python类Extension()的实例源码

test_install_lib.py 文件源码 项目:hostapd-mana 作者: adde88 项目源码 文件源码 阅读 23 收藏 0 点赞 0 评论 0
def test_get_outputs(self):
        pkg_dir, dist = self.create_dist()
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = pkg_dir
        f = os.path.join(pkg_dir, 'foo.py')
        self.write_file(f, '# python file')
        cmd.distribution.py_modules = [pkg_dir]
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = [pkg_dir]
        cmd.distribution.script_name = 'setup.py'

        # get_output should return 4 elements
        self.assertGreaterEqual(len(cmd.get_outputs()), 2)
test_install_lib.py 文件源码 项目:hostapd-mana 作者: adde88 项目源码 文件源码 阅读 20 收藏 0 点赞 0 评论 0
def test_get_inputs(self):
        pkg_dir, dist = self.create_dist()
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = pkg_dir
        f = os.path.join(pkg_dir, 'foo.py')
        self.write_file(f, '# python file')
        cmd.distribution.py_modules = [pkg_dir]
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = [pkg_dir]
        cmd.distribution.script_name = 'setup.py'

        # get_input should return 2 elements
        self.assertEqual(len(cmd.get_inputs()), 2)
test_install_lib.py 文件源码 项目:oil 作者: oilshell 项目源码 文件源码 阅读 22 收藏 0 点赞 0 评论 0
def test_get_outputs(self):
        pkg_dir, dist = self.create_dist()
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = pkg_dir
        f = os.path.join(pkg_dir, 'foo.py')
        self.write_file(f, '# python file')
        cmd.distribution.py_modules = [pkg_dir]
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = [pkg_dir]
        cmd.distribution.script_name = 'setup.py'

        # get_output should return 4 elements
        self.assertGreaterEqual(len(cmd.get_outputs()), 2)
test_install_lib.py 文件源码 项目:oil 作者: oilshell 项目源码 文件源码 阅读 27 收藏 0 点赞 0 评论 0
def test_get_inputs(self):
        pkg_dir, dist = self.create_dist()
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = pkg_dir
        f = os.path.join(pkg_dir, 'foo.py')
        self.write_file(f, '# python file')
        cmd.distribution.py_modules = [pkg_dir]
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = [pkg_dir]
        cmd.distribution.script_name = 'setup.py'

        # get_input should return 2 elements
        self.assertEqual(len(cmd.get_inputs()), 2)
test_install_lib.py 文件源码 项目:python2-tracer 作者: extremecoders-re 项目源码 文件源码 阅读 20 收藏 0 点赞 0 评论 0
def test_get_outputs(self):
        pkg_dir, dist = self.create_dist()
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = pkg_dir
        f = os.path.join(pkg_dir, 'foo.py')
        self.write_file(f, '# python file')
        cmd.distribution.py_modules = [pkg_dir]
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = [pkg_dir]
        cmd.distribution.script_name = 'setup.py'

        # get_output should return 4 elements
        self.assertGreaterEqual(len(cmd.get_outputs()), 2)
test_install_lib.py 文件源码 项目:python2-tracer 作者: extremecoders-re 项目源码 文件源码 阅读 21 收藏 0 点赞 0 评论 0
def test_get_inputs(self):
        pkg_dir, dist = self.create_dist()
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = pkg_dir
        f = os.path.join(pkg_dir, 'foo.py')
        self.write_file(f, '# python file')
        cmd.distribution.py_modules = [pkg_dir]
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = [pkg_dir]
        cmd.distribution.script_name = 'setup.py'

        # get_input should return 2 elements
        self.assertEqual(len(cmd.get_inputs()), 2)
test_install_lib.py 文件源码 项目:sslstrip-hsts-openwrt 作者: adde88 项目源码 文件源码 阅读 18 收藏 0 点赞 0 评论 0
def test_get_outputs(self):
        pkg_dir, dist = self.create_dist()
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = pkg_dir
        f = os.path.join(pkg_dir, 'foo.py')
        self.write_file(f, '# python file')
        cmd.distribution.py_modules = [pkg_dir]
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = [pkg_dir]
        cmd.distribution.script_name = 'setup.py'

