54 lines
1.4 KiB
Python
54 lines
1.4 KiB
Python
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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'''
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# ported from https://gist.github.com/f0k/63a664160d016a491b2cbea15913d549
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'''
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import ctypes
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CUDA_SUCCESS = 0
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def get_gpu_archs():
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libnames = ('libcuda.so', 'libcuda.dylib', 'cuda.dll')
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for libname in libnames:
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try:
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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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return
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gpu_archs = set()
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n_gpus = 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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result = 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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result = cuda.cuInit(0)
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if result != CUDA_SUCCESS:
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cuda.cuGetErrorString(result, ctypes.byref(error_str))
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# print('cuInit failed with error code %d: %s' % (result, error_str.value.decode()))
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return []
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result = cuda.cuDeviceGetCount(ctypes.byref(n_gpus))
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if result != CUDA_SUCCESS:
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cuda.cuGetErrorString(result, ctypes.byref(error_str))
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# print('cuDeviceGetCount failed with error code %d: %s' % (result, error_str.value.decode()))
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return []
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for i in range(n_gpus.value):
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if cuda.cuDeviceComputeCapability(ctypes.byref(cc_major), ctypes.byref(cc_minor), device) == CUDA_SUCCESS:
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gpu_archs.add(str(cc_major.value) + str(cc_minor.value))
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return list(gpu_archs)
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if __name__ == '__main__':
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print(' '.join(get_gpu_archs()))
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