| # Copyright 2017 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. |
| from __future__ import annotations |
| |
| import typing as T |
| import re |
| |
| from ..mesonlib import version_compare |
| from ..compilers.cuda import CudaCompiler |
| |
| from . import NewExtensionModule, ModuleInfo |
| |
| from ..interpreterbase import ( |
| flatten, permittedKwargs, noKwargs, |
| InvalidArguments |
| ) |
| |
| if T.TYPE_CHECKING: |
| from . import ModuleState |
| from ..compilers import Compiler |
| |
| class CudaModule(NewExtensionModule): |
| |
| INFO = ModuleInfo('CUDA', '0.50.0', unstable=True) |
| |
| def __init__(self, *args, **kwargs): |
| 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.Tuple[str], |
| 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.host_machine.system, d['linux']) |
| break |
| |
| return driver_version |
| |
| @permittedKwargs(['detected']) |
| def nvcc_arch_flags(self, state: 'ModuleState', |
| args: T.Tuple[T.Union[Compiler, CudaCompiler, str]], |
| kwargs: T.Dict[str, T.Any]) -> T.List[str]: |
| nvcc_arch_args = self._validate_nvcc_arch_args(args, kwargs) |
| ret = self._nvcc_arch_flags(*nvcc_arch_args)[0] |
| return ret |
| |
| @permittedKwargs(['detected']) |
| def nvcc_arch_readable(self, state: 'ModuleState', |
| args: T.Tuple[T.Union[Compiler, CudaCompiler, str]], |
| kwargs: T.Dict[str, T.Any]) -> 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): |
| s = re.sub('[ \t\r\n,;]+', ';', s) |
| s = s.strip(';').split(';') |
| return s |
| |
| @staticmethod |
| def _detected_cc_from_compiler(c): |
| if isinstance(c, CudaCompiler): |
| return c.detected_cc |
| return '' |
| |
| @staticmethod |
| def _version_from_compiler(c): |
| if isinstance(c, CudaCompiler): |
| return c.version |
| if isinstance(c, str): |
| return c |
| return 'unknown' |
| |
| def _validate_nvcc_arch_args(self, args, kwargs): |
| argerror = InvalidArguments('The first argument must be an NVCC compiler object, or its version string!') |
| |
| if len(args) < 1: |
| raise argerror |
| else: |
| compiler = args[0] |
| cuda_version = self._version_from_compiler(compiler) |
| if cuda_version == 'unknown': |
| raise argerror |
| |
| arch_list = [] if len(args) <= 1 else flatten(args[1:]) |
| arch_list = [self._break_arch_string(a) for a in arch_list] |
| arch_list = flatten(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.get('detected', self._detected_cc_from_compiler(compiler)) |
| detected = flatten([detected]) |
| detected = [self._break_arch_string(a) for a in detected] |
| detected = flatten(detected) |
| 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, lo=None, hi=None, saturate=None): |
| """ |
| Filter CUDA arch list (no codenames) for >= low and < hi architecture |
| bounds, and deduplicate. |
| If saturate is provided, 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): |
| if not saturate: |
| continue |
| 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, cuda_arch_list='Auto', detected=''): |
| """ |
| 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 = [] |
| cuda_arch_ptx = [] |
| for arch_name in cuda_arch_list: |
| arch_bin = [] |
| arch_ptx = [] |
| 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(*args, **kwargs): |
| return CudaModule(*args, **kwargs) |
