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videollama2/lib/python3.10/site-packages/setuptools/monkey.py

@@ -0,0 +1,126 @@
+"""
+Monkey patching of distutils.
+"""
+
+from __future__ import annotations
+
+import inspect
+import platform
+import sys
+import types
+from typing import TypeVar, cast, overload
+
+import distutils.filelist
+
+_T = TypeVar("_T")
+_UnpatchT = TypeVar("_UnpatchT", type, types.FunctionType)
+
+
+__all__: list[str] = []
+"""
+Everything is private. Contact the project team
+if you think you need this functionality.
+"""
+
+
+def _get_mro(cls):
+    """
+    Returns the bases classes for cls sorted by the MRO.
+
+    Works around an issue on Jython where inspect.getmro will not return all
+    base classes if multiple classes share the same name. Instead, this
+    function will return a tuple containing the class itself, and the contents
+    of cls.__bases__. See https://github.com/pypa/setuptools/issues/1024.
+    """
+    if platform.python_implementation() == "Jython":
+        return (cls,) + cls.__bases__
+    return inspect.getmro(cls)
+
+
+@overload
+def get_unpatched(item: _UnpatchT) -> _UnpatchT: ...
+@overload
+def get_unpatched(item: object) -> None: ...
+def get_unpatched(
+    item: type | types.FunctionType | object,
+) -> type | types.FunctionType | None:
+    if isinstance(item, type):
+        return get_unpatched_class(item)
+    if isinstance(item, types.FunctionType):
+        return get_unpatched_function(item)
+    return None
+
+
+def get_unpatched_class(cls: type[_T]) -> type[_T]:
+    """Protect against re-patching the distutils if reloaded
+
+    Also ensures that no other distutils extension monkeypatched the distutils
+    first.
+    """
+    external_bases = (
+        cast(type[_T], cls)
+        for cls in _get_mro(cls)
+        if not cls.__module__.startswith('setuptools')
+    )
+    base = next(external_bases)
+    if not base.__module__.startswith('distutils'):
+        msg = f"distutils has already been patched by {cls!r}"
+        raise AssertionError(msg)
+    return base
+
+
+def patch_all():
+    import setuptools
+
+    # we can't patch distutils.cmd, alas
+    distutils.core.Command = setuptools.Command  # type: ignore[misc,assignment] # monkeypatching
+
+    _patch_distribution_metadata()
+
+    # Install Distribution throughout the distutils
+    for module in distutils.dist, distutils.core, distutils.cmd:
+        module.Distribution = setuptools.dist.Distribution
+
+    # Install the patched Extension
+    distutils.core.Extension = setuptools.extension.Extension  # type: ignore[misc,assignment] # monkeypatching
+    distutils.extension.Extension = setuptools.extension.Extension  # type: ignore[misc,assignment] # monkeypatching
+    if 'distutils.command.build_ext' in sys.modules:
+        sys.modules[
+            'distutils.command.build_ext'
+        ].Extension = setuptools.extension.Extension
+
+
+def _patch_distribution_metadata():
+    from . import _core_metadata
+
+    """Patch write_pkg_file and read_pkg_file for higher metadata standards"""
+    for attr in (
+        'write_pkg_info',
+        'write_pkg_file',
+        'read_pkg_file',
+        'get_metadata_version',
+        'get_fullname',
+    ):
+        new_val = getattr(_core_metadata, attr)
+        setattr(distutils.dist.DistributionMetadata, attr, new_val)
+
+
+def patch_func(replacement, target_mod, func_name):
+    """
+    Patch func_name in target_mod with replacement
+
+    Important - original must be resolved by name to avoid
+    patching an already patched function.
+    """
+    original = getattr(target_mod, func_name)
+
+    # set the 'unpatched' attribute on the replacement to
+    # point to the original.
+    vars(replacement).setdefault('unpatched', original)
+
+    # replace the function in the original module
+    setattr(target_mod, func_name, replacement)
+
+
+def get_unpatched_function(candidate):
+    return candidate.unpatched

