fix: drop fullgraph=True from torch.compile for broader compatibility

fullgraph=True requires no graph breaks, which fails without
SAM2VideoPredictorVOS's .clone() patches. Removing it allows
torch.compile to handle graph breaks gracefully via partial
compilation.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

models/segmenters/grounded_sam2.py

@@ -395,11 +395,11 @@ class GroundedSAM2Segmenter(Segmenter):
         """
         vp = self._video_predictor
         components = [
-            ("image_encoder",    dict(mode="max-autotune", fullgraph=True, dynamic=False)),
-            ("memory_encoder",   dict(mode="max-autotune", fullgraph=True, dynamic=False)),
-            ("memory_attention", dict(mode="max-autotune", fullgraph=True, dynamic=True)),
-            ("sam_prompt_encoder", dict(mode="max-autotune", fullgraph=True, dynamic=False)),
-            ("sam_mask_decoder", dict(mode="max-autotune", fullgraph=True, dynamic=False)),
+            ("image_encoder",    dict(mode="max-autotune", dynamic=False)),
+            ("memory_encoder",   dict(mode="max-autotune", dynamic=False)),
+            ("memory_attention", dict(mode="max-autotune", dynamic=True)),
+            ("sam_prompt_encoder", dict(mode="max-autotune", dynamic=False)),
+            ("sam_mask_decoder", dict(mode="max-autotune", dynamic=False)),
         ]
         self._original_forwards: Dict[str, Any] = {}
         compiled = []