mirror of
https://github.com/yuzu-emu/yuzu.git
synced 2024-11-16 05:50:04 +00:00
52e9d7fa49
This commit removes early placeholders for an implementation of async nvdec. With recent changes to the source code, the placeholders are no longer accurate, and can cause a nullptr dereference due to the nature of the cdma_pusher lifetime.
532 lines
17 KiB
C++
532 lines
17 KiB
C++
// Copyright 2018 yuzu Emulator Project
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// Licensed under GPLv2 or any later version
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// Refer to the license.txt file included.
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#include <chrono>
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#include "common/assert.h"
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#include "common/microprofile.h"
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#include "core/core.h"
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#include "core/core_timing.h"
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#include "core/core_timing_util.h"
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#include "core/frontend/emu_window.h"
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#include "core/hardware_interrupt_manager.h"
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#include "core/memory.h"
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#include "core/settings.h"
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#include "video_core/engines/fermi_2d.h"
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#include "video_core/engines/kepler_compute.h"
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#include "video_core/engines/kepler_memory.h"
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#include "video_core/engines/maxwell_3d.h"
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#include "video_core/engines/maxwell_dma.h"
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#include "video_core/gpu.h"
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#include "video_core/memory_manager.h"
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#include "video_core/renderer_base.h"
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#include "video_core/shader_notify.h"
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#include "video_core/video_core.h"
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namespace Tegra {
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MICROPROFILE_DEFINE(GPU_wait, "GPU", "Wait for the GPU", MP_RGB(128, 128, 192));
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GPU::GPU(Core::System& system_, bool is_async_, bool use_nvdec_)
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: system{system_}, memory_manager{std::make_unique<Tegra::MemoryManager>(system)},
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dma_pusher{std::make_unique<Tegra::DmaPusher>(system, *this)}, use_nvdec{use_nvdec_},
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maxwell_3d{std::make_unique<Engines::Maxwell3D>(system, *memory_manager)},
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fermi_2d{std::make_unique<Engines::Fermi2D>()},
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kepler_compute{std::make_unique<Engines::KeplerCompute>(system, *memory_manager)},
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maxwell_dma{std::make_unique<Engines::MaxwellDMA>(system, *memory_manager)},
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kepler_memory{std::make_unique<Engines::KeplerMemory>(system, *memory_manager)},
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shader_notify{std::make_unique<VideoCore::ShaderNotify>()}, is_async{is_async_},
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gpu_thread{system_, is_async_} {}
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GPU::~GPU() = default;
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void GPU::BindRenderer(std::unique_ptr<VideoCore::RendererBase> renderer_) {
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renderer = std::move(renderer_);
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rasterizer = renderer->ReadRasterizer();
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memory_manager->BindRasterizer(rasterizer);
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maxwell_3d->BindRasterizer(rasterizer);
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fermi_2d->BindRasterizer(rasterizer);
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kepler_compute->BindRasterizer(rasterizer);
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}
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Engines::Maxwell3D& GPU::Maxwell3D() {
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return *maxwell_3d;
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}
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const Engines::Maxwell3D& GPU::Maxwell3D() const {
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return *maxwell_3d;
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}
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Engines::KeplerCompute& GPU::KeplerCompute() {
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return *kepler_compute;
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}
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const Engines::KeplerCompute& GPU::KeplerCompute() const {
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return *kepler_compute;
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}
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MemoryManager& GPU::MemoryManager() {
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return *memory_manager;
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}
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const MemoryManager& GPU::MemoryManager() const {
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return *memory_manager;
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}
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DmaPusher& GPU::DmaPusher() {
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return *dma_pusher;
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}
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Tegra::CDmaPusher& GPU::CDmaPusher() {
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return *cdma_pusher;
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}
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const DmaPusher& GPU::DmaPusher() const {
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return *dma_pusher;
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}
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const Tegra::CDmaPusher& GPU::CDmaPusher() const {
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return *cdma_pusher;
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}
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void GPU::WaitFence(u32 syncpoint_id, u32 value) {
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// Synced GPU, is always in sync
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if (!is_async) {
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return;
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}
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if (syncpoint_id == UINT32_MAX) {
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// TODO: Research what this does.