videollama2/lib/python3.10/site-packages/setuptools/msvc.py

@@ -0,0 +1,1527 @@
+"""
+Environment info about Microsoft Compilers.
+
+>>> getfixture('windows_only')
+>>> ei = EnvironmentInfo('amd64')
+"""
+
+from __future__ import annotations
+
+import contextlib
+import itertools
+import json
+import os
+import os.path
+import platform
+from typing import TYPE_CHECKING, TypedDict
+
+from more_itertools import unique_everseen
+
+import distutils.errors
+
+if TYPE_CHECKING:
+    from typing_extensions import LiteralString, NotRequired
+
+# https://github.com/python/mypy/issues/8166
+if not TYPE_CHECKING and platform.system() == 'Windows':
+    import winreg
+    from os import environ
+else:
+    # Mock winreg and environ so the module can be imported on this platform.
+
+    class winreg:
+        HKEY_USERS = None
+        HKEY_CURRENT_USER = None
+        HKEY_LOCAL_MACHINE = None
+        HKEY_CLASSES_ROOT = None
+
+    environ: dict[str, str] = dict()
+
+
+class PlatformInfo:
+    """
+    Current and Target Architectures information.
+
+    Parameters
+    ----------
+    arch: str
+        Target architecture.
+    """
+
+    current_cpu = environ.get('processor_architecture', '').lower()
+
+    def __init__(self, arch) -> None:
+        self.arch = arch.lower().replace('x64', 'amd64')
+
+    @property
+    def target_cpu(self):
+        """
+        Return Target CPU architecture.
+
+        Return
+        ------
+        str
+            Target CPU
+        """
+        return self.arch[self.arch.find('_') + 1 :]
+
+    def target_is_x86(self):
+        """
+        Return True if target CPU is x86 32 bits..
+
+        Return
+        ------
+        bool
+            CPU is x86 32 bits
+        """
+        return self.target_cpu == 'x86'
+
+    def current_is_x86(self):
+        """
+        Return True if current CPU is x86 32 bits..
+
+        Return
+        ------
+        bool
+            CPU is x86 32 bits
+        """
+        return self.current_cpu == 'x86'
+
+    def current_dir(self, hidex86=False, x64=False) -> str:
+        """
+        Current platform specific subfolder.
+
+        Parameters
+        ----------
+        hidex86: bool
+            return '' and not '\x86' if architecture is x86.
+        x64: bool
+            return '\x64' and not '\amd64' if architecture is amd64.
+
+        Return
+        ------
+        str
+            subfolder: '\target', or '' (see hidex86 parameter)
+        """
+        return (
+            ''
+            if (self.current_cpu == 'x86' and hidex86)
+            else r'\x64'
+            if (self.current_cpu == 'amd64' and x64)
+            else rf'\{self.current_cpu}'
+        )
+
+    def target_dir(self, hidex86=False, x64=False) -> str:
+        r"""
+        Target platform specific subfolder.
+
+        Parameters
+        ----------
+        hidex86: bool
+            return '' and not '\x86' if architecture is x86.
+        x64: bool
+            return '\x64' and not '\amd64' if architecture is amd64.
+
+        Return
+        ------
+        str
+            subfolder: '\current', or '' (see hidex86 parameter)
+        """
+        return (
+            ''
+            if (self.target_cpu == 'x86' and hidex86)
+            else r'\x64'
+            if (self.target_cpu == 'amd64' and x64)
+            else rf'\{self.target_cpu}'
+        )
+
+    def cross_dir(self, forcex86=False):
+        r"""
+        Cross platform specific subfolder.
+
+        Parameters
+        ----------
+        forcex86: bool
+            Use 'x86' as current architecture even if current architecture is
+            not x86.
+
+        Return
+        ------
+        str
+            subfolder: '' if target architecture is current architecture,
+            '\current_target' if not.
+        """
+        current = 'x86' if forcex86 else self.current_cpu
+        return (
+            ''
+            if self.target_cpu == current
+            else self.target_dir().replace('\\', f'\\{current}_')
+        )
+
+
+class RegistryInfo:
+    """
+    Microsoft Visual Studio related registry information.
+
+    Parameters
+    ----------
+    platform_info: PlatformInfo
+        "PlatformInfo" instance.
+    """
+
+    HKEYS = (
+        winreg.HKEY_USERS,
+        winreg.HKEY_CURRENT_USER,
+        winreg.HKEY_LOCAL_MACHINE,
+        winreg.HKEY_CLASSES_ROOT,
+    )
+
+    def __init__(self, platform_info) -> None:
+        self.pi = platform_info
+
+    @property
+    def visualstudio(self) -> str:
+        """
+        Microsoft Visual Studio root registry key.
+
+        Return
+        ------
+        str
+            Registry key
+        """
+        return 'VisualStudio'
+
+    @property
+    def sxs(self):
+        """
+        Microsoft Visual Studio SxS registry key.
+
+        Return
+        ------
+        str
+            Registry key
+        """
+        return os.path.join(self.visualstudio, 'SxS')
+
+    @property
+    def vc(self):
+        """
+        Microsoft Visual C++ VC7 registry key.
+
+        Return
+        ------
+        str
+            Registry key
+        """
+        return os.path.join(self.sxs, 'VC7')
+
+    @property
+    def vs(self):
+        """
+        Microsoft Visual Studio VS7 registry key.
+
+        Return
+        ------
+        str
+            Registry key
+        """
+        return os.path.join(self.sxs, 'VS7')
+
+    @property
+    def vc_for_python(self) -> str:
+        """
+        Microsoft Visual C++ for Python registry key.
+
+        Return
+        ------
+        str
+            Registry key
+        """
+        return r'DevDiv\VCForPython'
+
+    @property
+    def microsoft_sdk(self) -> str:
+        """
+        Microsoft SDK registry key.
+
+        Return
+        ------
+        str
+            Registry key
+        """
+        return 'Microsoft SDKs'
+
+    @property
+    def windows_sdk(self):
+        """
+        Microsoft Windows/Platform SDK registry key.
+
+        Return
+        ------
+        str
+            Registry key
+        """
+        return os.path.join(self.microsoft_sdk, 'Windows')
+
+    @property
+    def netfx_sdk(self):
+        """
+        Microsoft .NET Framework SDK registry key.
+
+        Return
+        ------
+        str
+            Registry key
+        """
+        return os.path.join(self.microsoft_sdk, 'NETFXSDK')
+
+    @property
+    def windows_kits_roots(self) -> str:
+        """
+        Microsoft Windows Kits Roots registry key.
+
+        Return
+        ------
+        str
+            Registry key
+        """
+        return r'Windows Kits\Installed Roots'
+
+    def microsoft(self, key, x86=False):
+        """
+        Return key in Microsoft software registry.
+
+        Parameters
+        ----------
+        key: str
+            Registry key path where look.
+        x86: str
+            Force x86 software registry.
+
+        Return
+        ------
+        str
+            Registry key
+        """
+        node64 = '' if self.pi.current_is_x86() or x86 else 'Wow6432Node'
+        return os.path.join('Software', node64, 'Microsoft', key)
+
+    def lookup(self, key, name):
+        """
+        Look for values in registry in Microsoft software registry.
+
+        Parameters
+        ----------
+        key: str
+            Registry key path where look.
+        name: str
+            Value name to find.
+
+        Return
+        ------
+        str
+            value
+        """
+        key_read = winreg.KEY_READ
+        openkey = winreg.OpenKey
+        closekey = winreg.CloseKey
+        ms = self.microsoft
+        for hkey in self.HKEYS:
+            bkey = None
+            try:
+                bkey = openkey(hkey, ms(key), 0, key_read)
+            except OSError:
+                if not self.pi.current_is_x86():
+                    try:
+                        bkey = openkey(hkey, ms(key, True), 0, key_read)
+                    except OSError:
+                        continue
+                else:
+                    continue
+            try:
+                return winreg.QueryValueEx(bkey, name)[0]
+            except OSError:
+                pass
+            finally:
+                if bkey:
+                    closekey(bkey)
+        return None
+
+
+class SystemInfo:
+    """
+    Microsoft Windows and Visual Studio related system information.
+
+    Parameters
+    ----------
+    registry_info: RegistryInfo
+        "RegistryInfo" instance.
+    vc_ver: float
+        Required Microsoft Visual C++ version.
+    """
+
+    # Variables and properties in this class use originals CamelCase variables
+    # names from Microsoft source files for more easy comparison.
+    WinDir = environ.get('WinDir', '')
+    ProgramFiles = environ.get('ProgramFiles', '')
+    ProgramFilesx86 = environ.get('ProgramFiles(x86)', ProgramFiles)
+
+    def __init__(self, registry_info, vc_ver=None) -> None:
+        self.ri = registry_info
+        self.pi = self.ri.pi
+
+        self.known_vs_paths = self.find_programdata_vs_vers()
+
+        # Except for VS15+, VC version is aligned with VS version
+        self.vs_ver = self.vc_ver = vc_ver or self._find_latest_available_vs_ver()
+
+    def _find_latest_available_vs_ver(self):
+        """
+        Find the latest VC version
+
+        Return
+        ------
+        float
+            version
+        """
+        reg_vc_vers = self.find_reg_vs_vers()
+
+        if not (reg_vc_vers or self.known_vs_paths):
+            raise distutils.errors.DistutilsPlatformError(
+                'No Microsoft Visual C++ version found'
+            )
+
+        vc_vers = set(reg_vc_vers)
+        vc_vers.update(self.known_vs_paths)
+        return sorted(vc_vers)[-1]
+
+    def find_reg_vs_vers(self):
+        """
+        Find Microsoft Visual Studio versions available in registry.
+
+        Return
+        ------
+        list of float
+            Versions
+        """
+        ms = self.ri.microsoft
+        vckeys = (self.ri.vc, self.ri.vc_for_python, self.ri.vs)
+        vs_vers = []
+        for hkey, key in itertools.product(self.ri.HKEYS, vckeys):
+            try:
+                bkey = winreg.OpenKey(hkey, ms(key), 0, winreg.KEY_READ)
+            except OSError:
+                continue
+            with bkey:
+                subkeys, values, _ = winreg.QueryInfoKey(bkey)
+                for i in range(values):
+                    with contextlib.suppress(ValueError):
+                        ver = float(winreg.EnumValue(bkey, i)[0])
