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https://gitlab.com/libeigen/eigen.git
synced 2025-05-09 22:39:05 +08:00
Clean up gpu device properties.
Made a class and singleton to encapsulate initialization and retrieval of device properties. Related to !481, which already changed the API to address a static linkage issue.
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@ -42,58 +42,84 @@ class StreamInterface {
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virtual unsigned int* semaphore() const = 0;
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};
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EIGEN_STRONG_INLINE gpuDeviceProp_t*& getDeviceProperties() {
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static gpuDeviceProp_t* deviceProperties;
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return deviceProperties;
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}
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class GpuDeviceProperties {
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public:
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GpuDeviceProperties() :
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initialized_(false), first_(true), device_properties_(nullptr) {}
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~GpuDeviceProperties() {
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if (device_properties_) {
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delete[] device_properties_;
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}
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}
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EIGEN_STRONG_INLINE const gpuDeviceProp_t& get(int device) const {
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return device_properties_[device];
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}
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EIGEN_STRONG_INLINE bool& getDevicePropInitialized() {
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static bool devicePropInitialized = false;
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return devicePropInitialized;
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}
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EIGEN_STRONG_INLINE bool isInitialized() const {
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return initialized_;
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}
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static void initializeDeviceProp() {
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if (!getDevicePropInitialized()) {
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// Attempts to ensure proper behavior in the case of multiple threads
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// calling this function simultaneously. This would be trivial to
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// implement if we could use std::mutex, but unfortunately mutex don't
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// compile with nvcc, so we resort to atomics and thread fences instead.
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// Note that if the caller uses a compiler that doesn't support c++11 we
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// can't ensure that the initialization is thread safe.
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static std::atomic<bool> first(true);
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if (first.exchange(false)) {
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// We're the first thread to reach this point.
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int num_devices;
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gpuError_t status = gpuGetDeviceCount(&num_devices);
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if (status != gpuSuccess) {
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std::cerr << "Failed to get the number of GPU devices: "
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<< gpuGetErrorString(status)
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<< std::endl;
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gpu_assert(status == gpuSuccess);
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}
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getDeviceProperties() = new gpuDeviceProp_t[num_devices];
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for (int i = 0; i < num_devices; ++i) {
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status = gpuGetDeviceProperties(&getDeviceProperties()[i], i);
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void initialize() {
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if (!initialized_) {
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// Attempts to ensure proper behavior in the case of multiple threads
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// calling this function simultaneously. This would be trivial to
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// implement if we could use std::mutex, but unfortunately mutex don't
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// compile with nvcc, so we resort to atomics and thread fences instead.
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// Note that if the caller uses a compiler that doesn't support c++11 we
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// can't ensure that the initialization is thread safe.
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if (first_.exchange(false)) {
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// We're the first thread to reach this point.
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int num_devices;
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gpuError_t status = gpuGetDeviceCount(&num_devices);
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if (status != gpuSuccess) {
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std::cerr << "Failed to initialize GPU device #"
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<< i
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<< ": "
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std::cerr << "Failed to get the number of GPU devices: "
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<< gpuGetErrorString(status)
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<< std::endl;
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gpu_assert(status == gpuSuccess);
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}
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}
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device_properties_ = new gpuDeviceProp_t[num_devices];
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for (int i = 0; i < num_devices; ++i) {
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status = gpuGetDeviceProperties(&device_properties_[i], i);
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if (status != gpuSuccess) {
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std::cerr << "Failed to initialize GPU device #"
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<< i
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<< ": "
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<< gpuGetErrorString(status)
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<< std::endl;
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gpu_assert(status == gpuSuccess);
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}
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}
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std::atomic_thread_fence(std::memory_order_release);
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getDevicePropInitialized() = true;
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} else {
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// Wait for the other thread to inititialize the properties.
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while (!getDevicePropInitialized()) {
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std::atomic_thread_fence(std::memory_order_acquire);
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std::this_thread::sleep_for(std::chrono::milliseconds(1000));
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std::atomic_thread_fence(std::memory_order_release);
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initialized_ = true;
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} else {
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// Wait for the other thread to inititialize the properties.
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while (!initialized_) {
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std::atomic_thread_fence(std::memory_order_acquire);
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std::this_thread::sleep_for(std::chrono::milliseconds(1000));
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}
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}
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}
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}
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private:
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volatile bool initialized_;
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std::atomic<bool> first_;
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gpuDeviceProp_t* device_properties_;
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};
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EIGEN_ALWAYS_INLINE const GpuDeviceProperties& GetGpuDeviceProperties() {
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static GpuDeviceProperties* deviceProperties = new GpuDeviceProperties();
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if (!deviceProperties->isInitialized()) {
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deviceProperties->initialize();
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}
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return *deviceProperties;
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}
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EIGEN_ALWAYS_INLINE const gpuDeviceProp_t& GetGpuDeviceProperties(int device) {
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return GetGpuDeviceProperties().get(device);
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}
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static const gpuStream_t default_stream = gpuStreamDefault;
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@ -103,12 +129,9 @@ class GpuStreamDevice : public StreamInterface {
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// Use the default stream on the current device
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GpuStreamDevice() : stream_(&default_stream), scratch_(NULL), semaphore_(NULL) {
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gpuGetDevice(&device_);
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initializeDeviceProp();
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}
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// Use the default stream on the specified device
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GpuStreamDevice(int device) : stream_(&default_stream), device_(device), scratch_(NULL), semaphore_(NULL) {
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initializeDeviceProp();
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}
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GpuStreamDevice(int device) : stream_(&default_stream), device_(device), scratch_(NULL), semaphore_(NULL) {}
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// Use the specified stream. Note that it's the
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// caller responsibility to ensure that the stream can run on
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// the specified device. If no device is specified the code
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@ -125,7 +148,6 @@ class GpuStreamDevice : public StreamInterface {
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gpu_assert(device < num_devices);
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device_ = device;
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}
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initializeDeviceProp();
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}
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virtual ~GpuStreamDevice() {
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@ -136,7 +158,7 @@ class GpuStreamDevice : public StreamInterface {
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const gpuStream_t& stream() const { return *stream_; }
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const gpuDeviceProp_t& deviceProperties() const {
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return getDeviceProperties()[device_];
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return GetGpuDeviceProperties(device_);
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}
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virtual void* allocate(size_t num_bytes) const {
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gpuError_t err = gpuSetDevice(device_);
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