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LOG_ERROR(HW_GPU, "Waiting for syncpoint -1 not implemented");
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return;
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}
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MICROPROFILE_SCOPE(GPU_wait);
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std::unique_lock lock{sync_mutex};
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sync_cv.wait(lock, [=, this] { return syncpoints.at(syncpoint_id).load() >= value; });
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}
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void GPU::IncrementSyncPoint(const u32 syncpoint_id) {
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auto& syncpoint = syncpoints.at(syncpoint_id);
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syncpoint++;
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std::lock_guard lock{sync_mutex};
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sync_cv.notify_all();
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auto& interrupt = syncpt_interrupts.at(syncpoint_id);
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if (!interrupt.empty()) {
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u32 value = syncpoint.load();
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auto it = interrupt.begin();
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while (it != interrupt.end()) {
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if (value >= *it) {
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TriggerCpuInterrupt(syncpoint_id, *it);
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it = interrupt.erase(it);
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continue;
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}
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it++;
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}
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}
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}
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u32 GPU::GetSyncpointValue(const u32 syncpoint_id) const {
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return syncpoints.at(syncpoint_id).load();
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}
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void GPU::RegisterSyncptInterrupt(const u32 syncpoint_id, const u32 value) {
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auto& interrupt = syncpt_interrupts.at(syncpoint_id);
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bool contains = std::any_of(interrupt.begin(), interrupt.end(),
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[value](u32 in_value) { return in_value == value; });
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if (contains) {
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return;
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}
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interrupt.emplace_back(value);
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}
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bool GPU::CancelSyncptInterrupt(const u32 syncpoint_id, const u32 value) {
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std::lock_guard lock{sync_mutex};
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auto& interrupt = syncpt_interrupts.at(syncpoint_id);
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const auto iter =
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std::find_if(interrupt.begin(), interrupt.end(),
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[value](u32 interrupt_value) { return value == interrupt_value; });
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if (iter == interrupt.end()) {
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return false;
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}
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interrupt.erase(iter);
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return true;
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}
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u64 GPU::RequestFlush(VAddr addr, std::size_t size) {
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std::unique_lock lck{flush_request_mutex};
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const u64 fence = ++last_flush_fence;
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flush_requests.emplace_back(fence, addr, size);
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return fence;
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}
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void GPU::TickWork() {
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std::unique_lock lck{flush_request_mutex};
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while (!flush_requests.empty()) {
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auto& request = flush_requests.front();
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const u64 fence = request.fence;
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const VAddr addr = request.addr;
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const std::size_t size = request.size;
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flush_requests.pop_front();
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flush_request_mutex.unlock();
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rasterizer->FlushRegion(addr, size);
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current_flush_fence.store(fence);
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flush_request_mutex.lock();
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}
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}
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u64 GPU::GetTicks() const {
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// This values were reversed engineered by fincs from NVN
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// The gpu clock is reported in units of 385/625 nanoseconds
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constexpr u64 gpu_ticks_num = 384;
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constexpr u64 gpu_ticks_den = 625;
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u64 nanoseconds = system.CoreTiming().GetGlobalTimeNs().count();
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if (Settings::values.use_fast_gpu_time.GetValue()) {
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nanoseconds /= 256;
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}
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const u64 nanoseconds_num = nanoseconds / gpu_ticks_den;
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const u64 nanoseconds_rem = nanoseconds % gpu_ticks_den;
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return nanoseconds_num * gpu_ticks_num + (nanoseconds_rem * gpu_ticks_num) / gpu_ticks_den;
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}
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void GPU::FlushCommands() {
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rasterizer->FlushCommands();
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}
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void GPU::SyncGuestHost() {
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rasterizer->SyncGuestHost();
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}
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enum class GpuSemaphoreOperation {
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AcquireEqual = 0x1,
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WriteLong = 0x2,
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AcquireGequal = 0x4,
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AcquireMask = 0x8,
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};
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void GPU::CallMethod(const MethodCall& method_call) {
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LOG_TRACE(HW_GPU, "Processing method {:08X} on subchannel {}", method_call.method,
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method_call.subchannel);
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ASSERT(method_call.subchannel < bound_engines.size());
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if (ExecuteMethodOnEngine(method_call.method)) {
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CallEngineMethod(method_call);
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} else {
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CallPullerMethod(method_call);
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}
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}
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void GPU::CallMultiMethod(u32 method, u32 subchannel, const u32* base_start, u32 amount,
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u32 methods_pending) {
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LOG_TRACE(HW_GPU, "Processing method {:08X} on subchannel {}", method, subchannel);
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ASSERT(subchannel < bound_engines.size());
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if (ExecuteMethodOnEngine(method)) {
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CallEngineMultiMethod(method, subchannel, base_start, amount, methods_pending);
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} else {
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for (std::size_t i = 0; i < amount; i++) {
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CallPullerMethod(MethodCall{
