vlm: reject moss vision metadata mismatches (#31957)

2026-07-29 07:09:54 +08:00
parent c9947b087b
commit 70ea37e7e0
2 changed files with 98 additions and 12 deletions
@@ -0,0 +1,85 @@
+import re
+from types import SimpleNamespace
+
+import pytest
+import torch
+
+from sglang.srt.multimodal.processors.moss_vl import MossVLImageProcessor
+from sglang.test.ci.ci_register import register_cpu_ci
+
+register_cpu_ci(est_time=1, suite="base-a-test-cpu")
+
+
+def _vision_info(frame_count: int):
+    return [
+        {
+            "medias": [
+                {
+                    "num_frames": frame_count,
+                    "grid_h": 4,
+                    "grid_w": 4,
+                    "start": 0,
+                    "vision_tokens_per_frame": 4,
+                }
+            ]
+        }
+    ]
+
+
+def _processor():
+    processor = object.__new__(MossVLImageProcessor)
+    processor.image_token_id = 99
+    processor.hf_config = SimpleNamespace(
+        vision_config=SimpleNamespace(spatial_merge_size=2)
+    )
+    return processor
+
+
+@pytest.mark.parametrize(
+    ("input_ids", "frame_count", "expected_counts"),
+    [
+        ([[1, 99, 2]], 2, "2 frame(s) and 1 token(s)"),
+        ([[99, 99]], 1, "1 frame(s) and 2 token(s)"),
+        ([[1, 2]], 1, "1 frame(s) and 0 token(s)"),
+        ([[1, 99, 2]], 0, "0 frame(s) and 1 token(s)"),
+    ],
+)
+def test_moss_vl_rejects_vision_metadata_token_mismatch(
+    input_ids, frame_count, expected_counts
+):
+    processor = _processor()
+    input_ids = torch.tensor(input_ids)
+    position_ids = processor._compute_position_ids(input_ids)
+
+    with pytest.raises(ValueError, match=re.escape(expected_counts)):
+        processor._compute_vision_position_ids(
+            input_ids=input_ids,
+            position_ids=position_ids,
+            vision_token_info=_vision_info(frame_count),
+            max_vision_seq_len=16,
+            attention_mask=None,
+        )
+
+
+def test_moss_vl_accepts_matching_vision_metadata_and_tokens():
+    processor = _processor()
+    input_ids = torch.tensor([[1, 99, 2]])
+    position_ids = processor._compute_position_ids(input_ids)
+
+    vision_positions, updated_positions, rope_deltas = (
+        processor._compute_vision_position_ids(
+            input_ids=input_ids,
+            position_ids=position_ids,
+            vision_token_info=_vision_info(1),
+            max_vision_seq_len=16,
+            attention_mask=None,
+        )
+    )
+
+    assert vision_positions.shape == (3, 1, 16)
+    assert updated_positions.shape == position_ids.shape
+    assert rope_deltas.shape == (1,)
+
+
+if __name__ == "__main__":
+    raise SystemExit(pytest.main([__file__, "-v"]))