+                        if ver not in vs_vers:
+                            vs_vers.append(ver)
+                for i in range(subkeys):
+                    with contextlib.suppress(ValueError):
+                        ver = float(winreg.EnumKey(bkey, i))
+                        if ver not in vs_vers:
+                            vs_vers.append(ver)
+        return sorted(vs_vers)
+
+    def find_programdata_vs_vers(self) -> dict[float, str]:
+        r"""
+        Find Visual studio 2017+ versions from information in
+        "C:\ProgramData\Microsoft\VisualStudio\Packages\_Instances".
+
+        Return
+        ------
+        dict
+            float version as key, path as value.
+        """
+        vs_versions: dict[float, str] = {}
+        instances_dir = r'C:\ProgramData\Microsoft\VisualStudio\Packages\_Instances'
+
+        try:
+            hashed_names = os.listdir(instances_dir)
+
+        except OSError:
+            # Directory not exists with all Visual Studio versions
+            return vs_versions
+
+        for name in hashed_names:
+            try:
+                # Get VS installation path from "state.json" file
+                state_path = os.path.join(instances_dir, name, 'state.json')
+                with open(state_path, 'rt', encoding='utf-8') as state_file:
+                    state = json.load(state_file)
+                vs_path = state['installationPath']
+
+                # Raises OSError if this VS installation does not contain VC
+                os.listdir(os.path.join(vs_path, r'VC\Tools\MSVC'))
+
+                # Store version and path
+                vs_versions[self._as_float_version(state['installationVersion'])] = (
+                    vs_path
+                )
+
+            except (OSError, KeyError):
+                # Skip if "state.json" file is missing or bad format
+                continue
+
+        return vs_versions
+
+    @staticmethod
+    def _as_float_version(version):
+        """
+        Return a string version as a simplified float version (major.minor)
+
+        Parameters
+        ----------
+        version: str
+            Version.
+
+        Return
+        ------
+        float
+            version
+        """
+        return float('.'.join(version.split('.')[:2]))
+
+    @property
+    def VSInstallDir(self):
+        """
+        Microsoft Visual Studio directory.
+
+        Return
+        ------
+        str
+            path
+        """
+        # Default path
+        default = os.path.join(
+            self.ProgramFilesx86, f'Microsoft Visual Studio {self.vs_ver:0.1f}'
+        )
+
+        # Try to get path from registry, if fail use default path
+        return self.ri.lookup(self.ri.vs, f'{self.vs_ver:0.1f}') or default
+
+    @property
+    def VCInstallDir(self):
+        """
+        Microsoft Visual C++ directory.
+
+        Return
+        ------
+        str
+            path
+        """
+        path = self._guess_vc() or self._guess_vc_legacy()
+
+        if not os.path.isdir(path):
+            msg = 'Microsoft Visual C++ directory not found'
+            raise distutils.errors.DistutilsPlatformError(msg)
+
+        return path
+
+    def _guess_vc(self):
+        """
+        Locate Visual C++ for VS2017+.
+
+        Return
+        ------
+        str
+            path
+        """
+        if self.vs_ver <= 14.0:
+            return ''
+
+        try:
+            # First search in known VS paths
+            vs_dir = self.known_vs_paths[self.vs_ver]
+        except KeyError:
+            # Else, search with path from registry
+            vs_dir = self.VSInstallDir
+
+        guess_vc = os.path.join(vs_dir, r'VC\Tools\MSVC')
+
+        # Subdir with VC exact version as name
+        try:
+            # Update the VC version with real one instead of VS version
+            vc_ver = os.listdir(guess_vc)[-1]
+            self.vc_ver = self._as_float_version(vc_ver)
+            return os.path.join(guess_vc, vc_ver)
+        except (OSError, IndexError):
+            return ''
+
+    def _guess_vc_legacy(self):
+        """
+        Locate Visual C++ for versions prior to 2017.
+
+        Return
+        ------
+        str
+            path
+        """
+        default = os.path.join(
+            self.ProgramFilesx86,
+            rf'Microsoft Visual Studio {self.vs_ver:0.1f}\VC',
+        )
+
+        # Try to get "VC++ for Python" path from registry as default path
+        reg_path = os.path.join(self.ri.vc_for_python, f'{self.vs_ver:0.1f}')
+        python_vc = self.ri.lookup(reg_path, 'installdir')
+        default_vc = os.path.join(python_vc, 'VC') if python_vc else default
+
+        # Try to get path from registry, if fail use default path
+        return self.ri.lookup(self.ri.vc, f'{self.vs_ver:0.1f}') or default_vc
+
+    @property
+    def WindowsSdkVersion(self) -> tuple[LiteralString, ...]:
+        """
+        Microsoft Windows SDK versions for specified MSVC++ version.
+
+        Return
+        ------
+        tuple of str
+            versions
+        """
+        if self.vs_ver <= 9.0:
+            return '7.0', '6.1', '6.0a'
+        elif self.vs_ver == 10.0:
+            return '7.1', '7.0a'
+        elif self.vs_ver == 11.0:
+            return '8.0', '8.0a'
+        elif self.vs_ver == 12.0:
+            return '8.1', '8.1a'
+        elif self.vs_ver >= 14.0:
+            return '10.0', '8.1'
+        return ()
+
+    @property
+    def WindowsSdkLastVersion(self):
+        """
+        Microsoft Windows SDK last version.
+
+        Return
+        ------
+        str
+            version
+        """
+        return self._use_last_dir_name(os.path.join(self.WindowsSdkDir, 'lib'))
+
+    @property
+    def WindowsSdkDir(self) -> str | None:  # noqa: C901  # is too complex (12)  # FIXME
+        """
+        Microsoft Windows SDK directory.
+
+        Return
+        ------
+        str
+            path
+        """
+        sdkdir: str | None = ''
+        for ver in self.WindowsSdkVersion:
+            # Try to get it from registry
+            loc = os.path.join(self.ri.windows_sdk, f'v{ver}')
+            sdkdir = self.ri.lookup(loc, 'installationfolder')
+            if sdkdir:
+                break
+        if not sdkdir or not os.path.isdir(sdkdir):
+            # Try to get "VC++ for Python" version from registry
+            path = os.path.join(self.ri.vc_for_python, f'{self.vc_ver:0.1f}')
+            install_base = self.ri.lookup(path, 'installdir')
+            if install_base:
+                sdkdir = os.path.join(install_base, 'WinSDK')
+        if not sdkdir or not os.path.isdir(sdkdir):
+            # If fail, use default new path
+            for ver in self.WindowsSdkVersion:
+                intver = ver[: ver.rfind('.')]
+                path = rf'Microsoft SDKs\Windows Kits\{intver}'
+                d = os.path.join(self.ProgramFiles, path)
+                if os.path.isdir(d):
+                    sdkdir = d
+        if not sdkdir or not os.path.isdir(sdkdir):
+            # If fail, use default old path
+            for ver in self.WindowsSdkVersion:
+                path = rf'Microsoft SDKs\Windows\v{ver}'
+                d = os.path.join(self.ProgramFiles, path)
+                if os.path.isdir(d):
+                    sdkdir = d
+        if not sdkdir:
+            # If fail, use Platform SDK
+            sdkdir = os.path.join(self.VCInstallDir, 'PlatformSDK')
+        return sdkdir
+
+    @property
+    def WindowsSDKExecutablePath(self):
+        """
+        Microsoft Windows SDK executable directory.
+
+        Return
+        ------
+        str
+            path
+        """
+        # Find WinSDK NetFx Tools registry dir name
+        if self.vs_ver <= 11.0:
+            netfxver = 35
+            arch = ''
+        else:
+            netfxver = 40
+            hidex86 = True if self.vs_ver <= 12.0 else False
+            arch = self.pi.current_dir(x64=True, hidex86=hidex86).replace('\\', '-')
+        fx = f'WinSDK-NetFx{netfxver}Tools{arch}'
+
+        # list all possibles registry paths
+        regpaths = []
+        if self.vs_ver >= 14.0:
+            for ver in self.NetFxSdkVersion:
+                regpaths += [os.path.join(self.ri.netfx_sdk, ver, fx)]
+
+        for ver in self.WindowsSdkVersion:
+            regpaths += [os.path.join(self.ri.windows_sdk, f'v{ver}A', fx)]
+
+        # Return installation folder from the more recent path
+        for path in regpaths:
+            execpath = self.ri.lookup(path, 'installationfolder')
+            if execpath:
+                return execpath
+
+        return None
+
+    @property
+    def FSharpInstallDir(self):
+        """
+        Microsoft Visual F# directory.
+
+        Return
+        ------
+        str
+            path
+        """
+        path = os.path.join(self.ri.visualstudio, rf'{self.vs_ver:0.1f}\Setup\F#')
+        return self.ri.lookup(path, 'productdir') or ''
+
+    @property
+    def UniversalCRTSdkDir(self):
+        """
+        Microsoft Universal CRT SDK directory.
+
+        Return
+        ------
+        str
+            path
+        """
+        # Set Kit Roots versions for specified MSVC++ version
+        vers = ('10', '81') if self.vs_ver >= 14.0 else ()
+
+        # Find path of the more recent Kit
+        for ver in vers:
+            sdkdir = self.ri.lookup(self.ri.windows_kits_roots, f'kitsroot{ver}')
+            if sdkdir:
+                return sdkdir or ''
+
+        return None
+
+    @property
+    def UniversalCRTSdkLastVersion(self):
+        """
+        Microsoft Universal C Runtime SDK last version.
+
+        Return
+        ------
+        str
+            version
+        """
+        return self._use_last_dir_name(os.path.join(self.UniversalCRTSdkDir, 'lib'))
+
+    @property
+    def NetFxSdkVersion(self):
+        """
+        Microsoft .NET Framework SDK versions.
+
+        Return
+        ------
+        tuple of str
+            versions
+        """
+        # Set FxSdk versions for specified VS version
+        return (
+            ('4.7.2', '4.7.1', '4.7', '4.6.2', '4.6.1', '4.6', '4.5.2', '4.5.1', '4.5')
+            if self.vs_ver >= 14.0
+            else ()
+        )
+
+    @property
+    def NetFxSdkDir(self):
+        """
+        Microsoft .NET Framework SDK directory.
+
+        Return
+        ------
+        str
+            path
+        """
+        sdkdir = ''
+        for ver in self.NetFxSdkVersion:
