Fixed `TypeError` on 1.7.6 when `torch.distributed` unavailable (#14809)

* Fixed TypeError on 1.7.6 when distributed unavailable
* changelog

src/pytorch_lightning/CHANGELOG.md

@@ -13,6 +13,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Break HPU Graphs into two parts (forward + backward as one and optimizer as another) for better performance ([#14656](https://github.com/Lightning-AI/lightning/pull/14656))
 - Fixed torchscript error with ensembles of LightningModules ([#14657](https://github.com/Lightning-AI/lightning/pull/14657), [#14724](https://github.com/Lightning-AI/lightning/pull/14724))
 - Fixed an issue with `TensorBoardLogger.finalize` creating a new experiment when none was created during the Trainer's execution ([#14762](https://github.com/Lightning-AI/lightning/pull/14762))
+- Fixed `TypeError` on import when `torch.distributed` is not available ([#14809](https://github.com/Lightning-AI/lightning/pull/14809))
 
 
 ## [1.7.6] - 2022-09-13

src/pytorch_lightning/utilities/types.py

@@ -31,7 +31,7 @@ from typing_extensions import Protocol, runtime_checkable
 if torch.distributed.is_available():
     from torch._C._distributed_c10d import ProcessGroup
 else:
-    ProcessGroup = ...  # type: ignore[assignment,misc]
+    ProcessGroup = Any  # type: ignore[assignment,misc]
 
 _NUMBER = Union[int, float]
 _METRIC = Union[Metric, Tensor, _NUMBER]