        # get_output should return 4 elements
        self.assertGreaterEqual(len(cmd.get_outputs()), 2)
test_install_lib.py 文件源码 项目:sslstrip-hsts-openwrt 作者: adde88 项目源码 文件源码 阅读 21 收藏 0 点赞 0 评论 0
def test_get_inputs(self):
        pkg_dir, dist = self.create_dist()
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = pkg_dir
        f = os.path.join(pkg_dir, 'foo.py')
        self.write_file(f, '# python file')
        cmd.distribution.py_modules = [pkg_dir]
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = [pkg_dir]
        cmd.distribution.script_name = 'setup.py'

        # get_input should return 2 elements
        self.assertEqual(len(cmd.get_inputs()), 2)
test_install_lib.py 文件源码 项目:pefile.pypy 作者: cloudtracer 项目源码 文件源码 阅读 22 收藏 0 点赞 0 评论 0
def test_get_outputs(self):
        pkg_dir, dist = self.create_dist()
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = pkg_dir
        f = os.path.join(pkg_dir, 'foo.py')
        self.write_file(f, '# python file')
        cmd.distribution.py_modules = [pkg_dir]
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = [pkg_dir]
        cmd.distribution.script_name = 'setup.py'

        # get_output should return 4 elements
        self.assertGreaterEqual(len(cmd.get_outputs()), 2)
test_install_lib.py 文件源码 项目:pefile.pypy 作者: cloudtracer 项目源码 文件源码 阅读 25 收藏 0 点赞 0 评论 0
def test_get_inputs(self):
        pkg_dir, dist = self.create_dist()
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = pkg_dir
        f = os.path.join(pkg_dir, 'foo.py')
        self.write_file(f, '# python file')
        cmd.distribution.py_modules = [pkg_dir]
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = [pkg_dir]
        cmd.distribution.script_name = 'setup.py'

        # get_input should return 2 elements
        self.assertEqual(len(cmd.get_inputs()), 2)
test_install_lib.py 文件源码 项目:ouroboros 作者: pybee 项目源码 文件源码 阅读 24 收藏 0 点赞 0 评论 0
def test_get_outputs(self):
        project_dir, dist = self.create_dist()
        os.chdir(project_dir)
        os.mkdir('spam')
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = self.mkdtemp()
        f = os.path.join(project_dir, 'spam', '__init__.py')
        self.write_file(f, '# python package')
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = ['spam']
        cmd.distribution.script_name = 'setup.py'

        # get_outputs should return 4 elements: spam/__init__.py, .pyc and
        # .pyo, foo.import-tag-abiflags.so / foo.pyd
        outputs = cmd.get_outputs()
        self.assertEqual(len(outputs), 4, outputs)
test_install_lib.py 文件源码 项目:ouroboros 作者: pybee 项目源码 文件源码 阅读 20 收藏 0 点赞 0 评论 0
def test_get_inputs(self):
        project_dir, dist = self.create_dist()
        os.chdir(project_dir)
        os.mkdir('spam')
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = self.mkdtemp()
        f = os.path.join(project_dir, 'spam', '__init__.py')
        self.write_file(f, '# python package')
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = ['spam']
        cmd.distribution.script_name = 'setup.py'

        # get_inputs should return 2 elements: spam/__init__.py and
        # foo.import-tag-abiflags.so / foo.pyd
        inputs = cmd.get_inputs()
        self.assertEqual(len(inputs), 2, inputs)
test_build_ext.py 文件源码 项目:ouroboros 作者: pybee 项目源码 文件源码 阅读 25 收藏 0 点赞 0 评论 0
def test_optional_extension(self):

        # this extension will fail, but let's ignore this failure
        # with the optional argument.
        modules = [Extension('foo', ['xxx'], optional=False)]
        dist = Distribution({'name': 'xx', 'ext_modules': modules})
        cmd = build_ext(dist)
        cmd.ensure_finalized()
        self.assertRaises((UnknownFileError, CompileError),
                          cmd.run)  # should raise an error

        modules = [Extension('foo', ['xxx'], optional=True)]
        dist = Distribution({'name': 'xx', 'ext_modules': modules})
        cmd = build_ext(dist)
        cmd.ensure_finalized()
        cmd.run()  # should pass
test_install_lib.py 文件源码 项目:ndk-python 作者: gittor 项目源码 文件源码 阅读 24 收藏 0 点赞 0 评论 0
def test_get_outputs(self):
        pkg_dir, dist = self.create_dist()
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = pkg_dir
        f = os.path.join(pkg_dir, 'foo.py')
        self.write_file(f, '# python file')
        cmd.distribution.py_modules = [pkg_dir]
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = [pkg_dir]
        cmd.distribution.script_name = 'setup.py'