+            loc = os.path.join(self.ri.netfx_sdk, ver)
+            sdkdir = self.ri.lookup(loc, 'kitsinstallationfolder')
+            if sdkdir:
+                break
+        return sdkdir
+
+    @property
+    def FrameworkDir32(self):
+        """
+        Microsoft .NET Framework 32bit directory.
+
+        Return
+        ------
+        str
+            path
+        """
+        # Default path
+        guess_fw = os.path.join(self.WinDir, r'Microsoft.NET\Framework')
+
+        # Try to get path from registry, if fail use default path
+        return self.ri.lookup(self.ri.vc, 'frameworkdir32') or guess_fw
+
+    @property
+    def FrameworkDir64(self):
+        """
+        Microsoft .NET Framework 64bit directory.
+
+        Return
+        ------
+        str
+            path
+        """
+        # Default path
+        guess_fw = os.path.join(self.WinDir, r'Microsoft.NET\Framework64')
+
+        # Try to get path from registry, if fail use default path
+        return self.ri.lookup(self.ri.vc, 'frameworkdir64') or guess_fw
+
+    @property
+    def FrameworkVersion32(self) -> tuple[str, ...]:
+        """
+        Microsoft .NET Framework 32bit versions.
+
+        Return
+        ------
+        tuple of str
+            versions
+        """
+        return self._find_dot_net_versions(32)
+
+    @property
+    def FrameworkVersion64(self) -> tuple[str, ...]:
+        """
+        Microsoft .NET Framework 64bit versions.
+
+        Return
+        ------
+        tuple of str
+            versions
+        """
+        return self._find_dot_net_versions(64)
+
+    def _find_dot_net_versions(self, bits) -> tuple[str, ...]:
+        """
+        Find Microsoft .NET Framework versions.
+
+        Parameters
+        ----------
+        bits: int
+            Platform number of bits: 32 or 64.
+
+        Return
+        ------
+        tuple of str
+            versions
+        """
+        # Find actual .NET version in registry
+        reg_ver = self.ri.lookup(self.ri.vc, f'frameworkver{bits}')
+        dot_net_dir = getattr(self, f'FrameworkDir{bits}')
+        ver = reg_ver or self._use_last_dir_name(dot_net_dir, 'v') or ''
+
+        # Set .NET versions for specified MSVC++ version
+        if self.vs_ver >= 12.0:
+            return ver, 'v4.0'
+        elif self.vs_ver >= 10.0:
+            return 'v4.0.30319' if ver.lower()[:2] != 'v4' else ver, 'v3.5'
+        elif self.vs_ver == 9.0:
+            return 'v3.5', 'v2.0.50727'
+        elif self.vs_ver == 8.0:
+            return 'v3.0', 'v2.0.50727'
+        return ()
+
+    @staticmethod
+    def _use_last_dir_name(path, prefix=''):
+        """
+        Return name of the last dir in path or '' if no dir found.
+
+        Parameters
+        ----------
+        path: str
+            Use dirs in this path
+        prefix: str
+            Use only dirs starting by this prefix
+
+        Return
+        ------
+        str
+            name
+        """
+        matching_dirs = (
+            dir_name
+            for dir_name in reversed(os.listdir(path))
+            if os.path.isdir(os.path.join(path, dir_name))
+            and dir_name.startswith(prefix)
+        )
+        return next(matching_dirs, None) or ''
+
+
+class _EnvironmentDict(TypedDict):
+    include: str
+    lib: str
+    libpath: str
+    path: str
+    py_vcruntime_redist: NotRequired[str | None]
+
+
+class EnvironmentInfo:
+    """
+    Return environment variables for specified Microsoft Visual C++ version
+    and platform : Lib, Include, Path and libpath.
+
+    This function is compatible with Microsoft Visual C++ 9.0 to 14.X.
+
+    Script created by analysing Microsoft environment configuration files like
+    "vcvars[...].bat", "SetEnv.Cmd", "vcbuildtools.bat", ...
+
+    Parameters
+    ----------
+    arch: str
+        Target architecture.
+    vc_ver: float
+        Required Microsoft Visual C++ version. If not set, autodetect the last
+        version.
+    vc_min_ver: float
+        Minimum Microsoft Visual C++ version.
+    """
+
+    # Variables and properties in this class use originals CamelCase variables
+    # names from Microsoft source files for more easy comparison.
+
+    def __init__(self, arch, vc_ver=None, vc_min_ver=0) -> None:
+        self.pi = PlatformInfo(arch)
+        self.ri = RegistryInfo(self.pi)
+        self.si = SystemInfo(self.ri, vc_ver)
+
+        if self.vc_ver < vc_min_ver:
+            err = 'No suitable Microsoft Visual C++ version found'
+            raise distutils.errors.DistutilsPlatformError(err)
+
+    @property
+    def vs_ver(self):
+        """
+        Microsoft Visual Studio.
+
+        Return
+        ------
+        float
+            version
+        """
+        return self.si.vs_ver
+
+    @property
+    def vc_ver(self):
+        """
+        Microsoft Visual C++ version.
+
+        Return
+        ------
+        float
+            version
+        """
+        return self.si.vc_ver
+
+    @property
+    def VSTools(self):
+        """
+        Microsoft Visual Studio Tools.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        paths = [r'Common7\IDE', r'Common7\Tools']
+
+        if self.vs_ver >= 14.0:
+            arch_subdir = self.pi.current_dir(hidex86=True, x64=True)
+            paths += [r'Common7\IDE\CommonExtensions\Microsoft\TestWindow']
+            paths += [r'Team Tools\Performance Tools']
+            paths += [rf'Team Tools\Performance Tools{arch_subdir}']
+
+        return [os.path.join(self.si.VSInstallDir, path) for path in paths]
+
+    @property
+    def VCIncludes(self):
+        """
+        Microsoft Visual C++ & Microsoft Foundation Class Includes.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        return [
+            os.path.join(self.si.VCInstallDir, 'Include'),
+            os.path.join(self.si.VCInstallDir, r'ATLMFC\Include'),
+        ]
+
+    @property
+    def VCLibraries(self):
+        """
+        Microsoft Visual C++ & Microsoft Foundation Class Libraries.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        if self.vs_ver >= 15.0:
+            arch_subdir = self.pi.target_dir(x64=True)
+        else:
+            arch_subdir = self.pi.target_dir(hidex86=True)
+        paths = [f'Lib{arch_subdir}', rf'ATLMFC\Lib{arch_subdir}']
+
+        if self.vs_ver >= 14.0:
+            paths += [rf'Lib\store{arch_subdir}']
+
+        return [os.path.join(self.si.VCInstallDir, path) for path in paths]
+
+    @property
+    def VCStoreRefs(self):
+        """
+        Microsoft Visual C++ store references Libraries.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        if self.vs_ver < 14.0:
+            return []
+        return [os.path.join(self.si.VCInstallDir, r'Lib\store\references')]
+
+    @property
+    def VCTools(self):
+        """
+        Microsoft Visual C++ Tools.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        si = self.si
+        tools = [os.path.join(si.VCInstallDir, 'VCPackages')]
+
+        forcex86 = True if self.vs_ver <= 10.0 else False
+        arch_subdir = self.pi.cross_dir(forcex86)
+        if arch_subdir:
+            tools += [os.path.join(si.VCInstallDir, f'Bin{arch_subdir}')]
+
+        if self.vs_ver == 14.0:
+            path = f'Bin{self.pi.current_dir(hidex86=True)}'
+            tools += [os.path.join(si.VCInstallDir, path)]
+
+        elif self.vs_ver >= 15.0:
+            host_dir = (
+                r'bin\HostX86%s' if self.pi.current_is_x86() else r'bin\HostX64%s'
+            )
+            tools += [
+                os.path.join(si.VCInstallDir, host_dir % self.pi.target_dir(x64=True))
+            ]
+
+            if self.pi.current_cpu != self.pi.target_cpu:
+                tools += [
+                    os.path.join(
+                        si.VCInstallDir, host_dir % self.pi.current_dir(x64=True)
+                    )
+                ]
+
+        else:
+            tools += [os.path.join(si.VCInstallDir, 'Bin')]
+
+        return tools
+
+    @property
+    def OSLibraries(self):
+        """
+        Microsoft Windows SDK Libraries.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        if self.vs_ver <= 10.0:
+            arch_subdir = self.pi.target_dir(hidex86=True, x64=True)
+            return [os.path.join(self.si.WindowsSdkDir, f'Lib{arch_subdir}')]
+
+        else:
+            arch_subdir = self.pi.target_dir(x64=True)
+            lib = os.path.join(self.si.WindowsSdkDir, 'lib')
+            libver = self._sdk_subdir
+            return [os.path.join(lib, f'{libver}um{arch_subdir}')]
+
+    @property
+    def OSIncludes(self):
+        """
+        Microsoft Windows SDK Include.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        include = os.path.join(self.si.WindowsSdkDir, 'include')
+
+        if self.vs_ver <= 10.0:
+            return [include, os.path.join(include, 'gl')]
+
+        else:
+            if self.vs_ver >= 14.0:
+                sdkver = self._sdk_subdir
+            else:
+                sdkver = ''
+            return [
+                os.path.join(include, f'{sdkver}shared'),
+                os.path.join(include, f'{sdkver}um'),
+                os.path.join(include, f'{sdkver}winrt'),
+            ]
+
+    @property
+    def OSLibpath(self):
+        """
+        Microsoft Windows SDK Libraries Paths.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        ref = os.path.join(self.si.WindowsSdkDir, 'References')
+        libpath = []
+
+        if self.vs_ver <= 9.0:
+            libpath += self.OSLibraries
+
+        if self.vs_ver >= 11.0:
+            libpath += [os.path.join(ref, r'CommonConfiguration\Neutral')]
+
+        if self.vs_ver >= 14.0:
+            libpath += [
+                ref,
+                os.path.join(self.si.WindowsSdkDir, 'UnionMetadata'),
+                os.path.join(ref, 'Windows.Foundation.UniversalApiContract', '1.0.0.0'),
+                os.path.join(ref, 'Windows.Foundation.FoundationContract', '1.0.0.0'),
+                os.path.join(
+                    ref, 'Windows.Networking.Connectivity.WwanContract', '1.0.0.0'
+                ),
+                os.path.join(
+                    self.si.WindowsSdkDir,
+                    'ExtensionSDKs',
+                    'Microsoft.VCLibs',
+                    f'{self.vs_ver:0.1f}',
+                    'References',
+                    'CommonConfiguration',
+                    'neutral',
+                ),
+            ]
+        return libpath
+
+    @property
+    def SdkTools(self):
+        """
