| # SPDX-License-Identifier: Apache-2.0 |
| # Copyright 2017-2025 The Meson development team |
| |
| from __future__ import annotations |
| |
| import dataclasses |
| import re |
| import typing as T |
| |
| from ..mesonlib import listify, version_compare |
| from ..compilers.cuda import CudaCompiler |
| from ..interpreter.type_checking import NoneType |
| |
| from . import NewExtensionModule, ModuleInfo |
| |
| from ..interpreterbase import ( |
| ContainerTypeInfo, InvalidArguments, KwargInfo, noKwargs, typed_kwargs, typed_pos_args, |
| ) |
| |
| if T.TYPE_CHECKING: |
| from typing_extensions import TypedDict |
| |
| from . import ModuleState |
| from ..interpreter import Interpreter |
| from ..interpreterbase import TYPE_var |
| |
| class ArchFlagsKwargs(TypedDict): |
| detected: T.Optional[T.List[str]] |
| |
| AutoArch = T.Union[str, T.List[str]] |
| |
| |
| DETECTED_KW: KwargInfo[T.Union[None, T.List[str]]] = KwargInfo('detected', (ContainerTypeInfo(list, str), NoneType), listify=True) |
| |
| |
| @dataclasses.dataclass |
| class _CudaVersion: |
| |
| meson: str |
| windows: str |
| linux: str |
| |
| def compare(self, version: str, machine: str) -> T.Optional[str]: |
| if version_compare(version, f'>={self.meson}'): |
| return self.windows if machine == 'windows' else self.linux |
| return None |
| |
| |
| # Copied from: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#id7 |
| _DRIVER_TABLE_VERSION: T.List[_CudaVersion] = [ |
| _CudaVersion('13.0.2', 'unknown', '580.95.05'), |
| _CudaVersion('13.0.1', 'unknown', '580.82.07'), |
| _CudaVersion('13.0.0', 'unknown', '580.65.06'), |
| _CudaVersion('12.9.1', '576.57', '575.57.08'), |
| _CudaVersion('12.9.0', '576.02', '575.51.03'), |
| _CudaVersion('12.8.1', '572.61', '570.124.06'), |
| _CudaVersion('12.8.0', '570.65', '570.26'), |
| _CudaVersion('12.6.3', '561.17', '560.35.05'), |
| _CudaVersion('12.6.2', '560.94', '560.35.03'), |
| _CudaVersion('12.6.1', '560.94', '560.35.03'), |
| _CudaVersion('12.6.0', '560.76', '560.28.03'), |
| _CudaVersion('12.5.1', '555.85', '555.42.06'), |
| _CudaVersion('12.5.0', '555.85', '555.42.02'), |
| _CudaVersion('12.4.1', '551.78', '550.54.15'), |
| _CudaVersion('12.4.0', '551.61', '550.54.14'), |
| _CudaVersion('12.3.1', '546.12', '545.23.08'), |
| _CudaVersion('12.3.0', '545.84', '545.23.06'), |
| _CudaVersion('12.2.2', '537.13', '535.104.05'), |
| _CudaVersion('12.2.1', '536.67', '535.86.09'), |
| _CudaVersion('12.2.0', '536.25', '535.54.03'), |
| _CudaVersion('12.1.1', '531.14', '530.30.02'), |
| _CudaVersion('12.1.0', '531.14', '530.30.02'), |
| _CudaVersion('12.0.1', '528.33', '525.85.11'), |
| _CudaVersion('12.0.0', '527.41', '525.60.13'), |
| _CudaVersion('11.8.0', '522.06', '520.61.05'), |
| _CudaVersion('11.7.1', '516.31', '515.48.07'), |
| _CudaVersion('11.7.0', '516.01', '515.43.04'), |
| _CudaVersion('11.6.1', '511.65', '510.47.03'), # 11.6.2 is identical |
| _CudaVersion('11.6.0', '511.23', '510.39.01'), |
| _CudaVersion('11.5.1', '496.13', '495.29.05'), # 11.5.2 is identical |