        # get_output should return 4 elements
        self.assertTrue(len(cmd.get_outputs()) >= 2)
test_install_lib.py 文件源码 项目:ndk-python 作者: gittor 项目源码 文件源码 阅读 20 收藏 0 点赞 0 评论 0
def test_get_inputs(self):
        pkg_dir, dist = self.create_dist()
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = pkg_dir
        f = os.path.join(pkg_dir, 'foo.py')
        self.write_file(f, '# python file')
        cmd.distribution.py_modules = [pkg_dir]
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = [pkg_dir]
        cmd.distribution.script_name = 'setup.py'

        # get_input should return 2 elements
        self.assertEqual(len(cmd.get_inputs()), 2)
test_install_lib.py 文件源码 项目:kbe_server 作者: xiaohaoppy 项目源码 文件源码 阅读 35 收藏 0 点赞 0 评论 0
def test_get_outputs(self):
        project_dir, dist = self.create_dist()
        os.chdir(project_dir)
        os.mkdir('spam')
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = self.mkdtemp()
        f = os.path.join(project_dir, 'spam', '__init__.py')
        self.write_file(f, '# python package')
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = ['spam']
        cmd.distribution.script_name = 'setup.py'

        # get_outputs should return 4 elements: spam/__init__.py, .pyc and
        # .pyo, foo.import-tag-abiflags.so / foo.pyd
        outputs = cmd.get_outputs()
        self.assertEqual(len(outputs), 4, outputs)
test_install_lib.py 文件源码 项目:kbe_server 作者: xiaohaoppy 项目源码 文件源码 阅读 22 收藏 0 点赞 0 评论 0
def test_get_inputs(self):
        project_dir, dist = self.create_dist()
        os.chdir(project_dir)
        os.mkdir('spam')
        cmd = install_lib(dist)

        # setting up a dist environment
        cmd.compile = cmd.optimize = 1
        cmd.install_dir = self.mkdtemp()
        f = os.path.join(project_dir, 'spam', '__init__.py')
        self.write_file(f, '# python package')
        cmd.distribution.ext_modules = [Extension('foo', ['xxx'])]
        cmd.distribution.packages = ['spam']
        cmd.distribution.script_name = 'setup.py'

        # get_inputs should return 2 elements: spam/__init__.py and
        # foo.import-tag-abiflags.so / foo.pyd
        inputs = cmd.get_inputs()
        self.assertEqual(len(inputs), 2, inputs)
test_build_ext.py 文件源码 项目:kbe_server 作者: xiaohaoppy 项目源码 文件源码 阅读 22 收藏 0 点赞 0 评论 0
def test_optional_extension(self):

        # this extension will fail, but let's ignore this failure
        # with the optional argument.
        modules = [Extension('foo', ['xxx'], optional=False)]
        dist = Distribution({'name': 'xx', 'ext_modules': modules})
        cmd = build_ext(dist)
        cmd.ensure_finalized()
        self.assertRaises((UnknownFileError, CompileError),
                          cmd.run)  # should raise an error

        modules = [Extension('foo', ['xxx'], optional=True)]
        dist = Distribution({'name': 'xx', 'ext_modules': modules})
        cmd = build_ext(dist)
        cmd.ensure_finalized()
        cmd.run()  # should pass
setup.py 文件源码 项目:PyTouhou 作者: GovanifY 项目源码 文件源码 阅读 19 收藏 0 点赞 0 评论 0
def extract_module_types(packages):
    py_modules = []
    ext_modules = []
    for package_name, package in packages.items():
        if package_name in ('pytouhou.ui', 'pytouhou.ui.sdl'):
            package_args = sdl_args
        elif package_name == 'pytouhou.ui.opengl':
            package_args = opengl_args
        else:
            package_args = {}
        for module_name, extensions in package.items():
            fully_qualified_name = '%s.%s' % (package_name, module_name)
            if '.pyx' in extensions or '.pxd' in extensions or compile_everything:
                if fully_qualified_name == 'pytouhou.lib.sdl':
                    compile_args = sdl_args
                else:
                    compile_args = package_args
                ext = 'pyx' if '.pyx' in extensions else 'py'
                source = '%s.%s' % (fully_qualified_name.replace('.', os.path.sep), ext)
                ext_modules.append(Extension(fully_qualified_name,
                                             [source],
                                             **compile_args))
            else:
                py_modules.append(fully_qualified_name)
    return py_modules, ext_modules
setup.py 文件源码 项目:DBAdapter 作者: ContinuumIO 项目源码 文件源码 阅读 18 收藏 0 点赞 0 评论 0
def setup_odbc(include_dirs, lib_dirs):
    src_path = os.path.join(os.path.dirname(__file__), 'dbadapter/pyodbc/src')
    src = [os.path.abspath(os.path.join(src_path, f))
           for f in os.listdir(src_path)
           if f.endswith('.cpp') ]

