConvertImage(std::span<const u8> input, const ImageInfo& info, std::span<u8
[[nodiscard]] std::vector<SwizzleParameters> FullUploadSwizzles(const ImageInfo& info); [[nodiscard]] std::vector<SwizzleParameters> FullUploadSwizzles(const ImageInfo& info);
void SwizzleImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr, const ImageInfo& info, void SwizzleImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr, const ImageInfo& info,
std::span<const BufferImageCopy> copies, std::span<const u8> memory); std::span<const BufferImageCopy> copies, std::span<const u8> memory,
std::vector<u8>& tmp_buffer);
[[nodiscard]] bool IsBlockLinearSizeCompatible(const ImageInfo& new_info, [[nodiscard]] bool IsBlockLinearSizeCompatible(const ImageInfo& new_info,
const ImageInfo& overlap_info, u32 new_level, const ImageInfo& overlap_info, u32 new_level,