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Merge pull request #9194 from FernandoS27/yfc-fermi2d
Merge pull request #9194 from FernandoS27/yfc-fermi2d
YFC - Fermi2D: Rework blit engine and add a software blitter.pull/15/merge
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21 changed files with 1832 additions and 31 deletions
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4src/video_core/CMakeLists.txt
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2src/video_core/control/channel_state.cpp
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26src/video_core/engines/fermi_2d.cpp
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9src/video_core/engines/fermi_2d.h
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67src/video_core/engines/maxwell_dma.cpp
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3src/video_core/engines/maxwell_dma.h
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238src/video_core/engines/sw_blitter/blitter.cpp
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27src/video_core/engines/sw_blitter/blitter.h
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1234src/video_core/engines/sw_blitter/converter.cpp
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36src/video_core/engines/sw_blitter/converter.h
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136src/video_core/engines/sw_blitter/generate_converters.py
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18src/video_core/gpu.h
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3src/video_core/renderer_opengl/gl_rasterizer.cpp
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1src/video_core/renderer_opengl/maxwell_to_gl.h
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1src/video_core/renderer_vulkan/maxwell_to_vk.cpp
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3src/video_core/renderer_vulkan/vk_rasterizer.cpp
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12src/video_core/surface.cpp
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4src/video_core/surface.h
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2src/video_core/texture_cache/formatter.h
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29src/video_core/texture_cache/texture_cache.h
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8src/video_core/texture_cache/texture_cache_base.h
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// SPDX-FileCopyrightText: Copyright 2022 yuzu Emulator Project
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// SPDX-License-Identifier: GPL-3.0-or-later
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#include <algorithm>
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#include <cmath>
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#include <vector>
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#include "video_core/engines/sw_blitter/blitter.h"
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#include "video_core/engines/sw_blitter/converter.h"
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#include "video_core/memory_manager.h"
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#include "video_core/surface.h"
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#include "video_core/textures/decoders.h"
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namespace Tegra { |
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class MemoryManager; |
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} |
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using VideoCore::Surface::BytesPerBlock; |
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using VideoCore::Surface::PixelFormatFromRenderTargetFormat; |
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namespace Tegra::Engines::Blitter { |
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using namespace Texture; |
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namespace { |
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constexpr size_t ir_components = 4; |
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void NearestNeighbor(std::span<const u8> input, std::span<u8> output, u32 src_width, u32 src_height, |
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u32 dst_width, u32 dst_height, size_t bpp) { |
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const size_t dx_du = std::llround((static_cast<f64>(src_width) / dst_width) * (1ULL << 32)); |
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const size_t dy_dv = std::llround((static_cast<f64>(src_height) / dst_height) * (1ULL << 32)); |
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size_t src_y = 0; |
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for (u32 y = 0; y < dst_height; y++) { |
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size_t src_x = 0; |
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for (u32 x = 0; x < dst_width; x++) { |
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const size_t read_from = ((src_y * src_width + src_x) >> 32) * bpp; |
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const size_t write_to = (y * dst_width + x) * bpp; |
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std::memcpy(&output[write_to], &input[read_from], bpp); |
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src_x += dx_du; |
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} |
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src_y += dy_dv; |
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} |
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} |
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void NearestNeighborFast(std::span<const f32> input, std::span<f32> output, u32 src_width, |
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u32 src_height, u32 dst_width, u32 dst_height) { |
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const size_t dx_du = std::llround((static_cast<f64>(src_width) / dst_width) * (1ULL << 32)); |
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const size_t dy_dv = std::llround((static_cast<f64>(src_height) / dst_height) * (1ULL << 32)); |
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size_t src_y = 0; |
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for (u32 y = 0; y < dst_height; y++) { |
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size_t src_x = 0; |
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for (u32 x = 0; x < dst_width; x++) { |
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const size_t read_from = ((src_y * src_width + src_x) >> 32) * ir_components; |
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const size_t write_to = (y * dst_width + x) * ir_components; |
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std::memcpy(&output[write_to], &input[read_from], sizeof(f32) * ir_components); |
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src_x += dx_du; |
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} |