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method,
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base_start[i],
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subchannel,
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methods_pending - static_cast<u32>(i),
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});
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}
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}
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}
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bool GPU::ExecuteMethodOnEngine(u32 method) {
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const auto buffer_method = static_cast<BufferMethods>(method);
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return buffer_method >= BufferMethods::NonPullerMethods;
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}
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void GPU::CallPullerMethod(const MethodCall& method_call) {
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regs.reg_array[method_call.method] = method_call.argument;
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const auto method = static_cast<BufferMethods>(method_call.method);
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switch (method) {
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case BufferMethods::BindObject: {
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ProcessBindMethod(method_call);
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break;
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}
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case BufferMethods::Nop:
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case BufferMethods::SemaphoreAddressHigh:
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case BufferMethods::SemaphoreAddressLow:
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case BufferMethods::SemaphoreSequence:
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case BufferMethods::RefCnt:
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case BufferMethods::UnkCacheFlush:
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case BufferMethods::WrcacheFlush:
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case BufferMethods::FenceValue:
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break;
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case BufferMethods::FenceAction:
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ProcessFenceActionMethod();
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break;
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case BufferMethods::WaitForInterrupt:
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ProcessWaitForInterruptMethod();
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break;
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case BufferMethods::SemaphoreTrigger: {
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ProcessSemaphoreTriggerMethod();
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break;
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}
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case BufferMethods::NotifyIntr: {
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// TODO(Kmather73): Research and implement this method.
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LOG_ERROR(HW_GPU, "Special puller engine method NotifyIntr not implemented");
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break;
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}
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case BufferMethods::Unk28: {
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// TODO(Kmather73): Research and implement this method.
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LOG_ERROR(HW_GPU, "Special puller engine method Unk28 not implemented");
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break;
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}
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case BufferMethods::SemaphoreAcquire: {
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ProcessSemaphoreAcquire();
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break;
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}
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case BufferMethods::SemaphoreRelease: {
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ProcessSemaphoreRelease();
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break;
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}
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case BufferMethods::Yield: {
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// TODO(Kmather73): Research and implement this method.
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LOG_ERROR(HW_GPU, "Special puller engine method Yield not implemented");
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break;
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}
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default:
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LOG_ERROR(HW_GPU, "Special puller engine method {:X} not implemented", method);
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break;
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}
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}
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void GPU::CallEngineMethod(const MethodCall& method_call) {
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const EngineID engine = bound_engines[method_call.subchannel];
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switch (engine) {
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case EngineID::FERMI_TWOD_A:
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fermi_2d->CallMethod(method_call.method, method_call.argument, method_call.IsLastCall());
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break;
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case EngineID::MAXWELL_B:
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maxwell_3d->CallMethod(method_call.method, method_call.argument, method_call.IsLastCall());
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break;
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case EngineID::KEPLER_COMPUTE_B:
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kepler_compute->CallMethod(method_call.method, method_call.argument,
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method_call.IsLastCall());
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break;
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case EngineID::MAXWELL_DMA_COPY_A:
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maxwell_dma->CallMethod(method_call.method, method_call.argument, method_call.IsLastCall());
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break;
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case EngineID::KEPLER_INLINE_TO_MEMORY_B:
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kepler_memory->CallMethod(method_call.method, method_call.argument,
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method_call.IsLastCall());
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break;
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default:
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UNIMPLEMENTED_MSG("Unimplemented engine");
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}
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}
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void GPU::CallEngineMultiMethod(u32 method, u32 subchannel, const u32* base_start, u32 amount,
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u32 methods_pending) {
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const EngineID engine = bound_engines[subchannel];
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switch (engine) {
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case EngineID::FERMI_TWOD_A:
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fermi_2d->CallMultiMethod(method, base_start, amount, methods_pending);
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break;
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case EngineID::MAXWELL_B:
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maxwell_3d->CallMultiMethod(method, base_start, amount, methods_pending);
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break;
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case EngineID::KEPLER_COMPUTE_B:
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kepler_compute->CallMultiMethod(method, base_start, amount, methods_pending);
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break;
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case EngineID::MAXWELL_DMA_COPY_A:
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maxwell_dma->CallMultiMethod(method, base_start, amount, methods_pending);
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break;
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case EngineID::KEPLER_INLINE_TO_MEMORY_B:
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kepler_memory->CallMultiMethod(method, base_start, amount, methods_pending);
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break;
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default:
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UNIMPLEMENTED_MSG("Unimplemented engine");
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}
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}
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void GPU::ProcessBindMethod(const MethodCall& method_call) {
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// Bind the current subchannel to the desired engine id.
