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astc: Enable parallel CPU astc decoding 

Given the issues with GPU accelerated ASTC decoding with NVIDIA's latest drivers, parallelize astc decoding on the CPU.
Uses half the available threads in the system for astc decoding.
This commit is contained in:
Morph 2022-09-01 21:29:22 -04:00
parent 4b07596b83
commit 809126c94a
1 changed files with 32 additions and 18 deletions
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50
src/video_core/textures/astc.cpp
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@ -13,7 +13,9 @@
#include <boost/container/static_vector.hpp>
#include "common/alignment.h"
#include "common/common_types.h"
#include "common/thread_worker.h"
#include "video_core/textures/astc.h"
class InputBitStream {
@ -1650,29 +1652,41 @@ static void DecompressBlock(std::span<const u8, 16> inBuf, const u32 blockWidth,
void Decompress(std::span<const uint8_t> data, uint32_t width, uint32_t height, uint32_t depth,
uint32_t block_width, uint32_t block_height, std::span<uint8_t> output) {
u32 block_index = 0;
std::size_t depth_offset = 0;
for (u32 z = 0; z < depth; z++) {
for (u32 y = 0; y < height; y += block_height) {
for (u32 x = 0; x < width; x += block_width) {
const std::span<const u8, 16> blockPtr{data.subspan(block_index * 16, 16)};
const u32 rows = Common::DivideUp(height, block_height);
const u32 cols = Common::DivideUp(width, block_width);
// Blocks can be at most 12x12
std::array<u32, 12 * 12> uncompData;
DecompressBlock(blockPtr, block_width, block_height, uncompData);
Common::ThreadWorker workers{std::max(std::thread::hardware_concurrency(), 2U) / 2,
"yuzu:ASTCDecompress"};
u32 decompWidth = std::min(block_width, width - x);
u32 decompHeight = std::min(block_height, height - y);
for (u32 z = 0; z < depth; ++z) {
const u32 depth_offset = z * height * width * 4;
for (u32 y_index = 0; y_index < rows; ++y_index) {
auto decompress_stride = [data, width, height, depth, block_width, block_height, output,
rows, cols, z, depth_offset, y_index] {
const u32 y = y_index * block_height;
for (u32 x_index = 0; x_index < cols; ++x_index) {
const u32 block_index = (z * rows * cols) + (y_index * cols) + x_index;
const u32 x = x_index * block_width;
const std::span<u8> outRow = output.subspan(depth_offset + (y * width + x) * 4);
for (u32 jj = 0; jj < decompHeight; jj++) {
std::memcpy(outRow.data() + jj * width * 4,
uncompData.data() + jj * block_width, decompWidth * 4);
const std::span<const u8, 16> blockPtr{data.subspan(block_index * 16, 16)};
// Blocks can be at most 12x12
std::array<u32, 12 * 12> uncompData;
DecompressBlock(blockPtr, block_width, block_height, uncompData);
u32 decompWidth = std::min(block_width, width - x);
u32 decompHeight = std::min(block_height, height - y);
const std::span<u8> outRow = output.subspan(depth_offset + (y * width + x) * 4);
for (u32 h = 0; h < decompHeight; ++h) {
std::memcpy(outRow.data() + h * width * 4,
uncompData.data() + h * block_width, decompWidth * 4);
}
}
++block_index;
}
};
workers.QueueWork(std::move(decompress_stride));
}
depth_offset += height * width * 4;
workers.WaitForRequests();
}
}