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yuzu-android/src/video_core/gpu.cpp

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// Copyright 2018 yuzu Emulator Project
// Licensed under GPLv2 or any later version
// Refer to the license.txt file included.
#include <chrono>
#include "common/assert.h"
#include "common/microprofile.h"
#include "core/core.h"
#include "core/core_timing.h"
#include "core/core_timing_util.h"
#include "core/frontend/emu_window.h"
#include "core/memory.h"
#include "core/settings.h"
#include "video_core/engines/fermi_2d.h"
#include "video_core/engines/kepler_compute.h"
#include "video_core/engines/kepler_memory.h"
#include "video_core/engines/maxwell_3d.h"
#include "video_core/engines/maxwell_dma.h"
#include "video_core/gpu.h"
#include "video_core/memory_manager.h"
#include "video_core/renderer_base.h"
#include "video_core/shader_notify.h"
#include "video_core/video_core.h"
namespace Tegra {
MICROPROFILE_DEFINE(GPU_wait, "GPU", "Wait for the GPU", MP_RGB(128, 128, 192));
GPU::GPU(Core::System& system_, bool is_async_, bool use_nvdec_)
: system{system_}, memory_manager{std::make_unique<Tegra::MemoryManager>(system)},
dma_pusher{std::make_unique<Tegra::DmaPusher>(system, *this)},
cdma_pusher{std::make_unique<Tegra::CDmaPusher>(*this)}, use_nvdec{use_nvdec_},
maxwell_3d{std::make_unique<Engines::Maxwell3D>(system, *memory_manager)},
fermi_2d{std::make_unique<Engines::Fermi2D>()},
kepler_compute{std::make_unique<Engines::KeplerCompute>(system, *memory_manager)},
maxwell_dma{std::make_unique<Engines::MaxwellDMA>(system, *memory_manager)},
kepler_memory{std::make_unique<Engines::KeplerMemory>(system, *memory_manager)},
shader_notify{std::make_unique<VideoCore::ShaderNotify>()}, is_async{is_async_} {}
GPU::~GPU() = default;
void GPU::BindRenderer(std::unique_ptr<VideoCore::RendererBase> renderer_) {
renderer = std::move(renderer_);
VideoCore::RasterizerInterface& rasterizer = renderer->Rasterizer();
memory_manager->BindRasterizer(rasterizer);
maxwell_3d->BindRasterizer(rasterizer);
fermi_2d->BindRasterizer(rasterizer);
kepler_compute->BindRasterizer(rasterizer);
}
Engines::Maxwell3D& GPU::Maxwell3D() {
return *maxwell_3d;
}
const Engines::Maxwell3D& GPU::Maxwell3D() const {
return *maxwell_3d;
}
Engines::KeplerCompute& GPU::KeplerCompute() {
return *kepler_compute;
}
const Engines::KeplerCompute& GPU::KeplerCompute() const {
return *kepler_compute;
}
MemoryManager& GPU::MemoryManager() {
return *memory_manager;
}
const MemoryManager& GPU::MemoryManager() const {
return *memory_manager;
}
DmaPusher& GPU::DmaPusher() {
return *dma_pusher;
}
Tegra::CDmaPusher& GPU::CDmaPusher() {
return *cdma_pusher;
}
const DmaPusher& GPU::DmaPusher() const {
return *dma_pusher;
}
const Tegra::CDmaPusher& GPU::CDmaPusher() const {
return *cdma_pusher;
}
void GPU::WaitFence(u32 syncpoint_id, u32 value) {
// Synced GPU, is always in sync
if (!is_async) {
return;
}
MICROPROFILE_SCOPE(GPU_wait);
std::unique_lock lock{sync_mutex};
sync_cv.wait(lock, [=, this] { return syncpoints[syncpoint_id].load() >= value; });
}
void GPU::IncrementSyncPoint(const u32 syncpoint_id) {
syncpoints[syncpoint_id]++;
std::lock_guard lock{sync_mutex};
sync_cv.notify_all();
if (!syncpt_interrupts[syncpoint_id].empty()) {
u32 value = syncpoints[syncpoint_id].load();
auto it = syncpt_interrupts[syncpoint_id].begin();
while (it != syncpt_interrupts[syncpoint_id].end()) {
if (value >= *it) {
TriggerCpuInterrupt(syncpoint_id, *it);
it = syncpt_interrupts[syncpoint_id].erase(it);
continue;
}
it++;
}
}
}
u32 GPU::GetSyncpointValue(const u32 syncpoint_id) const {
return syncpoints[syncpoint_id].load();
}
void GPU::RegisterSyncptInterrupt(const u32 syncpoint_id, const u32 value) {
auto& interrupt = syncpt_interrupts[syncpoint_id];
bool contains = std::any_of(interrupt.begin(), interrupt.end(),
[value](u32 in_value) { return in_value == value; });
