The Meson Build System
http://mesonbuild.com/
272 lines
12 KiB
272 lines
12 KiB
5 years ago
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# Copyright 2017 The Meson development team
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import re
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from ..mesonlib import version_compare
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from ..interpreter import CompilerHolder
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from ..compilers import CudaCompiler
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from . import ExtensionModule, ModuleReturnValue
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from ..interpreterbase import (
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flatten, permittedKwargs, noKwargs,
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InvalidArguments, FeatureNew
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)
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class CudaModule(ExtensionModule):
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@FeatureNew('CUDA module', '0.50.0')
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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@noKwargs
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def min_driver_version(self, state, args, kwargs):
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argerror = InvalidArguments('min_driver_version must have exactly one positional argument: ' +
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'an NVCC compiler object, or its version string.')
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if len(args) != 1:
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raise argerror
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else:
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cuda_version = self._version_from_compiler(args[0])
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if cuda_version == 'unknown':
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raise argerror
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driver_version_table = [
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{'cuda_version': '>=10.2.89', 'windows': '441.22', 'linux': '440.33'},
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{'cuda_version': '>=10.1.105', 'windows': '418.96', 'linux': '418.39'},
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{'cuda_version': '>=10.0.130', 'windows': '411.31', 'linux': '410.48'},
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{'cuda_version': '>=9.2.148', 'windows': '398.26', 'linux': '396.37'},
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{'cuda_version': '>=9.2.88', 'windows': '397.44', 'linux': '396.26'},
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{'cuda_version': '>=9.1.85', 'windows': '391.29', 'linux': '390.46'},
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{'cuda_version': '>=9.0.76', 'windows': '385.54', 'linux': '384.81'},
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{'cuda_version': '>=8.0.61', 'windows': '376.51', 'linux': '375.26'},
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{'cuda_version': '>=8.0.44', 'windows': '369.30', 'linux': '367.48'},
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{'cuda_version': '>=7.5.16', 'windows': '353.66', 'linux': '352.31'},
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{'cuda_version': '>=7.0.28', 'windows': '347.62', 'linux': '346.46'},
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]
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driver_version = 'unknown'
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for d in driver_version_table:
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if version_compare(cuda_version, d['cuda_version']):
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driver_version = d.get(state.host_machine.system, d['linux'])
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break
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return ModuleReturnValue(driver_version, [driver_version])
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@permittedKwargs(['detected'])
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def nvcc_arch_flags(self, state, args, kwargs):
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nvcc_arch_args = self._validate_nvcc_arch_args(state, args, kwargs)
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ret = self._nvcc_arch_flags(*nvcc_arch_args)[0]
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return ModuleReturnValue(ret, [ret])
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@permittedKwargs(['detected'])
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def nvcc_arch_readable(self, state, args, kwargs):
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nvcc_arch_args = self._validate_nvcc_arch_args(state, args, kwargs)
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ret = self._nvcc_arch_flags(*nvcc_arch_args)[1]
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return ModuleReturnValue(ret, [ret])
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@staticmethod
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def _break_arch_string(s):
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s = re.sub('[ \t\r\n,;]+', ';', s)
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s = s.strip(';').split(';')
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return s
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@staticmethod
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def _detected_cc_from_compiler(c):
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if isinstance(c, CompilerHolder):
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c = c.compiler
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if isinstance(c, CudaCompiler):
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return c.detected_cc
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return ''
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@staticmethod
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def _version_from_compiler(c):
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if isinstance(c, CompilerHolder):
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c = c.compiler
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if isinstance(c, CudaCompiler):
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return c.version
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if isinstance(c, str):
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return c
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return 'unknown'
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def _validate_nvcc_arch_args(self, state, args, kwargs):
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argerror = InvalidArguments('The first argument must be an NVCC compiler object, or its version string!')
