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nvidia-texture-tools/src/nvtt/cuda/CudaUtils.cpp

301 lines
6.7 KiB
C++

// Copyright NVIDIA Corporation 2007 -- Ignacio Castano <icastano@nvidia.com>
//
// Permission is hereby granted, free of charge, to any person
// obtaining a copy of this software and associated documentation
// files (the "Software"), to deal in the Software without
// restriction, including without limitation the rights to use,
// copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following
// conditions:
//
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
// OTHER DEALINGS IN THE SOFTWARE.
#include <nvcore/Debug.h>
#include <nvcore/Library.h>
#include "CudaUtils.h"
#if defined HAVE_CUDA
#include <cuda.h>
#include <cuda_runtime_api.h>
#endif
using namespace nv;
using namespace cuda;
/* @@ Move this to win32 utils or somewhere else.
#if NV_OS_WIN32
#define WINDOWS_LEAN_AND_MEAN
#include <windows.h>
static bool isWindowsVista()
{
OSVERSIONINFO osvi;
osvi.dwOSVersionInfoSize = sizeof(OSVERSIONINFO);
::GetVersionEx(&osvi);
return osvi.dwMajorVersion >= 6;
}
typedef BOOL (WINAPI *LPFN_ISWOW64PROCESS) (HANDLE, PBOOL);
static bool isWow32()
{
LPFN_ISWOW64PROCESS fnIsWow64Process = (LPFN_ISWOW64PROCESS)GetProcAddress(GetModuleHandle("kernel32"), "IsWow64Process");
BOOL bIsWow64 = FALSE;
if (NULL != fnIsWow64Process)
{
if (!fnIsWow64Process(GetCurrentProcess(), &bIsWow64))
{
// Assume 32 bits.
return true;
}
}
return !bIsWow64;
}
#endif
*/
static bool isCudaDriverAvailable(int version)
{
#if defined HAVE_CUDA
#if NV_OS_WIN32
Library nvcuda("nvcuda.dll");
#else
Library nvcuda(NV_LIBRARY_NAME(cuda));
#endif
if (!nvcuda.isValid())
{
nvDebug("*** CUDA driver not found.\n");
return false;
}
if (version >= 2000)
{
void * address = nvcuda.bindSymbol("cuStreamCreate");
if (address == NULL) {
nvDebug("*** CUDA driver version < 2.0.\n");
return false;
}
}
if (version >= 2010)
{
void * address = nvcuda.bindSymbol("cuModuleLoadDataEx");
if (address == NULL) {
nvDebug("*** CUDA driver version < 2.1.\n");
return false;
}
}
if (version >= 2020)
{
typedef CUresult (CUDAAPI * PFCU_DRIVERGETVERSION)(int * version);
PFCU_DRIVERGETVERSION driverGetVersion = (PFCU_DRIVERGETVERSION)nvcuda.bindSymbol("cuDriverGetVersion");
if (driverGetVersion == NULL) {
nvDebug("*** CUDA driver version < 2.2.\n");
return false;
}
int driverVersion;
CUresult err = driverGetVersion(&driverVersion);
if (err != CUDA_SUCCESS) {
nvDebug("*** Error querying driver version: '%s'.\n", cudaGetErrorString((cudaError_t)err));
return false;
}
return driverVersion >= version;
}
#endif // HAVE_CUDA
return true;
}
/// Determine if CUDA is available.
bool nv::cuda::isHardwarePresent()
{
#if defined HAVE_CUDA
// Make sure that CUDA driver matches CUDA runtime.
if (!isCudaDriverAvailable(CUDART_VERSION))
{
nvDebug("CUDA driver not available for CUDA runtime %d\n", CUDART_VERSION);
return false;
}
int count = deviceCount();
if (count == 1)
{
// Make sure it's not an emulation device.
cudaDeviceProp deviceProp;
cudaGetDeviceProperties(&deviceProp, 0);
// deviceProp.name != Device Emulation (CPU)
if (deviceProp.major == -1 || deviceProp.minor == -1)
{
return false;
}
}
// @@ Make sure that warp size == 32
// @@ Make sure available GPU is faster than the CPU.
return count > 0;
#else
return false;
#endif
}
/// Get number of CUDA enabled devices.
int nv::cuda::deviceCount()
{
#if defined HAVE_CUDA
int gpuCount = 0;
cudaError_t result = cudaGetDeviceCount(&gpuCount);
if (result == cudaSuccess)
{
return gpuCount;
}
#endif
return 0;
}
// Make sure device meets requirements:
// - Not an emulation device.
// - Not an integrated device?
// - Faster than CPU.
bool nv::cuda::isValidDevice(int i)
{
#if defined HAVE_CUDA
cudaDeviceProp device_properties;
cudaGetDeviceProperties(&device_properties, i);
int gflops = device_properties.multiProcessorCount * device_properties.clockRate;
if (device_properties.major == -1 || device_properties.minor == -1) {
// Emulation device.
return false;
}
#if CUDART_VERSION >= 2030 // 2.3
/*if (device_properties.integrated)
{
// Integrated devices.
return false;
}*/
#endif
return true;
#else
return false;
#endif
}
int nv::cuda::getFastestDevice()
{
int max_gflops_device = -1;
#if defined HAVE_CUDA
int max_gflops = 0;
const int device_count = deviceCount();
for (int i = 0; i < device_count; i++)
{
if (isValidDevice(i))
{
cudaDeviceProp device_properties;
cudaGetDeviceProperties(&device_properties, i);
int gflops = device_properties.multiProcessorCount * device_properties.clockRate;
if (gflops > max_gflops)
{
max_gflops = gflops;
max_gflops_device = i;
}
}
}
#endif
return max_gflops_device;
}
/// Activate the given devices.
bool nv::cuda::initDevice(int * device_ptr)
{
nvDebugCheck(device_ptr != NULL);
#if defined HAVE_CUDA
#if CUDART_VERSION >= 2030 // 2.3
// Set device flags to yield in order to play nice with other threads and to find out if CUDA was already active.
cudaError_t resul = cudaSetDeviceFlags(cudaDeviceScheduleYield);
#endif
int device = getFastestDevice();
if (device == -1)
{
// No device is fast enough.
*device_ptr = -1;
return false;
}
// Select CUDA device.
cudaError_t result = cudaSetDevice(device);
if (result == cudaErrorSetOnActiveProcess)
{
int device;
result = cudaGetDevice(&device);
*device_ptr = -1; // No device to cleanup.
return isValidDevice(device); // Return true if device is valid.
}
else if (result != cudaSuccess)
{
nvDebug("*** CUDA Error: %s\n", cudaGetErrorString(result));
*device_ptr = -1;
return false;
}
*device_ptr = device;
return true;
#else
return false;
#endif
}
void nv::cuda::exitDevice()
{
#if defined HAVE_CUDA
cudaError_t result = cudaThreadExit();
if (result != cudaSuccess) {
nvDebug("*** CUDA Error: %s\n", cudaGetErrorString(result));
}
#endif
}