[Bug]: Qwen3-VL Launch failed due to incompatible API in get_dummy_input #26190
Description
Your current environment
The output of python collect_env.py
==============================
System Info
==============================
OS : Ubuntu 24.04.1 LTS (x86_64)
GCC version : (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
Clang version : Could not collect
CMake version : version 3.31.4
Libc version : glibc-2.39
==============================
PyTorch Info
==============================
PyTorch version : 2.8.0+cu128
Is debug build : False
CUDA used to build PyTorch : 12.8
ROCM used to build PyTorch : N/A
==============================
Python Environment
==============================
Python version : 3.12.3 (main, Jan 17 2025, 18:03:48) [GCC 13.3.0] (64-bit runtime)
Python platform : Linux-5.15.0-88-generic-x86_64-with-glibc2.39
==============================
CUDA / GPU Info
==============================
Is CUDA available : True
CUDA runtime version : 12.8.61
CUDA_MODULE_LOADING set to : LAZY
GPU models and configuration :
GPU 0: NVIDIA H100 80GB HBM3
GPU 1: NVIDIA H100 80GB HBM3
GPU 2: NVIDIA H100 80GB HBM3
GPU 3: NVIDIA H100 80GB HBM3
GPU 4: NVIDIA H100 80GB HBM3
GPU 5: NVIDIA H100 80GB HBM3
GPU 6: NVIDIA H100 80GB HBM3
GPU 7: NVIDIA H100 80GB HBM3
Nvidia driver version : 535.129.03
cuDNN version : Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.9.7.1
/usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.7.1
/usr/lib/x86_64-linux-gnu/libcudnn_cnn.so.9.7.1
/usr/lib/x86_64-linux-gnu/libcudnn_engines_precompiled.so.9.7.1
/usr/lib/x86_64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.7.1
/usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9.7.1
/usr/lib/x86_64-linux-gnu/libcudnn_heuristic.so.9.7.1
/usr/lib/x86_64-linux-gnu/libcudnn_ops.so.9.7.1
HIP runtime version : N/A
MIOpen runtime version : N/A
Is XNNPACK available : True
==============================
CPU Info
==============================
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 52 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 224
On-line CPU(s) list: 0-223
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Platinum 8480C
CPU family: 6
Model: 143
Thread(s) per core: 2
Core(s) per socket: 56
Socket(s): 2
Stepping: 8
CPU(s) scaling MHz: 96%
CPU max MHz: 3800.0000
CPU min MHz: 800.0000
BogoMIPS: 4000.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cat_l2 cdp_l3 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 5.3 MiB (112 instances)
L1i cache: 3.5 MiB (112 instances)
L2 cache: 224 MiB (112 instances)
L3 cache: 210 MiB (2 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-55,112-167
NUMA node1 CPU(s): 56-111,168-223
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Vulnerable
Vulnerability Spectre v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers
Vulnerability Spectre v2: Vulnerable, IBPB: disabled, STIBP: disabled, PBRSB-eIBRS: Vulnerable
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
==============================
Versions of relevant libraries
==============================
[pip3] mypy-extensions==1.0.0
[pip3] numpy==2.2.6
[pip3] nvidia-cublas-cu12==12.8.4.1
[pip3] nvidia-cuda-cupti-cu12==12.8.90
[pip3] nvidia-cuda-nvrtc-cu12==12.8.93
[pip3] nvidia-cuda-runtime-cu12==12.8.90
[pip3] nvidia-cudnn-cu12==9.10.2.21
[pip3] nvidia-cudnn-frontend==1.10.0
[pip3] nvidia-cufft-cu12==11.3.3.83
[pip3] nvidia-cufile-cu12==1.13.1.3
[pip3] nvidia-curand-cu12==10.3.9.90
[pip3] nvidia-cusolver-cu12==11.7.3.90
[pip3] nvidia-cusparse-cu12==12.5.8.93
[pip3] nvidia-cusparselt-cu12==0.7.1
[pip3] nvidia-dali-cuda120==1.46.0
[pip3] nvidia-modelopt==0.23.0
[pip3] nvidia-modelopt-core==0.23.0
[pip3] nvidia-nccl-cu12==2.27.3
[pip3] nvidia-nvcomp-cu12==4.1.0.6
[pip3] nvidia-nvimgcodec-cu12==0.4.1.21
[pip3] nvidia-nvjitlink-cu12==12.8.93
[pip3] nvidia-nvjpeg2k-cu12==0.8.1.40
[pip3] nvidia-nvtiff-cu12==0.4.0.62
[pip3] nvidia-nvtx-cu12==12.8.90
[pip3] nvidia-pyindex==1.0.9
[pip3] onnx==1.17.0
[pip3] optree==0.14.0
[pip3] pynvml==11.4.1
[pip3] pytorch-triton==3.2.0+git0d4682f0b.nvinternal
[pip3] pyzmq==26.2.1
[pip3] torch==2.8.0
[pip3] torch_geometric==2.5.3
[pip3] torch_tensorrt==2.6.0a0
[pip3] torchaudio==2.8.0
[pip3] torchprofile==0.0.4
