| | 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 |
| |
|
