fix: Remove unused code

This commit is contained in:
Jeongseok Kang 2023-04-26 11:54:17 +09:00 committed by GitHub
parent 9836b0b90f
commit f5110265ff
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@ -275,17 +275,6 @@ def determine_cuda_runtime_lib_path() -> Union[Path, None]:
return next(iter(cuda_runtime_libs)) if cuda_runtime_libs else None
# def check_cuda_result(cuda, result_val):
# # 3. Check for CUDA errors
# if result_val != 0:
# error_str = ct.c_char_p()
# cuda.cuGetErrorString(result_val, ct.byref(error_str))
# if error_str.value is not None:
# CUDASetup.get_instance().add_log_entry(f"CUDA exception! Error code: {error_str.value.decode()}")
# else:
# CUDASetup.get_instance().add_log_entry(f"Unknown CUDA exception! Please check your CUDA install. It might also be that your GPU is too old.")
# https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART____VERSION.html#group__CUDART____VERSION
def get_cuda_version(cuda, cudart_path):
if cuda is None: return None
@ -307,15 +296,12 @@ def get_cuda_lib_handle():
except OSError:
CUDASetup.get_instance().add_log_entry('CUDA SETUP: WARNING! libcuda.so not found! Do you have a CUDA driver installed? If you are on a cluster, make sure you are on a CUDA machine!')
return None
# check_cuda_result(cuda, cuda.cuInit(0))
return cuda
def get_compute_capabilities(cuda):
ccs = []
# for i in range(torch.cuda.device_count()):
# device = torch.cuda.device(i)
ccs.append(torch.version.cuda)
return ccs