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#pragma once
#include <c10/core/impl/DeviceGuardImplInterface.h>
#include <c10/core/impl/GPUTrace.h>
#include <c10/macros/Macros.h>
#include <c10/util/Exception.h>
#include <c10/cuda/CUDACachingAllocator.h>
#include <c10/cuda/CUDAException.h>
#include <c10/cuda/CUDAFunctions.h>
#include <c10/cuda/CUDAStream.h>
#include <c10/core/Device.h>
#include <c10/core/DeviceType.h>
#include <c10/core/Stream.h>
#include <c10/core/impl/PyInterpreter.h>
#include <cuda_runtime_api.h>
#include <cstdint>
#include <optional>
namespace c10::cuda::impl {
struct CUDAGuardImpl final : public c10::impl::DeviceGuardImplInterface {
static constexpr DeviceType static_type = DeviceType::CUDA;
CUDAGuardImpl() = default;
explicit CUDAGuardImpl(DeviceType t) {
TORCH_INTERNAL_ASSERT(t == DeviceType::CUDA);
}
DeviceType type() const override {
return DeviceType::CUDA;
}
Device exchangeDevice(Device d) const override {
TORCH_INTERNAL_ASSERT(d.is_cuda());
auto old_device_index = c10::cuda::ExchangeDevice(d.index());
return Device(DeviceType::CUDA, old_device_index);
}
Device getDevice() const override {
DeviceIndex device = 0;
C10_CUDA_CHECK(c10::cuda::GetDevice(&device));
return Device(DeviceType::CUDA, device);
}
std::optional<Device> uncheckedGetDevice() const noexcept {
DeviceIndex device{-1};
const auto err = C10_CUDA_ERROR_HANDLED(c10::cuda::GetDevice(&device));
C10_CUDA_CHECK_WARN(err);
if (err != cudaSuccess) {
return std::nullopt;
}
return Device(DeviceType::CUDA, device);
}
void setDevice(Device d) const override {
TORCH_INTERNAL_ASSERT(d.is_cuda());
C10_CUDA_CHECK(c10::cuda::SetDevice(d.index()));
}
void uncheckedSetDevice(Device d) const noexcept override {
C10_CUDA_CHECK_WARN(c10::cuda::MaybeSetDevice(d.index()));
}
Stream getStream(Device d) const noexcept override {
return getCurrentCUDAStream(d.index()).unwrap();
}
Stream getDefaultStream(Device d) const override {
return getDefaultCUDAStream(d.index());
}
Stream getNewStream(Device d, int priority = 0) const override {
return getStreamFromPool(priority, d.index());
}
Stream getStreamFromGlobalPool(Device d, bool isHighPriority = false)
const override {
return getStreamFromPool(isHighPriority, d.index());
}
// NB: These do NOT set the current device
Stream exchangeStream(Stream s) const noexcept override {
CUDAStream cs(s);
auto old_stream = getCurrentCUDAStream(s.device().index());
setCurrentCUDAStream(cs);
return old_stream.unwrap();
}
DeviceIndex deviceCount() const noexcept override {
return device_count();
}
// Event-related functions
void createEvent(cudaEvent_t* cuda_event, const EventFlag flag) const {
// Maps PyTorch's Event::Flag to CUDA flag
auto cuda_flag = cudaEventDefault;
switch (flag) {
case EventFlag::PYTORCH_DEFAULT:
cuda_flag = cudaEventDisableTiming;
break;
case EventFlag::BACKEND_DEFAULT:
cuda_flag = cudaEventDefault;
break;
default:
TORCH_CHECK(false, "CUDA event received unknown flag");
}
C10_CUDA_CHECK(cudaEventCreateWithFlags(cuda_event, cuda_flag));
const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
if (C10_UNLIKELY(interp)) {
(*interp)->trace_gpu_event_creation(
c10::kCUDA, reinterpret_cast<uintptr_t>(cuda_event));
}
}
void destroyEvent(void* event, const DeviceIndex device_index)
const noexcept override {
if (!event)
return;
auto cuda_event = static_cast<cudaEvent_t>(event);
DeviceIndex orig_device{-1};
C10_CUDA_CHECK_WARN(c10::cuda::GetDevice(&orig_device));
C10_CUDA_CHECK_WARN(c10::cuda::SetDevice(device_index));
const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
if (C10_UNLIKELY(interp)) {
(*interp)->trace_gpu_event_deletion(
c10::kCUDA, reinterpret_cast<uintptr_t>(cuda_event));
}
C10_CUDA_CHECK_WARN(cudaEventDestroy(cuda_event));
C10_CUDA_CHECK_WARN(c10::cuda::SetDevice(orig_device));
}
void record(
void** event,
const Stream& stream,
const DeviceIndex device_index,
const EventFlag flag) const override {
TORCH_CHECK(
device_index == -1 || device_index == stream.device_index(),
"Event device index ",
device_index,
" does not match recording stream's device index ",
stream.device_index(),
".");
