From 3809236428e704f9a7e22232701a651aafa5ca1b Mon Sep 17 00:00:00 2001 From: Titus von Koeller Date: Tue, 2 Aug 2022 07:42:27 -0700 Subject: move cuda_setup code into subpackage --- bitsandbytes/cuda_setup.py | 173 --------------------------------------------- 1 file changed, 173 deletions(-) delete mode 100644 bitsandbytes/cuda_setup.py (limited to 'bitsandbytes/cuda_setup.py') diff --git a/bitsandbytes/cuda_setup.py b/bitsandbytes/cuda_setup.py deleted file mode 100644 index e68cd5e..0000000 --- a/bitsandbytes/cuda_setup.py +++ /dev/null @@ -1,173 +0,0 @@ -""" -extract factors the build is dependent on: -[X] compute capability - [ ] TODO: Q - What if we have multiple GPUs of different makes? -- CUDA version -- Software: - - CPU-only: only CPU quantization functions (no optimizer, no matrix multipl) - - CuBLAS-LT: full-build 8-bit optimizer - - no CuBLAS-LT: no 8-bit matrix multiplication (`nomatmul`) - -alle Binaries packagen - -evaluation: - - if paths faulty, return meaningful error - - else: - - determine CUDA version - - determine capabilities - - based on that set the default path -""" - -import ctypes -import os -from pathlib import Path -from typing import Set, Union - -from .utils import print_err, warn_of_missing_prerequisite, execute_and_return - - -def check_cuda_result(cuda, result_val): - # 3. Check for CUDA errors - if result_val != 0: - error_str = ctypes.c_char_p() - cuda.cuGetErrorString(result_val, ctypes.byref(error_str)) - raise Exception(f"CUDA exception! ERROR: {error_str}") - - -# taken from https://gist.github.com/f0k/63a664160d016a491b2cbea15913d549 -def get_compute_capability(): - # 1. find libcuda.so library (GPU driver) (/usr/lib) - # init_device -> init variables -> call function by reference - # 2. call extern C function to determine CC - # (https://docs.nvidia.com/cuda/cuda-driver-api/group__CUDA__DEVICE__DEPRECATED.html) - # 3. Check for CUDA errors - # https://stackoverflow.com/questions/14038589/what-is-the-canonical-way-to-check-for-errors-using-the-cuda-runtime-api - - # 1. find libcuda.so library (GPU driver) (/usr/lib) - libnames = ("libcuda.so",) - for libname in libnames: - try: - cuda = ctypes.CDLL(libname) - except OSError: - continue - else: - break - else: - raise OSError("could not load any of: " + " ".join(libnames)) - - nGpus = ctypes.c_int() - cc_major = ctypes.c_int() - cc_minor = ctypes.c_int() - - result = ctypes.c_int() - device = ctypes.c_int() - - check_cuda_result(cuda, cuda.cuInit(0)) - - check_cuda_result(cuda, cuda.cuDeviceGetCount(ctypes.byref(nGpus))) - ccs = [] - for i in range(nGpus.value): - check_cuda_result(cuda, cuda.cuDeviceGet(ctypes.byref(device), i)) - ref_major = ctypes.byref(cc_major) - ref_minor = ctypes.byref(cc_minor) - # 2. call extern C function to determine CC - check_cuda_result(cuda, cuda.cuDeviceComputeCapability(ref_major, ref_minor, device)) - ccs.append(f"{cc_major.value}.{cc_minor.value}") - - # TODO: handle different compute capabilities; for now, take the max - ccs.sort() - max_cc = ccs[-1] - return max_cc - - -CUDA_RUNTIME_LIB: str = "libcudart.so" - - -def tokenize_paths(paths: str) -> Set[Path]: - return {Path(ld_path) for ld_path in paths.split(":") if ld_path} - - -def resolve_env_variable(env_var): - '''Searches a given envirionmental library or path for the CUDA runtime library (libcudart.so)''' - paths: Set[Path] = tokenize_paths(env_var) - - non_existent_directories: Set[Path] = { - path for path in paths if not path.exists() - } - - if non_existent_directories: - print_err( - "WARNING: The following directories listed your path were found to " - f"be non-existent: {non_existent_directories}" - ) - - cuda_runtime_libs: Set[Path] = { - path / CUDA_RUNTIME_LIB - for path in paths - if (path / CUDA_RUNTIME_LIB).is_file() - } - non_existent_directories - - if len(cuda_runtime_libs) > 1: - err_msg = ( - f"Found duplicate {CUDA_RUNTIME_LIB} files: {cuda_runtime_libs}.." - ) - raise FileNotFoundError(err_msg) - elif len(cuda_runtime_libs) == 0: return None # this is not en error, since other envs can contain CUDA - else: return next(iter(cuda_runtime_libs)) # for now just return the first - -def get_cuda_runtime_lib_path() -> Union[Path, None]: - '''Searches conda installation and environmental paths for a cuda installations.''' - - cuda_runtime_libs = [] - # CONDA_PREFIX/lib is the default location for a default conda - # install of pytorch. This location takes priortiy over all - # other defined variables - if 'CONDA_PREFIX' in os.environ: - lib_conda_path = f'{os.environ["CONDA_PREFIX"]}/lib/' - print(lib_conda_path) - cuda_runtime_libs.append(resolve_env_variable(lib_conda_path)) - - if len(cuda_runtime_libs) == 1: return cuda_runtime_libs[0] - - # if CONDA_PREFIX does not have the library, search the environment - # (in particualr LD_LIBRARY PATH) - for var in os.environ: - cuda_runtime_libs.append(resolve_env_variable(var)) - - if len(cuda_runtime_libs) < 1: - err_msg = ( - f"Did not find {CUDA_RUNTIME_LIB} files: {cuda_runtime_libs}.." - ) - raise FileNotFoundError(err_msg) - - return cuda_runtime_libs.pop() - - -def evaluate_cuda_setup(): - cuda_path = get_cuda_runtime_lib_path() - print(f'CUDA SETUP: CUDA path found: {cuda_path}') - cc = get_compute_capability() - binary_name = "libbitsandbytes_cpu.so" - - if not (has_gpu := bool(cc)): - print( - "WARNING: No GPU detected! Check your CUDA paths. Processing to load CPU-only library..." - ) - return binary_name - - has_cublaslt = cc in ["7.5", "8.0", "8.6"] - - # TODO: - # (1) CUDA missing cases (no CUDA installed by CUDA driver (nvidia-smi accessible) - # (2) Multiple CUDA versions installed - - cuda_home = str(Path(cuda_path).parent.parent) - # we use ls -l instead of nvcc to determine the cuda version - # since most installations will have the libcudart.so installed, but not the compiler - ls_output, err = execute_and_return(f"ls -l {cuda_path}") - major, minor, revision = ls_output.split(' ')[-1].replace('libcudart.so.', '').split('.') - cuda_version_string = f"{major}{minor}" - - binary_name = f'libbitsandbytes_cuda{cuda_version_string}{("" if has_cublaslt else "_nocublaslt")}.so' - - return binary_name -- cgit v1.2.3