| _CudaVersion('11.5.0', '496.04', '495.29.05'), |
| _CudaVersion('11.4.3', '472.50', '470.82.01'), # 11.4.4 is identical |
| _CudaVersion('11.4.1', '471.41', '470.57.02'), # 11.4.2 is identical |
| _CudaVersion('11.4.0', '471.11', '470.42.01'), |
| _CudaVersion('11.3.0', '465.89', '465.19.01'), # 11.3.1 is identical |
| _CudaVersion('11.2.2', '461.33', '460.32.03'), |
| _CudaVersion('11.2.1', '461.09', '460.32.03'), |
| _CudaVersion('11.2.0', '460.82', '460.27.03'), |
| _CudaVersion('11.1.1', '456.81', '455.32'), |
| _CudaVersion('11.1.0', '456.38', '455.23'), |
| _CudaVersion('11.0.3', '451.82', '450.51.06'), # 11.0.3.1 is identical |
| _CudaVersion('11.0.2', '451.48', '450.51.05'), |
| _CudaVersion('11.0.1', '451.22', '450.36.06'), |
| _CudaVersion('10.2.89', '441.22', '440.33'), |
| _CudaVersion('10.1.105', '418.96', '418.39'), |
| _CudaVersion('10.0.130', '411.31', '410.48'), |
| _CudaVersion('9.2.148', '398.26', '396.37'), |
| _CudaVersion('9.2.88', '397.44', '396.26'), |
| _CudaVersion('9.1.85', '391.29', '390.46'), |
| _CudaVersion('9.0.76', '385.54', '384.81'), |
| _CudaVersion('8.0.61', '376.51', '375.26'), |
| _CudaVersion('8.0.44', '369.30', '367.48'), |
| _CudaVersion('7.5.16', '353.66', '352.31'), |
| _CudaVersion('7.0.28', '347.62', '346.46'), |
| ] |
| |
| class CudaModule(NewExtensionModule): |
| |
| INFO = ModuleInfo('CUDA', '0.50.0', unstable=True) |
| |
| def __init__(self, interp: Interpreter): |
| super().__init__() |
| self.methods.update({ |
| "min_driver_version": self.min_driver_version, |
| "nvcc_arch_flags": self.nvcc_arch_flags, |
| "nvcc_arch_readable": self.nvcc_arch_readable, |
| }) |
| |
| @noKwargs |
| def min_driver_version(self, state: 'ModuleState', |
| args: T.List[TYPE_var], |
| kwargs: T.Dict[str, T.Any]) -> str: |
| argerror = InvalidArguments('min_driver_version must have exactly one positional argument: ' + |
| 'a CUDA Toolkit version string. Beware that, since CUDA 11.0, ' + |
| 'the CUDA Toolkit\'s components (including NVCC) are versioned ' + |
| 'independently from each other (and the CUDA Toolkit as a whole).') |
| if len(args) != 1 or not isinstance(args[0], str): |
| raise argerror |
| |
| cuda_version = args[0] |
| |
| for d in _DRIVER_TABLE_VERSION: |
| driver_version = d.compare(cuda_version, state.environment.machines.host.system) |
| if driver_version is not None: |
| return driver_version |
| return 'unknown' |
| |
| @typed_pos_args('cuda.nvcc_arch_flags', (str, CudaCompiler), varargs=str) |
| @typed_kwargs('cuda.nvcc_arch_flags', DETECTED_KW) |
| def nvcc_arch_flags(self, state: 'ModuleState', |
| args: T.Tuple[T.Union[CudaCompiler, str], T.List[str]], |
| kwargs: ArchFlagsKwargs) -> T.List[str]: |
| nvcc_arch_args = self._validate_nvcc_arch_args(args, kwargs) |
| ret = self._nvcc_arch_flags(*nvcc_arch_args)[0] |
| return ret |
| |
| @typed_pos_args('cuda.nvcc_arch_readable', (str, CudaCompiler), varargs=str) |
| @typed_kwargs('cuda.nvcc_arch_readable', DETECTED_KW) |
