Skip to content

vllm.utils.func

Contains helpers that are applied to functions.

This is similar in concept to the functools module.

F module-attribute

F = TypeVar('F', bound=Callable[..., Any])

P module-attribute

P = ParamSpec('P')

T module-attribute

T = TypeVar('T')

logger module-attribute

logger = init_logger(__name__)

deprecate_args

deprecate_args(
    start_index: int,
    is_deprecated: bool | Callable[[], bool] = True,
    additional_message: str | None = None,
) -> Callable[[F], F]
Source code in vllm/utils/func.py
def deprecate_args(
    start_index: int,
    is_deprecated: bool | Callable[[], bool] = True,
    additional_message: str | None = None,
) -> Callable[[F], F]:
    if not callable(is_deprecated):
        is_deprecated = partial(identity, is_deprecated)

    def wrapper(fn: F) -> F:
        params = inspect.signature(fn).parameters
        pos_types = (
            inspect.Parameter.POSITIONAL_ONLY,
            inspect.Parameter.POSITIONAL_OR_KEYWORD,
        )
        pos_kws = [kw for kw, param in params.items() if param.kind in pos_types]

        @wraps(fn)
        def inner(*args, **kwargs):
            if is_deprecated():
                deprecated_args = pos_kws[start_index : len(args)]
                if deprecated_args:
                    msg = (
                        f"The positional arguments {deprecated_args} are "
                        "deprecated and will be removed in a future update."
                    )
                    if additional_message is not None:
                        msg += f" {additional_message}"

                    warnings.warn(
                        DeprecationWarning(msg),
                        stacklevel=3,  # The inner function takes up one level
                    )

            return fn(*args, **kwargs)

        return inner  # type: ignore

    return wrapper

deprecate_kwargs

deprecate_kwargs(
    *kws: str,
    is_deprecated: bool | Callable[[], bool] = True,
    additional_message: str | None = None,
) -> Callable[[F], F]
Source code in vllm/utils/func.py
def deprecate_kwargs(
    *kws: str,
    is_deprecated: bool | Callable[[], bool] = True,
    additional_message: str | None = None,
) -> Callable[[F], F]:
    deprecated_kws = set(kws)

    if not callable(is_deprecated):
        is_deprecated = partial(identity, is_deprecated)

    def wrapper(fn: F) -> F:
        @wraps(fn)
        def inner(*args, **kwargs):
            if is_deprecated():
                deprecated_kwargs = kwargs.keys() & deprecated_kws
                if deprecated_kwargs:
                    msg = (
                        f"The keyword arguments {deprecated_kwargs} are "
                        "deprecated and will be removed in a future update."
                    )
                    if additional_message is not None:
                        msg += f" {additional_message}"

                    warnings.warn(
                        DeprecationWarning(msg),
                        stacklevel=3,  # The inner function takes up one level
                    )

            return fn(*args, **kwargs)

        return inner  # type: ignore

    return wrapper

get_allowed_kwarg_only_overrides

get_allowed_kwarg_only_overrides(
    callable: Callable[..., object],
    overrides: Mapping[str, object] | None,
    *,
    requires_kw_only: bool = True,
    allow_var_kwargs: bool = False,
) -> dict[str, Any]

Given a callable which has one or more keyword only params and a dict mapping param names to values, drop values that can be not be kwarg expanded to overwrite one or more keyword-only args. This is used in a few places to handle custom processor overrides for multimodal models, e.g., for profiling when processor options provided by the user may affect the number of mm tokens per instance.

Parameters:

Name Type Description Default
callable Callable[..., object]

Callable which takes 0 or more keyword only arguments. If None is provided, all overrides names are allowed.

required
overrides Mapping[str, object] | None

Potential overrides to be used when invoking the callable.

required
allow_var_kwargs bool

Allows overrides that are expandable for var kwargs.

False

Returns:

Type Description
dict[str, Any]

Dictionary containing the kwargs to be leveraged which may be used

dict[str, Any]

to overwrite one or more keyword only arguments when invoking the

dict[str, Any]

callable.

Source code in vllm/utils/func.py
def get_allowed_kwarg_only_overrides(
    callable: Callable[..., object],
    overrides: Mapping[str, object] | None,
    *,
    requires_kw_only: bool = True,
    allow_var_kwargs: bool = False,
) -> dict[str, Any]:
    """
    Given a callable which has one or more keyword only params and a dict
    mapping param names to values, drop values that can be not be kwarg
    expanded to overwrite one or more keyword-only args. This is used in a
    few places to handle custom processor overrides for multimodal models,
    e.g., for profiling when processor options provided by the user
    may affect the number of mm tokens per instance.

    Args:
        callable: Callable which takes 0 or more keyword only arguments.
                  If None is provided, all overrides names are allowed.
        overrides: Potential overrides to be used when invoking the callable.
        allow_var_kwargs: Allows overrides that are expandable for var kwargs.