if (contains) {
return;
}
syncpt_interrupts[syncpoint_id].emplace_back(value);
}
bool GPU::CancelSyncptInterrupt(const u32 syncpoint_id, const u32 value) {
std::lock_guard lock{sync_mutex};
auto& interrupt = syncpt_interrupts[syncpoint_id];
const auto iter =
std::find_if(interrupt.begin(), interrupt.end(),
[value](u32 interrupt_value) { return value == interrupt_value; });
if (iter == interrupt.end()) {
return false;
}
interrupt.erase(iter);
return true;
}
u64 GPU::RequestFlush(VAddr addr, std::size_t size) {
std::unique_lock lck{flush_request_mutex};
const u64 fence = ++last_flush_fence;
flush_requests.emplace_back(fence, addr, size);
return fence;
}
void GPU::TickWork() {
std::unique_lock lck{flush_request_mutex};
while (!flush_requests.empty()) {
auto& request = flush_requests.front();
const u64 fence = request.fence;
const VAddr addr = request.addr;
const std::size_t size = request.size;
flush_requests.pop_front();
flush_request_mutex.unlock();
renderer->Rasterizer().FlushRegion(addr, size);
current_flush_fence.store(fence);
flush_request_mutex.lock();
}
}
u64 GPU::GetTicks() const {
// This values were reversed engineered by fincs from NVN
// The gpu clock is reported in units of 385/625 nanoseconds
constexpr u64 gpu_ticks_num = 384;
constexpr u64 gpu_ticks_den = 625;
u64 nanoseconds = system.CoreTiming().GetGlobalTimeNs().count();
if (Settings::values.use_fast_gpu_time.GetValue()) {
nanoseconds /= 256;
}
const u64 nanoseconds_num = nanoseconds / gpu_ticks_den;
const u64 nanoseconds_rem = nanoseconds % gpu_ticks_den;
return nanoseconds_num * gpu_ticks_num + (nanoseconds_rem * gpu_ticks_num) / gpu_ticks_den;
}
void GPU::FlushCommands() {
renderer->Rasterizer().FlushCommands();
}
void GPU::SyncGuestHost() {
renderer->Rasterizer().SyncGuestHost();
}
void GPU::OnCommandListEnd() {
renderer->Rasterizer().ReleaseFences();
}
enum class GpuSemaphoreOperation {
AcquireEqual = 0x1,
WriteLong = 0x2,
AcquireGequal = 0x4,
AcquireMask = 0x8,
};
void GPU::CallMethod(const MethodCall& method_call) {
LOG_TRACE(HW_GPU, "Processing method {:08X} on subchannel {}", method_call.method,
method_call.subchannel);
ASSERT(method_call.subchannel < bound_engines.size());
if (ExecuteMethodOnEngine(method_call.method)) {
CallEngineMethod(method_call);
} else {
CallPullerMethod(method_call);
}
}
void GPU::CallMultiMethod(u32 method, u32 subchannel, const u32* base_start, u32 amount,
u32 methods_pending) {
LOG_TRACE(HW_GPU, "Processing method {:08X} on subchannel {}", method, subchannel);
ASSERT(subchannel < bound_engines.size());
if (ExecuteMethodOnEngine(method)) {
CallEngineMultiMethod(method, subchannel, base_start, amount, methods_pending);
} else {
for (std::size_t i = 0; i < amount; i++) {
CallPullerMethod(
{method, base_start[i], subchannel, methods_pending - static_cast<u32>(i)});
}
}
}
bool GPU::ExecuteMethodOnEngine(u32 method) {
const auto buffer_method = static_cast<BufferMethods>(method);
return buffer_method >= BufferMethods::NonPullerMethods;
}
void GPU::CallPullerMethod(const MethodCall& method_call) {
regs.reg_array[method_call.method] = method_call.argument;
const auto method = static_cast<BufferMethods>(method_call.method);
switch (method) {
case BufferMethods::BindObject: {
ProcessBindMethod(method_call);
break;
}
case BufferMethods::Nop:
case BufferMethods::SemaphoreAddressHigh:
case BufferMethods::SemaphoreAddressLow:
case BufferMethods::SemaphoreSequence:
case BufferMethods::RefCnt:
case BufferMethods::UnkCacheFlush:
case BufferMethods::WrcacheFlush:
case BufferMethods::FenceValue:
break;
case BufferMethods::FenceAction:
ProcessFenceActionMethod();
break;
case BufferMethods::WaitForInterrupt:
ProcessWaitForInterruptMethod();
break;
case BufferMethods::SemaphoreTrigger: {
ProcessSemaphoreTriggerMethod();
break;
}
case BufferMethods::NotifyIntr: {
// TODO(Kmather73): Research and implement this method.