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LOG_DEBUG(HW_GPU, "Binding subchannel {} to engine {}", method_call.subchannel,
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method_call.argument);
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const auto engine_id = static_cast<EngineID>(method_call.argument);
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bound_engines[method_call.subchannel] = static_cast<EngineID>(engine_id);
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switch (engine_id) {
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case EngineID::FERMI_TWOD_A:
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dma_pusher->BindSubchannel(fermi_2d.get(), method_call.subchannel);
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break;
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case EngineID::MAXWELL_B:
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dma_pusher->BindSubchannel(maxwell_3d.get(), method_call.subchannel);
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break;
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case EngineID::KEPLER_COMPUTE_B:
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dma_pusher->BindSubchannel(kepler_compute.get(), method_call.subchannel);
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break;
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case EngineID::MAXWELL_DMA_COPY_A:
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dma_pusher->BindSubchannel(maxwell_dma.get(), method_call.subchannel);
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break;
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case EngineID::KEPLER_INLINE_TO_MEMORY_B:
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dma_pusher->BindSubchannel(kepler_memory.get(), method_call.subchannel);
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break;
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default:
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UNIMPLEMENTED_MSG("Unimplemented engine {:04X}", engine_id);
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}
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}
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void GPU::ProcessFenceActionMethod() {
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switch (regs.fence_action.op) {
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case FenceOperation::Acquire:
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WaitFence(regs.fence_action.syncpoint_id, regs.fence_value);
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break;
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case FenceOperation::Increment:
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IncrementSyncPoint(regs.fence_action.syncpoint_id);
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break;
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default:
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UNIMPLEMENTED_MSG("Unimplemented operation {}", regs.fence_action.op.Value());
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}
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}
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void GPU::ProcessWaitForInterruptMethod() {
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// TODO(bunnei) ImplementMe
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LOG_WARNING(HW_GPU, "(STUBBED) called");
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}
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void GPU::ProcessSemaphoreTriggerMethod() {
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const auto semaphoreOperationMask = 0xF;
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const auto op =
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static_cast<GpuSemaphoreOperation>(regs.semaphore_trigger & semaphoreOperationMask);
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if (op == GpuSemaphoreOperation::WriteLong) {
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struct Block {
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u32 sequence;
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u32 zeros = 0;
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u64 timestamp;
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};
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Block block{};
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block.sequence = regs.semaphore_sequence;
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// TODO(Kmather73): Generate a real GPU timestamp and write it here instead of
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// CoreTiming
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block.timestamp = GetTicks();
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memory_manager->WriteBlock(regs.semaphore_address.SemaphoreAddress(), &block,
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sizeof(block));
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} else {
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const u32 word{memory_manager->Read<u32>(regs.semaphore_address.SemaphoreAddress())};
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if ((op == GpuSemaphoreOperation::AcquireEqual && word == regs.semaphore_sequence) ||
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(op == GpuSemaphoreOperation::AcquireGequal &&
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static_cast<s32>(word - regs.semaphore_sequence) > 0) ||
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(op == GpuSemaphoreOperation::AcquireMask && (word & regs.semaphore_sequence))) {
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// Nothing to do in this case
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} else {
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regs.acquire_source = true;
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regs.acquire_value = regs.semaphore_sequence;
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if (op == GpuSemaphoreOperation::AcquireEqual) {
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regs.acquire_active = true;
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regs.acquire_mode = false;
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} else if (op == GpuSemaphoreOperation::AcquireGequal) {
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regs.acquire_active = true;
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regs.acquire_mode = true;
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} else if (op == GpuSemaphoreOperation::AcquireMask) {