cudaEvent_t cuda_event = static_cast<cudaEvent_t>(*event);
CUDAStream cuda_stream{stream};
// Moves to stream's device to record
const auto orig_device = getDevice();
setDevice(stream.device());
// Creates the event (lazily)
if (!cuda_event)
createEvent(&cuda_event, flag);
C10_CUDA_CHECK(cudaEventRecord(cuda_event, cuda_stream));
// Makes the void* point to the (possibly just allocated) CUDA event
*event = cuda_event;
const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
if (C10_UNLIKELY(interp)) {
(*interp)->trace_gpu_event_record(
c10::kCUDA,
reinterpret_cast<uintptr_t>(cuda_event),
reinterpret_cast<uintptr_t>(cuda_stream.stream()));
}
// Resets device
setDevice(orig_device);
}
void block(void* event, const Stream& stream) const override {
if (!event)
return;
cudaEvent_t cuda_event = static_cast<cudaEvent_t>(event);
CUDAStream cuda_stream{stream};
const auto orig_device = getDevice();
setDevice(stream.device());
C10_CUDA_CHECK(cudaStreamWaitEvent(
cuda_stream,
cuda_event,
/*flags (must be zero)=*/0));
const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
if (C10_UNLIKELY(interp)) {
(*interp)->trace_gpu_event_wait(
c10::kCUDA,
reinterpret_cast<uintptr_t>(cuda_event),
reinterpret_cast<uintptr_t>(cuda_stream.stream()));
}
setDevice(orig_device);
}
// May be called from any device
bool queryEvent(void* event) const override {
if (!event)
return true;
cudaEvent_t cuda_event = static_cast<cudaEvent_t>(event);
// Note: cudaEventQuery can be safely called from any device
const cudaError_t err = C10_CUDA_ERROR_HANDLED(cudaEventQuery(cuda_event));
if (err != cudaErrorNotReady) {
C10_CUDA_CHECK(err);
} else {
// ignore and clear the error if not ready
(void)cudaGetLastError();
}
return (err == cudaSuccess);
}
// Stream-related functions
bool queryStream(const Stream& stream) const override {
CUDAStream cuda_stream{stream};
return cuda_stream.query();
}
void synchronizeStream(const Stream& stream) const override {
CUDAStream cuda_stream{stream};
cuda_stream.synchronize();
}
void synchronizeEvent(void* event) const override {
if (!event)
return;
cudaEvent_t cuda_event = static_cast<cudaEvent_t>(event);
const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
if (C10_UNLIKELY(interp)) {
(*interp)->trace_gpu_event_synchronization(
c10::kCUDA, reinterpret_cast<uintptr_t>(cuda_event));
}
// Note: cudaEventSynchronize can be safely called from any device
C10_CUDA_CHECK(cudaEventSynchronize(cuda_event));
}
// Note: synchronizeDevice can be safely called from any device
void synchronizeDevice(const c10::DeviceIndex device_index) const override {
DeviceIndex orig_device{-1};
C10_CUDA_CHECK(c10::cuda::GetDevice(&orig_device));
C10_CUDA_CHECK(c10::cuda::SetDevice(device_index));
const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
if (C10_UNLIKELY(interp)) {
(*interp)->trace_gpu_device_synchronization(c10::kCUDA);
}
C10_CUDA_CHECK(cudaDeviceSynchronize());
C10_CUDA_CHECK(c10::cuda::SetDevice(orig_device));
}
void recordDataPtrOnStream(const c10::DataPtr& data_ptr, const Stream& stream)
const override {
CUDAStream cuda_stream{stream};
CUDACachingAllocator::recordStream(data_ptr, cuda_stream);
}
double elapsedTime(void* event1, void* event2, const DeviceIndex device_index)
const override {
TORCH_CHECK(
event1 && event2,
"Both events must be recorded before calculating elapsed time.");
// Even though cudaEventElapsedTime can be safely called from any device, if
// the current device is not initialized, it will create a new cuda context,
// which will consume a lot of memory.
DeviceIndex orig_device{-1};
C10_CUDA_CHECK(c10::cuda::GetDevice(&orig_device));
C10_CUDA_CHECK(c10::cuda::SetDevice(device_index));
cudaEvent_t cuda_event1 = static_cast<cudaEvent_t>(event1);
cudaEvent_t cuda_event2 = static_cast<cudaEvent_t>(event2);
float time_ms = 0;
// raise cudaErrorNotReady if either event is recorded but not yet completed
C10_CUDA_CHECK(cudaEventElapsedTime(&time_ms, cuda_event1, cuda_event2));
C10_CUDA_CHECK(c10::cuda::SetDevice(orig_device));
return static_cast<double>(time_ms);
}
};
} // namespace c10::cuda::impl
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