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src_y += dy_dv; |
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} |
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} |
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void Bilinear(std::span<const f32> input, std::span<f32> output, size_t src_width, |
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size_t src_height, size_t dst_width, size_t dst_height) { |
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const auto bilinear_sample = [](std::span<const f32> x0_y0, std::span<const f32> x1_y0, |
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std::span<const f32> x0_y1, std::span<const f32> x1_y1, |
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f32 weight_x, f32 weight_y) { |
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std::array<f32, ir_components> result{}; |
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for (size_t i = 0; i < ir_components; i++) { |
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const f32 a = std::lerp(x0_y0[i], x1_y0[i], weight_x); |
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const f32 b = std::lerp(x0_y1[i], x1_y1[i], weight_x); |
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result[i] = std::lerp(a, b, weight_y); |
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} |
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return result; |
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}; |
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const f32 dx_du = |
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dst_width > 1 ? static_cast<f32>(src_width - 1) / static_cast<f32>(dst_width - 1) : 0.f; |
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const f32 dy_dv = |
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dst_height > 1 ? static_cast<f32>(src_height - 1) / static_cast<f32>(dst_height - 1) : 0.f; |
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for (u32 y = 0; y < dst_height; y++) { |
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for (u32 x = 0; x < dst_width; x++) { |
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const f32 x_low = std::floor(static_cast<f32>(x) * dx_du); |
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const f32 y_low = std::floor(static_cast<f32>(y) * dy_dv); |
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const f32 x_high = std::ceil(static_cast<f32>(x) * dx_du); |
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const f32 y_high = std::ceil(static_cast<f32>(y) * dy_dv); |
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const f32 weight_x = (static_cast<f32>(x) * dx_du) - x_low; |
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const f32 weight_y = (static_cast<f32>(y) * dy_dv) - y_low; |
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const auto read_src = [&](f32 in_x, f32 in_y) { |
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const size_t read_from = |
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((static_cast<size_t>(in_x) * src_width + static_cast<size_t>(in_y)) >> 32) * |
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ir_components; |
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return std::span<const f32>(&input[read_from], ir_components); |
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}; |
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auto x0_y0 = read_src(x_low, y_low); |
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auto x1_y0 = read_src(x_high, y_low); |
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auto x0_y1 = read_src(x_low, y_high); |
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auto x1_y1 = read_src(x_high, y_high); |
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const auto result = bilinear_sample(x0_y0, x1_y0, x0_y1, x1_y1, weight_x, weight_y); |
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const size_t write_to = (y * dst_width + x) * ir_components; |
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std::memcpy(&output[write_to], &result, sizeof(f32) * ir_components); |
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} |
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} |
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} |
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} // namespace
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struct SoftwareBlitEngine::BlitEngineImpl { |
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std::vector<u8> tmp_buffer; |
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std::vector<u8> src_buffer; |
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std::vector<u8> dst_buffer; |
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std::vector<f32> intermediate_src; |
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std::vector<f32> intermediate_dst; |
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ConverterFactory converter_factory; |
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}; |
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SoftwareBlitEngine::SoftwareBlitEngine(MemoryManager& memory_manager_) |
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: memory_manager{memory_manager_} { |
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impl = std::make_unique<BlitEngineImpl>(); |
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} |
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SoftwareBlitEngine::~SoftwareBlitEngine() = default; |
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bool SoftwareBlitEngine::Blit(Fermi2D::Surface& src, Fermi2D::Surface& dst, |
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Fermi2D::Config& config) { |
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const auto get_surface_size = [](Fermi2D::Surface& surface, u32 bytes_per_pixel) { |
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if (surface.linear == Fermi2D::MemoryLayout::BlockLinear) { |
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return CalculateSize(true, bytes_per_pixel, surface.width, surface.height, |
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surface.depth, surface.block_height, surface.block_depth); |
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} |
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return static_cast<size_t>(surface.pitch * surface.height); |
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}; |
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const auto process_pitch_linear = [](bool unpack, std::span<const u8> input, |
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std::span<u8> output, u32 extent_x, u32 extent_y, |
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u32 pitch, u32 x0, u32 y0, size_t bpp) { |
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const size_t base_offset = x0 * bpp; |
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const size_t copy_size = extent_x * bpp; |
