Videre

linedance-app/venv/lib/python3.12/site-packages/numba/cuda/cuda_paths.py

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+import sys
+import re
+import os
+from collections import namedtuple
+
+from numba.core.config import IS_WIN32
+from numba.misc.findlib import find_lib, find_file
+
+
+_env_path_tuple = namedtuple('_env_path_tuple', ['by', 'info'])
+
+
+def _find_valid_path(options):
+    """Find valid path from *options*, which is a list of 2-tuple of
+    (name, path).  Return first pair where *path* is not None.
+    If no valid path is found, return ('<unknown>', None)
+    """
+    for by, data in options:
+        if data is not None:
+            return by, data
+    else:
+        return '<unknown>', None
+
+
+def _get_libdevice_path_decision():
+    options = [
+        ('Conda environment', get_conda_ctk()),
+        ('Conda environment (NVIDIA package)', get_nvidia_libdevice_ctk()),
+        ('CUDA_HOME', get_cuda_home('nvvm', 'libdevice')),
+        ('System', get_system_ctk('nvvm', 'libdevice')),
+        ('Debian package', get_debian_pkg_libdevice()),
+    ]
+    by, libdir = _find_valid_path(options)
+    return by, libdir
+
+
+def _nvvm_lib_dir():
+    if IS_WIN32:
+        return 'nvvm', 'bin'
+    else:
+        return 'nvvm', 'lib64'
+
+
+def _get_nvvm_path_decision():
+    options = [
+        ('Conda environment', get_conda_ctk()),
+        ('Conda environment (NVIDIA package)', get_nvidia_nvvm_ctk()),
+        ('CUDA_HOME', get_cuda_home(*_nvvm_lib_dir())),
+        ('System', get_system_ctk(*_nvvm_lib_dir())),
+    ]
+    by, path = _find_valid_path(options)
+    return by, path
+
+
+def _get_libdevice_paths():
+    by, libdir = _get_libdevice_path_decision()
+    # Search for pattern
+    pat = r'libdevice(\.\d+)*\.bc$'
+    candidates = find_file(re.compile(pat), libdir)
+    # Keep only the max (most recent version) of the bitcode files.
+    out = max(candidates, default=None)
+    return _env_path_tuple(by, out)
+
+
+def _cudalib_path():
+    if IS_WIN32:
+        return 'bin'
+    else:
+        return 'lib64'
+
+
+def _cuda_home_static_cudalib_path():
+    if IS_WIN32:
+        return ('lib', 'x64')
+    else:
+        return ('lib64',)
+
+
+def _get_cudalib_dir_path_decision():
+    options = [
+        ('Conda environment', get_conda_ctk()),
+        ('Conda environment (NVIDIA package)', get_nvidia_cudalib_ctk()),
+        ('CUDA_HOME', get_cuda_home(_cudalib_path())),
+        ('System', get_system_ctk(_cudalib_path())),
+    ]
+    by, libdir = _find_valid_path(options)
+    return by, libdir
+
+
+def _get_static_cudalib_dir_path_decision():
+    options = [
+        ('Conda environment', get_conda_ctk()),
+        ('Conda environment (NVIDIA package)', get_nvidia_static_cudalib_ctk()),
+        ('CUDA_HOME', get_cuda_home(*_cuda_home_static_cudalib_path())),
+        ('System', get_system_ctk(_cudalib_path())),
+    ]
+    by, libdir = _find_valid_path(options)
+    return by, libdir
+
+
+def _get_cudalib_dir():
+    by, libdir = _get_cudalib_dir_path_decision()
+    return _env_path_tuple(by, libdir)
+
+
+def _get_static_cudalib_dir():
+    by, libdir = _get_static_cudalib_dir_path_decision()
+    return _env_path_tuple(by, libdir)
+
+
+def get_system_ctk(*subdirs):
+    """Return path to system-wide cudatoolkit; or, None if it doesn't exist.
+    """
+    # Linux?
+    if sys.platform.startswith('linux'):
+        # Is cuda alias to /usr/local/cuda?
+        # We are intentionally not getting versioned cuda installation.
+        base = '/usr/local/cuda'
+        if os.path.exists(base):
+            return os.path.join(base, *subdirs)
+
+
+def get_conda_ctk():
+    """Return path to directory containing the shared libraries of cudatoolkit.
+    """
+    is_conda_env = os.path.exists(os.path.join(sys.prefix, 'conda-meta'))
+    if not is_conda_env:
+        return
+    # Assume the existence of NVVM to imply cudatoolkit installed
+    paths = find_lib('nvvm')
+    if not paths:
+        return
+    # Use the directory name of the max path
+    return os.path.dirname(max(paths))
+
+
+def get_nvidia_nvvm_ctk():
+    """Return path to directory containing the NVVM shared library.
