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https://github.com/yuzu-emu/yuzu-mainline.git
synced 2024-12-12 19:34:23 +01:00
texture_cache: Use pre-allocated buffer for texture downloads
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parent
c448b3af2f
commit
1209d428f1
@ -96,7 +96,8 @@ void TextureCache<P>::RunGarbageCollector() {
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const auto copies = FullDownloadCopies(image.info);
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image.DownloadMemory(map, copies);
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runtime.Finish();
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SwizzleImage(*gpu_memory, image.gpu_addr, image.info, copies, map.mapped_span);
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SwizzleImage(*gpu_memory, image.gpu_addr, image.info, copies, map.mapped_span,
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swizzle_data_buffer);
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}
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if (True(image.flags & ImageFlagBits::Tracked)) {
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UntrackImage(image, image_id);
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@ -467,7 +468,8 @@ void TextureCache<P>::DownloadMemory(VAddr cpu_addr, size_t size) {
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const auto copies = FullDownloadCopies(image.info);
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image.DownloadMemory(map, copies);
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runtime.Finish();
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SwizzleImage(*gpu_memory, image.gpu_addr, image.info, copies, map.mapped_span);
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SwizzleImage(*gpu_memory, image.gpu_addr, image.info, copies, map.mapped_span,
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swizzle_data_buffer);
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}
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}
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@ -678,7 +680,8 @@ void TextureCache<P>::PopAsyncFlushes() {
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for (const ImageId image_id : download_ids) {
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const ImageBase& image = slot_images[image_id];
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const auto copies = FullDownloadCopies(image.info);
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SwizzleImage(*gpu_memory, image.gpu_addr, image.info, copies, download_span);
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SwizzleImage(*gpu_memory, image.gpu_addr, image.info, copies, download_span,
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swizzle_data_buffer);
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download_map.offset += image.unswizzled_size_bytes;
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download_span = download_span.subspan(image.unswizzled_size_bytes);
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}
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@ -505,7 +505,7 @@ void SwizzlePitchLinearImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr
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void SwizzleBlockLinearImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr,
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const ImageInfo& info, const BufferImageCopy& copy,
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std::span<const u8> input) {
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std::span<const u8> input, std::vector<u8>& tmp_buffer) {
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const Extent3D size = info.size;
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const LevelInfo level_info = MakeLevelInfo(info);
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const Extent2D tile_size = DefaultBlockSize(info.format);
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@ -534,8 +534,8 @@ void SwizzleBlockLinearImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr
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tile_size.height, info.tile_width_spacing);
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const size_t subresource_size = sizes[level];
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const auto dst_data = std::make_unique<u8[]>(subresource_size);
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const std::span<u8> dst(dst_data.get(), subresource_size);
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tmp_buffer.resize(subresource_size);
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const std::span<u8> dst(tmp_buffer);
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for (s32 layer = 0; layer < info.resources.layers; ++layer) {
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const std::span<const u8> src = input.subspan(host_offset);
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@ -977,13 +977,14 @@ std::vector<SwizzleParameters> FullUploadSwizzles(const ImageInfo& info) {
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}
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void SwizzleImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr, const ImageInfo& info,
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std::span<const BufferImageCopy> copies, std::span<const u8> memory) {
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std::span<const BufferImageCopy> copies, std::span<const u8> memory,
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std::vector<u8>& tmp_buffer) {
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const bool is_pitch_linear = info.type == ImageType::Linear;
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for (const BufferImageCopy& copy : copies) {
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if (is_pitch_linear) {
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SwizzlePitchLinearImage(gpu_memory, gpu_addr, info, copy, memory);
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} else {
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SwizzleBlockLinearImage(gpu_memory, gpu_addr, info, copy, memory);
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SwizzleBlockLinearImage(gpu_memory, gpu_addr, info, copy, memory, tmp_buffer);
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}
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}
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}
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@ -77,7 +77,8 @@ void ConvertImage(std::span<const u8> input, const ImageInfo& info, std::span<u8
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[[nodiscard]] std::vector<SwizzleParameters> FullUploadSwizzles(const ImageInfo& info);
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void SwizzleImage(Tegra::MemoryManager& gpu_memory, GPUVAddr gpu_addr, const ImageInfo& info,
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std::span<const BufferImageCopy> copies, std::span<const u8> memory);
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std::span<const BufferImageCopy> copies, std::span<const u8> memory,
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std::vector<u8>& tmp_buffer);
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[[nodiscard]] bool IsBlockLinearSizeCompatible(const ImageInfo& new_info,
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const ImageInfo& overlap_info, u32 new_level,
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