LOG_ERROR(HW_GPU, "Special puller engine method NotifyIntr not implemented");
break;
}
case BufferMethods::Unk28: {
// TODO(Kmather73): Research and implement this method.
LOG_ERROR(HW_GPU, "Special puller engine method Unk28 not implemented");
break;
}
case BufferMethods::SemaphoreAcquire: {
ProcessSemaphoreAcquire();
break;
}
case BufferMethods::SemaphoreRelease: {
ProcessSemaphoreRelease();
break;
}
case BufferMethods::Yield: {
// TODO(Kmather73): Research and implement this method.
LOG_ERROR(HW_GPU, "Special puller engine method Yield not implemented");
break;
}
default:
LOG_ERROR(HW_GPU, "Special puller engine method {:X} not implemented",
static_cast<u32>(method));
break;
}
}
void GPU::CallEngineMethod(const MethodCall& method_call) {
const EngineID engine = bound_engines[method_call.subchannel];
switch (engine) {
case EngineID::FERMI_TWOD_A:
fermi_2d->CallMethod(method_call.method, method_call.argument, method_call.IsLastCall());
break;
case EngineID::MAXWELL_B:
maxwell_3d->CallMethod(method_call.method, method_call.argument, method_call.IsLastCall());
break;
case EngineID::KEPLER_COMPUTE_B:
kepler_compute->CallMethod(method_call.method, method_call.argument,
method_call.IsLastCall());
break;
case EngineID::MAXWELL_DMA_COPY_A:
maxwell_dma->CallMethod(method_call.method, method_call.argument, method_call.IsLastCall());
break;
case EngineID::KEPLER_INLINE_TO_MEMORY_B:
kepler_memory->CallMethod(method_call.method, method_call.argument,
method_call.IsLastCall());
break;
default:
UNIMPLEMENTED_MSG("Unimplemented engine");
}
}
void GPU::CallEngineMultiMethod(u32 method, u32 subchannel, const u32* base_start, u32 amount,
u32 methods_pending) {
const EngineID engine = bound_engines[subchannel];
switch (engine) {
case EngineID::FERMI_TWOD_A:
fermi_2d->CallMultiMethod(method, base_start, amount, methods_pending);
break;
case EngineID::MAXWELL_B:
maxwell_3d->CallMultiMethod(method, base_start, amount, methods_pending);
break;
case EngineID::KEPLER_COMPUTE_B:
kepler_compute->CallMultiMethod(method, base_start, amount, methods_pending);
break;
case EngineID::MAXWELL_DMA_COPY_A:
maxwell_dma->CallMultiMethod(method, base_start, amount, methods_pending);
break;
case EngineID::KEPLER_INLINE_TO_MEMORY_B:
kepler_memory->CallMultiMethod(method, base_start, amount, methods_pending);
break;
default:
UNIMPLEMENTED_MSG("Unimplemented engine");
}
}
void GPU::ProcessBindMethod(const MethodCall& method_call) {
// Bind the current subchannel to the desired engine id.
