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meson/mesonbuild/dependencies/cuda.py

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# Copyright 2013-2019 The Meson development team
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import glob
import re
import os
import typing as T
from pathlib import Path
from .. import mesonlib
from .. import mlog
from ..environment import detect_cpu_family
from .base import DependencyException, SystemDependency
if T.TYPE_CHECKING:
from ..environment import Environment
from ..compilers import Compiler
TV_ResultTuple = T.Tuple[T.Optional[str], T.Optional[str], bool]
class CudaDependency(SystemDependency):
supported_languages = ['cuda', 'cpp', 'c'] # see also _default_language
def __init__(self, environment: 'Environment', kwargs: T.Dict[str, T.Any]) -> None:
compilers = environment.coredata.compilers[self.get_for_machine_from_kwargs(kwargs)]
language = self._detect_language(compilers)
if language not in self.supported_languages:
raise DependencyException(f'Language \'{language}\' is not supported by the CUDA Toolkit. Supported languages are {self.supported_languages}.')
super().__init__('cuda', environment, kwargs, language=language)
self.lib_modules: T.Dict[str, T.List[str]] = {}
self.requested_modules = self.get_requested(kwargs)
if 'cudart' not in self.requested_modules:
self.requested_modules = ['cudart'] + self.requested_modules
(self.cuda_path, self.version, self.is_found) = self._detect_cuda_path_and_version()
if not self.is_found:
return
if not os.path.isabs(self.cuda_path):
raise DependencyException(f'CUDA Toolkit path must be absolute, got \'{self.cuda_path}\'.')
# nvcc already knows where to find the CUDA Toolkit, but if we're compiling
# a mixed C/C++/CUDA project, we still need to make the include dir searchable
if self.language != 'cuda' or len(compilers) > 1:
self.incdir = os.path.join(self.cuda_path, 'include')
self.compile_args += [f'-I{self.incdir}']
if self.language != 'cuda':
arch_libdir = self._detect_arch_libdir()
self.libdir = os.path.join(self.cuda_path, arch_libdir)
mlog.debug('CUDA library directory is', mlog.bold(self.libdir))
else:
self.libdir = None
self.is_found = self._find_requested_libraries()
@classmethod
def _detect_language(cls, compilers: T.Dict[str, 'Compiler']) -> str:
for lang in cls.supported_languages:
if lang in compilers:
return lang
return list(compilers.keys())[0]
def _detect_cuda_path_and_version(self) -> TV_ResultTuple:
self.env_var = self._default_path_env_var()
mlog.debug('Default path env var:', mlog.bold(self.env_var))
version_reqs = self.version_reqs
if self.language == 'cuda':
nvcc_version = self._strip_patch_version(self.get_compiler().version)
mlog.debug('nvcc version:', mlog.bold(nvcc_version))
if version_reqs:
# make sure nvcc version satisfies specified version requirements
(found_some, not_found, found) = mesonlib.version_compare_many(nvcc_version, version_reqs)
if not_found:
msg = f'The current nvcc version {nvcc_version} does not satisfy the specified CUDA Toolkit version requirements {version_reqs}.'
return self._report_dependency_error(msg, (None, None, False))
# use nvcc version to find a matching CUDA Toolkit
version_reqs = [f'={nvcc_version}']
else:
nvcc_version = None
paths = [(path, self._cuda_toolkit_version(path), default) for (path, default) in self._cuda_paths()]
if version_reqs:
return self._find_matching_toolkit(paths, version_reqs, nvcc_version)
defaults = [(path, version) for (path, version, default) in paths if default]
if defaults:
return (defaults[0][0], defaults[0][1], True)
platform_msg = 'set the CUDA_PATH environment variable' if self._is_windows() \
else 'set the CUDA_PATH environment variable/create the \'/usr/local/cuda\' symbolic link'
msg = f'Please specify the desired CUDA Toolkit version (e.g. dependency(\'cuda\', version : \'>=10.1\')) or {platform_msg} to point to the location of your desired version.'
