Fix roi_align: handle tuple from .unbind() not just list

app.py

@@ -52,9 +52,11 @@ if torch.cuda.is_available():
         import torchvision.ops
         orig_roi_align = torchvision.ops.roi_align
         def patched_roi_align(input, boxes, output_size, spatial_scale=1.0, sampling_ratio=-1, aligned=False):
-            if isinstance(boxes, torch.Tensor) and input.is_floating_point() and boxes.dtype != input.dtype:
-                boxes = boxes.to(input.dtype)
-            elif isinstance(boxes, list):
+            # Handle Tensor, list, or tuple (Meta uses .unbind() which returns a tuple!)
+            if isinstance(boxes, torch.Tensor):
+                if input.is_floating_point() and boxes.dtype != input.dtype:
+                    boxes = boxes.to(input.dtype)
+            elif isinstance(boxes, (list, tuple)):
                 boxes = [b.to(input.dtype) if isinstance(b, torch.Tensor) and b.dtype != input.dtype else b for b in boxes]
             return orig_roi_align(input, boxes, output_size, spatial_scale, sampling_ratio, aligned)
         torchvision.ops.roi_align = patched_roi_align