o Zht@srddlmZddlmZmZddlZdgZedZGdddeej j eeZ Gdd d ej j eee d Z dS) ) annotations)GenericTypeVarNAwaitWc@s eZdZdS) _PyAwaitMetaN)__name__ __module__ __qualname__r r E/var/www/auris/lib/python3.10/site-packages/torch/_awaits/__init__.pyr src@seZdZdZdS)_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)rr r __doc__r r r r r sr ) metaclass) __future__rtypingrrZtorch__all__rtypeZ_Cr rr r r r s "