LOG_DEBUG(HW_GPU, "Binding subchannel {} to engine {}", method_call.subchannel,
method_call.argument);
const auto engine_id = static_cast<EngineID>(method_call.argument);
bound_engines[method_call.subchannel] = static_cast<EngineID>(engine_id);
switch (engine_id) {
case EngineID::FERMI_TWOD_A:
dma_pusher->BindSubchannel(fermi_2d.get(), method_call.subchannel);
break;
case EngineID::MAXWELL_B:
dma_pusher->BindSubchannel(maxwell_3d.get(), method_call.subchannel);
break;
case EngineID::KEPLER_COMPUTE_B:
dma_pusher->BindSubchannel(kepler_compute.get(), method_call.subchannel);
break;
case EngineID::MAXWELL_DMA_COPY_A:
dma_pusher->BindSubchannel(maxwell_dma.get(), method_call.subchannel);
break;
case EngineID::KEPLER_INLINE_TO_MEMORY_B:
dma_pusher->BindSubchannel(kepler_memory.get(), method_call.subchannel);
break;
default:
UNIMPLEMENTED_MSG("Unimplemented engine {:04X}", static_cast<u32>(engine_id));
}
}
void GPU::ProcessFenceActionMethod() {
switch (regs.fence_action.op) {
case FenceOperation::Acquire:
WaitFence(regs.fence_action.syncpoint_id, regs.fence_value);
break;
case FenceOperation::Increment:
IncrementSyncPoint(regs.fence_action.syncpoint_id);
break;
default:
UNIMPLEMENTED_MSG("Unimplemented operation {}",
static_cast<u32>(regs.fence_action.op.Value()));
}
}
void GPU::ProcessWaitForInterruptMethod() {
// TODO(bunnei) ImplementMe
LOG_WARNING(HW_GPU, "(STUBBED) called");
}
void GPU::ProcessSemaphoreTriggerMethod() {
const auto semaphoreOperationMask = 0xF;
const auto op =
static_cast<GpuSemaphoreOperation>(regs.semaphore_trigger & semaphoreOperationMask);
if (op == GpuSemaphoreOperation::WriteLong) {
struct Block {
u32 sequence;
u32 zeros = 0;
u64 timestamp;
};
Block block{};
block.sequence = regs.semaphore_sequence;
// TODO(Kmather73): Generate a real GPU timestamp and write it here instead of
// CoreTiming
block.timestamp = GetTicks();
memory_manager->WriteBlock(regs.semaphore_address.SemaphoreAddress(), &block,
sizeof(block));
} else {
const u32 word{memory_manager->Read<u32>(regs.semaphore_address.SemaphoreAddress())};
if ((op == GpuSemaphoreOperation::AcquireEqual && word == regs.semaphore_sequence) ||
(op == GpuSemaphoreOperation::AcquireGequal &&
static_cast<s32>(word - regs.semaphore_sequence) > 0) ||
(op == GpuSemaphoreOperation::AcquireMask && (word & regs.semaphore_sequence))) {
// Nothing to do in this case
} else {
regs.acquire_source = true;
regs.acquire_value = regs.semaphore_sequence;
if (op == GpuSemaphoreOperation::AcquireEqual) {
regs.acquire_active = true;
regs.acquire_mode = false;
} else if (op == GpuSemaphoreOperation::AcquireGequal) {
regs.acquire_active = true;
regs.acquire_mode = true;
} else if (op == GpuSemaphoreOperation::AcquireMask) {
// TODO(kemathe) The acquire mask operation waits for a value that, ANDed with
// semaphore_sequence, gives a non-0 result
LOG_ERROR(HW_GPU, "Invalid semaphore operation AcquireMask not implemented");
} else {
LOG_ERROR(HW_GPU, "Invalid semaphore operation");
}
}
}
}
void GPU::ProcessSemaphoreRelease() {
memory_manager->Write<u32>(regs.semaphore_address.SemaphoreAddress(), regs.semaphore_release);
}
void GPU::ProcessSemaphoreAcquire() {
const u32 word = memory_manager->Read<u32>(regs.semaphore_address.SemaphoreAddress());
const auto value = regs.semaphore_acquire;
if (word != value) {
regs.acquire_active = true;
regs.acquire_value = value;
// TODO(kemathe73) figure out how to do the acquire_timeout
regs.acquire_mode = false;
regs.acquire_source = false;
}
}
} // namespace Tegra
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