+        Microsoft Windows SDK Tools.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        return list(self._sdk_tools())
+
+    def _sdk_tools(self):
+        """
+        Microsoft Windows SDK Tools paths generator.
+
+        Return
+        ------
+        generator of str
+            paths
+        """
+        if self.vs_ver < 15.0:
+            bin_dir = 'Bin' if self.vs_ver <= 11.0 else r'Bin\x86'
+            yield os.path.join(self.si.WindowsSdkDir, bin_dir)
+
+        if not self.pi.current_is_x86():
+            arch_subdir = self.pi.current_dir(x64=True)
+            path = f'Bin{arch_subdir}'
+            yield os.path.join(self.si.WindowsSdkDir, path)
+
+        if self.vs_ver in (10.0, 11.0):
+            if self.pi.target_is_x86():
+                arch_subdir = ''
+            else:
+                arch_subdir = self.pi.current_dir(hidex86=True, x64=True)
+            path = rf'Bin\NETFX 4.0 Tools{arch_subdir}'
+            yield os.path.join(self.si.WindowsSdkDir, path)
+
+        elif self.vs_ver >= 15.0:
+            path = os.path.join(self.si.WindowsSdkDir, 'Bin')
+            arch_subdir = self.pi.current_dir(x64=True)
+            sdkver = self.si.WindowsSdkLastVersion
+            yield os.path.join(path, f'{sdkver}{arch_subdir}')
+
+        if self.si.WindowsSDKExecutablePath:
+            yield self.si.WindowsSDKExecutablePath
+
+    @property
+    def _sdk_subdir(self):
+        """
+        Microsoft Windows SDK version subdir.
+
+        Return
+        ------
+        str
+            subdir
+        """
+        ucrtver = self.si.WindowsSdkLastVersion
+        return (f'{ucrtver}\\') if ucrtver else ''
+
+    @property
+    def SdkSetup(self):
+        """
+        Microsoft Windows SDK Setup.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        if self.vs_ver > 9.0:
+            return []
+
+        return [os.path.join(self.si.WindowsSdkDir, 'Setup')]
+
+    @property
+    def FxTools(self):
+        """
+        Microsoft .NET Framework Tools.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        pi = self.pi
+        si = self.si
+
+        if self.vs_ver <= 10.0:
+            include32 = True
+            include64 = not pi.target_is_x86() and not pi.current_is_x86()
+        else:
+            include32 = pi.target_is_x86() or pi.current_is_x86()
+            include64 = pi.current_cpu == 'amd64' or pi.target_cpu == 'amd64'
+
+        tools = []
+        if include32:
+            tools += [
+                os.path.join(si.FrameworkDir32, ver) for ver in si.FrameworkVersion32
+            ]
+        if include64:
+            tools += [
+                os.path.join(si.FrameworkDir64, ver) for ver in si.FrameworkVersion64
+            ]
+        return tools
+
+    @property
+    def NetFxSDKLibraries(self):
+        """
+        Microsoft .Net Framework SDK Libraries.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        if self.vs_ver < 14.0 or not self.si.NetFxSdkDir:
+            return []
+
+        arch_subdir = self.pi.target_dir(x64=True)
+        return [os.path.join(self.si.NetFxSdkDir, rf'lib\um{arch_subdir}')]
+
+    @property
+    def NetFxSDKIncludes(self):
+        """
+        Microsoft .Net Framework SDK Includes.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        if self.vs_ver < 14.0 or not self.si.NetFxSdkDir:
+            return []
+
+        return [os.path.join(self.si.NetFxSdkDir, r'include\um')]
+
+    @property
+    def VsTDb(self):
+        """
+        Microsoft Visual Studio Team System Database.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        return [os.path.join(self.si.VSInstallDir, r'VSTSDB\Deploy')]
+
+    @property
+    def MSBuild(self):
+        """
+        Microsoft Build Engine.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        if self.vs_ver < 12.0:
+            return []
+        elif self.vs_ver < 15.0:
+            base_path = self.si.ProgramFilesx86
+            arch_subdir = self.pi.current_dir(hidex86=True)
+        else:
+            base_path = self.si.VSInstallDir
+            arch_subdir = ''
+
+        path = rf'MSBuild\{self.vs_ver:0.1f}\bin{arch_subdir}'
+        build = [os.path.join(base_path, path)]
+
+        if self.vs_ver >= 15.0:
+            # Add Roslyn C# & Visual Basic Compiler
+            build += [os.path.join(base_path, path, 'Roslyn')]
+
+        return build
+
+    @property
+    def HTMLHelpWorkshop(self):
+        """
+        Microsoft HTML Help Workshop.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        if self.vs_ver < 11.0:
+            return []
+
+        return [os.path.join(self.si.ProgramFilesx86, 'HTML Help Workshop')]
+
+    @property
+    def UCRTLibraries(self):
+        """
+        Microsoft Universal C Runtime SDK Libraries.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        if self.vs_ver < 14.0:
+            return []
+
+        arch_subdir = self.pi.target_dir(x64=True)
+        lib = os.path.join(self.si.UniversalCRTSdkDir, 'lib')
+        ucrtver = self._ucrt_subdir
+        return [os.path.join(lib, f'{ucrtver}ucrt{arch_subdir}')]
+
+    @property
+    def UCRTIncludes(self):
+        """
+        Microsoft Universal C Runtime SDK Include.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        if self.vs_ver < 14.0:
+            return []
+
+        include = os.path.join(self.si.UniversalCRTSdkDir, 'include')
+        return [os.path.join(include, f'{self._ucrt_subdir}ucrt')]
+
+    @property
+    def _ucrt_subdir(self):
+        """
+        Microsoft Universal C Runtime SDK version subdir.
+
+        Return
+        ------
+        str
+            subdir
+        """
+        ucrtver = self.si.UniversalCRTSdkLastVersion
+        return (f'{ucrtver}\\') if ucrtver else ''
+
+    @property
+    def FSharp(self):
+        """
+        Microsoft Visual F#.
+
+        Return
+        ------
+        list of str
+            paths
+        """
+        if 11.0 > self.vs_ver > 12.0:
+            return []
+
+        return [self.si.FSharpInstallDir]
+
+    @property
+    def VCRuntimeRedist(self) -> str | None:
+        """
+        Microsoft Visual C++ runtime redistributable dll.
+
+        Returns the first suitable path found or None.
+        """
+        vcruntime = f'vcruntime{self.vc_ver}0.dll'
+        arch_subdir = self.pi.target_dir(x64=True).strip('\\')
+
+        # Installation prefixes candidates
+        prefixes = []
+        tools_path = self.si.VCInstallDir
+        redist_path = os.path.dirname(tools_path.replace(r'\Tools', r'\Redist'))
+        if os.path.isdir(redist_path):
+            # Redist version may not be exactly the same as tools
+            redist_path = os.path.join(redist_path, os.listdir(redist_path)[-1])
+            prefixes += [redist_path, os.path.join(redist_path, 'onecore')]
+
+        prefixes += [os.path.join(tools_path, 'redist')]  # VS14 legacy path
+
+        # CRT directory
+        crt_dirs = (
+            f'Microsoft.VC{self.vc_ver * 10}.CRT',
+            # Sometime store in directory with VS version instead of VC
+            f'Microsoft.VC{int(self.vs_ver) * 10}.CRT',
+        )
+
+        # vcruntime path
+        candidate_paths = (
+            os.path.join(prefix, arch_subdir, crt_dir, vcruntime)
+            for (prefix, crt_dir) in itertools.product(prefixes, crt_dirs)
+        )
+        return next(filter(os.path.isfile, candidate_paths), None)  # type: ignore[arg-type] #python/mypy#12682
+
+    def return_env(self, exists: bool = True) -> _EnvironmentDict:
+        """
+        Return environment dict.
+
+        Parameters
+        ----------
+        exists: bool
+            It True, only return existing paths.
+
+        Return
+        ------
+        dict
+            environment
+        """
+        env = _EnvironmentDict(
+            include=self._build_paths(
+                'include',
+                [
+                    self.VCIncludes,
+                    self.OSIncludes,
+                    self.UCRTIncludes,
+                    self.NetFxSDKIncludes,
+                ],
+                exists,
+            ),
+            lib=self._build_paths(
+                'lib',
+                [
+                    self.VCLibraries,
+                    self.OSLibraries,
+                    self.FxTools,
+                    self.UCRTLibraries,
+                    self.NetFxSDKLibraries,
+                ],
+                exists,
+            ),
+            libpath=self._build_paths(
+                'libpath',
+                [self.VCLibraries, self.FxTools, self.VCStoreRefs, self.OSLibpath],
+                exists,
+            ),
+            path=self._build_paths(
+                'path',
+                [
+                    self.VCTools,
+                    self.VSTools,
+                    self.VsTDb,
+                    self.SdkTools,
+                    self.SdkSetup,
+                    self.FxTools,
+                    self.MSBuild,
+                    self.HTMLHelpWorkshop,
+                    self.FSharp,
+                ],
+                exists,
+            ),
+        )
+        if self.vs_ver >= 14 and self.VCRuntimeRedist:
+            env['py_vcruntime_redist'] = self.VCRuntimeRedist
+        return env
+
+    def _build_paths(self, name, spec_path_lists, exists):
+        """
+        Given an environment variable name and specified paths,
+        return a pathsep-separated string of paths containing
+        unique, extant, directories from those paths and from
+        the environment variable. Raise an error if no paths
+        are resolved.
+
+        Parameters
+        ----------
+        name: str
+            Environment variable name
+        spec_path_lists: list of str
+            Paths
+        exists: bool
+            It True, only return existing paths.
+
+        Return
+        ------
+        str
+            Pathsep-separated paths
+        """
+        # flatten spec_path_lists
+        spec_paths = itertools.chain.from_iterable(spec_path_lists)
+        env_paths = environ.get(name, '').split(os.pathsep)
+        paths = itertools.chain(spec_paths, env_paths)
+        extant_paths = list(filter(os.path.isdir, paths)) if exists else paths
+        if not extant_paths:
+            msg = f"{name.upper()} environment variable is empty"
+            raise distutils.errors.DistutilsPlatformError(msg)
+        unique_paths = unique_everseen(extant_paths)
+        return os.pathsep.join(unique_paths)

