Coerce token ids to int in build_fl2va_presentation

src/h3_blackwell_runtime/qwen3vl_vision.py

@@ -462,15 +462,16 @@ def build_fl2va_presentation(
     for tok, kind in entries:
         if kind == "image":
             flatten, grid, merged, deepstack, size = vision_outputs[vision_index]
+            size = int(size)
             start = len(token_ids)
             token_ids.extend([0] * size)  # placeholder ids, overwritten by the merged rows
             embeds_info.append({"type": "image", "index": start, "size": size, "extra": {"grid": grid, "deepstack": deepstack, "merged": merged}})
             vision_index += 1
         else:
-            token_ids.append(tok)
+            token_ids.append(int(tok))
 
     seq_len = len(token_ids)
-    input_ids = torch.tensor(token_ids, device=device)
+    input_ids = torch.tensor([int(t) for t in token_ids], dtype=torch.long, device=device)
 
     # Build the Qwen hidden-state input: scaled token embeds, with the merged vision
     # rows spliced over the pad positions.