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for (u32 y = y0; y < extent_y; y++) { |
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const size_t first_offset = y * pitch + base_offset; |
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const size_t second_offset = y * extent_x * bpp; |
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u8* write_to = unpack ? &output[first_offset] : &output[second_offset]; |
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const u8* read_from = unpack ? &input[second_offset] : &input[first_offset]; |
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std::memcpy(write_to, read_from, copy_size); |
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} |
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}; |
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const u32 src_extent_x = config.src_x1 - config.src_x0; |
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const u32 src_extent_y = config.src_y1 - config.src_y0; |
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const u32 dst_extent_x = config.dst_x1 - config.dst_x0; |
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const u32 dst_extent_y = config.dst_y1 - config.dst_y0; |
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const auto src_bytes_per_pixel = BytesPerBlock(PixelFormatFromRenderTargetFormat(src.format)); |
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const auto dst_bytes_per_pixel = BytesPerBlock(PixelFormatFromRenderTargetFormat(dst.format)); |
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const size_t src_size = get_surface_size(src, src_bytes_per_pixel); |
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impl->tmp_buffer.resize(src_size); |
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memory_manager.ReadBlock(src.Address(), impl->tmp_buffer.data(), src_size); |
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const size_t src_copy_size = src_extent_x * src_extent_y * src_bytes_per_pixel; |
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const size_t dst_copy_size = dst_extent_x * dst_extent_y * dst_bytes_per_pixel; |
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impl->src_buffer.resize(src_copy_size); |
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const bool no_passthrough = |
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src.format != dst.format || src_extent_x != dst_extent_x || src_extent_y != dst_extent_y; |
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const auto convertion_phase_same_format = [&]() { |
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NearestNeighbor(impl->src_buffer, impl->dst_buffer, src_extent_x, src_extent_y, |
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dst_extent_x, dst_extent_y, dst_bytes_per_pixel); |
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}; |
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const auto convertion_phase_ir = [&]() { |
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auto* input_converter = impl->converter_factory.GetFormatConverter(src.format); |
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impl->intermediate_src.resize((src_copy_size / src_bytes_per_pixel) * ir_components); |
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impl->intermediate_dst.resize((dst_copy_size / dst_bytes_per_pixel) * ir_components); |
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input_converter->ConvertTo(impl->src_buffer, impl->intermediate_src); |
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if (config.filter != Fermi2D::Filter::Bilinear) { |
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NearestNeighborFast(impl->intermediate_src, impl->intermediate_dst, src_extent_x, |
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src_extent_y, dst_extent_x, dst_extent_y); |
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} else { |
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Bilinear(impl->intermediate_src, impl->intermediate_dst, src_extent_x, src_extent_y, |
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dst_extent_x, dst_extent_y); |
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} |
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auto* output_converter = impl->converter_factory.GetFormatConverter(dst.format); |
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output_converter->ConvertFrom(impl->intermediate_dst, impl->dst_buffer); |
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}; |
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// Do actuall Blit
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impl->dst_buffer.resize(dst_copy_size); |
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if (src.linear == Fermi2D::MemoryLayout::BlockLinear) { |
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UnswizzleSubrect(impl->src_buffer, impl->tmp_buffer, src_bytes_per_pixel, src.width, |
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src.height, src.depth, config.src_x0, config.src_y0, src_extent_x, |
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src_extent_y, src.block_height, src.block_depth, |
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src_extent_x * src_bytes_per_pixel); |
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} else { |
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process_pitch_linear(false, impl->tmp_buffer, impl->src_buffer, src_extent_x, src_extent_y, |
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src.pitch, config.src_x0, config.src_y0, src_bytes_per_pixel); |
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} |
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// Conversion Phase
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if (no_passthrough) { |
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if (src.format != dst.format || config.filter == Fermi2D::Filter::Bilinear) { |
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convertion_phase_ir(); |
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} else { |
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convertion_phase_same_format(); |
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} |
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} else { |
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impl->dst_buffer.swap(impl->src_buffer); |
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} |
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const size_t dst_size = get_surface_size(dst, dst_bytes_per_pixel); |
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impl->tmp_buffer.resize(dst_size); |
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memory_manager.ReadBlock(dst.Address(), impl->tmp_buffer.data(), dst_size); |
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if (dst.linear == Fermi2D::MemoryLayout::BlockLinear) { |
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SwizzleSubrect(impl->tmp_buffer, impl->dst_buffer, dst_bytes_per_pixel, dst.width, |