videollama2/lib/python3.10/site-packages/setuptools/namespaces.py

@@ -0,0 +1,106 @@
+import itertools
+import os
+
+from .compat import py312
+
+from distutils import log
+
+flatten = itertools.chain.from_iterable
+
+
+class Installer:
+    nspkg_ext = '-nspkg.pth'
+
+    def install_namespaces(self) -> None:
+        nsp = self._get_all_ns_packages()
+        if not nsp:
+            return
+        filename = self._get_nspkg_file()
+        self.outputs.append(filename)
+        log.info("Installing %s", filename)
+        lines = map(self._gen_nspkg_line, nsp)
+
+        if self.dry_run:
+            # always generate the lines, even in dry run
+            list(lines)
+            return
+
+        with open(filename, 'wt', encoding=py312.PTH_ENCODING) as f:
+            # Python<3.13 requires encoding="locale" instead of "utf-8"
+            # See: python/cpython#77102
+            f.writelines(lines)
+
+    def uninstall_namespaces(self) -> None:
+        filename = self._get_nspkg_file()
+        if not os.path.exists(filename):
+            return
+        log.info("Removing %s", filename)
+        os.remove(filename)
+
+    def _get_nspkg_file(self):
+        filename, _ = os.path.splitext(self._get_target())
+        return filename + self.nspkg_ext
+
+    def _get_target(self):
+        return self.target
+
+    _nspkg_tmpl = (
+        "import sys, types, os",
+        "p = os.path.join(%(root)s, *%(pth)r)",
+        "importlib = __import__('importlib.util')",
+        "__import__('importlib.machinery')",
+        (
+            "m = "
+            "sys.modules.setdefault(%(pkg)r, "
+            "importlib.util.module_from_spec("
+            "importlib.machinery.PathFinder.find_spec(%(pkg)r, "
+            "[os.path.dirname(p)])))"
+        ),
+        ("m = m or sys.modules.setdefault(%(pkg)r, types.ModuleType(%(pkg)r))"),
+        "mp = (m or []) and m.__dict__.setdefault('__path__',[])",
+        "(p not in mp) and mp.append(p)",
+    )
+    "lines for the namespace installer"
+
+    _nspkg_tmpl_multi = ('m and setattr(sys.modules[%(parent)r], %(child)r, m)',)
+    "additional line(s) when a parent package is indicated"
+
+    def _get_root(self):
+        return "sys._getframe(1).f_locals['sitedir']"
+
+    def _gen_nspkg_line(self, pkg):
+        pth = tuple(pkg.split('.'))
+        root = self._get_root()
+        tmpl_lines = self._nspkg_tmpl
+        parent, sep, child = pkg.rpartition('.')
+        if parent:
+            tmpl_lines += self._nspkg_tmpl_multi
+        return ';'.join(tmpl_lines) % locals() + '\n'
+
+    def _get_all_ns_packages(self):
+        """Return sorted list of all package namespaces"""
+        pkgs = self.distribution.namespace_packages or []
+        return sorted(set(flatten(map(self._pkg_names, pkgs))))
+
+    @staticmethod
+    def _pkg_names(pkg):
+        """
+        Given a namespace package, yield the components of that
+        package.
+
+        >>> names = Installer._pkg_names('a.b.c')
+        >>> set(names) == set(['a', 'a.b', 'a.b.c'])
+        True
+        """
+        parts = pkg.split('.')
+        while parts:
+            yield '.'.join(parts)
+            parts.pop()
+
+
+class DevelopInstaller(Installer):
+    def _get_root(self):
+        return repr(str(self.egg_path))
+
+    def _get_target(self):
+        return self.egg_link

videollama2/lib/python3.10/site-packages/setuptools/script (dev).tmpl

@@ -0,0 +1,6 @@
+# EASY-INSTALL-DEV-SCRIPT: %(spec)r,%(script_name)r
+__requires__ = %(spec)r
+__import__('pkg_resources').require(%(spec)r)
+__file__ = %(dev_path)r
+with open(__file__) as f:
+    exec(compile(f.read(), __file__, 'exec'))

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_cast_Float_ops.h

@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _cast_Float {
+  using schema = at::Tensor (const at::Tensor &, bool);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_cast_Float")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_cast_Float(Tensor self, bool non_blocking=False) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, bool non_blocking);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking);
+};
+
+}} // namespace at::_ops

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_conj_copy_compositeexplicitautograd_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API at::Tensor & _conj_copy_out(at::Tensor & out, const at::Tensor & self);
+TORCH_API at::Tensor & _conj_copy_outf(const at::Tensor & self, at::Tensor & out);
+
+} // namespace compositeexplicitautograd
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_native.h

@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor & _cudnn_rnn_flatten_weight_out_symint(at::TensorList weight_arr, int64_t weight_stride0, c10::SymInt input_size, int64_t mode, c10::SymInt hidden_size, c10::SymInt proj_size, int64_t num_layers, bool batch_first, bool bidirectional, at::Tensor & out);
+TORCH_API at::Tensor _cudnn_rnn_flatten_weight(at::TensorList weight_arr, int64_t weight_stride0, int64_t input_size, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, bool bidirectional);
+} // namespace native
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_embedding_bag_native.h

@@ -0,0 +1,23 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _embedding_bag_out(const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq, int64_t mode, bool sparse, const ::std::optional<at::Tensor> & per_sample_weights, bool include_last_offset, int64_t padding_idx, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3);
+TORCH_API ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _embedding_bag_cpu(const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq=false, int64_t mode=0, bool sparse=false, const ::std::optional<at::Tensor> & per_sample_weights={}, bool include_last_offset=false, int64_t padding_idx=-1);
+TORCH_API ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _embedding_bag_cuda(const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq=false, int64_t mode=0, bool sparse=false, const ::std::optional<at::Tensor> & per_sample_weights={}, bool include_last_offset=false, int64_t padding_idx=-1);
+} // namespace native
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_copy_native.h

@@ -0,0 +1,24 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API ::std::vector<at::Tensor> _foreach_copy(at::TensorList self, at::TensorList src, bool non_blocking=false);
+TORCH_API void _foreach_copy_out(at::TensorList self, at::TensorList src, bool non_blocking, at::TensorList out);
+TORCH_API void foreach_tensor_copy_list_kernel_slow_(at::TensorList self, at::TensorList src, bool non_blocking=false);
+TORCH_API void foreach_tensor_copy_list_kernel_cuda_(at::TensorList self, at::TensorList src, bool non_blocking=false);
+} // namespace native
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_cosh_ops.h

@@ -0,0 +1,50 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _foreach_cosh {
+  using schema = ::std::vector<at::Tensor> (at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_cosh")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_cosh(Tensor[] self) -> Tensor[]")
+  static ::std::vector<at::Tensor> call(at::TensorList self);
+  static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self);
+};
+
+struct TORCH_API _foreach_cosh_ {
+  using schema = void (at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_cosh_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_cosh_(Tensor(a!)[] self) -> ()")
+  static void call(at::TensorList self);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self);
+};
+
+struct TORCH_API _foreach_cosh_out {
+  using schema = void (at::TensorList, at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_cosh")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_cosh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()")
+  static void call(at::TensorList self, at::TensorList out);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out);
+};
+
+}} // namespace at::_ops

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_reciprocal_native.h

@@ -0,0 +1,25 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_reciprocal_slow(at::TensorList self);
+TORCH_API void _foreach_reciprocal_out(at::TensorList self, at::TensorList out);
+TORCH_API void foreach_tensor_reciprocal_slow_(at::TensorList self);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_reciprocal_cuda(at::TensorList self);
+TORCH_API void foreach_tensor_reciprocal_cuda_(at::TensorList self);
+} // namespace native
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_sigmoid_compositeexplicitautograd_dispatch.h

@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API ::std::vector<at::Tensor> _foreach_sigmoid(at::TensorList self);
+TORCH_API void _foreach_sigmoid_out(at::TensorList out, at::TensorList self);
+TORCH_API void _foreach_sigmoid_outf(at::TensorList self, at::TensorList out);
+TORCH_API void _foreach_sigmoid_(at::TensorList self);
+
+} // namespace compositeexplicitautograd
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_index_put_impl.h

