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import ctypes as ct |
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from pathlib import Path |
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from warnings import warn |
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from .cuda_setup.main import evaluate_cuda_setup |
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class CUDALibrary_Singleton(object): |
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_instance = None |
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def __init__(self): |
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raise RuntimeError("Call get_instance() instead") |
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def initialize(self): |
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binary_name = evaluate_cuda_setup() |
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package_dir = Path(__file__).parent |
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binary_path = package_dir / binary_name |
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if not binary_path.exists(): |
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print(f"CUDA SETUP: TODO: compile library for specific version: {binary_name}") |
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legacy_binary_name = "libbitsandbytes.so" |
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print(f"CUDA SETUP: Defaulting to {legacy_binary_name}...") |
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binary_path = package_dir / legacy_binary_name |
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if not binary_path.exists(): |
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print('CUDA SETUP: CUDA detection failed. Either CUDA driver not installed, CUDA not installed, or you have multiple conflicting CUDA libraries!') |
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print('CUDA SETUP: If you compiled from source, try again with `make CUDA_VERSION=DETECTED_CUDA_VERSION` for example, `make CUDA_VERSION=113`.') |
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raise Exception('CUDA SETUP: Setup Failed!') |
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self.lib = ct.cdll.LoadLibrary(str(binary_path)) |
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else: |
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print(f"CUDA SETUP: Loading binary {binary_path}...") |
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self.lib = ct.cdll.LoadLibrary(str(binary_path)) |
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@classmethod |
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def get_instance(cls): |
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if cls._instance is None: |
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cls._instance = cls.__new__(cls) |
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cls._instance.initialize() |
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return cls._instance |
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lib = CUDALibrary_Singleton.get_instance().lib |
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try: |
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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( |
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"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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) |
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COMPILED_WITH_CUDA = False |
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