    if sys.platform == 'win32':
        libraries = ['odbc32', 'advapi32']
    elif sys.platform == 'darwin':
        if os.environ.get('UNIXODBC_PATH', ''):
            include_dirs.append(os.path.join(os.environ.get('UNIXODBC_PATH')))
            include_dirs.append(os.path.join(os.environ.get('UNIXODBC_PATH'), 'include'))
            lib_dirs.append(os.path.join(os.environ.get('UNIXODBC_PATH'), 'DriverManager', '.libs'))
            libraries = ['odbc']
        else:
            libraries = ['odbc']
    else:
        libraries = ['odbc']

    return Extension('dbadapter.pyodbc',
                     src,
                     include_dirs=include_dirs,
                     libraries=libraries,
                     library_dirs=lib_dirs)
setup.py 文件源码 项目:HandDetection 作者: YunqiuXu 项目源码 文件源码 阅读 20 收藏 0 点赞 0 评论 0
def customize_compiler_for_nvcc(self):
    """inject deep into distutils to customize how the dispatch
    to gcc/nvcc works.

    If you subclass UnixCCompiler, it's not trivial to get your subclass
    injected in, and still have the right customizations (i.e.
    distutils.sysconfig.customize_compiler) run on it. So instead of going
    the OO route, I have this. Note, it's kindof like a wierd functional
    subclassing going on."""

    # tell the compiler it can processes .cu
    self.src_extensions.append('.cu')

    # save references to the default compiler_so and _comple methods
    default_compiler_so = self.compiler_so
    super = self._compile

    # now redefine the _compile method. This gets executed for each
    # object but distutils doesn't have the ability to change compilers
    # based on source extension: we add it.
    def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
        print(extra_postargs)
        if os.path.splitext(src)[1] == '.cu':
            # use the cuda for .cu files
            self.set_executable('compiler_so', CUDA['nvcc'])
            # use only a subset of the extra_postargs, which are 1-1 translated
            # from the extra_compile_args in the Extension class
            postargs = extra_postargs['nvcc']
        else:
            postargs = extra_postargs['gcc']

        super(obj, src, ext, cc_args, postargs, pp_opts)
        # reset the default compiler_so, which we might have changed for cuda
        self.compiler_so = default_compiler_so

    # inject our redefined _compile method into the class
    self._compile = _compile

# run the customize_compiler
setup.py 文件源码 项目:adversarial-frcnn 作者: xiaolonw 项目源码 文件源码 阅读 21 收藏 0 点赞 0 评论 0
def customize_compiler_for_nvcc(self):
    """inject deep into distutils to customize how the dispatch
    to gcc/nvcc works.

    If you subclass UnixCCompiler, it's not trivial to get your subclass
    injected in, and still have the right customizations (i.e.
    distutils.sysconfig.customize_compiler) run on it. So instead of going
    the OO route, I have this. Note, it's kindof like a wierd functional
    subclassing going on."""

