Add warning for inference end2end models with `augment` arg (#13958)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

tests/test_python.py

@@ -585,4 +585,5 @@ def test_yolov10():
     # train/val/predict
     model.train(data="coco8.yaml", epochs=1, imgsz=32, close_mosaic=1, cache="disk")
     model.val(data="coco8.yaml", imgsz=32)
+    model.predict(imgsz=32, save_txt=True, save_crop=True, augment=True)
     model(SOURCE)

ultralytics/nn/tasks.py

@@ -151,8 +151,8 @@ class BaseModel(nn.Module):
     def _predict_augment(self, x):
         """Perform augmentations on input image x and return augmented inference."""
         LOGGER.warning(
-            f"WARNING ⚠️ {self.__class__.__name__} does not support augmented inference yet. "
-            f"Reverting to single-scale inference instead."
+            f"WARNING ⚠️ {self.__class__.__name__} does not support 'augment=True' prediction. "
+            f"Reverting to single-scale prediction."
         )
         return self._predict_once(x)
 
@@ -337,6 +337,12 @@ class DetectionModel(BaseModel):
 
     def _predict_augment(self, x):
         """Perform augmentations on input image x and return augmented inference and train outputs."""
+        if self.end2end:
+            LOGGER.warning(
+                "WARNING ⚠️ End2End model does not support 'augment=True' prediction. "
+                "Reverting to single-scale prediction."
+            )
+            return self._predict_once(x)
         img_size = x.shape[-2:]  # height, width
         s = [1, 0.83, 0.67]  # scales
         f = [None, 3, None]  # flips (2-ud, 3-lr)