return self._report_dependency_error(msg, (None, None, False))
def _find_matching_toolkit(self, paths: T.List[TV_ResultTuple], version_reqs: T.List[str], nvcc_version: T.Optional[str]) -> TV_ResultTuple:
# keep the default paths order intact, sort the rest in the descending order
# according to the toolkit version
part_func: T.Callable[[TV_ResultTuple], bool] = lambda t: not t[2]
defaults_it, rest_it = mesonlib.partition(part_func, paths)
defaults = list(defaults_it)
paths = defaults + sorted(rest_it, key=lambda t: mesonlib.Version(t[1]), reverse=True)
mlog.debug(f'Search paths: {paths}')
if nvcc_version and defaults:
default_src = f"the {self.env_var} environment variable" if self.env_var else "the \'/usr/local/cuda\' symbolic link"
nvcc_warning = 'The default CUDA Toolkit as designated by {} ({}) doesn\'t match the current nvcc version {} and will be ignored.'.format(default_src, os.path.realpath(defaults[0][0]), nvcc_version)
else:
nvcc_warning = None
for (path, version, default) in paths:
(found_some, not_found, found) = mesonlib.version_compare_many(version, version_reqs)
if not not_found:
if not default and nvcc_warning:
mlog.warning(nvcc_warning)
return (path, version, True)
if nvcc_warning:
mlog.warning(nvcc_warning)
return (None, None, False)
def _default_path_env_var(self) -> T.Optional[str]:
env_vars = ['CUDA_PATH'] if self._is_windows() else ['CUDA_PATH', 'CUDA_HOME', 'CUDA_ROOT']
env_vars = [var for var in env_vars if var in os.environ]
user_defaults = {os.environ[var] for var in env_vars}
if len(user_defaults) > 1:
mlog.warning('Environment variables {} point to conflicting toolkit locations ({}). Toolkit selection might produce unexpected results.'.format(', '.join(env_vars), ', '.join(user_defaults)))
return env_vars[0] if env_vars else None
def _cuda_paths(self) -> T.List[T.Tuple[str, bool]]:
return ([(os.environ[self.env_var], True)] if self.env_var else []) \
+ (self._cuda_paths_win() if self._is_windows() else self._cuda_paths_nix())
def _cuda_paths_win(self) -> T.List[T.Tuple[str, bool]]:
env_vars = os.environ.keys()
return [(os.environ[var], False) for var in env_vars if var.startswith('CUDA_PATH_')]
def _cuda_paths_nix(self) -> T.List[T.Tuple[str, bool]]:
# include /usr/local/cuda default only if no env_var was found
pattern = '/usr/local/cuda-*' if self.env_var else '/usr/local/cuda*'
return [(path, os.path.basename(path) == 'cuda') for path in glob.iglob(pattern)]
toolkit_version_regex = re.compile(r'^CUDA Version\s+(.*)$')
path_version_win_regex = re.compile(r'^v(.*)$')
path_version_nix_regex = re.compile(r'^cuda-(.*)$')
cudart_version_regex = re.compile(r'#define\s+CUDART_VERSION\s+([0-9]+)')
def _cuda_toolkit_version(self, path: str) -> str:
version = self._read_toolkit_version_txt(path)
if version:
return version
version = self._read_cuda_runtime_api_version(path)
if version:
return version
mlog.debug('Falling back to extracting version from path')
path_version_regex = self.path_version_win_regex if self._is_windows() else self.path_version_nix_regex
try:
m = path_version_regex.match(os.path.basename(path))
if m:
return m.group(1)
else:
mlog.warning(f'Could not detect CUDA Toolkit version for {path}')
except Exception as e:
mlog.warning('Could not detect CUDA Toolkit version for {}: {}'.format(path, str(e)))
return '0.0'
def _read_cuda_runtime_api_version(self, path_str: str) -> T.Optional[str]:
path = Path(path_str)
for i in path.rglob('cuda_runtime_api.h'):
