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