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if len(args) < 1:
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raise argerror
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else:
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compiler = args[0]
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cuda_version = self._version_from_compiler(compiler)
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if cuda_version == 'unknown':
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raise argerror
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arch_list = [] if len(args) <= 1 else flatten(args[1:])
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arch_list = [self._break_arch_string(a) for a in arch_list]
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arch_list = flatten(arch_list)
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if len(arch_list) > 1 and not set(arch_list).isdisjoint({'All', 'Common', 'Auto'}):
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raise InvalidArguments('''The special architectures 'All', 'Common' and 'Auto' must appear alone, as a positional argument!''')
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arch_list = arch_list[0] if len(arch_list) == 1 else arch_list
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detected = kwargs.get('detected', self._detected_cc_from_compiler(compiler))
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detected = flatten([detected])
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detected = [self._break_arch_string(a) for a in detected]
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detected = flatten(detected)
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if not set(detected).isdisjoint({'All', 'Common', 'Auto'}):
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raise InvalidArguments('''The special architectures 'All', 'Common' and 'Auto' must appear alone, as a positional argument!''')
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return cuda_version, arch_list, detected
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def _nvcc_arch_flags(self, cuda_version, cuda_arch_list='Auto', detected=''):
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"""
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Using the CUDA Toolkit version (the NVCC version) and the target
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architectures, compute the NVCC architecture flags.
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"""
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cuda_known_gpu_architectures = ['Fermi', 'Kepler', 'Maxwell'] # noqa: E221
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cuda_common_gpu_architectures = ['3.0', '3.5', '5.0'] # noqa: E221
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cuda_limit_gpu_architecture = None # noqa: E221
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cuda_all_gpu_architectures = ['3.0', '3.2', '3.5', '5.0'] # noqa: E221
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if version_compare(cuda_version, '<7.0'):
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cuda_limit_gpu_architecture = '5.2'
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if version_compare(cuda_version, '>=7.0'):
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cuda_known_gpu_architectures += ['Kepler+Tegra', 'Kepler+Tesla', 'Maxwell+Tegra'] # noqa: E221
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cuda_common_gpu_architectures += ['5.2'] # noqa: E221
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if version_compare(cuda_version, '<8.0'):
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cuda_common_gpu_architectures += ['5.2+PTX'] # noqa: E221
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cuda_limit_gpu_architecture = '6.0' # noqa: E221
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if version_compare(cuda_version, '>=8.0'):
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cuda_known_gpu_architectures += ['Pascal', 'Pascal+Tegra'] # noqa: E221
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cuda_common_gpu_architectures += ['6.0', '6.1'] # noqa: E221
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cuda_all_gpu_architectures += ['6.0', '6.1', '6.2'] # noqa: E221
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if version_compare(cuda_version, '<9.0'):
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cuda_common_gpu_architectures += ['6.1+PTX'] # noqa: E221
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cuda_limit_gpu_architecture = '7.0' # noqa: E221
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if version_compare(cuda_version, '>=9.0'):
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cuda_known_gpu_architectures += ['Volta', 'Xavier'] # noqa: E221
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cuda_common_gpu_architectures += ['7.0', '7.0+PTX'] # noqa: E221
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cuda_all_gpu_architectures += ['7.0', '7.0+PTX', '7.2', '7.2+PTX'] # noqa: E221
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if version_compare(cuda_version, '<10.0'):
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cuda_limit_gpu_architecture = '7.5'
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if version_compare(cuda_version, '>=10.0'):
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cuda_known_gpu_architectures += ['Turing'] # noqa: E221
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cuda_common_gpu_architectures += ['7.5', '7.5+PTX'] # noqa: E221
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cuda_all_gpu_architectures += ['7.5', '7.5+PTX'] # noqa: E221
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if version_compare(cuda_version, '<11.0'):
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cuda_limit_gpu_architecture = '8.0'
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if not cuda_arch_list:
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cuda_arch_list = 'Auto'
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if cuda_arch_list == 'All': # noqa: E271
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cuda_arch_list = cuda_known_gpu_architectures
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elif cuda_arch_list == 'Common': # noqa: E271
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cuda_arch_list = cuda_common_gpu_architectures