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dst.height, dst.depth, config.dst_x0, config.dst_y0, dst_extent_x, |
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dst_extent_y, dst.block_height, dst.block_depth, |
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dst_extent_x * dst_bytes_per_pixel); |
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} else { |
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process_pitch_linear(true, impl->dst_buffer, impl->tmp_buffer, dst_extent_x, dst_extent_y, |
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dst.pitch, config.dst_x0, config.dst_y0, |
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static_cast<size_t>(dst_bytes_per_pixel)); |
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} |
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memory_manager.WriteBlock(dst.Address(), impl->tmp_buffer.data(), dst_size); |
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return true; |
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} |
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} // namespace Tegra::Engines::Blitter
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@ -0,0 +1,27 @@ |
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// SPDX-FileCopyrightText: Copyright 2022 yuzu Emulator Project |
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// SPDX-License-Identifier: GPL-3.0-or-later |
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#pragma once |
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#include "video_core/engines/fermi_2d.h" |
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namespace Tegra { |
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class MemoryManager; |
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} |
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namespace Tegra::Engines::Blitter { |
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class SoftwareBlitEngine { |
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public: |
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explicit SoftwareBlitEngine(MemoryManager& memory_manager_); |
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~SoftwareBlitEngine(); |
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bool Blit(Fermi2D::Surface& src, Fermi2D::Surface& dst, Fermi2D::Config& copy_config); |
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private: |
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MemoryManager& memory_manager; |
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struct BlitEngineImpl; |
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std::unique_ptr<BlitEngineImpl> impl; |
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}; |
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} // namespace Tegra::Engines::Blitter |
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1234
src/video_core/engines/sw_blitter/converter.cpp
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// SPDX-FileCopyrightText: Copyright 2022 yuzu Emulator Project |
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// SPDX-License-Identifier: GPL-3.0-or-later |
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#pragma once |
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#include <memory> |
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#include <span> |
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#include "common/common_types.h" |
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#include "video_core/gpu.h" |
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namespace Tegra::Engines::Blitter { |
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class Converter { |
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public: |
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virtual void ConvertTo(std::span<const u8> input, std::span<f32> output) = 0; |
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virtual void ConvertFrom(std::span<const f32> input, std::span<u8> output) = 0; |
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virtual ~Converter() = default; |
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}; |
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class ConverterFactory { |
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public: |
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ConverterFactory(); |
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~ConverterFactory(); |
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Converter* GetFormatConverter(RenderTargetFormat format); |
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private: |
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Converter* BuildConverter(RenderTargetFormat format); |
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struct ConverterFactoryImpl; |
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std::unique_ptr<ConverterFactoryImpl> impl; |
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}; |
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} // namespace Tegra::Engines::Blitter |
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# SPDX-FileCopyrightText: Copyright 2022 yuzu Emulator Project |
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# SPDX-License-Identifier: GPL-3.0-or-later |
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import re |
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class Format: |
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def __init__(self, string_value): |
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self.name = string_value |
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tmp = string_value.split('_') |
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self.component_type = tmp[1] |
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component_data = re.findall(r"\w\d+", tmp[0]) |
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self.num_components = len(component_data) |
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sizes = [] |
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swizzle = [] |
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for data in component_data: |
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swizzle.append(data[0]) |
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sizes.append(int(data[1:])) |
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self.sizes = sizes |
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self.swizzle = swizzle |
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def build_component_type_array(self): |
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result = "{ " |
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b = False |
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for i in range(0, self.num_components): |
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if b: |
