1 files changed, 291 insertions, 0 deletions
diff --git a/meson/mesonbuild/dependencies/cuda.py b/meson/mesonbuild/dependencies/cuda.py
new file mode 100644
index 000000000..6bc0f05e3
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+++ b/meson/mesonbuild/dependencies/cuda.py
@@ -0,0 +1,291 @@
+# 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(f'Could not detect CUDA Toolkit version for {path}: {e!s}')
+
+        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(f'Could not read CUDA Toolkit\'s version file {version_file_path}: {e!s}')
+
+        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