| def nvcc_arch_readable(self, state: 'ModuleState', |
| args: T.Tuple[T.Union[CudaCompiler, str], T.List[str]], |
| kwargs: ArchFlagsKwargs) -> T.List[str]: |
| nvcc_arch_args = self._validate_nvcc_arch_args(args, kwargs) |
| ret = self._nvcc_arch_flags(*nvcc_arch_args)[1] |
| return ret |
| |
| @staticmethod |
| def _break_arch_string(s: str) -> T.List[str]: |
| s = re.sub('[ \t\r\n,;]+', ';', s) |
| return s.strip(';').split(';') |
| |
| @staticmethod |
| def _detected_cc_from_compiler(c: T.Union[str, CudaCompiler]) -> T.List[str]: |
| if isinstance(c, CudaCompiler): |
| return [c.detected_cc] |
| return [] |
| |
| def _validate_nvcc_arch_args(self, args: T.Tuple[T.Union[str, CudaCompiler], T.List[str]], |
| kwargs: ArchFlagsKwargs) -> T.Tuple[str, AutoArch, T.List[str]]: |
| |
| compiler = args[0] |
| if isinstance(compiler, CudaCompiler): |
| cuda_version = compiler.version |
| else: |
| cuda_version = compiler |
| |
| arch_list: AutoArch = args[1] |
| arch_list = listify([self._break_arch_string(a) for a in arch_list]) |
| if len(arch_list) > 1 and not set(arch_list).isdisjoint({'All', 'Common', 'Auto'}): |
| raise InvalidArguments('''The special architectures 'All', 'Common' and 'Auto' must appear alone, as a positional argument!''') |
| arch_list = arch_list[0] if len(arch_list) == 1 else arch_list |
| |
| detected = kwargs['detected'] if kwargs['detected'] is not None else self._detected_cc_from_compiler(compiler) |
| detected = [x for a in detected for x in self._break_arch_string(a)] |
| if not set(detected).isdisjoint({'All', 'Common', 'Auto'}): |
| raise InvalidArguments('''The special architectures 'All', 'Common' and 'Auto' must appear alone, as a positional argument!''') |
| |
| return cuda_version, arch_list, detected |
| |
| def _filter_cuda_arch_list(self, cuda_arch_list: T.List[str], lo: str, hi: T.Optional[str], saturate: str) -> T.List[str]: |
| """ |
| Filter CUDA arch list (no codenames) for >= low and < hi architecture |
| bounds, and deduplicate. |
| Architectures >= hi are replaced with saturate. |
| """ |
| |
| filtered_cuda_arch_list = [] |
| for arch in cuda_arch_list: |
| if arch: |
| if lo and version_compare(arch, '<' + lo): |
| continue |
| if hi and version_compare(arch, '>=' + hi): |
| arch = saturate |
| if arch not in filtered_cuda_arch_list: |
| filtered_cuda_arch_list.append(arch) |
| return filtered_cuda_arch_list |
| |
| def _nvcc_arch_flags(self, cuda_version: str, cuda_arch_list: AutoArch, detected: T.List[str]) -> T.Tuple[T.List[str], T.List[str]]: |
| """ |
| Using the CUDA Toolkit version and the target architectures, compute |
| the NVCC architecture flags. |
| """ |
| |
| # Replicates much of the logic of |
| # https://github.com/Kitware/CMake/blob/master/Modules/FindCUDA/select_compute_arch.cmake |
| # except that a bug with cuda_arch_list="All" is worked around by |
| # tracking both lower and upper limits on GPU architectures. |
| |
| cuda_known_gpu_architectures = [] # noqa: E221 |