    Returns:
        Dictionary containing the kwargs to be leveraged which may be used
        to overwrite one or more keyword only arguments when invoking the
        callable.
    """
    if not overrides:
        return {}

    # Drop any mm_processor_kwargs provided by the user that
    # are not kwargs, unless it can fit it var_kwargs param
    filtered_overrides = {
        kwarg_name: val
        for kwarg_name, val in overrides.items()
        if supports_kw(
            callable,
            kwarg_name,
            requires_kw_only=requires_kw_only,
            allow_var_kwargs=allow_var_kwargs,
        )
    }

    # If anything is dropped, log a warning
    dropped_keys = overrides.keys() - filtered_overrides.keys()
    if dropped_keys:
        if requires_kw_only:
            logger.warning(
                "The following intended overrides are not keyword-only args "
                "and will be dropped: %s",
                dropped_keys,
            )
        else:
            logger.warning(
                "The following intended overrides are not keyword args "
                "and will be dropped: %s",
                dropped_keys,
            )

    return filtered_overrides

identity

identity(value: T, **kwargs) -> T

Returns the first provided value.

Source code in vllm/utils/func.py
def identity(value: T, **kwargs) -> T:
    """Returns the first provided value."""
    return value

make_async

make_async(
    func: Callable[P, T], executor: Executor | None = None
) -> Callable[P, Awaitable[T]]

Take a blocking function, and run it on in an executor thread.

This function prevents the blocking function from blocking the asyncio event loop. The code in this function needs to be thread safe.

Source code in vllm/utils/func.py
def make_async(
    func: Callable[P, T],
    executor: concurrent.futures.Executor | None = None,
) -> Callable[P, Awaitable[T]]:
    """
    Take a blocking function, and run it on in an executor thread.

    This function prevents the blocking function from blocking the
    asyncio event loop.
    The code in this function needs to be thread safe.
    """

    def _async_wrapper(*args: P.args, **kwargs: P.kwargs) -> asyncio.Future[T]:
        loop = asyncio.get_event_loop()
        p_func = partial(func, *args, **kwargs)
        return loop.run_in_executor(executor=executor, func=p_func)

    return _async_wrapper

run_once

run_once(f: Callable[P, None]) -> Callable[P, None]
Source code in vllm/utils/func.py
def run_once(f: Callable[P, None]) -> Callable[P, None]:
    def wrapper(*args: P.args, **kwargs: P.kwargs) -> None:
        if wrapper.has_run:  # type: ignore[attr-defined]
            return

        with wrapper.lock:  # type: ignore[attr-defined]
            if not wrapper.has_run:  # type: ignore[attr-defined]
                wrapper.has_run = True  # type: ignore[attr-defined]
                return f(*args, **kwargs)

    wrapper.has_run = False  # type: ignore[attr-defined]
    wrapper.lock = threading.Lock()  # type: ignore[attr-defined]
    return wrapper

supports_kw cached

supports_kw(
    callable: Callable[..., object],
    kw_name: str,
    *,
    requires_kw_only: bool = False,
    allow_var_kwargs: bool = True,
) -> bool

Check if a keyword is a valid kwarg for a callable; if requires_kw_only disallows kwargs names that can also be positional arguments.

Source code in vllm/utils/func.py
@lru_cache
def supports_kw(
    callable: Callable[..., object],
    kw_name: str,
    *,
    requires_kw_only: bool = False,
    allow_var_kwargs: bool = True,
) -> bool:
    """Check if a keyword is a valid kwarg for a callable; if requires_kw_only
    disallows kwargs names that can also be positional arguments.
    """
    params = inspect.signature(callable).parameters
    if not params:
        return False

    param_val = params.get(kw_name)

    # Types where the it may be valid, i.e., explicitly defined & nonvariadic
    passable_kw_types = set(
        (
            inspect.Parameter.POSITIONAL_ONLY,
            inspect.Parameter.POSITIONAL_OR_KEYWORD,
            inspect.Parameter.KEYWORD_ONLY,
        )
    )

    if param_val:
        is_sig_param = param_val.kind in passable_kw_types
        # We want kwargs only, but this is passable as a positional arg
        if (
            requires_kw_only
            and is_sig_param
            and param_val.kind != inspect.Parameter.KEYWORD_ONLY
        ):
            return False
        if (requires_kw_only and param_val.kind == inspect.Parameter.KEYWORD_ONLY) or (
            not requires_kw_only and is_sig_param
        ):
            return True

    # If we're okay with var-kwargs, it's supported as long as
    # the kw_name isn't something like *args, **kwargs
    if allow_var_kwargs:
        # Get the last param; type is ignored here because params is a proxy
        # mapping, but it wraps an ordered dict, and they appear in order.
        # Ref: https://docs.python.org/3/library/inspect.html#inspect.Signature.parameters
        last_param = params[next(reversed(params))]  # type: ignore
        return (
            last_param.kind == inspect.Parameter.VAR_KEYWORD
            and last_param.name != kw_name
        )

    return False