    # tell the compiler it can processes .cu
    self.src_extensions.append('.cu')

    # save references to the default compiler_so and _comple methods
    default_compiler_so = self.compiler_so
    super = self._compile

    # now redefine the _compile method. This gets executed for each
    # object but distutils doesn't have the ability to change compilers
    # based on source extension: we add it.
    def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
        if os.path.splitext(src)[1] == '.cu':
            # use the cuda for .cu files
            self.set_executable('compiler_so', CUDA['nvcc'])
            # use only a subset of the extra_postargs, which are 1-1 translated
            # from the extra_compile_args in the Extension class
            postargs = extra_postargs['nvcc']
        else:
            postargs = extra_postargs['gcc']

        super(obj, src, ext, cc_args, postargs, pp_opts)
        # reset the default compiler_so, which we might have changed for cuda
        self.compiler_so = default_compiler_so

    # inject our redefined _compile method into the class
    self._compile = _compile


# run the customize_compiler
setup.py 文件源码 项目:faster-rcnn-resnet 作者: Eniac-Xie 项目源码 文件源码 阅读 21 收藏 0 点赞 0 评论 0
def customize_compiler_for_nvcc(self):
    """inject deep into distutils to customize how the dispatch
    to gcc/nvcc works.

    If you subclass UnixCCompiler, it's not trivial to get your subclass
    injected in, and still have the right customizations (i.e.
    distutils.sysconfig.customize_compiler) run on it. So instead of going
    the OO route, I have this. Note, it's kindof like a wierd functional
    subclassing going on."""

    # tell the compiler it can processes .cu
    self.src_extensions.append('.cu')

    # save references to the default compiler_so and _comple methods
    default_compiler_so = self.compiler_so
    super = self._compile

    # now redefine the _compile method. This gets executed for each
    # object but distutils doesn't have the ability to change compilers
    # based on source extension: we add it.
    def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
        if os.path.splitext(src)[1] == '.cu':
            # use the cuda for .cu files
            self.set_executable('compiler_so', CUDA['nvcc'])
            # use only a subset of the extra_postargs, which are 1-1 translated
            # from the extra_compile_args in the Extension class
            postargs = extra_postargs['nvcc']
        else:
            postargs = extra_postargs['gcc']

        super(obj, src, ext, cc_args, postargs, pp_opts)
        # reset the default compiler_so, which we might have changed for cuda
        self.compiler_so = default_compiler_so

    # inject our redefined _compile method into the class
    self._compile = _compile


# run the customize_compiler
setup.py 文件源码 项目:py-faster-rcnn-tk1 作者: joeking11829 项目源码 文件源码 阅读 19 收藏 0 点赞 0 评论 0
def customize_compiler_for_nvcc(self):
    """inject deep into distutils to customize how the dispatch
    to gcc/nvcc works.

    If you subclass UnixCCompiler, it's not trivial to get your subclass
    injected in, and still have the right customizations (i.e.
    distutils.sysconfig.customize_compiler) run on it. So instead of going
    the OO route, I have this. Note, it's kindof like a wierd functional
    subclassing going on."""

    # tell the compiler it can processes .cu
    self.src_extensions.append('.cu')

    # save references to the default compiler_so and _comple methods
    default_compiler_so = self.compiler_so
    super = self._compile

    # now redefine the _compile method. This gets executed for each
    # object but distutils doesn't have the ability to change compilers
    # based on source extension: we add it.
    def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
        if os.path.splitext(src)[1] == '.cu':
            # use the cuda for .cu files
            self.set_executable('compiler_so', CUDA['nvcc'])
            # use only a subset of the extra_postargs, which are 1-1 translated
            # from the extra_compile_args in the Extension class
            postargs = extra_postargs['nvcc']
        else:
            postargs = extra_postargs['gcc']

        super(obj, src, ext, cc_args, postargs, pp_opts)
        # reset the default compiler_so, which we might have changed for cuda
        self.compiler_so = default_compiler_so

    # inject our redefined _compile method into the class
    self._compile = _compile


# run the customize_compiler
setup.py 文件源码 项目:canshi 作者: hungsing92 项目源码 文件源码 阅读 20 收藏 0 点赞 0 评论 0
def customize_compiler_for_nvcc(self):
    """inject deep into distutils to customize how the dispatch
    to gcc/nvcc works.

    If you subclass UnixCCompiler, it's not trivial to get your subclass
    injected in, and still have the right customizations (i.e.
    distutils.sysconfig.customize_compiler) run on it. So instead of going
    the OO route, I have this. Note, it's kindof like a wierd functional
    subclassing going on."""

