Make format

src/foundry/trainers/fabric.py

@@ -129,7 +129,9 @@ class FabricTrainer(ABC):
         """
         # Handle XPU accelerator
         is_xpu = hasattr(torch, "xpu") and torch.xpu.is_available()
-        if accelerator == "xpu" or (accelerator == "auto" and is_xpu and not torch.cuda.is_available()):
+        if accelerator == "xpu" or (
+            accelerator == "auto" and is_xpu and not torch.cuda.is_available()
+        ):
             accelerator = XPUAccelerator()
             precision_plugin = None
             if precision in ("16-mixed", "bf16-mixed"):

src/foundry/utils/xpu/__init__.py

@@ -25,4 +25,3 @@ from .xpu_accelerator import XPUAccelerator
 from .xpu_precision import XPUMixedPrecision
 
 __all__ = ["SingleXPUStrategy", "XPUAccelerator", "XPUMixedPrecision"]
-

src/foundry/utils/xpu/single_xpu_strategy.py

@@ -45,4 +45,3 @@ class SingleXPUStrategy(SingleDeviceStrategy):
         # Precision is handled via the _precision property in newer Lightning versions
         if precision_plugin is not None:
             self._precision = precision_plugin
-

src/foundry/utils/xpu/xpu_accelerator.py

@@ -89,4 +89,3 @@ class XPUAccelerator(Accelerator):
         """Clean up XPU accelerator resources."""
         # Empty implementation required by base class
         pass
-

src/foundry/utils/xpu/xpu_precision.py

@@ -70,4 +70,3 @@ class XPUMixedPrecision(MixedPrecision):
         if isinstance(data, Tensor) and data.is_floating_point():
             return data.to(self._desired_input_dtype)
         return data
-