| cuda_common_gpu_architectures = ['3.0', '3.5', '5.0'] # noqa: E221 |
| cuda_hi_limit_gpu_architecture = None # noqa: E221 |
| cuda_lo_limit_gpu_architecture = '2.0' # noqa: E221 |
| cuda_all_gpu_architectures = ['3.0', '3.2', '3.5', '5.0'] # noqa: E221 |
| |
| # Fermi and Kepler support have been dropped since 12.0 |
| if version_compare(cuda_version, '<12.0'): |
| cuda_known_gpu_architectures.extend(['Fermi', 'Kepler']) |
| |
| # Everything older than Turing is dropped by 13.0 |
| if version_compare(cuda_version, '<13.0'): |
| cuda_known_gpu_architectures.append('Maxwell') |
| |
| if version_compare(cuda_version, '<7.0'): |
| cuda_hi_limit_gpu_architecture = '5.2' |
| |
| if version_compare(cuda_version, '>=7.0'): |
| cuda_known_gpu_architectures += ['Kepler+Tegra', 'Kepler+Tesla', 'Maxwell+Tegra'] # noqa: E221 |
| cuda_common_gpu_architectures += ['5.2'] # noqa: E221 |
| |
| if version_compare(cuda_version, '<8.0'): |
| cuda_common_gpu_architectures += ['5.2+PTX'] # noqa: E221 |
| cuda_hi_limit_gpu_architecture = '6.0' # noqa: E221 |
| |
| if version_compare(cuda_version, '>=8.0'): |
| cuda_known_gpu_architectures += ['Pascal', 'Pascal+Tegra'] # noqa: E221 |
| cuda_common_gpu_architectures += ['6.0', '6.1'] # noqa: E221 |
| cuda_all_gpu_architectures += ['6.0', '6.1', '6.2'] # noqa: E221 |
| |
| if version_compare(cuda_version, '<9.0'): |
| cuda_common_gpu_architectures += ['6.1+PTX'] # noqa: E221 |
| cuda_hi_limit_gpu_architecture = '7.0' # noqa: E221 |
| |
| if version_compare(cuda_version, '>=9.0'): |
| cuda_known_gpu_architectures += ['Volta', 'Xavier'] # noqa: E221 |
| cuda_common_gpu_architectures += ['7.0'] # noqa: E221 |
| cuda_all_gpu_architectures += ['7.0', '7.2'] # noqa: E221 |
| # https://docs.nvidia.com/cuda/archive/9.0/cuda-toolkit-release-notes/index.html#unsupported-features |
| cuda_lo_limit_gpu_architecture = '3.0' # noqa: E221 |
| |
| if version_compare(cuda_version, '<10.0'): |
| cuda_common_gpu_architectures += ['7.2+PTX'] # noqa: E221 |
| cuda_hi_limit_gpu_architecture = '8.0' # noqa: E221 |
| |
| if version_compare(cuda_version, '>=10.0'): |
| cuda_known_gpu_architectures += ['Turing'] # noqa: E221 |
| cuda_common_gpu_architectures += ['7.5'] # noqa: E221 |
| cuda_all_gpu_architectures += ['7.5'] # noqa: E221 |
| |
| if version_compare(cuda_version, '<11.0'): |
| cuda_common_gpu_architectures += ['7.5+PTX'] # noqa: E221 |
| cuda_hi_limit_gpu_architecture = '8.0' # noqa: E221 |
| |
| # need to account for the fact that Ampere is commonly assumed to include |
| # SM8.0 and SM8.6 even though CUDA 11.0 doesn't support SM8.6 |
| cuda_ampere_bin = ['8.0'] |
| cuda_ampere_ptx = ['8.0'] |
| if version_compare(cuda_version, '>=11.0'): |
| cuda_known_gpu_architectures += ['Ampere'] # noqa: E221 |
| cuda_common_gpu_architectures += ['8.0'] # noqa: E221 |
| cuda_all_gpu_architectures += ['8.0'] # noqa: E221 |
| # https://docs.nvidia.com/cuda/archive/11.0/cuda-toolkit-release-notes/index.html#deprecated-features |
| cuda_lo_limit_gpu_architecture = '3.5' # noqa: E221 |
