The Meson Build System
http://mesonbuild.com/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
335 lines
15 KiB
335 lines
15 KiB
# 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. |
|
|
|
import re |
|
|
|
from ..mesonlib import version_compare |
|
from ..interpreter import CompilerHolder |
|
from ..compilers import CudaCompiler |
|
|
|
from . import ExtensionModule, ModuleReturnValue |
|
|
|
from ..interpreterbase import ( |
|
flatten, permittedKwargs, noKwargs, |
|
InvalidArguments, FeatureNew |
|
) |
|
|
|
class CudaModule(ExtensionModule): |
|
|
|
@FeatureNew('CUDA module', '0.50.0') |
|
def __init__(self, *args, **kwargs): |
|
super().__init__(*args, **kwargs) |
|
|
|
@noKwargs |
|
def min_driver_version(self, state, args, kwargs): |
|
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': '>=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 ModuleReturnValue(driver_version, [driver_version]) |
|
|
|
@permittedKwargs(['detected']) |
|
def nvcc_arch_flags(self, state, args, kwargs): |
|
nvcc_arch_args = self._validate_nvcc_arch_args(state, args, kwargs) |
|
ret = self._nvcc_arch_flags(*nvcc_arch_args)[0] |
|
return ModuleReturnValue(ret, [ret]) |
|
|
|
@permittedKwargs(['detected']) |
|
def nvcc_arch_readable(self, state, args, kwargs): |
|
nvcc_arch_args = self._validate_nvcc_arch_args(state, args, kwargs) |
|
ret = self._nvcc_arch_flags(*nvcc_arch_args)[1] |
|
return ModuleReturnValue(ret, [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, CompilerHolder): |
|
c = c.compiler |
|
if isinstance(c, CudaCompiler): |
|
return c.detected_cc |
|
return '' |
|
|
|
@staticmethod |
|
def _version_from_compiler(c): |
|
if isinstance(c, CompilerHolder): |
|
c = c.compiler |
|
if isinstance(c, CudaCompiler): |
|
return c.version |
|
if isinstance(c, str): |
|
return c |
|
return 'unknown' |
|
|
|
def _validate_nvcc_arch_args(self, state, 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 |
|
|
|
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_common_gpu_architectures += ['8.6', '8.6+PTX'] # noqa: E221 |
|
cuda_all_gpu_architectures += ['8.6'] # noqa: E221 |
|
|
|
if version_compare(cuda_version, '<12.0'): |
|
cuda_hi_limit_gpu_architecture = '9.0' # 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': (['8.0'], ['8.0']), |
|
}.get(arch_name, (None, None)) |
|
|
|
if arch_bin is None: |
|
raise InvalidArguments('Unknown CUDA Architecture Name {}!' |
|
.format(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(list(set(cuda_arch_bin))) |
|
cuda_arch_ptx = sorted(list(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 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 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)
|
|
|