[pip3] torchvision==0.23.0
[pip3] transformers==4.57.0.dev0
[pip3] triton==3.4.0
[conda] Could not collect
==============================
vLLM Info
==============================
ROCM Version : Could not collect
vLLM Version : 0.11.0rc2.dev151+g9c5ee91b2 (git sha: 9c5ee91b2)
vLLM Build Flags:
CUDA Archs: 7.5 8.0 8.6 9.0 10.0 12.0+PTX; ROCm: Disabled
GPU Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 NIC0 NIC1 NIC2 NIC3 NIC4 NIC5 NIC6 NIC7 NIC8 NIC9 NIC10 NIC11 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV18 NV18 NV18 NV18 NV18 NV18 NV18 PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS 0-55,112-167 0 N/A
GPU1 NV18 X NV18 NV18 NV18 NV18 NV18 NV18 SYS SYS SYS PXB SYS SYS SYS SYS SYS SYS SYS SYS 0-55,112-167 0 N/A
GPU2 NV18 NV18 X NV18 NV18 NV18 NV18 NV18 SYS SYS SYS SYS PXB SYS SYS SYS SYS SYS SYS SYS 0-55,112-167 0 N/A
GPU3 NV18 NV18 NV18 X NV18 NV18 NV18 NV18 SYS SYS SYS SYS SYS PXB SYS SYS SYS SYS SYS SYS 0-55,112-167 0 N/A
GPU4 NV18 NV18 NV18 NV18 X NV18 NV18 NV18 SYS SYS SYS SYS SYS SYS PXB SYS SYS SYS SYS SYS 56-111,168-223 1 N/A
GPU5 NV18 NV18 NV18 NV18 NV18 X NV18 NV18 SYS SYS SYS SYS SYS SYS SYS SYS SYS PXB SYS SYS 56-111,168-223 1 N/A
GPU6 NV18 NV18 NV18 NV18 NV18 NV18 X NV18 SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS PXB SYS 56-111,168-223 1 N/A
GPU7 NV18 NV18 NV18 NV18 NV18 NV18 NV18 X SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS PXB 56-111,168-223 1 N/A
NIC0 PXB SYS SYS SYS SYS SYS SYS SYS X SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS
NIC1 SYS SYS SYS SYS SYS SYS SYS SYS SYS X PIX SYS SYS SYS SYS SYS SYS SYS SYS SYS
NIC2 SYS SYS SYS SYS SYS SYS SYS SYS SYS PIX X SYS SYS SYS SYS SYS SYS SYS SYS SYS
NIC3 SYS PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS X SYS SYS SYS SYS SYS SYS SYS SYS
NIC4 SYS SYS PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS X SYS SYS SYS SYS SYS SYS SYS
NIC5 SYS SYS SYS PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS X SYS SYS SYS SYS SYS SYS
NIC6 SYS SYS SYS SYS PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS X SYS SYS SYS SYS SYS
NIC7 SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS X PIX SYS SYS SYS
NIC8 SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS PIX X SYS SYS SYS
NIC9 SYS SYS SYS SYS SYS PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS X SYS SYS
NIC10 SYS SYS SYS SYS SYS SYS PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS X SYS
NIC11 SYS SYS SYS SYS SYS SYS SYS PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS 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_0
NIC1: mlx5_1
NIC2: mlx5_2
NIC3: mlx5_3
NIC4: mlx5_4
NIC5: mlx5_5
NIC6: mlx5_6
NIC7: mlx5_7
NIC8: mlx5_8
NIC9: mlx5_9
NIC10: mlx5_10
NIC11: mlx5_11
==============================
Environment Variables
==============================
NVIDIA_VISIBLE_DEVICES=all
LOCAL_RANK=0
CUBLAS_VERSION=12.8.3.14
NVIDIA_REQUIRE_CUDA=cuda>=9.0
NCCL_IB_PCI_RELAXED_ORDERING=0
CUDA_CACHE_DISABLE=1
TORCH_CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0+PTX
NCCL_VERSION=2.25.1
NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
TORCH_NCCL_USE_COMM_NONBLOCKING=0
NVIDIA_PRODUCT_NAME=PyTorch
CUDA_DEVICE_ORDER=PCI_BUS_ID
CUDA_VERSION=12.8.0.038
PYTORCH_VERSION=2.7.0a0+ecf3bae
PYTORCH_BUILD_NUMBER=0
CUDNN_FRONTEND_VERSION=1.10.0
CUDNN_VERSION=9.7.1.26
PYTORCH_HOME=/opt/pytorch/pytorch
LD_LIBRARY_PATH=/usr/local/lib/python3.12/dist-packages/torch/lib:/usr/local/lib/python3.12/dist-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NVIDIA_BUILD_ID=143088496
CUDA_DRIVER_VERSION=570.86.10
PYTORCH_BUILD_VERSION=2.7.0a0+ecf3bae
CUDA_HOME=/usr/local/cuda
CUDA_HOME=/usr/local/cuda
CUDA_MODULE_LOADING=LAZY
NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
NVIDIA_PYTORCH_VERSION=25.02
TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
🐛 Describe the bug
_get_dummy_mm_inputs got unexpected argument
vllm serve Qwen/Qwen3-VL-235B-A22B-Instruct -tp 8 --limit-mm-per-prompt.video 0 --gpu_memory_utilization 0.95 --max_num_seqs 128
(Worker_TP0 pid=3351357) INFO 10-03 11:14:43 [gpu_model_runner.py:3461] Encoder cache will be initialized with a budget of 16384 tokens, and profiled with 1 image items of the maximum feature size.
