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Describe the bug

I'm trying to call the Qwen2.5-VL engine using the token_in method. I directly ran the script examples/runtime/token_in_token_out/token_in_token_out_vlm_engine.py (with only the checkpoint path modified), but encountered the following error:

Traceback (most recent call last):
  File "/workspace/xuyifan/verl/sglang_test2.py", line 78, in <module>
    token_in_out_example(server_args)
  File "/workspace/xuyifan/verl/sglang_test2.py", line 54, in token_in_out_example
    output = backend.generate(
  File "/workspace/xuyifan/sglang/python/sglang/srt/entrypoints/engine.py", line 183, in generate
    ret = loop.run_until_complete(generator.__anext__())
  File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
  File "/workspace/xuyifan/sglang/python/sglang/srt/managers/tokenizer_manager.py", line 363, in generate_request
    tokenized_obj = await self._tokenize_one_request(obj)
  File "/workspace/xuyifan/sglang/python/sglang/srt/managers/tokenizer_manager.py", line 401, in _tokenize_one_request
    image_inputs: Dict = await self.mm_processor.process_mm_data_async(
  File "/workspace/xuyifan/sglang/python/sglang/srt/managers/multimodal_processors/qwen_vl.py", line 122, in process_mm_data_async
    resize_tasks = [resize_image_async(image) for image in base_output.images]
TypeError: 'NoneType' object is not iterable

After some debugging, I found that the issue likely stems from the following code in sglang/srt/managers/multimodal_processors/base_processor.py at line 171:

for index, text_part in enumerate(text_parts):
    print(f"================index: {index}, text_part: {text_part}")
    try:
        if text_part == multimodal_tokens.image_token:
            # load as image

In this case, text_parts is a list of length 1, and its content is:

<|vision_start|><|image_pad|><|image_pad|>...<|image_pad|><|vision_end|>What is in this picture?

As a result, the function fails to extract any images, and base_output.images ends up being None, which causes the TypeError.

Is there a recommended solution or workaround for this issue?

Reproduction

runing examples/runtime/token_in_token_out/token_in_token_out_vlm_engine.py with qwen2.5-vl-3b-instruct

Environment

Python: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: NVIDIA H800
GPU 0,1,2,3,4,5,6,7 Compute Capability: 9.0
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 12.3, V12.3.107
CUDA Driver Version: 535.54.03
PyTorch: 2.6.0+cu124
sglang: 0.4.4.post3
sgl_kernel: 0.0.5.post3
flashinfer: Module Not Found
triton: 3.2.0
transformers: 4.49.0.dev0
torchao: 0.9.0
numpy: 1.26.4
aiohttp: 3.9.1
fastapi: 0.115.5
hf_transfer: 0.1.9
huggingface_hub: 0.26.2
interegular: 0.3.3
modelscope: 1.23.1
orjson: 3.10.11
outlines: 0.1.11
packaging: 23.2
psutil: 5.9.4
pydantic: 2.10.5
multipart: Module Not Found
zmq: Module Not Found
uvicorn: 0.22.0
uvloop: 0.21.0
vllm: 0.7.2
xgrammar: 0.1.14
openai: 1.59.6
tiktoken: 0.7.0
anthropic: 0.49.0
litellm: 1.57.4
decord: 0.6.0
NVIDIA Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 NIC0 NIC1 NIC2 NIC3 NIC4 NIC5 NIC6 NIC7 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV8 NV8 NV8 NV8 NV8 NV8 NV8 PIX NODE NODE NODE SYS SYS SYSSYS 0-85 0 N/A
GPU1 NV8 X NV8 NV8 NV8 NV8 NV8 NV8 NODE PIX NODE NODE SYS SYS SYSSYS 0-85 0 N/A
GPU2 NV8 NV8 X NV8 NV8 NV8 NV8 NV8 NODE NODE PIX NODE SYS SYS SYSSYS 0-85 0 N/A
GPU3 NV8 NV8 NV8 X NV8 NV8 NV8 NV8 NODE NODE NODE PIX SYS SYS SYSSYS 0-85 0 N/A
GPU4 NV8 NV8 NV8 NV8 X NV8 NV8 NV8 SYS SYS SYS SYS PIX NODE NODE NODE 86-171 1 N/A
GPU5 NV8 NV8 NV8 NV8 NV8 X NV8 NV8 SYS SYS SYS SYS NODE PIX NODE NODE 86-171 1 N/A
GPU6 NV8 NV8 NV8 NV8 NV8 NV8 X NV8 SYS SYS SYS SYS NODE NODE PIXNODE 86-171 1 N/A
GPU7 NV8 NV8 NV8 NV8 NV8 NV8 NV8 X SYS SYS SYS SYS NODE NODE NODE PIX 86-171 1 N/A
NIC0 PIX NODE NODE NODE SYS SYS SYS SYS X NODE NODE NODE SYS SYS SYSSYS
NIC1 NODE PIX NODE NODE SYS SYS SYS SYS NODE X NODE NODE SYS SYS SYSSYS
NIC2 NODE NODE PIX NODE SYS SYS SYS SYS NODE NODE X NODE SYS SYS SYSSYS
NIC3 NODE NODE NODE PIX SYS SYS SYS SYS NODE NODE NODE X SYS SYS SYSSYS
NIC4 SYS SYS SYS SYS PIX NODE NODE NODE SYS SYS SYS SYS X NODE NODE NODE
NIC5 SYS SYS SYS SYS NODE PIX NODE NODE SYS SYS SYS SYS NODE X NODE NODE
NIC6 SYS SYS SYS SYS NODE NODE PIX NODE SYS SYS SYS SYS NODE NODE X NODE
NIC7 SYS SYS SYS SYS NODE NODE NODE PIX SYS SYS SYS SYS NODE NODE NODE X

Legend:

X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
PIX = Connection traversing at most a single PCIe bridge
NV# = Connection traversing a bonded set of # NVLinks

NIC Legend:

NIC0: mlx5_bond_0
NIC1: mlx5_bond_1
NIC2: mlx5_bond_2
NIC3: mlx5_bond_3
NIC4: mlx5_bond_4
NIC5: mlx5_bond_5
NIC6: mlx5_bond_6
NIC7: mlx5_bond_7

Hypervisor vendor: KVM
ulimit soft: 1048576