+    """
+    is_conda_env = os.path.exists(os.path.join(sys.prefix, 'conda-meta'))
+    if not is_conda_env:
+        return
+
+    # Assume the existence of NVVM in the conda env implies that a CUDA toolkit
+    # conda package is installed.
+
+    # First, try the location used on Linux and the Windows 11.x packages
+    libdir = os.path.join(sys.prefix, 'nvvm', _cudalib_path())
+    if not os.path.exists(libdir) or not os.path.isdir(libdir):
+        # If that fails, try the location used for Windows 12.x packages
+        libdir = os.path.join(sys.prefix, 'Library', 'nvvm', _cudalib_path())
+        if not os.path.exists(libdir) or not os.path.isdir(libdir):
+            # If that doesn't exist either, assume we don't have the NVIDIA
+            # conda package
+            return
+
+    paths = find_lib('nvvm', libdir=libdir)
+    if not paths:
+        return
+    # Use the directory name of the max path
+    return os.path.dirname(max(paths))
+
+
+def get_nvidia_libdevice_ctk():
+    """Return path to directory containing the libdevice library.
+    """
+    nvvm_ctk = get_nvidia_nvvm_ctk()
+    if not nvvm_ctk:
+        return
+    nvvm_dir = os.path.dirname(nvvm_ctk)
+    return os.path.join(nvvm_dir, 'libdevice')
+
+
+def get_nvidia_cudalib_ctk():
+    """Return path to directory containing the shared libraries of cudatoolkit.
+    """
+    nvvm_ctk = get_nvidia_nvvm_ctk()
+    if not nvvm_ctk:
+        return
+    env_dir = os.path.dirname(os.path.dirname(nvvm_ctk))
+    subdir = 'bin' if IS_WIN32 else 'lib'
+    return os.path.join(env_dir, subdir)
+
+
+def get_nvidia_static_cudalib_ctk():
+    """Return path to directory containing the static libraries of cudatoolkit.
+    """
+    nvvm_ctk = get_nvidia_nvvm_ctk()
+    if not nvvm_ctk:
+        return
+
+    if IS_WIN32 and ("Library" not in nvvm_ctk):
+        # Location specific to CUDA 11.x packages on Windows
+        dirs = ('Lib', 'x64')
+    else:
+        # Linux, or Windows with CUDA 12.x packages
+        dirs = ('lib',)
+
+    env_dir = os.path.dirname(os.path.dirname(nvvm_ctk))
+    return os.path.join(env_dir, *dirs)
+
+
+def get_cuda_home(*subdirs):
+    """Get paths of CUDA_HOME.
+    If *subdirs* are the subdirectory name to be appended in the resulting
+    path.
+    """
+    cuda_home = os.environ.get('CUDA_HOME')
+    if cuda_home is None:
+        # Try Windows CUDA installation without Anaconda
+        cuda_home = os.environ.get('CUDA_PATH')
+    if cuda_home is not None:
+        return os.path.join(cuda_home, *subdirs)
+
+
+def _get_nvvm_path():
+    by, path = _get_nvvm_path_decision()
+    candidates = find_lib('nvvm', path)
+    path = max(candidates) if candidates else None
+    return _env_path_tuple(by, path)
+
+
+def get_cuda_paths():
+    """Returns a dictionary mapping component names to a 2-tuple
+    of (source_variable, info).
+
+    The returned dictionary will have the following keys and infos:
+    - "nvvm": file_path
+    - "libdevice": List[Tuple[arch, file_path]]
+    - "cudalib_dir": directory_path
+
+    Note: The result of the function is cached.
+    """
+    # Check cache
+    if hasattr(get_cuda_paths, '_cached_result'):
+        return get_cuda_paths._cached_result
+    else:
+        # Not in cache
+        d = {
+            'nvvm': _get_nvvm_path(),
+            'libdevice': _get_libdevice_paths(),
+            'cudalib_dir': _get_cudalib_dir(),
+            'static_cudalib_dir': _get_static_cudalib_dir(),
+        }
+        # Cache result
+        get_cuda_paths._cached_result = d
+        return d
+
+
+def get_debian_pkg_libdevice():
+    """
+    Return the Debian NVIDIA Maintainers-packaged libdevice location, if it
+    exists.
+    """
+    pkg_libdevice_location = '/usr/lib/nvidia-cuda-toolkit/libdevice'
+    if not os.path.exists(pkg_libdevice_location):
+        return None
+    return pkg_libdevice_location