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Python build_ext.build_extension方法代码示例

本文整理汇总了Python中setuptools.command.build_ext.build_ext.build_extension方法的典型用法代码示例。如果您正苦于以下问题:Python build_ext.build_extension方法的具体用法?Python build_ext.build_extension怎么用?Python build_ext.build_extension使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在setuptools.command.build_ext.build_ext的用法示例。


在下文中一共展示了build_ext.build_extension方法的9个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: construct_build_ext

# 需要导入模块: from setuptools.command.build_ext import build_ext [as 别名]
# 或者: from setuptools.command.build_ext.build_ext import build_extension [as 别名]
def construct_build_ext(build_ext):
    class WrappedBuildExt(build_ext):
        def run(self):
            try:
                build_ext.run(self)
            except BaseException as e:
                raise CompilingFailed(e)

        def build_extension(self, ext):
            try:
                build_ext.build_extension(self, ext)
            except BaseException as e:
                raise CompilingFailed(e)

    return WrappedBuildExt


# ============================================================
# SETUP
# ============================================================ 
开发者ID:msu-coinlab,项目名称:pymoo,代码行数:22,代码来源:setup.py

示例2: build_tf_extension

# 需要导入模块: from setuptools.command.build_ext import build_ext [as 别名]
# 或者: from setuptools.command.build_ext.build_ext import build_extension [as 别名]
def build_tf_extension(build_ext, options):
    check_tf_version()
    tf_compile_flags, tf_link_flags = get_tf_flags(
        build_ext, options['COMPILE_FLAGS'])

    tensorflow_mpi_lib.define_macros = options['MACROS']
    tensorflow_mpi_lib.include_dirs = options['INCLUDES']
    tensorflow_mpi_lib.sources = options['SOURCES'] + \
        ['horovod/tensorflow/mpi_ops.cc']
    tensorflow_mpi_lib.extra_compile_args = options['COMPILE_FLAGS'] + \
        tf_compile_flags
    tensorflow_mpi_lib.extra_link_args = options['LINK_FLAGS'] + tf_link_flags
    tensorflow_mpi_lib.library_dirs = options['LIBRARY_DIRS']
    tensorflow_mpi_lib.libraries = options['LIBRARIES']

    build_ext.build_extension(tensorflow_mpi_lib)

    # Return ABI flags used for TensorFlow compilation.  We will use this flag
    # to compile all the libraries.
    return [flag for flag in tf_compile_flags if '_GLIBCXX_USE_CXX11_ABI' in flag] 
开发者ID:mlperf,项目名称:training_results_v0.6,代码行数:22,代码来源:setup.py

示例3: build_extension

# 需要导入模块: from setuptools.command.build_ext import build_ext [as 别名]
# 或者: from setuptools.command.build_ext.build_ext import build_extension [as 别名]
def build_extension(self, ext):
        try:
            build_ext.build_extension(self, ext)
        except (CCompilerError, CompileError, DistutilsExecError) as e:
            self._unavailable(e)
            self.extensions = []  # avoid copying missing files (it would fail). 
开发者ID:fossasia,项目名称:knitlib,代码行数:8,代码来源:setup.py

示例4: build_common_extension

# 需要导入模块: from setuptools.command.build_ext import build_ext [as 别名]
# 或者: from setuptools.command.build_ext.build_ext import build_extension [as 别名]
def build_common_extension(build_ext, options, abi_compile_flags):
    common_mpi_lib.define_macros = options['MACROS']
    common_mpi_lib.include_dirs = options['INCLUDES']
    common_mpi_lib.sources = options['SOURCES'] + ['horovod/common/common.cc',
                                                   'horovod/common/mpi_message.cc',
                                                   'horovod/common/operations.cc',
                                                   'horovod/common/timeline.cc']
    common_mpi_lib.extra_compile_args = options['COMPILE_FLAGS'] + \
        abi_compile_flags
    common_mpi_lib.extra_link_args = options['LINK_FLAGS']
    common_mpi_lib.library_dirs = options['LIBRARY_DIRS']
    common_mpi_lib.libraries = options['LIBRARIES']

    build_ext.build_extension(common_mpi_lib) 
开发者ID:mlperf,项目名称:training_results_v0.6,代码行数:16,代码来源:setup.py

示例5: build_extension

# 需要导入模块: from setuptools.command.build_ext import build_ext [as 别名]
# 或者: from setuptools.command.build_ext.build_ext import build_extension [as 别名]
def build_extension(self, ext):
        cc = self.compiler
        if cc.compiler_type == "unix":
            ext.extra_compile_args.append("--std=c++11")
        if self.plat_name.startswith("macosx"):
            ext.extra_compile_args.append("-mmacosx-version-min=10.9")
            ext.extra_link_args.append("-mmacosx-version-min=10.9")
        build_ext.build_extension(self, ext) 
开发者ID:Quansight-Labs,项目名称:uarray,代码行数:10,代码来源:setup.py