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result += ", " |
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b = True |
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result += "ComponentType::" + self.component_type |
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result += " }" |
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return result |
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def build_component_sizes_array(self): |
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result = "{ " |
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b = False |
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for i in range(0, self.num_components): |
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if b: |
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result += ", " |
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b = True |
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result += str(self.sizes[i]) |
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result += " }" |
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return result |
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def build_component_swizzle_array(self): |
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result = "{ " |
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b = False |
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for i in range(0, self.num_components): |
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if b: |
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result += ", " |
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b = True |
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swizzle = self.swizzle[i] |
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if swizzle == "X": |
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swizzle = "None" |
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result += "Swizzle::" + swizzle |
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result += " }" |
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return result |
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def print_declaration(self): |
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print("struct " + self.name + "Traits {") |
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print(" static constexpr size_t num_components = " + str(self.num_components) + ";") |
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print(" static constexpr std::array<ComponentType, num_components> component_types = " + self.build_component_type_array() + ";") |
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print(" static constexpr std::array<size_t, num_components> component_sizes = " + self.build_component_sizes_array() + ";") |
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print(" static constexpr std::array<Swizzle, num_components> component_swizzle = " + self.build_component_swizzle_array() + ";") |
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print("};\n") |
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def print_case(self): |
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print("case RenderTargetFormat::" + self.name + ":") |
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print(" return impl->converters_cache") |
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print(" .emplace(format, std::make_unique<ConverterImpl<" + self.name + "Traits>>())") |
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print(" .first->second.get();") |
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print(" break;") |
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txt = """ |
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R32G32B32A32_FLOAT |
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R32G32B32A32_SINT |
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R32G32B32A32_UINT |
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R32G32B32X32_FLOAT |
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R32G32B32X32_SINT |
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R32G32B32X32_UINT |
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R16G16B16A16_UNORM |
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R16G16B16A16_SNORM |
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R16G16B16A16_SINT |
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R16G16B16A16_UINT |
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R16G16B16A16_FLOAT |
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R32G32_FLOAT |
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R32G32_SINT |
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R32G32_UINT |
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R16G16B16X16_FLOAT |
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A8R8G8B8_UNORM |
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A8R8G8B8_SRGB |
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A2B10G10R10_UNORM |
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A2B10G10R10_UINT |
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A2R10G10B10_UNORM |
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A8B8G8R8_UNORM |
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A8B8G8R8_SRGB |
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A8B8G8R8_SNORM |
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A8B8G8R8_SINT |
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A8B8G8R8_UINT |
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R16G16_UNORM |
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R16G16_SNORM |
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R16G16_SINT |
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R16G16_UINT |
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R16G16_FLOAT |
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B10G11R11_FLOAT |
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R32_SINT |
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R32_UINT |
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R32_FLOAT |
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X8R8G8B8_UNORM |
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X8R8G8B8_SRGB |
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R5G6B5_UNORM |
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A1R5G5B5_UNORM |
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R8G8_UNORM |
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R8G8_SNORM |
|||
R8G8_SINT |
|||
R8G8_UINT |
|||
R16_UNORM |
|||
R16_SNORM |
|||
R16_SINT |
|||
R16_UINT |
|||
R16_FLOAT |
|||
R8_UNORM |
|||
R8_SNORM |
|||
R8_SINT |
|||
R8_UINT |
|||
X1R5G5B5_UNORM |
|||
X8B8G8R8_UNORM |
|||
X8B8G8R8_SRGB |
|||
""" |
|||
|
|||
x = txt.split() |
|||
y = list(map(lambda a: Format(a), x)) |
|||
formats = list(y) |
|||
for format in formats: |
|||
format.print_declaration() |
|||
|
|||
for format in formats: |
|||
format.print_case() |
|||
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