DŽgtddlmZddlmZmZddlZdgZedZGddeejjeeZ Gdd ejjeee Z y) ) annotations)GenericTypeVarNAwaitWc eZdZy) _PyAwaitMetaN)__name__ __module__ __qualname__^/home/mcse/projects/flask_80/flask-venv/lib/python3.12/site-packages/torch/_awaits/__init__.pyr r srr ceZdZdZy)_AwaitaC Wrapper around a ``torch._C.Await`` which encapsulates delayed execution of a callable. All manipulations happen with functions ``torch.jit._awaitable``, ``torch.jit._awaitable_wait``, ``torch.jit._awaitable_nowait``. Torch scriptable manipulations: ``torch.jit._awaitable(func, *args)`` Creates ``Await[W]`` object, where W is return type of func. Returns: ``torch.jit._awaitable_wait(Await[W])`` Returns the result of the function, specified at ``_awaitable``, with specified arguments. Returns: The result of type ``W`` of the function call. The result is owned by ``Await[W]`` and returned on all following ``_awaitable_wait`` calls. ``torch.jit._awaitable_nowait(W)`` Returns: Trivial ``Await[W]`` with specified result. Only in eager mode: ``fn() -> Callable[Tuple[Any], W]`` Returns: Specified at ``_awaitable`` python function ``func``. ``args() -> Tuple[Any]`` Returns: Specified at ``_awaitable`` python args. ``is_nowait() -> _bool`` Returns: ``True`` if this object was created via ``_awaitable_nowait`` call (trivial `Await[W]`). In eager mode ``Await[W]`` can be used as ``W`` i.e. attributes of W can be called on ``Await[W]``, ``_awaitable_wait()`` call will be transparently added. N)r r r __doc__r rrrrs&rr) metaclass) __future__rtypingrrtorch__all__rtype_Crr r rrrsY"# ) CL 4($w- 'UXX__gajL'r