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Author SHA1 Message Date
PavelBARABANOV 95b8c38b39 [buffer_cashe] use old logic when Optimized Vertex Buffers is disabled 2026-10-13 22:05:58 +03:00
+55 -27
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@@ -1738,36 +1738,64 @@ void BufferCache<P>::TouchBuffer(Buffer& buffer, BufferId buffer_id) noexcept {
template <class P>
bool BufferCache<P>::SynchronizeBuffer(Buffer& buffer, DAddr device_addr, u32 size) {
upload_copies.clear();
u64 total_size_bytes = 0;
u64 largest_copy = 0;
const DAddr buffer_start = buffer.cpu_addr_cached;
const auto add_upload = [&](DAddr start, DAddr end) {
if (start == end) return;
const u64 range_size = end - start;
upload_copies.push_back(BufferCopy{
.src_offset = total_size_bytes,
.dst_offset = start - buffer_start,
.size = range_size,
#ifdef __ANDROID__
const bool use_optimized_vertex_buffers = Settings::values.use_optimized_vertex_buffers.GetValue();
#else
constexpr bool use_optimized_vertex_buffers = true;
#endif
if (use_optimized_vertex_buffers) {
upload_copies.clear();
u64 total_size_bytes = 0;
u64 largest_copy = 0;
const DAddr buffer_start = buffer.cpu_addr_cached;
const auto add_upload = [&](DAddr start, DAddr end) {
if (start == end) return;
const u64 range_size = end - start;
upload_copies.push_back(BufferCopy{
.src_offset = total_size_bytes,
.dst_offset = start - buffer_start,
.size = range_size,
});
total_size_bytes += range_size;
largest_copy = (std::max)(largest_copy, range_size);
};
memory_tracker.ForEachUploadRange(device_addr, size, [&](u64 device_addr_out, u64 range_size) {
DAddr upload_start = device_addr_out;
gpu_modified_ranges.ForEachInRange(device_addr_out, range_size, [&](DAddr gpu_start, DAddr gpu_end) {
add_upload(upload_start, gpu_start);
upload_start = gpu_end;
});
add_upload(upload_start, device_addr_out + range_size);
});
total_size_bytes += range_size;
largest_copy = (std::max)(largest_copy, range_size);
};
memory_tracker.ForEachUploadRange(device_addr, size, [&](u64 device_addr_out, u64 range_size) {
DAddr upload_start = device_addr_out;
gpu_modified_ranges.ForEachInRange(device_addr_out, range_size, [&](DAddr gpu_start, DAddr gpu_end) {
add_upload(upload_start, gpu_start);
upload_start = gpu_end;
if (total_size_bytes == 0) {
return true;
}
const std::span<BufferCopy> copies_span(upload_copies.data(), upload_copies.size());
UploadMemory(buffer, total_size_bytes, largest_copy, copies_span);
any_buffer_uploaded = true;
return false;
} else {
boost::container::small_vector<BufferCopy, 4> copies;
u64 total_size_bytes = 0;
u64 largest_copy = 0;
DAddr buffer_start = buffer.CpuAddr();
memory_tracker.ForEachUploadRange(device_addr, size, [&](u64 device_addr_out, u64 range_size) {
copies.push_back(BufferCopy{
.src_offset = total_size_bytes,
.dst_offset = device_addr_out - buffer_start,
.size = range_size,
});
total_size_bytes += range_size;
largest_copy = (std::max)(largest_copy, range_size);
});
add_upload(upload_start, device_addr_out + range_size);
});
if (total_size_bytes == 0) {
return true;
if (total_size_bytes == 0) {
return true;
}
const std::span<BufferCopy> copies_span(copies.data(), copies.size());
UploadMemory(buffer, total_size_bytes, largest_copy, copies_span);
return false;
}
const std::span<BufferCopy> copies_span(upload_copies.data(), upload_copies.size());
UploadMemory(buffer, total_size_bytes, largest_copy, copies_span);
any_buffer_uploaded = true;
return false;
}
template <class P>