| import ctypes as ct |
| from pathlib import Path |
| from warnings import warn |
|
|
| from .cuda_setup.main import evaluate_cuda_setup |
|
|
|
|
| class CUDALibrary_Singleton(object): |
| _instance = None |
|
|
| def __init__(self): |
| raise RuntimeError("Call get_instance() instead") |
|
|
| def initialize(self): |
| binary_name = evaluate_cuda_setup() |
| package_dir = Path(__file__).parent |
| binary_path = package_dir / binary_name |
|
|
| if not binary_path.exists(): |
| print(f"CUDA SETUP: TODO: compile library for specific version: {binary_name}") |
| legacy_binary_name = "libbitsandbytes.so" |
| print(f"CUDA SETUP: Defaulting to {legacy_binary_name}...") |
| binary_path = package_dir / legacy_binary_name |
| if not binary_path.exists(): |
| print('CUDA SETUP: CUDA detection failed. Either CUDA driver not installed, CUDA not installed, or you have multiple conflicting CUDA libraries!') |
| print('CUDA SETUP: If you compiled from source, try again with `make CUDA_VERSION=DETECTED_CUDA_VERSION` for example, `make CUDA_VERSION=113`.') |
| raise Exception('CUDA SETUP: Setup Failed!') |
| |
| self.lib = ct.cdll.LoadLibrary(str(binary_path)) |
| else: |
| print(f"CUDA SETUP: Loading binary {binary_path}...") |
| |
| self.lib = ct.cdll.LoadLibrary(str(binary_path)) |
|
|
| @classmethod |
| def get_instance(cls): |
| if cls._instance is None: |
| cls._instance = cls.__new__(cls) |
| cls._instance.initialize() |
| return cls._instance |
|
|
|
|
| lib = CUDALibrary_Singleton.get_instance().lib |
| try: |
| lib.cadam32bit_g32 |
| lib.get_context.restype = ct.c_void_p |
| lib.get_cusparse.restype = ct.c_void_p |
| COMPILED_WITH_CUDA = True |
| except AttributeError: |
| warn( |
| "The installed version of bitsandbytes was compiled without GPU support. " |
| "8-bit optimizers and GPU quantization are unavailable." |
| ) |
| COMPILED_WITH_CUDA = False |
|
|
