66 lines
2.2 KiB
Python
66 lines
2.2 KiB
Python
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import ctypes
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from dataclasses import dataclass, field
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CUDA_SUCCESS = 0
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@dataclass
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class CudaLibVals:
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# code bits taken from
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# https://gist.github.com/f0k/63a664160d016a491b2cbea15913d549
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nGpus = ctypes.c_int()
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cc_major = ctypes.c_int()
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cc_minor = ctypes.c_int()
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device = ctypes.c_int()
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error_str = ctypes.c_char_p()
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cuda: ctypes.CDLL = field(init=False, repr=False)
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ccs: List[str, ...] = field(init=False)
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def load_cuda_lib(self):
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"""
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1. find libcuda.so library (GPU driver) (/usr/lib)
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init_device -> init variables -> call function by reference
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"""
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libnames = ("libcuda.so")
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for libname in libnames:
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try:
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self.cuda = ctypes.CDLL(libname)
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except OSError:
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continue
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else:
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break
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else:
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raise OSError("could not load any of: " + " ".join(libnames))
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def check_cuda_result(self, result_val):
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"""
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2. call extern C function to determine CC
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(see https://docs.nvidia.com/cuda/cuda-driver-api/group__CUDA__DEVICE__DEPRECATED.html)
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"""
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cls_fields: Tuple[Field, ...] = fields(self.__class__)
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if result_val != 0:
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self.cuda.cuGetErrorString(result_val, ctypes.byref(self.error_str))
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print("Count not initialize CUDA - failure!")
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raise Exception("CUDA exception!")
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return result_val
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def __post_init__(self):
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self.load_cuda_lib()
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self.check_cuda_result(self.cuda.cuInit(0))
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self.check_cuda_result(self.cuda, self.cuda.cuDeviceGetCount(ctypes.byref(self.nGpus)))
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tmp_ccs = []
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for gpu_index in range(self.nGpus.value):
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check_cuda_result(
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self.cuda, self.cuda.cuDeviceGet(ctypes.byref(self.device), gpu_index)
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)
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check_cuda_result(
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self.cuda,
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self.cuda.cuDeviceComputeCapability(
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ctypes.byref(self.cc_major), ctypes.byref(self.cc_minor), self.device
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),
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)
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tmp_ccs.append(f"{self.cc_major.value}.{self.cc_minor.value}")
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self.ccs = sorted(tmp_ccs, reverse=True)
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