@@ -0,0 +1,44 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+
+
+
+#include <ATen/ops/_index_put_impl_ops.h>
+
+namespace at {
+
+
+// aten::_index_put_impl_(Tensor(a!) self, Tensor?[] indices, Tensor values, bool accumulate=False, bool unsafe=False) -> Tensor(a!)
+inline at::Tensor & _index_put_impl_(at::Tensor & self, const c10::List<::std::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false, bool unsafe=false) {
+    return at::_ops::_index_put_impl_::call(self, indices, values, accumulate, unsafe);
+}
+
+// aten::_index_put_impl.out(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False, bool unsafe=False, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & _index_put_impl_out(at::Tensor & out, const at::Tensor & self, const c10::List<::std::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false, bool unsafe=false) {
+    return at::_ops::_index_put_impl_out::call(self, indices, values, accumulate, unsafe, out);
+}
+// aten::_index_put_impl.out(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False, bool unsafe=False, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & _index_put_impl_outf(const at::Tensor & self, const c10::List<::std::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate, bool unsafe, at::Tensor & out) {
+    return at::_ops::_index_put_impl_out::call(self, indices, values, accumulate, unsafe, out);
+}
+
+// aten::_index_put_impl(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False, bool unsafe=False) -> Tensor
+inline at::Tensor _index_put_impl(const at::Tensor & self, const c10::List<::std::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false, bool unsafe=false) {
+    return at::_ops::_index_put_impl::call(self, indices, values, accumulate, unsafe);
+}
+
+}

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_nested_get_offsets.h

@@ -0,0 +1,30 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+
+
+
+#include <ATen/ops/_nested_get_offsets_ops.h>
+
+namespace at {
+
+
+// aten::_nested_get_offsets(Tensor self) -> Tensor
+inline at::Tensor _nested_get_offsets(const at::Tensor & self) {
+    return at::_ops::_nested_get_offsets::call(self);
+}
+
+}

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_pad_enum_compositeimplicitautograd_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor _pad_enum(const at::Tensor & self, at::IntArrayRef pad, int64_t mode, ::std::optional<double> value=::std::nullopt);
+TORCH_API at::Tensor _pad_enum_symint(const at::Tensor & self, c10::SymIntArrayRef pad, int64_t mode, ::std::optional<double> value=::std::nullopt);
+
+} // namespace compositeimplicitautograd
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_pdist_forward_ops.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _pdist_forward {
+  using schema = at::Tensor (const at::Tensor &, double);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_pdist_forward")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_pdist_forward(Tensor self, float p=2) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, double p);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p);
+};
+
+struct TORCH_API _pdist_forward_out {
+  using schema = at::Tensor & (const at::Tensor &, double, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_pdist_forward")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_pdist_forward.out(Tensor self, float p=2, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, double p, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p, at::Tensor & out);
+};
+
+}} // namespace at::_ops

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_csr_tensor_unsafe_ops.h

@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _sparse_csr_tensor_unsafe {
+  using schema = at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_sparse_csr_tensor_unsafe")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor")
+  static at::Tensor call(const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, ::std::optional<at::ScalarType> dtype, ::std::optional<at::Layout> layout, ::std::optional<at::Device> device, ::std::optional<bool> pin_memory);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, ::std::optional<at::ScalarType> dtype, ::std::optional<at::Layout> layout, ::std::optional<at::Device> device, ::std::optional<bool> pin_memory);
+};
+
+}} // namespace at::_ops

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_sum_compositeimplicitautograd_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor _sparse_sum(const at::Tensor & self);
+TORCH_API at::Tensor _sparse_sum(const at::Tensor & self, at::ScalarType dtype);
+TORCH_API at::Tensor _sparse_sum(const at::Tensor & self, at::IntArrayRef dim, at::ScalarType dtype);
+
+} // namespace compositeimplicitautograd
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_stack_ops.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _stack {
+  using schema = at::Tensor (at::TensorList, int64_t);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_stack")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_stack(Tensor[] tensors, int dim=0) -> Tensor")
+  static at::Tensor call(at::TensorList tensors, int64_t dim);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim);
+};
+
+struct TORCH_API _stack_out {
+  using schema = at::Tensor & (at::TensorList, int64_t, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_stack")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_stack.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(at::TensorList tensors, int64_t dim, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim, at::Tensor & out);
+};
+
+}} // namespace at::_ops

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_transformer_encoder_layer_fwd_cpu_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor _transformer_encoder_layer_fwd(const at::Tensor & src, int64_t embed_dim, int64_t num_heads, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, bool use_gelu, bool norm_first, double eps, const at::Tensor & norm_weight_1, const at::Tensor & norm_bias_1, const at::Tensor & norm_weight_2, const at::Tensor & norm_bias_2, const at::Tensor & ffn_weight_1, const at::Tensor & ffn_bias_1, const at::Tensor & ffn_weight_2, const at::Tensor & ffn_bias_2, const ::std::optional<at::Tensor> & mask={}, ::std::optional<int64_t> mask_type=::std::nullopt);
+
+} // namespace cpu
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_unique_cpu_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API ::std::tuple<at::Tensor,at::Tensor> _unique(const at::Tensor & self, bool sorted=true, bool return_inverse=false);
+
+} // namespace cpu
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_native.h

@@ -0,0 +1,26 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+#include <ATen/ops/_upsample_bilinear2d_aa_backward_meta.h>
+
+namespace at {
+namespace native {
+struct TORCH_API structured__upsample_bilinear2d_aa_backward_out_cpu : public at::meta::structured__upsample_bilinear2d_aa_backward {
+void impl(const at::Tensor & grad_output, at::ArrayRef<int64_t> output_size, at::ArrayRef<int64_t> input_size, bool align_corners, ::std::optional<double> scales_h, ::std::optional<double> scales_w, const at::Tensor & grad_input);
+};
+struct TORCH_API structured__upsample_bilinear2d_aa_backward_out_cuda : public at::meta::structured__upsample_bilinear2d_aa_backward {
+void impl(const at::Tensor & grad_output, at::ArrayRef<int64_t> output_size, at::ArrayRef<int64_t> input_size, bool align_corners, ::std::optional<double> scales_h, ::std::optional<double> scales_w, const at::Tensor & grad_input);
+};
+} // namespace native
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_upsample_nearest_exact3d_meta.h

@@ -0,0 +1,27 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeMetaFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/TensorIterator.h>
+#include <ATen/TensorMeta.h>
+#include <tuple>
+#include <vector>
+
+namespace at {
+namespace meta {
+
+struct TORCH_API structured__upsample_nearest_exact3d : public at::impl::MetaBase {
+    
+    
+    void meta(const at::Tensor & self, at::ArrayRef<int64_t> output_size, ::std::optional<double> scales_d, ::std::optional<double> scales_h, ::std::optional<double> scales_w);
+};
+
+} // namespace native
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args.h

@@ -0,0 +1,30 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+
+
+
+#include <ATen/ops/_validate_sparse_bsr_tensor_args_ops.h>
+
+namespace at {
+
+
+// aten::_validate_sparse_bsr_tensor_args(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size) -> ()
+inline void _validate_sparse_bsr_tensor_args(const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size) {
+    return at::_ops::_validate_sparse_bsr_tensor_args::call(crow_indices, col_indices, values, size);
+}
+
+}

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/acos_compositeexplicitautogradnonfunctional_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautogradnonfunctional {
+
+TORCH_API at::Tensor acos(const at::Tensor & self);
+TORCH_API at::Tensor & acos_(at::Tensor & self);
+
+} // namespace compositeexplicitautogradnonfunctional
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/add_meta_dispatch.h

@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor add(const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1);
+TORCH_API at::Tensor & add_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1);
+TORCH_API at::Tensor & add_outf(const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out);
+TORCH_API at::Tensor & add_(at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1);
+
+} // namespace meta
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/all_meta.h

@@ -0,0 +1,37 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeMetaFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/TensorIterator.h>
+#include <ATen/TensorMeta.h>
+#include <tuple>
+#include <vector>
+
+namespace at {
+namespace meta {
+
+struct TORCH_API structured_all_dim : public at::impl::MetaBase {
+    
+    
+    void meta(const at::Tensor & self, int64_t dim, bool keepdim);
+};
+struct TORCH_API structured_all_dims : public at::impl::MetaBase {
+    
+    
+    void meta(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim);
+};
+struct TORCH_API structured_all : public at::impl::MetaBase {
+    
+    
+    void meta(const at::Tensor & self);
+};
+
+} // namespace native
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/atan_cpu_dispatch.h

@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor atan(const at::Tensor & self);
+TORCH_API at::Tensor & atan_out(at::Tensor & out, const at::Tensor & self);
+TORCH_API at::Tensor & atan_outf(const at::Tensor & self, at::Tensor & out);
+TORCH_API at::Tensor & atan_(at::Tensor & self);
+
+} // namespace cpu
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/binary_cross_entropy_backward_cuda_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API at::Tensor binary_cross_entropy_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const ::std::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean);
+TORCH_API at::Tensor & binary_cross_entropy_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const ::std::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean);
+TORCH_API at::Tensor & binary_cross_entropy_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const ::std::optional<at::Tensor> & weight, int64_t reduction, at::Tensor & grad_input);
+
+} // namespace cuda
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/cartesian_prod_native.h

@@ -0,0 +1,21 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor cartesian_prod(at::TensorList tensors);
+} // namespace native
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/celu_ops.h