| |
| if version_compare(cuda_version, '<11.1'): |
| cuda_common_gpu_architectures += ['8.0+PTX'] # noqa: E221 |
| cuda_hi_limit_gpu_architecture = '8.6' # noqa: E221 |
| |
| if version_compare(cuda_version, '>=11.1'): |
| cuda_ampere_bin += ['8.6'] # noqa: E221 |
| cuda_ampere_ptx = ['8.6'] # noqa: E221 |
| |
| cuda_common_gpu_architectures += ['8.6'] # noqa: E221 |
| cuda_all_gpu_architectures += ['8.6'] # noqa: E221 |
| |
| if version_compare(cuda_version, '<11.8'): |
| cuda_common_gpu_architectures += ['8.6+PTX'] # noqa: E221 |
| cuda_hi_limit_gpu_architecture = '8.7' # noqa: E221 |
| |
| if version_compare(cuda_version, '>=11.8'): |
| cuda_known_gpu_architectures += ['Orin', 'Lovelace', 'Hopper'] # noqa: E221 |
| cuda_common_gpu_architectures += ['8.9', '9.0', '9.0+PTX'] # noqa: E221 |
| cuda_all_gpu_architectures += ['8.7', '8.9', '9.0'] # noqa: E221 |
| |
| if version_compare(cuda_version, '<12'): |
| cuda_hi_limit_gpu_architecture = '9.1' # noqa: E221 |
| |
| if version_compare(cuda_version, '>=12.0'): |
| # https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#deprecated-features (Current) |
| # https://docs.nvidia.com/cuda/archive/12.0/cuda-toolkit-release-notes/index.html#deprecated-features (Eventual?) |
| cuda_lo_limit_gpu_architecture = '5.0' # noqa: E221 |
| |
| if version_compare(cuda_version, '<13'): |
| cuda_hi_limit_gpu_architecture = '10.0' # noqa: E221 |
| |
| if version_compare(cuda_version, '>=12.8'): |
| cuda_known_gpu_architectures.append('Blackwell') |
| cuda_common_gpu_architectures.extend(['10.0', '12.0']) |
| cuda_all_gpu_architectures.extend(['10.0', '12.0']) |
| |
| if version_compare(cuda_version, '<13'): |
| # Yes, 12.8 and 12.9 support 10.1, but 13.0 doesn't |
| cuda_common_gpu_architectures.append('10.1') |
| cuda_all_gpu_architectures.append('10.1') |
| cuda_hi_limit_gpu_architecture = '12.1' |
| |
| if version_compare(cuda_version, '>=12.9'): |
| cuda_common_gpu_architectures.extend(['10.3', '12.1']) |
| cuda_all_gpu_architectures.extend(['10.3', '12.1']) |
| |
| if version_compare(cuda_version, '>=13.0'): |
| cuda_common_gpu_architectures.append('11.0') |
| cuda_all_gpu_architectures.append('11.0') |
| cuda_lo_limit_gpu_architecture = '7.5' |
| |
| if version_compare(cuda_version, '<14'): |
| cuda_hi_limit_gpu_architecture = '12.1' |
| |
| if not cuda_arch_list: |
| cuda_arch_list = 'Auto' |
| |
| if cuda_arch_list == 'All': # noqa: E271 |
| cuda_arch_list = cuda_known_gpu_architectures |
| elif cuda_arch_list == 'Common': # noqa: E271 |
| cuda_arch_list = cuda_common_gpu_architectures |
| elif cuda_arch_list == 'Auto': # noqa: E271 |
| if detected: |
| if isinstance(detected, list): |
| cuda_arch_list = detected |
| else: |
| cuda_arch_list = self._break_arch_string(detected) |
| cuda_arch_list = self._filter_cuda_arch_list(cuda_arch_list, |
| cuda_lo_limit_gpu_architecture, |
| cuda_hi_limit_gpu_architecture, |
| cuda_common_gpu_architectures[-1]) |
| else: |
| cuda_arch_list = cuda_common_gpu_architectures |
