# SPDX-License-Identifier: Apache-2.0 # Copyright 2017 The Meson development team from __future__ import annotations 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) 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] driver_version_table = [ {'cuda_version': '>=12.0.0', 'windows': '527.41', 'linux': '525.60.13'}, {'cuda_version': '>=11.8.0', 'windows': '522.06', 'linux': '520.61.05'}, {'cuda_version': '>=11.7.1', 'windows': '516.31', 'linux': '515.48.07'}, {'cuda_version': '>=11.7.0', 'windows': '516.01', 'linux': '515.43.04'}, {'cuda_version': '>=11.6.1', 'windows': '511.65', 'linux': '510.47.03'}, {'cuda_version': '>=11.6.0', 'windows': '511.23', 'linux': '510.39.01'}, {'cuda_version': '>=11.5.1', 'windows': '496.13', 'linux': '495.29.05'}, {'cuda_version': '>=11.5.0', 'windows': '496.04', 'linux': '495.29.05'}, {'cuda_version': '>=11.4.3', 'windows': '472.50', 'linux': '470.82.01'}, {'cuda_version': '>=11.4.1', 'windows': '471.41', 'linux': '470.57.02'}, {'cuda_version': '>=11.4.0', 'windows': '471.11', 'linux': '470.42.01'}, {'cuda_version': '>=11.3.0', 'windows': '465.89', 'linux': '465.19.01'}, {'cuda_version': '>=11.2.2', 'windows': '461.33', 'linux': '460.32.03'}, {'cuda_version': '>=11.2.1', 'windows': '461.09', 'linux': '460.32.03'}, {'cuda_version': '>=11.2.0', 'windows': '460.82', 'linux': '460.27.03'}, {'cuda_version': '>=11.1.1', 'windows': '456.81', 'linux': '455.32'}, {'cuda_version': '>=11.1.0', 'windows': '456.38', 'linux': '455.23'}, {'cuda_version': '>=11.0.3', 'windows': '451.82', 'linux': '450.51.06'}, {'cuda_version': '>=11.0.2', 'windows': '451.48', 'linux': '450.51.05'}, {'cuda_version': '>=11.0.1', 'windows': '451.22', 'linux': '450.36.06'}, {'cuda_version': '>=10.2.89', 'windows': '441.22', 'linux': '440.33'}, {'cuda_version': '>=10.1.105', 'windows': '418.96', 'linux': '418.39'}, {'cuda_version': '>=10.0.130', 'windows': '411.31', 'linux': '410.48'}, {'cuda_version': '>=9.2.148', 'windows': '398.26', 'linux': '396.37'}, {'cuda_version': '>=9.2.88', 'windows': '397.44', 'linux': '396.26'}, {'cuda_version': '>=9.1.85', 'windows': '391.29', 'linux': '390.46'}, {'cuda_version': '>=9.0.76', 'windows': '385.54', 'linux': '384.81'}, {'cuda_version': '>=8.0.61', 'windows': '376.51', 'linux': '375.26'}, {'cuda_version': '>=8.0.44', 'windows': '369.30', 'linux': '367.48'}, {'cuda_version': '>=7.5.16', 'windows': '353.66', 'linux': '352.31'}, {'cuda_version': '>=7.0.28', 'windows': '347.62', 'linux': '346.46'}, ] driver_version = 'unknown' for d in driver_version_table: if version_compare(cuda_version, d['cuda_version']): driver_version = d.get(state.environment.machines.host.system, d['linux']) break return driver_version @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 = ['Fermi', 'Kepler', 'Maxwell'] # 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 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 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']), }.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)