Merge branch 'master' into dependabot/github_actions/github-actions-e8e82a767a

Author: vfdev-5

ignite/engine/__init__.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from collections.abc import Callable, Mapping, Sequence
-from typing import TYPE_CHECKING, Any
+from typing import TYPE_CHECKING, Any, cast
 
 if TYPE_CHECKING:
     # GradScaler is imported here rather than used as a string literal ("torch.amp.GradScaler")
@@ -221,7 +221,7 @@ def update(engine: Engine, batch: Sequence[torch.Tensor]) -> Any | tuple[torch.T
             if gradient_accumulation_steps > 1:
                 loss = loss / gradient_accumulation_steps
         if scaler:
-            scaler.scale(loss).backward()
+            cast(torch.Tensor, scaler.scale(loss)).backward()
             if engine.state.iteration % gradient_accumulation_steps == 0:
                 scaler.step(optimizer)
                 scaler.update()

ignite/handlers/polyaxon_logger.py

@@ -122,7 +122,7 @@ def __init__(self, *args: Any, **kwargs: Any):
     def close(self) -> None:
         try:
             self.experiment.end()
-        except:
+        except Exception:
             pass
 
     def __getattr__(self, attr: Any) -> Any: