[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

src/lightning/fabric/strategies/launchers/multiprocessing.py

@@ -22,16 +22,16 @@
 
 from lightning.fabric.strategies.launchers.launcher import _Launcher
 from lightning.fabric.utilities.apply_func import move_data_to_device
-from lightning.fabric.utilities.imports import _IS_INTERACTIVE
+from lightning.fabric.utilities.imports import _IS_INTERACTIVE, _LIGHTNING_XPU_AVAILABLE
 from lightning.fabric.utilities.seed import _collect_rng_states, _set_rng_states
-from lightning.fabric.utilities.imports import _LIGHTNING_XPU_AVAILABLE
 
 if TYPE_CHECKING:
     from lightning.fabric.strategies import ParallelStrategy
-    
+
 if _LIGHTNING_XPU_AVAILABLE:
     from lightning_xpu.fabric import XPUAccelerator
 
+
 class _MultiProcessingLauncher(_Launcher):
     r"""Launches processes that run a given function in parallel, and joins them all at the end.
 
@@ -193,6 +193,7 @@ def _check_bad_cuda_fork() -> None:
         message += " You will have to restart the Python kernel."
     raise RuntimeError(message)
 
+
 def _check_bad_xpu_fork() -> None:
     """Checks whether it is safe to fork and initialize XPU in the new processes, and raises an exception if not.
 
@@ -209,4 +210,4 @@ def _check_bad_xpu_fork() -> None:
     )
     if _IS_INTERACTIVE:
         message += " You will have to restart the Python kernel."
-    raise RuntimeError(message)    
+    raise RuntimeError(message)

src/lightning/pytorch/strategies/launchers/multiprocessing.py

@@ -34,12 +34,12 @@
 from lightning.pytorch.strategies.launchers.launcher import _Launcher
 from lightning.pytorch.trainer.connectors.signal_connector import _SIGNUM
 from lightning.pytorch.trainer.states import TrainerFn, TrainerState
-from lightning.pytorch.utilities.rank_zero import rank_zero_debug
 from lightning.pytorch.utilities.imports import _LIGHTNING_XPU_AVAILABLE
+from lightning.pytorch.utilities.rank_zero import rank_zero_debug
 
 if _LIGHTNING_XPU_AVAILABLE:
     from lightning_xpu.pytorch import XPUAccelerator
-    
+
 log = logging.getLogger(__name__)