Python errors.LinkError方法代码示例

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def get_cpp_flags(build_ext):
    last_err = None
    default_flags = ['-std=c++11', '-fPIC', '-O2']
    if sys.platform == 'darwin':
        # Darwin most likely will have Clang, which has libc++.
        flags_to_try = [default_flags + ['-stdlib=libc++'], default_flags]
    else:
        flags_to_try = [default_flags, default_flags + ['-stdlib=libc++']]
    for cpp_flags in flags_to_try:
        try:
            test_compile(build_ext, 'test_cpp_flags', extra_preargs=cpp_flags,
                         code=textwrap.dedent('''\
                    #include <unordered_map>
                    void test() {
                    }
                    '''))

            return cpp_flags
        except (CompileError, LinkError):
            last_err = 'Unable to determine C++ compilation flags (see error above).'
        except Exception:
            last_err = 'Unable to determine C++ compilation flags.  ' \
                       'Last error:\n\n%s' % traceback.format_exc()

    raise DistutilsPlatformError(last_err) 

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def get_tf_libs(build_ext, lib_dirs, cpp_flags):
    last_err = None
    for tf_libs in [['tensorflow_framework'], []]:
        try:
            lib_file = test_compile(build_ext, 'test_tensorflow_libs',
                                    library_dirs=lib_dirs, libraries=tf_libs,
                                    extra_preargs=cpp_flags,
                                    code=textwrap.dedent('''\
                    void test() {
                    }
                    '''))

            from tensorflow.python.framework import load_library
            load_library.load_op_library(lib_file)

            return tf_libs
        except (CompileError, LinkError):
            last_err = 'Unable to determine -l link flags to use with TensorFlow (see error above).'
        except Exception:
            last_err = 'Unable to determine -l link flags to use with TensorFlow.  ' \
                       'Last error:\n\n%s' % traceback.format_exc()

    raise DistutilsPlatformError(last_err) 

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def get_tf_abi(build_ext, include_dirs, lib_dirs, libs, cpp_flags):
    last_err = None
    cxx11_abi_macro = '_GLIBCXX_USE_CXX11_ABI'
    for cxx11_abi in ['0', '1']:
        try:
            lib_file = test_compile(build_ext, 'test_tensorflow_abi',
                                    macros=[(cxx11_abi_macro, cxx11_abi)],
                                    include_dirs=include_dirs, library_dirs=lib_dirs,
                                    libraries=libs, extra_preargs=cpp_flags,
                                    code=textwrap.dedent('''\
                #include <string>
                #include "tensorflow/core/framework/op.h"
                #include "tensorflow/core/framework/op_kernel.h"
                #include "tensorflow/core/framework/shape_inference.h"
                void test() {
                    auto ignore = tensorflow::strings::StrCat("a", "b");
                }
                '''))

            from tensorflow.python.framework import load_library
            load_library.load_op_library(lib_file)

            return cxx11_abi_macro, cxx11_abi
        except (CompileError, LinkError):
            last_err = 'Unable to determine CXX11 ABI to use with TensorFlow (see error above).'
        except Exception:
            last_err = 'Unable to determine CXX11 ABI to use with TensorFlow.  ' \
                       'Last error:\n\n%s' % traceback.format_exc()

    raise DistutilsPlatformError(last_err) 

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def get_cuda_dirs(build_ext, cpp_flags):
    cuda_include_dirs = []
    cuda_lib_dirs = []

    cuda_home = os.environ.get('HOROVOD_CUDA_HOME')
    if cuda_home:
        cuda_include_dirs += ['%s/include' % cuda_home]
        cuda_lib_dirs += ['%s/lib' % cuda_home, '%s/lib64' % cuda_home]

    cuda_include = os.environ.get('HOROVOD_CUDA_INCLUDE')
    if cuda_include:
        cuda_include_dirs += [cuda_include]

    cuda_lib = os.environ.get('HOROVOD_CUDA_LIB')
    if cuda_lib:
        cuda_lib_dirs += [cuda_lib]

    if not cuda_include_dirs and not cuda_lib_dirs:
        # default to /usr/local/cuda
        cuda_include_dirs += ['/usr/local/cuda/include']
        cuda_lib_dirs += ['/usr/local/cuda/lib', '/usr/local/cuda/lib64']

    try:
        test_compile(build_ext, 'test_cuda', libraries=['cudart'], include_dirs=cuda_include_dirs,
                     library_dirs=cuda_lib_dirs, extra_preargs=cpp_flags, code=textwrap.dedent('''\
            #include <cuda_runtime.h>
            void test() {
                cudaSetDevice(0);
            }
            '''))
    except (CompileError, LinkError):
        raise DistutilsPlatformError(
            'CUDA library was not found (see error above).\n'
            'Please specify correct CUDA location with the HOROVOD_CUDA_HOME '
            'environment variable or combination of HOROVOD_CUDA_INCLUDE and '
            'HOROVOD_CUDA_LIB environment variables.\n\n'
            'HOROVOD_CUDA_HOME - path where CUDA include and lib directories can be found\n'
            'HOROVOD_CUDA_INCLUDE - path to CUDA include directory\n'
            'HOROVOD_CUDA_LIB - path to CUDA lib directory')

    return cuda_include_dirs, cuda_lib_dirs 

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def get_cpp_flags(build_ext):
    last_err = None

    default_flags = ['-std=c++11', '-fPIC', '-O2', '-Wall']

    # avx_flags = ['-mf16c', '-mavx'] if check_avx_supported() else []
    avx_flags = []

    flags_to_try = [
        default_flags,
        default_flags + ['-stdlib=libc++']
    ]

    if avx_flags:
        flags_to_try.append(default_flags + avx_flags)
        flags_to_try.append(default_flags + ['-stdlib=libc++'] + avx_flags)

    for cpp_flags in flags_to_try:
        try:
            test_compile(
                build_ext, 'test_cpp_flags',
                extra_compile_preargs=cpp_flags,
                code=textwrap.dedent(
                    '''\
                    #include <unordered_map>
                    void test() {
                    }
                    '''
                )
            )

            return cpp_flags

        except (CompileError, LinkError):
            last_err = 'Unable to determine C++ compilation flags (see error above).'

        except Exception:
            last_err = 'Unable to determine C++ compilation flags.  ' \
                       'Last error:\n\n%s' % traceback.format_exc()

    raise DistutilsPlatformError(last_err) 

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def get_link_flags(build_ext):
    last_err = None

    libtool_flags = ['-Wl,-exported_symbols_list']
    ld_flags = []

    flags_to_try = [ld_flags, libtool_flags]

    for link_flags in flags_to_try:

        try:
            test_compile(build_ext, 'test_link_flags',
                         extra_link_preargs=link_flags,
                         code=textwrap.dedent('''\
                    void test() {
                    }
                    '''))

            return link_flags

        except (CompileError, LinkError):
            last_err = 'Unable to determine C++ link flags (see error above).'

        except Exception:
            last_err = 'Unable to determine C++ link flags.  ' \
                       'Last error:\n\n%s' % traceback.format_exc()

    raise DistutilsPlatformError(last_err) 

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def get_tf_libs(build_ext, lib_dirs, cpp_flags):
    for tf_libs in [['tensorflow_framework'], []]:
        try:
            lib_file = test_compile(
                build_ext,
                'test_tensorflow_libs',
                library_dirs=lib_dirs,
                libraries=tf_libs,
                extra_compile_preargs=cpp_flags,
                code=textwrap.dedent('''\
                void test() {
                }
            '''))

            from tensorflow.python.framework import load_library
            load_library.load_op_library(lib_file)

            return tf_libs

        except (CompileError, LinkError):
            last_err = 'Unable to determine -l link flags to use with TensorFlow (see error above).'

        except Exception:
            last_err = 'Unable to determine -l link flags to use with TensorFlow.  Last error:\n\n%s' % \
                       traceback.format_exc()

    raise DistutilsPlatformError(last_err) 

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def get_tf_abi(build_ext, include_dirs, lib_dirs, libs, cpp_flags):
    cxx11_abi_macro = '_GLIBCXX_USE_CXX11_ABI'

    for cxx11_abi in ['0', '1']:
        try:
            lib_file = test_compile(build_ext, 'test_tensorflow_abi',
                                    macros=[(cxx11_abi_macro, cxx11_abi)],
                                    include_dirs=include_dirs,
                                    library_dirs=lib_dirs,
                                    libraries=libs,
                                    extra_compile_preargs=cpp_flags,
                                    code=textwrap.dedent('''\
                #include <string>
                #include "tensorflow/core/framework/op.h"
                #include "tensorflow/core/framework/op_kernel.h"
                #include "tensorflow/core/framework/shape_inference.h"
                void test() {
                    auto ignore = tensorflow::strings::StrCat("a", "b");
                }
                ''')
                                    )

            from tensorflow.python.framework import load_library
            load_library.load_op_library(lib_file)

            return cxx11_abi_macro, cxx11_abi
        except (CompileError, LinkError):
            last_err = 'Unable to determine CXX11 ABI to use with TensorFlow (see error above).'
        except Exception:
            last_err = 'Unable to determine CXX11 ABI to use with TensorFlow.  ' \
                       'Last error:\n\n%s' % traceback.format_exc()

    raise DistutilsPlatformError(last_err) 

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def has_c_library(library, extension=".c"):
    """Check whether a C/C++ library is available on the system to the compiler.

    Parameters
    ----------
    library: str
        The library we want to check for e.g. if we are interested in FFTW3, we
        want to check for `fftw3.h`, so this parameter will be `fftw3`.
    extension: str
        If we want to check for a C library, the extension is `.c`, for C++
        `.cc`, `.cpp` or `.cxx` are accepted.

    Returns
    -------
    bool
        Whether or not the library is available.

    """
    with tempfile.TemporaryDirectory(dir=".") as directory:
        name = join(directory, "%s%s" % (library, extension))
        with open(name, "w") as f:
            f.write("#include <%s.h>\n" % library)
            f.write("int main() {}\n")

        # Get a compiler instance
        compiler = ccompiler.new_compiler()
        # Configure compiler to do all the platform specific things
        customize_compiler(compiler)
        # Add conda include dirs
        for inc_dir in get_include_dirs():
            compiler.add_include_dir(inc_dir)
        assert isinstance(compiler, ccompiler.CCompiler)

        try:
            # Try to compile the file using the C compiler
            compiler.link_executable(compiler.compile([name]), name)
            return True
        except (CompileError, LinkError):
            return False 

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def get_nccl_vals(build_ext, cuda_include_dirs, cuda_lib_dirs, cpp_flags):
    nccl_include_dirs = []
    nccl_lib_dirs = []
    nccl_libs = []

    nccl_home = os.environ.get('HOROVOD_NCCL_HOME')
    if nccl_home:
        nccl_include_dirs += ['%s/include' % nccl_home]
        nccl_lib_dirs += ['%s/lib' % nccl_home, '%s/lib64' % nccl_home]

    nccl_include_dir = os.environ.get('HOROVOD_NCCL_INCLUDE')
    if nccl_include_dir:
        nccl_include_dirs += [nccl_include_dir]

    nccl_lib_dir = os.environ.get('HOROVOD_NCCL_LIB')
    if nccl_lib_dir:
        nccl_lib_dirs += [nccl_lib_dir]

    nccl_link_mode = os.environ.get('HOROVOD_NCCL_LINK', 'STATIC')
    if nccl_link_mode.upper() == 'SHARED':
        nccl_libs += ['nccl']
    else:
        nccl_libs += ['nccl_static']

    try:
        test_compile(build_ext, 'test_nccl', libraries=nccl_libs, include_dirs=nccl_include_dirs + cuda_include_dirs,
                     library_dirs=nccl_lib_dirs + cuda_lib_dirs, extra_preargs=cpp_flags, code=textwrap.dedent('''\
            #include <nccl.h>
            #if NCCL_MAJOR < 2
            #error Horovod requires NCCL 2.0 or later version, please upgrade.
            #endif
            void test() {
                ncclUniqueId nccl_id;
                ncclGetUniqueId(&nccl_id);
            }
            '''))
    except (CompileError, LinkError):
        raise DistutilsPlatformError(
            'NCCL 2.0 library or its later version was not found (see error above).\n'
            'Please specify correct NCCL location with the HOROVOD_NCCL_HOME '
            'environment variable or combination of HOROVOD_NCCL_INCLUDE and '
            'HOROVOD_NCCL_LIB environment variables.\n\n'
            'HOROVOD_NCCL_HOME - path where NCCL include and lib directories can be found\n'
            'HOROVOD_NCCL_INCLUDE - path to NCCL include directory\n'
            'HOROVOD_NCCL_LIB - path to NCCL lib directory')

    return nccl_include_dirs, nccl_lib_dirs, nccl_libs 

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def check_openmp_support():
    """Check whether OpenMP test code can be compiled and run."""
    ccompiler = new_compiler()
    customize_compiler(ccompiler)

    with tempfile.TemporaryDirectory() as tmp_dir:
        try:
            os.chdir(tmp_dir)
            # Write test program
            with open("test_openmp.c", "w") as cfile:
                cfile.write(CCODE)
            os.mkdir("objects")
            # Compile, test program
            openmp_flags = get_openmp_flag(ccompiler)
            ccompiler.compile(
                ["test_openmp.c"],
                output_dir="objects",
                extra_postargs=openmp_flags,
            )
            # Link test program
            extra_preargs = os.getenv("LDFLAGS", None)
            if extra_preargs is not None:
                extra_preargs = extra_preargs.split(" ")
            else:
                extra_preargs = []
            objects = glob.glob(
                os.path.join("objects", "*" + ccompiler.obj_extension)
            )
            ccompiler.link_executable(
                objects,
                "test_openmp",
                extra_preargs=extra_preargs,
                extra_postargs=openmp_flags,
            )
            # Run test program
            output = subprocess.check_output("./test_openmp")
            output = output.decode(sys.stdout.encoding or "utf-8").splitlines()
            # Check test program output
            if "nthreads=" in output[0]:
                nthreads = int(output[0].strip().split("=")[1])
                openmp_supported = len(output) == nthreads
            else:
                openmp_supported = False
                openmp_flags = []
        except (CompileError, LinkError, subprocess.CalledProcessError):
            openmp_supported = False
            openmp_flags = []
        finally:
            os.chdir(HERE)
    return openmp_supported, openmp_flags


# openmp ###################################################################### 

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def get_cuda_dirs(build_ext, cpp_flags):
    cuda_include_dirs = []
    cuda_lib_dirs = []

    cuda_home = os.environ.get('CUDA_HOME')
    cuda_lib = os.environ.get('CUDA_LIB')
    cuda_include = os.environ.get('CUDA_INCLUDE')

    if cuda_home and os.path.exists(cuda_home):
        for _dir in ['%s/include' % cuda_home]:
            if os.path.exists(_dir):
                cuda_include_dirs.append(_dir)

        for _dir in ['%s/lib' % cuda_home, '%s/lib64' % cuda_home]:
            if os.path.exists(_dir):
                cuda_lib_dirs.append(_dir)

    if cuda_include and os.path.exists(cuda_include) and cuda_include not in cuda_include_dirs:
        cuda_include_dirs.append(cuda_include)

    if cuda_lib and os.path.exists(cuda_lib) and cuda_lib not in cuda_lib_dirs:
        cuda_lib_dirs.append(cuda_lib)

    if not cuda_include_dirs and not cuda_lib_dirs:
        # default to /usr/local/cuda
        cuda_include_dirs += ['/usr/local/cuda/include']
        cuda_lib_dirs += ['/usr/local/cuda/lib', '/usr/local/cuda/lib64']

    try:
        test_compile(
            build_ext,
            'test_cuda',
            libraries=['cudart'],
            include_dirs=cuda_include_dirs,
            library_dirs=cuda_lib_dirs,
            extra_compile_preargs=cpp_flags,
            code=textwrap.dedent(
                '''\
                #include <cuda_runtime.h>
                void test() {
                    cudaSetDevice(0);
                }
                '''
            )
        )

    except (CompileError, LinkError):
        raise DistutilsPlatformError(
            'CUDA library was not found (see error above).\n'
            'Please specify correct CUDA location with the CUDA_HOME '
            'environment variable or combination of CUDA_INCLUDE and '
            'CUDA_LIB environment variables.\n\n'
            'CUDA_HOME - path where CUDA include and lib directories can be found\n'
            'CUDA_INCLUDE - path to CUDA include directory\n'
            'CUDA_LIB - path to CUDA lib directory'
        )

    return cuda_include_dirs, cuda_lib_dirs 

# 需要导入模块: from distutils import errors [as 别名]
# 或者: from distutils.errors import LinkError [as 别名]
def check_required_library(libname, libraries=None, include_dir=None):
    """
    Check if the required shared library exists

    :param libname: The name of shared library
    :type libname: str
    :return True if the required shared lib exists else false
    :rtype: bool
    """
    build_success = True
    tmp_dir = tempfile.mkdtemp(prefix='tmp_' + libname + '_')
    bin_file_name = os.path.join(tmp_dir, 'test_' + libname)
    file_name = bin_file_name + '.c'
    with open(file_name, 'w') as filep:
        filep.write(LIBNAME_CODE_DICT[libname])
    compiler = distutils.ccompiler.new_compiler()
    distutils.sysconfig.customize_compiler(compiler)
    try:
        compiler.link_executable(
            compiler.compile([file_name],
                             include_dirs=include_dir),
            bin_file_name,
            libraries=libraries,
        )
    except CompileError:
        build_success = False
    except LinkError:
        build_success = False
    finally:
        shutil.rmtree(tmp_dir)
    if build_success:
        return True
    err_msg = "The development package for " + \
               libname + " is required " + \
               "for the compilation of roguehostapd. " + \
               "Please install it and " + \
               "rerun the script (e.g. on Debian-based systems " \
               "run: apt-get install " 
    if libname == "openssl":
        err_msg += "libssl-dev"
    else:
        err_msg += "libnl-3-dev libnl-genl-3-dev"
    sys.exit(err_msg)