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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(binary_path) | |
self.lib = ct.cdll.LoadLibrary(str(binary_path)) # $$$ | |
else: | |
print(f"CUDA SETUP: Loading binary {binary_path}...") | |
# self.lib = ct.cdll.LoadLibrary(binary_path) | |
self.lib = ct.cdll.LoadLibrary(str(binary_path)) # $$$ | |
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 | |