@@ -0,0 +1,50 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API celu {
+  using schema = at::Tensor (const at::Tensor &, const at::Scalar &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::celu")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "celu(Tensor self, Scalar alpha=1.0) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, const at::Scalar & alpha);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & alpha);
+};
+
+struct TORCH_API celu_ {
+  using schema = at::Tensor & (at::Tensor &, const at::Scalar &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::celu_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "celu_(Tensor(a!) self, Scalar alpha=1.0) -> Tensor(a!)")
+  static at::Tensor & call(at::Tensor & self, const at::Scalar & alpha);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & alpha);
+};
+
+struct TORCH_API celu_out {
+  using schema = at::Tensor & (const at::Tensor &, const at::Scalar &, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::celu")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "celu.out(Tensor self, Scalar alpha=1.0, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, const at::Scalar & alpha, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & alpha, at::Tensor & out);
+};
+
+}} // namespace at::_ops

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/chunk_ops.h

@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API chunk {
+  using schema = ::std::vector<at::Tensor> (const at::Tensor &, int64_t, int64_t);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::chunk")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "chunk(Tensor(a -> *) self, int chunks, int dim=0) -> Tensor(a)[]")
+  static ::std::vector<at::Tensor> call(const at::Tensor & self, int64_t chunks, int64_t dim);
+  static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t chunks, int64_t dim);
+};
+
+}} // namespace at::_ops

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/diagflat_native.h

@@ -0,0 +1,21 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor diagflat(const at::Tensor & self, int64_t offset=0);
+} // namespace native
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/digamma_compositeexplicitautogradnonfunctional_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautogradnonfunctional {
+
+TORCH_API at::Tensor digamma(const at::Tensor & self);
+TORCH_API at::Tensor & digamma_(at::Tensor & self);
+
+} // namespace compositeexplicitautogradnonfunctional
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/dot_native.h

@@ -0,0 +1,23 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor & dot_out(const at::Tensor & self, const at::Tensor & tensor, at::Tensor & out);
+TORCH_API at::Tensor dot(const at::Tensor & self, const at::Tensor & tensor);
+TORCH_API at::Tensor dot_cuda(const at::Tensor & self, const at::Tensor & tensor);
+} // namespace native
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+
+
+
+#include <ATen/ops/fake_quantize_per_tensor_affine_cachemask_ops.h>
+
+namespace at {
+
+
+// aten::fake_quantize_per_tensor_affine_cachemask(Tensor self, float scale, int zero_point, int quant_min, int quant_max) -> (Tensor output, Tensor mask)
+inline ::std::tuple<at::Tensor,at::Tensor> fake_quantize_per_tensor_affine_cachemask(const at::Tensor & self, double scale, int64_t zero_point, int64_t quant_min, int64_t quant_max) {
+    return at::_ops::fake_quantize_per_tensor_affine_cachemask::call(self, scale, zero_point, quant_min, quant_max);
+}
+
+// aten::fake_quantize_per_tensor_affine_cachemask.out(Tensor self, float scale, int zero_point, int quant_min, int quant_max, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+inline ::std::tuple<at::Tensor &,at::Tensor &> fake_quantize_per_tensor_affine_cachemask_out(at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, double scale, int64_t zero_point, int64_t quant_min, int64_t quant_max) {
+    return at::_ops::fake_quantize_per_tensor_affine_cachemask_out::call(self, scale, zero_point, quant_min, quant_max, out0, out1);
+}
+// aten::fake_quantize_per_tensor_affine_cachemask.out(Tensor self, float scale, int zero_point, int quant_min, int quant_max, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+inline ::std::tuple<at::Tensor &,at::Tensor &> fake_quantize_per_tensor_affine_cachemask_outf(const at::Tensor & self, double scale, int64_t zero_point, int64_t quant_min, int64_t quant_max, at::Tensor & out0, at::Tensor & out1) {
+    return at::_ops::fake_quantize_per_tensor_affine_cachemask_out::call(self, scale, zero_point, quant_min, quant_max, out0, out1);
+}
+
+}

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/fbgemm_linear_fp16_weight_native.h

@@ -0,0 +1,21 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor fbgemm_linear_fp16_weight(const at::Tensor & input, const at::Tensor & packed_weight, const at::Tensor & bias);
+} // namespace native
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/feature_alpha_dropout.h

@@ -0,0 +1,35 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+
+
+
+#include <ATen/ops/feature_alpha_dropout_ops.h>
+
+namespace at {
+
+
+// aten::feature_alpha_dropout(Tensor input, float p, bool train) -> Tensor
+inline at::Tensor feature_alpha_dropout(const at::Tensor & input, double p, bool train) {
+    return at::_ops::feature_alpha_dropout::call(input, p, train);
+}
+
+// aten::feature_alpha_dropout_(Tensor(a!) self, float p, bool train) -> Tensor(a!)
+inline at::Tensor & feature_alpha_dropout_(at::Tensor & self, double p, bool train) {
+    return at::_ops::feature_alpha_dropout_::call(self, p, train);
+}
+
+}

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/fft_fft_ops.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API fft_fft {
+  using schema = at::Tensor (const at::Tensor &, ::std::optional<c10::SymInt>, int64_t, ::std::optional<c10::string_view>);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::fft_fft")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "fft_fft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, ::std::optional<c10::SymInt> n, int64_t dim, ::std::optional<c10::string_view> norm);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, ::std::optional<c10::SymInt> n, int64_t dim, ::std::optional<c10::string_view> norm);
+};
+
+struct TORCH_API fft_fft_out {
+  using schema = at::Tensor & (const at::Tensor &, ::std::optional<c10::SymInt>, int64_t, ::std::optional<c10::string_view>, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::fft_fft")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "fft_fft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, ::std::optional<c10::SymInt> n, int64_t dim, ::std::optional<c10::string_view> norm, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, ::std::optional<c10::SymInt> n, int64_t dim, ::std::optional<c10::string_view> norm, at::Tensor & out);
+};
+
+}} // namespace at::_ops

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/fft_ifft_ops.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API fft_ifft {
+  using schema = at::Tensor (const at::Tensor &, ::std::optional<c10::SymInt>, int64_t, ::std::optional<c10::string_view>);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::fft_ifft")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "fft_ifft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, ::std::optional<c10::SymInt> n, int64_t dim, ::std::optional<c10::string_view> norm);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, ::std::optional<c10::SymInt> n, int64_t dim, ::std::optional<c10::string_view> norm);
+};
+
+struct TORCH_API fft_ifft_out {
+  using schema = at::Tensor & (const at::Tensor &, ::std::optional<c10::SymInt>, int64_t, ::std::optional<c10::string_view>, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::fft_ifft")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "fft_ifft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, ::std::optional<c10::SymInt> n, int64_t dim, ::std::optional<c10::string_view> norm, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, ::std::optional<c10::SymInt> n, int64_t dim, ::std::optional<c10::string_view> norm, at::Tensor & out);
+};
+
+}} // namespace at::_ops

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/gelu_meta_dispatch.h

@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor gelu(const at::Tensor & self, c10::string_view approximate="none");
+TORCH_API at::Tensor & gelu_out(at::Tensor & out, const at::Tensor & self, c10::string_view approximate="none");
+TORCH_API at::Tensor & gelu_outf(const at::Tensor & self, c10::string_view approximate, at::Tensor & out);
+TORCH_API at::Tensor & gelu_(at::Tensor & self, c10::string_view approximate="none");
+
+} // namespace meta
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/glu_cuda_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API at::Tensor glu(const at::Tensor & self, int64_t dim=-1);
+TORCH_API at::Tensor & glu_out(at::Tensor & out, const at::Tensor & self, int64_t dim=-1);
+TORCH_API at::Tensor & glu_outf(const at::Tensor & self, int64_t dim, at::Tensor & out);
+
+} // namespace cuda
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/greater_equal_compositeimplicitautograd_dispatch.h

@@ -0,0 +1,30 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor greater_equal(const at::Tensor & self, const at::Scalar & other);
+TORCH_API at::Tensor & greater_equal_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other);
+TORCH_API at::Tensor & greater_equal_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out);
+TORCH_API at::Tensor & greater_equal_(at::Tensor & self, const at::Scalar & other);
+TORCH_API at::Tensor greater_equal(const at::Tensor & self, const at::Tensor & other);
+TORCH_API at::Tensor & greater_equal_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other);
+TORCH_API at::Tensor & greater_equal_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out);
+TORCH_API at::Tensor & greater_equal_(at::Tensor & self, const at::Tensor & other);
+
+} // namespace compositeimplicitautograd
+} // namespace at

vllm/lib/python3.10/site-packages/torch/include/ATen/ops/grid_sampler_2d_ops.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API grid_sampler_2d {
+  using schema = at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, int64_t, bool);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::grid_sampler_2d")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "grid_sampler_2d(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> Tensor")
+  static at::Tensor call(const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners);
+};
+
+struct TORCH_API grid_sampler_2d_out {
+  using schema = at::Tensor & (const at::Tensor &, const at::Tensor &, int64_t, int64_t, bool, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::grid_sampler_2d")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "grid_sampler_2d.out(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners, at::Tensor & out);
+};
+
+}} // namespace at::_ops