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] WorkerProc hit an exception.
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] Traceback (most recent call last):
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/executor/multiproc_executor.py", line 666, in worker_busy_loop
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] output = func(*args, **kwargs)
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/torch/utils/_contextlib.py", line 120, in decorate_context
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] return func(*args, **kwargs)
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/gpu_worker.py", line 263, in determine_available_memory
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] self.model_runner.profile_run()
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/gpu_model_runner.py", line 3471, in profile_run
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] batched_dummy_mm_inputs = self._get_mm_dummy_batch(
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/gpu_model_runner.py", line 2993, in _get_mm_dummy_batch
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] dummy_decoder_data = self.mm_registry.get_decoder_dummy_data(
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/multimodal/registry.py", line 318, in get_decoder_dummy_data
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] dummy_data = profiler.get_decoder_dummy_data(seq_len, mm_counts,
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/multimodal/profiling.py", line 302, in get_decoder_dummy_data
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] mm_inputs = self._get_dummy_mm_inputs(seq_len, mm_counts, mm_options)
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/multimodal/profiling.py", line 238, in _get_dummy_mm_inputs
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] processor_inputs = factory.get_dummy_processor_inputs(
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] TypeError: Qwen3VLDummyInputsBuilder.get_dummy_processor_inputs() takes 3 positional arguments but 4 were given
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] Traceback (most recent call last):
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/executor/multiproc_executor.py", line 666, in worker_busy_loop
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] output = func(*args, **kwargs)
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/torch/utils/_contextlib.py", line 120, in decorate_context
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] return func(*args, **kwargs)
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/gpu_worker.py", line 263, in determine_available_memory
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] self.model_runner.profile_run()
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/gpu_model_runner.py", line 3471, in profile_run
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] batched_dummy_mm_inputs = self._get_mm_dummy_batch(
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/gpu_model_runner.py", line 2993, in _get_mm_dummy_batch
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] dummy_decoder_data = self.mm_registry.get_decoder_dummy_data(
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/multimodal/registry.py", line 318, in get_decoder_dummy_data
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] dummy_data = profiler.get_decoder_dummy_data(seq_len, mm_counts,
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/multimodal/profiling.py", line 302, in get_decoder_dummy_data
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] mm_inputs = self._get_dummy_mm_inputs(seq_len, mm_counts, mm_options)
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] File "/usr/local/lib/python3.12/dist-packages/vllm/multimodal/profiling.py", line 238, in _get_dummy_mm_inputs
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] processor_inputs = factory.get_dummy_processor_inputs(
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671] TypeError: Qwen3VLDummyInputsBuilder.get_dummy_processor_inputs() takes 3 positional arguments but 4 were given
(Worker_TP0 pid=3351357) ERROR 10-03 11:14:43 [multiproc_executor.py:671]
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