| elif isinstance(cuda_arch_list, str): |
| cuda_arch_list = self._break_arch_string(cuda_arch_list) |
| |
| cuda_arch_list = sorted(x for x in set(cuda_arch_list) if x) |
| |
| cuda_arch_bin: T.List[str] = [] |
| cuda_arch_ptx: T.List[str] = [] |
| for arch_name in cuda_arch_list: |
| arch_bin: T.Optional[T.List[str]] |
| arch_ptx: T.Optional[T.List[str]] |
| add_ptx = arch_name.endswith('+PTX') |
| if add_ptx: |
| arch_name = arch_name[:-len('+PTX')] |
| |
| if re.fullmatch('[0-9]+\\.[0-9](\\([0-9]+\\.[0-9]\\))?', arch_name): |
| arch_bin, arch_ptx = [arch_name], [arch_name] |
| else: |
| arch_bin, arch_ptx = { |
| 'Fermi': (['2.0', '2.1(2.0)'], []), |
| 'Kepler+Tegra': (['3.2'], []), |
| 'Kepler+Tesla': (['3.7'], []), |
| 'Kepler': (['3.0', '3.5'], ['3.5']), |
| 'Maxwell+Tegra': (['5.3'], []), |
| 'Maxwell': (['5.0', '5.2'], ['5.2']), |
| 'Pascal': (['6.0', '6.1'], ['6.1']), |
| 'Pascal+Tegra': (['6.2'], []), |
| 'Volta': (['7.0'], ['7.0']), |
| 'Xavier': (['7.2'], []), |
| 'Turing': (['7.5'], ['7.5']), |
| 'Ampere': (cuda_ampere_bin, cuda_ampere_ptx), |
| 'Orin': (['8.7'], []), |
| 'Lovelace': (['8.9'], ['8.9']), |
| 'Hopper': (['9.0'], ['9.0']), |
| 'Blackwell': (['10.0'], ['10.0']), |
| }.get(arch_name, (None, None)) |
| |
| if arch_bin is None: |
| raise InvalidArguments(f'Unknown CUDA Architecture Name {arch_name}!') |
| |
| cuda_arch_bin += arch_bin |
| |
| if add_ptx: |
| if not arch_ptx: |
| arch_ptx = arch_bin |
| cuda_arch_ptx += arch_ptx |
| |
| cuda_arch_bin = sorted(set(cuda_arch_bin)) |
| cuda_arch_ptx = sorted(set(cuda_arch_ptx)) |
| |
| nvcc_flags = [] |
| nvcc_archs_readable = [] |
| |
| for arch in cuda_arch_bin: |
| arch, codev = re.fullmatch( |
| '([0-9]+\\.[0-9])(?:\\(([0-9]+\\.[0-9])\\))?', arch).groups() |
| |
| if version_compare(arch, '<' + cuda_lo_limit_gpu_architecture): |
| continue |
| if cuda_hi_limit_gpu_architecture and version_compare(arch, '>=' + cuda_hi_limit_gpu_architecture): |
| continue |
| |
| if codev: |
| arch = arch.replace('.', '') |
| codev = codev.replace('.', '') |
| nvcc_flags += ['-gencode', 'arch=compute_' + codev + ',code=sm_' + arch] |
| nvcc_archs_readable += ['sm_' + arch] |
| else: |
| arch = arch.replace('.', '') |
| nvcc_flags += ['-gencode', 'arch=compute_' + arch + ',code=sm_' + arch] |
| nvcc_archs_readable += ['sm_' + arch] |
| |
| for arch in cuda_arch_ptx: |
| arch, codev = re.fullmatch( |
| '([0-9]+\\.[0-9])(?:\\(([0-9]+\\.[0-9])\\))?', arch).groups() |
| |
| if codev: |
| arch = codev |
| |
| if version_compare(arch, '<' + cuda_lo_limit_gpu_architecture): |
| continue |
| if cuda_hi_limit_gpu_architecture and version_compare(arch, '>=' + cuda_hi_limit_gpu_architecture): |
| continue |
| |
| arch = arch.replace('.', '') |
| nvcc_flags += ['-gencode', 'arch=compute_' + arch + ',code=compute_' + arch] |
| nvcc_archs_readable += ['compute_' + arch] |
| |
| return nvcc_flags, nvcc_archs_readable |
| |
| def initialize(interp: Interpreter) -> CudaModule: |
| return CudaModule(interp) |
