Python 使用ctypes将c结构传递给函数
我试图在不添加pycuda依赖项的情况下查询CUDA设备。以下是到目前为止我得到的信息:Python 使用ctypes将c结构传递给函数,python,c,cuda,Python,C,Cuda,我试图在不添加pycuda依赖项的情况下查询CUDA设备。以下是到目前为止我得到的信息: import ctypes cudart = ctypes.cdll.LoadLibrary('libcudart.so') numDevices = ctypes.c_int() cudart.cudaGetDeviceCount(ctypes.byref(numDevices)) print 'There are', numDevices.value, 'devices.' for x in xr
import ctypes
cudart = ctypes.cdll.LoadLibrary('libcudart.so')
numDevices = ctypes.c_int()
cudart.cudaGetDeviceCount(ctypes.byref(numDevices))
print 'There are', numDevices.value, 'devices.'
for x in xrange(numDevices.value):
properties = None # XXX What goes here?
cudart.cudaGetDeviceProperties(ctypes.byref(properties), x)
print properties
问题是我无法创建一个空结构来传递给cudaGetDeviceProperties()。我想这样做:
properties = cudart.cudaDeviceProp
但这就产生了一个错误:
AttributeError: /usr/local/cuda/lib64/libcudart.so: undefined symbol: cudaDeviceProp
这里是相关的
(编辑)
多亏了@mhawke,我才有了工作。对于任何想这样做的人,我将为您省去自己键入类的工作:
class CudaDeviceProp(ctypes.Structure):
_fields_ = [
('name', ctypes.c_char * 256),
('totalGlobalMem', ctypes.c_size_t),
('sharedMemPerBlock', ctypes.c_size_t),
('regsPerBlock', ctypes.c_int),
('warpSize', ctypes.c_int),
('memPitch', ctypes.c_size_t),
('maxThreadsPerBlock', ctypes.c_int),
('maxThreadsDim', ctypes.c_int * 3),
('maxGridSize', ctypes.c_int * 3),
('clockRate', ctypes.c_int),
('totalConstMem', ctypes.c_size_t),
('major', ctypes.c_int),
('minor', ctypes.c_int),
('textureAlignment', ctypes.c_size_t),
('texturePitchAlignment', ctypes.c_size_t),
('deviceOverlap', ctypes.c_int),
('multiProcessorCount', ctypes.c_int),
('kernelExecTimeoutEnabled', ctypes.c_int),
('integrated', ctypes.c_int),
('canMapHostMemory', ctypes.c_int),
('computeMode', ctypes.c_int),
('maxTexture1D', ctypes.c_int),
('maxTexture1DMipmap', ctypes.c_int),
('maxTexture1DLinear', ctypes.c_int),
('maxTexture2D', ctypes.c_int * 2),
('maxTexture2DMipmap', ctypes.c_int * 2),
('maxTexture2DLinear', ctypes.c_int * 3),
('maxTexture2DGather', ctypes.c_int * 2),
('maxTexture3D', ctypes.c_int * 3),
('maxTexture3DAlt', ctypes.c_int * 3),
('maxTextureCubemap', ctypes.c_int),
('maxTexture1DLayered', ctypes.c_int * 2),
('maxTexture2DLayered', ctypes.c_int * 3),
('maxTextureCubemapLayered', ctypes.c_int * 2),
('maxSurface1D', ctypes.c_int),
('maxSurface2D', ctypes.c_int * 2),
('maxSurface3D', ctypes.c_int * 3),
('maxSurface1DLayered', ctypes.c_int * 2),
('maxSurface2DLayered', ctypes.c_int * 3),
('maxSurfaceCubemap', ctypes.c_int),
('maxSurfaceCubemapLayered', ctypes.c_int * 2),
('surfaceAlignment', ctypes.c_size_t),
('concurrentKernels', ctypes.c_int),
('ECCEnabled', ctypes.c_int),
('pciBusID', ctypes.c_int),
('pciDeviceID', ctypes.c_int),
('pciDomainID', ctypes.c_int),
('tccDriver', ctypes.c_int),
('asyncEngineCount', ctypes.c_int),
('unifiedAddressing', ctypes.c_int),
('memoryClockRate', ctypes.c_int),
('memoryBusWidth', ctypes.c_int),
('l2CacheSize', ctypes.c_int),
('maxThreadsPerMultiProcessor', ctypes.c_int),
('streamPrioritiesSupported', ctypes.c_int),
('globalL1CacheSupported', ctypes.c_int),
('localL1CacheSupported', ctypes.c_int),
('sharedMemPerMultiprocessor', ctypes.c_size_t),
('regsPerMultiprocessor', ctypes.c_int),
('managedMemSupported', ctypes.c_int),
('isMultiGpuBoard', ctypes.c_int),
('multiGpuBoardGroupID', ctypes.c_int),
('singleToDoublePrecisionPerfRatio', ctypes.c_int),
('pageableMemoryAccess', ctypes.c_int),
('concurrentManagedAccess', ctypes.c_int),
]
您需要定义
ctypes.Structure
的子类,该子类指定cudaDeviceProp
struct中的所有字段。然后可以将结构的实例传递给函数。请注意,您需要按照正确的顺序填写所有字段。其中一些是数组,因此需要正确声明它们
import ctypes
class CudaDeviceProp(ctypes.Structure):
_fields_ = [('ECCEnabled', ctypes.c_int),
('asyncEngineCount', ctypes.c_int),
('canMapHostMemory', ctypes.c_int),
('clockRate', ctypes.c_int),
('computeMode', ctypes.c_int),
('concurrentKernels', ctypes.c_int),
...
('totalGlobalMem', ctypes.c_size_t),
('unifiedAddressing', ctypes.c_int),
('warpSize', ctypes.c_int)]
properties = CudaDeviceProp()
cudart.cudaGetDeviceProperties(ctypes.byref(properties), 0)