Fix pre-commit issues

CHANGELOG.md

@@ -10,6 +10,8 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
 
 ### Changed
 
+- Changed default inference device to AUTO in https://github.com/openvinotoolkit/anomalib/pull/1534
+
 ### Deprecated
 
 - Support only Python 3.10 and greater in https://github.com/openvinotoolkit/anomalib/pull/1299

src/anomalib/cli/cli.py

@@ -303,7 +303,7 @@ def train(self) -> Callable[..., _EVALUATE_OUTPUT]:
         return self.engine.train
 
     @property
-    def export(self) -> Callable[..., None]:
+    def export(self) -> Callable[..., Path | None]:
         """Export the model using engine's export method."""
         return self.engine.export
 

src/anomalib/deploy/export.py

@@ -63,6 +63,7 @@ def export_to_torch(
             Albumentations.
         task (TaskType | None): Task type should be provided if transforms is of type dict or A.Compose object.
             Defaults to ``None``.
+
     Returns:
         Path: Path to the exported pytorch model.
 
@@ -245,9 +246,9 @@ def export_to_openvino(
         model = convert_model(model_path, **ov_args)
         serialize(model, ov_model_path)
         return ov_model_path
-    else:
-        logger.exception("Could not find OpenVINO methods. Please check OpenVINO installation.")
-        raise ModuleNotFoundError
+
+    logger.exception("Could not find OpenVINO methods. Please check OpenVINO installation.")
+    raise ModuleNotFoundError
 
 
 def get_metadata(

src/anomalib/engine/engine.py

@@ -461,7 +461,7 @@ def export(
         input_size: tuple[int, int] | None = None,
         ov_args: dict[str, Any] | None = None,
         ckpt_path: str | None = None,
-    ) -> Path:
+    ) -> Path | None:
         """Export the model in the specified format.
 
         Args:
@@ -517,7 +517,7 @@ def export(
 
         if export_mode == ExportMode.TORCH:
             return export_to_torch(model=model, export_path=export_path, transform=transform, task=self.task)
-        elif export_mode == ExportMode.ONNX:
+        if export_mode == ExportMode.ONNX:
             assert input_size is not None, "input_size must be provided for ONNX export mode."
             return export_to_onnx(
                 model=model,
@@ -526,7 +526,7 @@ def export(
                 transform=transform,
                 task=self.task,
             )
-        elif export_mode == ExportMode.OPENVINO:
+        if export_mode == ExportMode.OPENVINO:
             assert input_size is not None, "input_size must be provided for OpenVINO export mode."
             return export_to_openvino(
                 model=model,
@@ -536,5 +536,6 @@ def export(
                 task=self.task,
                 ov_args=ov_args,
             )
-        else:
-            logging.error(f"Export mode {export_mode} is not supported yet.")
+
+        logging.error(f"Export mode {export_mode} is not supported yet.")
+        return None