chore: import upstream snapshot with attribution

2026-07-13 12:55:37 +08:00
commit 7ce4c8e27e
5900 changed files with 1668062 additions and 0 deletions
@@ -0,0 +1,56 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+import pytest
+
+from vllm.assets.image import ImageAsset
+from vllm.config import ModelConfig
+from vllm.multimodal import MULTIMODAL_REGISTRY
+
+
+@pytest.mark.parametrize("model_id", ["llava-hf/llava-onevision-qwen2-0.5b-ov-hf"])
+def test_multimodal_processor(model_id):
+    model_config = ModelConfig(
+        model=model_id,
+        model_impl="transformers",
+    )
+
+    mm_processor = MULTIMODAL_REGISTRY.create_processor(model_config)
+
+    image_pil = ImageAsset("cherry_blossom").pil_image
+    mm_data = {"image": image_pil}
+    str_prompt = "<|im_start|>user <image>\nWhat is the content of this image?<|im_end|><|im_start|>assistant\n"  # noqa: E501
+    str_processed_inputs = mm_processor(
+        prompt=str_prompt,
+        mm_items=mm_processor.info.parse_mm_data(mm_data),
+        hf_processor_mm_kwargs={},
+    )
+
+    ids_prompt = [
+        151644,
+        872,
+        220,
+        151646,
+        198,
+        3838,
+        374,
+        279,
+        2213,
+        315,
+        419,
+        2168,
+        30,
+        151645,
+        151644,
+        77091,
+        198,
+    ]
+    ids_processed_inputs = mm_processor(
+        prompt=ids_prompt,
+        mm_items=mm_processor.info.parse_mm_data(mm_data),
+        hf_processor_mm_kwargs={},
+    )
+
+    assert (
+        str_processed_inputs["prompt_token_ids"]
+        == ids_processed_inputs["prompt_token_ids"]
+    )