mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 12:54:11 +08:00
3cda34ebde
This is the result of applying the ruff `UP035` check. `Callable` is imported from `collections.abc` instead of `typing`. `TypeAlias` is also imported from `typing`. This PR is the follow-up of #163947. Pull Request resolved: https://github.com/pytorch/pytorch/pull/164054 Approved by: https://github.com/ezyang, https://github.com/Skylion007
22 lines
720 B
Python
22 lines
720 B
Python
from collections.abc import Callable
|
|
from typing import TypeVar
|
|
|
|
|
|
F = TypeVar("F")
|
|
|
|
|
|
# Allows one to expose an API in a private submodule publicly as per the definition
|
|
# in PyTorch's public api policy.
|
|
#
|
|
# It is a temporary solution while we figure out if it should be the long-term solution
|
|
# or if we should amend PyTorch's public api policy. The concern is that this approach
|
|
# may not be very robust because it's not clear what __module__ is used for.
|
|
# However, both numpy and jax overwrite the __module__ attribute of their APIs
|
|
# without problem, so it seems fine.
|
|
def exposed_in(module: str) -> Callable[[F], F]:
|
|
def wrapper(fn: F) -> F:
|
|
fn.__module__ = module
|
|
return fn
|
|
|
|
return wrapper
|