fix: Remove unused code

Author: rapsealk

bitsandbytes/cuda_setup/main.py

@@ -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