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elif cuda_arch_list == 'Auto': # noqa: E271
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if detected:
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if isinstance(detected, list):
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cuda_arch_list = detected
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else:
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cuda_arch_list = self._break_arch_string(detected)
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if cuda_limit_gpu_architecture:
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filtered_cuda_arch_list = []
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for arch in cuda_arch_list:
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if arch:
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if version_compare(arch, '>=' + cuda_limit_gpu_architecture):
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arch = cuda_common_gpu_architectures[-1]
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if arch not in filtered_cuda_arch_list:
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filtered_cuda_arch_list.append(arch)
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cuda_arch_list = filtered_cuda_arch_list
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else:
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cuda_arch_list = cuda_common_gpu_architectures
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elif isinstance(cuda_arch_list, str):
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cuda_arch_list = self._break_arch_string(cuda_arch_list)
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cuda_arch_list = sorted([x for x in set(cuda_arch_list) if x])
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cuda_arch_bin = []
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cuda_arch_ptx = []
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for arch_name in cuda_arch_list:
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arch_bin = []
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arch_ptx = []
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add_ptx = arch_name.endswith('+PTX')
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if add_ptx:
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arch_name = arch_name[:-len('+PTX')]
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if re.fullmatch('[0-9]+\\.[0-9](\\([0-9]+\\.[0-9]\\))?', arch_name):
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arch_bin, arch_ptx = [arch_name], [arch_name]
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else:
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arch_bin, arch_ptx = {
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'Fermi': (['2.0', '2.1(2.0)'], []),
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'Kepler+Tegra': (['3.2'], []),
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'Kepler+Tesla': (['3.7'], []),
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'Kepler': (['3.0', '3.5'], ['3.5']),
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'Maxwell+Tegra': (['5.3'], []),
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'Maxwell': (['5.0', '5.2'], ['5.2']),
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'Pascal': (['6.0', '6.1'], ['6.1']),
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'Pascal+Tegra': (['6.2'], []),
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'Volta': (['7.0'], ['7.0']),
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'Xavier': (['7.2'], []),
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'Turing': (['7.5'], ['7.5']),
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}.get(arch_name, (None, None))
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if arch_bin is None:
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raise InvalidArguments('Unknown CUDA Architecture Name {}!'
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.format(arch_name))
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cuda_arch_bin += arch_bin
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if add_ptx:
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if not arch_ptx:
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arch_ptx = arch_bin
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cuda_arch_ptx += arch_ptx
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cuda_arch_bin = re.sub('\\.', '', ' '.join(cuda_arch_bin))
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cuda_arch_ptx = re.sub('\\.', '', ' '.join(cuda_arch_ptx))
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cuda_arch_bin = re.findall('[0-9()]+', cuda_arch_bin)
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cuda_arch_ptx = re.findall('[0-9]+', cuda_arch_ptx)
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cuda_arch_bin = sorted(list(set(cuda_arch_bin)))
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cuda_arch_ptx = sorted(list(set(cuda_arch_ptx)))
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nvcc_flags = []
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nvcc_archs_readable = []
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for arch in cuda_arch_bin:
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m = re.match('([0-9]+)\\(([0-9]+)\\)', arch)
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if m:
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nvcc_flags += ['-gencode', 'arch=compute_' + m[2] + ',code=sm_' + m[1]]
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nvcc_archs_readable += ['sm_' + m[1]]
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else:
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nvcc_flags += ['-gencode', 'arch=compute_' + arch + ',code=sm_' + arch]
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nvcc_archs_readable += ['sm_' + arch]
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for arch in cuda_arch_ptx:
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nvcc_flags += ['-gencode', 'arch=compute_' + arch + ',code=compute_' + arch]
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nvcc_archs_readable += ['compute_' + arch]
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return nvcc_flags, nvcc_archs_readable
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def initialize(*args, **kwargs):
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return CudaModule(*args, **kwargs)
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