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fix: Use raw int

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This commit is contained in:
rapsealk 2023-04-25 17:12:27 +09:00
parent eb54c55b61
commit 9836b0b90f
1 changed files with 10 additions and 11 deletions
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21
bitsandbytes/cuda_setup/main.py
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@ -275,15 +275,15 @@ def determine_cuda_runtime_lib_path() -> Union[Path, None]:
return next(iter(cuda_runtime_libs)) if cuda_runtime_libs else None return next(iter(cuda_runtime_libs)) if cuda_runtime_libs else None
def check_cuda_result(cuda, result_val): # def check_cuda_result(cuda, result_val):
# 3. Check for CUDA errors # # 3. Check for CUDA errors
if result_val != 0: # if result_val != 0:
error_str = ct.c_char_p() # error_str = ct.c_char_p()
cuda.cuGetErrorString(result_val, ct.byref(error_str)) # cuda.cuGetErrorString(result_val, ct.byref(error_str))
if error_str.value is not None: # if error_str.value is not None:
CUDASetup.get_instance().add_log_entry(f"CUDA exception! Error code: {error_str.value.decode()}") # CUDASetup.get_instance().add_log_entry(f"CUDA exception! Error code: {error_str.value.decode()}")
else: # 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.") # 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 # https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART____VERSION.html#group__CUDART____VERSION
@ -291,7 +291,6 @@ def get_cuda_version(cuda, cudart_path):
if cuda is None: return None if cuda is None: return None
version = torch._C._cuda_getCompiledVersion() version = torch._C._cuda_getCompiledVersion()
version = int(version.value)
major = version//1000 major = version//1000
minor = (version-(major*1000))//10 minor = (version-(major*1000))//10
@ -308,7 +307,7 @@ def get_cuda_lib_handle():
except OSError: 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!') 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 return None
check_cuda_result(cuda, cuda.cuInit(0)) # check_cuda_result(cuda, cuda.cuInit(0))
return cuda return cuda