    # tell the compiler it can processes .cu
    self.src_extensions.append('.cu')

    # save references to the default compiler_so and _comple methods
    default_compiler_so = self.compiler_so
    super = self._compile

    # now redefine the _compile method. This gets executed for each
    # object but distutils doesn't have the ability to change compilers
    # based on source extension: we add it.
    def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
        print (extra_postargs)
        if os.path.splitext(src)[1] == '.cu':
            # use the cuda for .cu files
            self.set_executable('compiler_so', CUDA['nvcc'])
            # use only a subset of the extra_postargs, which are 1-1 translated
            # from the extra_compile_args in the Extension class
            postargs = extra_postargs['nvcc']
        else:
            postargs = extra_postargs['gcc']

        super(obj, src, ext, cc_args, postargs, pp_opts)
        # reset the default compiler_so, which we might have changed for cuda
        self.compiler_so = default_compiler_so

        # inject our redefined _compile method into the class
        self._compile = _compile


# run the customize_compiler
setup.py 文件源码 项目:TensorFlow-ADGM 作者: dancsalo 项目源码 文件源码 阅读 25 收藏 0 点赞 0 评论 0
def customize_compiler_for_nvcc(self):
    """inject deep into distutils to customize how the dispatch
    to gcc/nvcc works.

    If you subclass UnixCCompiler, it's not trivial to get your subclass
    injected in, and still have the right customizations (i.e.
    distutils.sysconfig.customize_compiler) run on it. So instead of going
    the OO route, I have this. Note, it's kindof like a wierd functional
    subclassing going on."""

    # tell the compiler it can processes .cu
    self.src_extensions.append('.cu')

    # save references to the default compiler_so and _comple methods
    default_compiler_so = self.compiler_so
    super = self._compile

    # now redefine the _compile method. This gets executed for each
    # object but distutils doesn't have the ability to change compilers
    # based on source extension: we add it.
    def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
        print(extra_postargs)
        if os.path.splitext(src)[1] == '.cu':
            # use the cuda for .cu files
            self.set_executable('compiler_so', CUDA['nvcc'])
            # use only a subset of the extra_postargs, which are 1-1 translated
            # from the extra_compile_args in the Extension class
            postargs = extra_postargs['nvcc']
        else:
            postargs = extra_postargs['gcc']

        super(obj, src, ext, cc_args, postargs, pp_opts)
        # reset the default compiler_so, which we might have changed for cuda
        self.compiler_so = default_compiler_so

    # inject our redefined _compile method into the class
    self._compile = _compile


# run the customize_compiler
setup.py 文件源码 项目:py-faster-rcnn-resnet-imagenet 作者: tianzhi0549 项目源码 文件源码 阅读 20 收藏 0 点赞 0 评论 0
def customize_compiler_for_nvcc(self):
    """inject deep into distutils to customize how the dispatch
    to gcc/nvcc works.

    If you subclass UnixCCompiler, it's not trivial to get your subclass
    injected in, and still have the right customizations (i.e.
    distutils.sysconfig.customize_compiler) run on it. So instead of going
    the OO route, I have this. Note, it's kindof like a wierd functional
    subclassing going on."""

    # tell the compiler it can processes .cu
    self.src_extensions.append('.cu')

    # save references to the default compiler_so and _comple methods
    default_compiler_so = self.compiler_so
    super = self._compile

    # now redefine the _compile method. This gets executed for each
    # object but distutils doesn't have the ability to change compilers
    # based on source extension: we add it.
    def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
        if os.path.splitext(src)[1] == '.cu':
            # use the cuda for .cu files
            self.set_executable('compiler_so', CUDA['nvcc'])
            # use only a subset of the extra_postargs, which are 1-1 translated
            # from the extra_compile_args in the Extension class
            postargs = extra_postargs['nvcc']
        else:
            postargs = extra_postargs['gcc']

        super(obj, src, ext, cc_args, postargs, pp_opts)
        # reset the default compiler_so, which we might have changed for cuda
        self.compiler_so = default_compiler_so

    # inject our redefined _compile method into the class
    self._compile = _compile


# run the customize_compiler
setup_linux.py 文件源码 项目:focal-loss 作者: unsky 项目源码 文件源码 阅读 22 收藏 0 点赞 0 评论 0
def customize_compiler_for_nvcc(self):
    """inject deep into distutils to customize how the dispatch
    to gcc/nvcc works.
    If you subclass UnixCCompiler, it's not trivial to get your subclass
    injected in, and still have the right customizations (i.e.
    distutils.sysconfig.customize_compiler) run on it. So instead of going
    the OO route, I have this. Note, it's kindof like a wierd functional
    subclassing going on."""