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// TODO(kemathe) The acquire mask operation waits for a value that, ANDed with
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// semaphore_sequence, gives a non-0 result
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LOG_ERROR(HW_GPU, "Invalid semaphore operation AcquireMask not implemented");
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} else {
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LOG_ERROR(HW_GPU, "Invalid semaphore operation");
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}
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}
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}
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}
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void GPU::ProcessSemaphoreRelease() {
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memory_manager->Write<u32>(regs.semaphore_address.SemaphoreAddress(), regs.semaphore_release);
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}
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void GPU::ProcessSemaphoreAcquire() {
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const u32 word = memory_manager->Read<u32>(regs.semaphore_address.SemaphoreAddress());
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const auto value = regs.semaphore_acquire;
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if (word != value) {
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regs.acquire_active = true;
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regs.acquire_value = value;
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// TODO(kemathe73) figure out how to do the acquire_timeout
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regs.acquire_mode = false;
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regs.acquire_source = false;
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}
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}
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void GPU::Start() {
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gpu_thread.StartThread(*renderer, renderer->Context(), *dma_pusher);
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cpu_context = renderer->GetRenderWindow().CreateSharedContext();
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cpu_context->MakeCurrent();
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}
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void GPU::ObtainContext() {
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cpu_context->MakeCurrent();
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}
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void GPU::ReleaseContext() {
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cpu_context->DoneCurrent();
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}
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void GPU::PushGPUEntries(Tegra::CommandList&& entries) {
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gpu_thread.SubmitList(std::move(entries));
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}
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void GPU::PushCommandBuffer(Tegra::ChCommandHeaderList& entries) {
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if (!use_nvdec) {
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|
return;
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}
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// This condition fires when a video stream ends, clear all intermediary data
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|
if (entries[0].raw == 0xDEADB33F) {
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cdma_pusher.reset();
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|
return;
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}
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if (!cdma_pusher) {
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|
cdma_pusher = std::make_unique<Tegra::CDmaPusher>(*this);
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}
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|
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// SubmitCommandBuffer would make the nvdec operations async, this is not currently working
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|
// TODO(ameerj): RE proper async nvdec operation
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|
// gpu_thread.SubmitCommandBuffer(std::move(entries));
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|
|
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cdma_pusher->ProcessEntries(std::move(entries));
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}
|
|
|
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void GPU::SwapBuffers(const Tegra::FramebufferConfig* framebuffer) {
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|
gpu_thread.SwapBuffers(framebuffer);
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|
}
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|
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void GPU::FlushRegion(VAddr addr, u64 size) {
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|
gpu_thread.FlushRegion(addr, size);
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|
}
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|
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void GPU::InvalidateRegion(VAddr addr, u64 size) {
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|
gpu_thread.InvalidateRegion(addr, size);
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|
}
|
|
|
|
void GPU::FlushAndInvalidateRegion(VAddr addr, u64 size) {
|
|
gpu_thread.FlushAndInvalidateRegion(addr, size);
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|
}
|
|
|
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void GPU::TriggerCpuInterrupt(const u32 syncpoint_id, const u32 value) const {
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|
auto& interrupt_manager = system.InterruptManager();
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|
interrupt_manager.GPUInterruptSyncpt(syncpoint_id, value);
|
|
}
|
|
|
|
void GPU::WaitIdle() const {
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|
gpu_thread.WaitIdle();
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|
}
|
|
|
|
void GPU::OnCommandListEnd() {
|
|
if (is_async) {
|
|
// This command only applies to asynchronous GPU mode
|
|
gpu_thread.OnCommandListEnd();
|
|
}
|
|
}
|
|
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} // namespace Tegra
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