raw = i.read_text(encoding='utf-8')
m = self.cudart_version_regex.search(raw)
if not m:
continue
try:
vers_int = int(m.group(1))
except ValueError:
continue
# use // for floor instead of / which produces a float
major = vers_int // 1000 # type: int
minor = (vers_int - major * 1000) // 10 # type: int
return f'{major}.{minor}'
return None
def _read_toolkit_version_txt(self, path: str) -> T.Optional[str]:
# Read 'version.txt' at the root of the CUDA Toolkit directory to determine the tookit version
version_file_path = os.path.join(path, 'version.txt')
try:
with open(version_file_path, encoding='utf-8') as version_file:
version_str = version_file.readline() # e.g. 'CUDA Version 10.1.168'
m = self.toolkit_version_regex.match(version_str)
if m:
return self._strip_patch_version(m.group(1))
except Exception as e:
mlog.debug('Could not read CUDA Toolkit\'s version file {}: {}'.format(version_file_path, str(e)))
return None
@classmethod
def _strip_patch_version(cls, version: str) -> str:
return '.'.join(version.split('.')[:2])
def _detect_arch_libdir(self) -> str:
arch = detect_cpu_family(self.env.coredata.compilers.host)
machine = self.env.machines[self.for_machine]
msg = '{} architecture is not supported in {} version of the CUDA Toolkit.'
if machine.is_windows():
libdirs = {'x86': 'Win32', 'x86_64': 'x64'}
if arch not in libdirs:
raise DependencyException(msg.format(arch, 'Windows'))
return os.path.join('lib', libdirs[arch])
elif machine.is_linux():
libdirs = {'x86_64': 'lib64', 'ppc64': 'lib', 'aarch64': 'lib64', 'loongarch64': 'lib64'}
if arch not in libdirs:
raise DependencyException(msg.format(arch, 'Linux'))
return libdirs[arch]
elif machine.is_darwin():
libdirs = {'x86_64': 'lib64'}
if arch not in libdirs:
raise DependencyException(msg.format(arch, 'macOS'))
return libdirs[arch]
else:
raise DependencyException('CUDA Toolkit: unsupported platform.')
def _find_requested_libraries(self) -> bool:
all_found = True
for module in self.requested_modules:
args = self.clib_compiler.find_library(module, self.env, [self.libdir] if self.libdir else [])
if args is None:
self._report_dependency_error(f'Couldn\'t find requested CUDA module \'{module}\'')
all_found = False
else:
mlog.debug(f'Link args for CUDA module \'{module}\' are {args}')
self.lib_modules[module] = args
return all_found
def _is_windows(self) -> bool:
return self.env.machines[self.for_machine].is_windows()
@T.overload
def _report_dependency_error(self, msg: str) -> None: ...
@T.overload
def _report_dependency_error(self, msg: str, ret_val: TV_ResultTuple) -> TV_ResultTuple: ...
def _report_dependency_error(self, msg: str, ret_val: T.Optional[TV_ResultTuple] = None) -> T.Optional[TV_ResultTuple]:
if self.required:
raise DependencyException(msg)
mlog.debug(msg)
return ret_val
def log_details(self) -> str:
module_str = ', '.join(self.requested_modules)
return 'modules: ' + module_str
def log_info(self) -> str:
return self.cuda_path if self.cuda_path else ''
def get_requested(self, kwargs: T.Dict[str, T.Any]) -> T.List[str]:
candidates = mesonlib.extract_as_list(kwargs, 'modules')
for c in candidates:
if not isinstance(c, str):
raise DependencyException('CUDA module argument is not a string.')
return candidates
def get_link_args(self, language: T.Optional[str] = None, raw: bool = False) -> T.List[str]:
args = []
if self.libdir:
args += self.clib_compiler.get_linker_search_args(self.libdir)
for lib in self.requested_modules:
args += self.lib_modules[lib]
return args