    # tell the compiler it can processes .cu
    self.src_extensions.append('.cu')

    # save references to the default compiler_so and _comple methods
    default_compiler_so = self.compiler_so
    super = self._compile

    # now redefine the _compile method. This gets executed for each
    # object but distutils doesn't have the ability to change compilers
    # based on source extension: we add it.
    def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
        if os.path.splitext(src)[1] == '.cu':
            # use the cuda for .cu files
            self.set_executable('compiler_so', CUDA['nvcc'])
            # use only a subset of the extra_postargs, which are 1-1 translated
            # from the extra_compile_args in the Extension class
            postargs = extra_postargs['nvcc']
        else:
            postargs = extra_postargs['gcc']

        super(obj, src, ext, cc_args, postargs, pp_opts)
        # reset the default compiler_so, which we might have changed for cuda
        self.compiler_so = default_compiler_so

    # inject our redefined _compile method into the class
    self._compile = _compile


# run the customize_compiler
setup_linux.py 文件源码 项目:focal-loss 作者: unsky 项目源码 文件源码 阅读 25 收藏 0 点赞 0 评论 0
def customize_compiler_for_nvcc(self):
    """inject deep into distutils to customize how the dispatch
    to gcc/nvcc works.
    If you subclass UnixCCompiler, it's not trivial to get your subclass
    injected in, and still have the right customizations (i.e.
    distutils.sysconfig.customize_compiler) run on it. So instead of going
    the OO route, I have this. Note, it's kindof like a wierd functional
    subclassing going on."""

    # tell the compiler it can processes .cu
    self.src_extensions.append('.cu')

    # save references to the default compiler_so and _comple methods
    default_compiler_so = self.compiler_so
    super = self._compile

    # now redefine the _compile method. This gets executed for each
    # object but distutils doesn't have the ability to change compilers
    # based on source extension: we add it.
    def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
        if os.path.splitext(src)[1] == '.cu':
            # use the cuda for .cu files
            self.set_executable('compiler_so', CUDA['nvcc'])
            # use only a subset of the extra_postargs, which are 1-1 translated
            # from the extra_compile_args in the Extension class
            postargs = extra_postargs['nvcc']
        else:
            postargs = extra_postargs['gcc']

        super(obj, src, ext, cc_args, postargs, pp_opts)
        # reset the default compiler_so, which we might have changed for cuda
        self.compiler_so = default_compiler_so

    # inject our redefined _compile method into the class
    self._compile = _compile


# run the customize_compiler
setup.py 文件源码 项目:faster_rcnn_pytorch 作者: longcw 项目源码 文件源码 阅读 19 收藏 0 点赞 0 评论 0
def customize_compiler_for_nvcc(self):
    """inject deep into distutils to customize how the dispatch
    to gcc/nvcc works.

    If you subclass UnixCCompiler, it's not trivial to get your subclass
    injected in, and still have the right customizations (i.e.
    distutils.sysconfig.customize_compiler) run on it. So instead of going
    the OO route, I have this. Note, it's kindof like a wierd functional
    subclassing going on."""

    # tell the compiler it can processes .cu
    self.src_extensions.append('.cu')

    # save references to the default compiler_so and _comple methods
    default_compiler_so = self.compiler_so
    super = self._compile

    # now redefine the _compile method. This gets executed for each
    # object but distutils doesn't have the ability to change compilers
    # based on source extension: we add it.
    def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
        print extra_postargs
        if os.path.splitext(src)[1] == '.cu':
            # use the cuda for .cu files
            self.set_executable('compiler_so', CUDA['nvcc'])
            # use only a subset of the extra_postargs, which are 1-1 translated
            # from the extra_compile_args in the Extension class
            postargs = extra_postargs['nvcc']
        else:
            postargs = extra_postargs['gcc']

        super(obj, src, ext, cc_args, postargs, pp_opts)
        # reset the default compiler_so, which we might have changed for cuda
        self.compiler_so = default_compiler_so

    # inject our redefined _compile method into the class
    self._compile = _compile


# run the customize_compiler


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