36 lines
1.3 KiB
Python
36 lines
1.3 KiB
Python
import ctypes as ct
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import os
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import torch
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from pathlib import Path
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from warnings import warn
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from bitsandbytes.cuda_setup.main import CUDASetup
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setup = CUDASetup.get_instance()
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if setup.initialized != True:
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setup.run_cuda_setup()
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lib = setup.lib
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try:
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if lib is None and torch.cuda.is_available():
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CUDASetup.get_instance().generate_instructions()
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CUDASetup.get_instance().print_log_stack()
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raise RuntimeError('''
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CUDA Setup failed despite GPU being available. Inspect the CUDA SETUP outputs above to fix your environment!
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If you cannot find any issues and suspect a bug, please open an issue with detals about your environment:
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https://github.com/TimDettmers/bitsandbytes/issues''')
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lib.cadam32bit_g32
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lib.get_context.restype = ct.c_void_p
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lib.get_cusparse.restype = ct.c_void_p
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COMPILED_WITH_CUDA = True
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except AttributeError:
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warn("The installed version of bitsandbytes was compiled without GPU support. "
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"8-bit optimizers and GPU quantization are unavailable.")
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COMPILED_WITH_CUDA = False
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# print the setup details after checking for errors so we do not print twice
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if 'BITSANDBYTES_NOWELCOME' not in os.environ or str(os.environ['BITSANDBYTES_NOWELCOME']) == '0':
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setup.print_log_stack()
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