示例6: build_extension

# 需要导入模块: from setuptools.command.build_ext import build_ext [as 别名]
# 或者: from setuptools.command.build_ext.build_ext import build_extension [as 别名]
def build_extension(self, ext):
        name = ext.name
        try:
            build_ext.build_extension(self, ext)
        except Exception:
            e = sys.exc_info()[1]
            sys.stdout.write('%s\n' % str(e))
            warnings.warn(self.warning_message % ("The %s extension "
                                                  "module" % (name,),
                                                  "The output above "
                                                  "this warning shows how "
                                                  "the compilation "
                                                  "failed.")) 
开发者ID:NoneGG,项目名称:aredis,代码行数:15,代码来源:setup.py

示例7: build_extension

# 需要导入模块: from setuptools.command.build_ext import build_ext [as 别名]
# 或者: from setuptools.command.build_ext.build_ext import build_extension [as 别名]
def build_extension(self, ext):
        try:
            build_ext.build_extension(self, ext)
        except ext_errors as e:
            print(e)
            raise BuildFailed() 
开发者ID:DEAP,项目名称:deap,代码行数:8,代码来源:setup.py

示例8: build_extension

# 需要导入模块: from setuptools.command.build_ext import build_ext [as 别名]
# 或者: from setuptools.command.build_ext.build_ext import build_extension [as 别名]
def build_extension(self, ext):
        name = ext.name
        try:
            build_ext.build_extension(self, ext)
        except Exception:
            e = sys.exc_info()[1]
            sys.stdout.write('%s\n' % str(e))
            warnings.warn(
                self.warning_message +
                'The %s extension module' % (name,) +
                'The output above this warning shows how the compilation failed.') 
开发者ID:oborchers,项目名称:Fast_Sentence_Embeddings,代码行数:13,代码来源:setup.py

示例9: build_torch_extension

# 需要导入模块: from setuptools.command.build_ext import build_ext [as 别名]
# 或者: from setuptools.command.build_ext.build_ext import build_extension [as 别名]
def build_torch_extension(build_ext, options, abi_compile_flags):
    check_torch_import()

    have_cuda = is_torch_cuda()
    if not have_cuda and check_macro(options['MACROS'], 'HAVE_CUDA'):
        raise DistutilsPlatformError(
            'Horovod build with GPU support was requested, but this PyTorch '
            'installation does not support CUDA.')

    # Update HAVE_CUDA to mean that PyTorch supports CUDA. Internally, we will be checking
    # HOROVOD_GPU_(ALLREDUCE|ALLGATHER|BROADCAST) to decide whether we should use GPU
    # version or transfer tensors to CPU memory for those operations.
    updated_macros = set_macro(
        options['MACROS'], 'HAVE_CUDA', str(int(have_cuda)))

    # Create_extension overwrites these files which are customized, we need to protect them.
    with protect_files('horovod/torch/mpi_lib/__init__.py',
                       'horovod/torch/mpi_lib_impl/__init__.py'):
        from torch.utils.ffi import create_extension
        ffi_iface = create_extension(
            name='horovod.torch.mpi_lib',
            headers=['horovod/torch/interface.h'] +
            (['horovod/torch/interface_cuda.h'] if have_cuda else []),
            with_cuda=have_cuda,
            language='c',
            package=True,
            sources=[],
            extra_compile_args=['-std=c11', '-fPIC', '-O2']
        )
        ffi_impl = create_extension(
            name='horovod.torch.mpi_lib_impl',
            headers=[],
            with_cuda=have_cuda,
            language='c++',
            package=True,
            source_extension='.cc',
            define_macros=updated_macros,
            include_dirs=options['INCLUDES'],
            sources=options['SOURCES'] + ['horovod/torch/mpi_ops.cc',
                                          'horovod/torch/handle_manager.cc',
                                          'horovod/torch/ready_event.cc',
                                          'horovod/torch/tensor_util.cc',
                                          'horovod/torch/cuda_util.cc',
                                          'horovod/torch/adapter.cc'],
            extra_compile_args=options['COMPILE_FLAGS'] + abi_compile_flags,
            extra_link_args=options['LINK_FLAGS'],
            library_dirs=options['LIBRARY_DIRS'],
            libraries=options['LIBRARIES']
        )

    for ffi, setuptools_ext in [(ffi_iface, torch_mpi_lib),
                                (ffi_impl, torch_mpi_lib_impl)]:
        ffi_ext = ffi.distutils_extension()
        # ffi_ext is distutils Extension, not setuptools Extension
        for k, v in ffi_ext.__dict__.items():
            setuptools_ext.__dict__[k] = v
        build_ext.build_extension(setuptools_ext)


# run the customize_compiler 
开发者ID:mlperf,项目名称:training_results_v0.6,代码行数:62,代码来源:setup.py


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