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[Bug]: Failed to apply Qwen2VLProcessor when running vllm serve showlab/ShowUI-2B #11762

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cynricfu opened this issue Jan 6, 2025 · 2 comments
Closed
1 task done

[Bug]: Failed to apply Qwen2VLProcessor when running vllm serve showlab/ShowUI-2B #11762

cynricfu opened this issue Jan 6, 2025 · 2 comments
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@cynricfu
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cynricfu commented Jan 6, 2025

Your current environment

The output of `python collect_env.py` 
Collecting environment information...
PyTorch version: 2.5.1+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.22.1
Libc version: glibc-2.35

Python version: 3.12.8 | packaged by conda-forge | (main, Dec  5 2024, 14:24:40) [GCC 13.3.0] (64-bit runtime)
Python platform: Linux-5.15.0-1053-nvidia-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA H800
Nvidia driver version: 535.161.08
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
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 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:    Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1:           Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:           Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds:                Not affected
Vulnerability Tsx async abort:      Not affected

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] nvidia-cublas-cu12==12.4.5.8
[pip3] nvidia-cuda-cupti-cu12==12.4.127
[pip3] nvidia-cuda-nvrtc-cu12==12.4.127
[pip3] nvidia-cuda-runtime-cu12==12.4.127
[pip3] nvidia-cudnn-cu12==9.1.0.70
[pip3] nvidia-cufft-cu12==11.2.1.3
[pip3] nvidia-curand-cu12==10.3.5.147
[pip3] nvidia-cusolver-cu12==11.6.1.9
[pip3] nvidia-cusparse-cu12==12.3.1.170
[pip3] nvidia-ml-py==12.560.30
[pip3] nvidia-nccl-cu12==2.21.5
[pip3] nvidia-nvjitlink-cu12==12.4.127
[pip3] nvidia-nvtx-cu12==12.4.127
[pip3] pyzmq==26.2.0
[pip3] torch==2.5.1
[pip3] torchvision==0.20.1
[pip3] transformers==4.47.1
[pip3] triton==3.1.0
[conda] numpy                     1.26.4                   pypi_0    pypi
[conda] nvidia-cublas-cu12        12.4.5.8                 pypi_0    pypi
[conda] nvidia-cuda-cupti-cu12    12.4.127                 pypi_0    pypi
[conda] nvidia-cuda-nvrtc-cu12    12.4.127                 pypi_0    pypi
[conda] nvidia-cuda-runtime-cu12  12.4.127                 pypi_0    pypi
[conda] nvidia-cudnn-cu12         9.1.0.70                 pypi_0    pypi
[conda] nvidia-cufft-cu12         11.2.1.3                 pypi_0    pypi
[conda] nvidia-curand-cu12        10.3.5.147               pypi_0    pypi
[conda] nvidia-cusolver-cu12      11.6.1.9                 pypi_0    pypi
[conda] nvidia-cusparse-cu12      12.3.1.170               pypi_0    pypi
[conda] nvidia-ml-py              12.560.30                pypi_0    pypi
[conda] nvidia-nccl-cu12          2.21.5                   pypi_0    pypi
[conda] nvidia-nvjitlink-cu12     12.4.127                 pypi_0    pypi
[conda] nvidia-nvtx-cu12          12.4.127                 pypi_0    pypi
[conda] pyzmq                     26.2.0                   pypi_0    pypi
[conda] torch                     2.5.1                    pypi_0    pypi
[conda] torchvision               0.20.1                   pypi_0    pypi
[conda] transformers              4.47.1                   pypi_0    pypi
[conda] triton                    3.1.0                    pypi_0    pypi
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.6.6.post2.dev73+geed11ebe
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0	NIC0	NIC1	NIC2	NIC3	NIC4	NIC5	NIC6	NIC7	NIC8	NIC9	NIC10	NIC11	CPU Affinity	NUMA Affinity	GPU NUMA ID
GPU0	 X 	NODE	NODE	NODE	PXB	NODE	NODE	SYS	SYS	SYS	SYS	SYS	SYS	14-27,126-139	0		N/A
NIC0	NODE	 X 	NODE	NODE	NODE	NODE	NODE	SYS	SYS	SYS	SYS	SYS	SYS
NIC1	NODE	NODE	 X 	PIX	NODE	NODE	NODE	SYS	SYS	SYS	SYS	SYS	SYS
NIC2	NODE	NODE	PIX	 X 	NODE	NODE	NODE	SYS	SYS	SYS	SYS	SYS	SYS
NIC3	PXB	NODE	NODE	NODE	 X 	NODE	NODE	SYS	SYS	SYS	SYS	SYS	SYS
NIC4	NODE	NODE	NODE	NODE	NODE	 X 	NODE	SYS	SYS	SYS	SYS	SYS	SYS
NIC5	NODE	NODE	NODE	NODE	NODE	NODE	 X 	SYS	SYS	SYS	SYS	SYS	SYS
NIC6	SYS	SYS	SYS	SYS	SYS	SYS	SYS	 X 	NODE	NODE	NODE	NODE	NODE
NIC7	SYS	SYS	SYS	SYS	SYS	SYS	SYS	NODE	 X 	PIX	NODE	NODE	NODE
NIC8	SYS	SYS	SYS	SYS	SYS	SYS	SYS	NODE	PIX	 X 	NODE	NODE	NODE
NIC9	SYS	SYS	SYS	SYS	SYS	SYS	SYS	NODE	NODE	NODE	 X 	NODE	NODE
NIC10	SYS	SYS	SYS	SYS	SYS	SYS	SYS	NODE	NODE	NODE	NODE	 X 	NODE
NIC11	SYS	SYS	SYS	SYS	SYS	SYS	SYS	NODE	NODE	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_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

LD_LIBRARY_PATH=/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/cv2/../../lib64:/cm/shared/apps/slurm/current/lib64/slurm:/cm/shared/apps/slurm/current/lib64:/usr/mpi/gcc/openmpi-4.1.7a1/lib
TORCH_HOME=/home/dyvm6xra/dyvm6xrauser04/lustre/.cache/torch
CUDA_VISIBLE_DEVICES=0
CUDA_VISIBLE_DEVICES=0
CUDA_MODULE_LOADING=LAZY

Model Input Dumps

No response

🐛 Describe the bug

showlab/ShowUI-2B is a GUI grounding model fine-tuned from Qwen/Qwen2-VL-2B.

I had no problem using this model with vllm serve until a recent PR merge #11717, which caused the server hosting to fail. The version before this PR merge is working fine.

Below is the error message when I try to run vllm serve showlab/ShowUI-2B.

INFO 01-06 15:35:04 api_server.py:764] vLLM API server version 0.6.6.post2.dev73+geed11ebe
INFO 01-06 15:35:04 api_server.py:765] args: Namespace(subparser='serve', model_tag='showlab/ShowUI-2B', config='', host=None, port=8000, uvicorn_log_level='info', allow_credentials=False, allowed_origins=['*'], allowed_methods=['*'], allowed_headers=['*'], api_key=None, lora_modules=None, prompt_adapters=None, chat_template=None, chat_template_content_format='auto', response_role='assistant', ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, ssl_cert_reqs=0, root_path=None, middleware=[], return_tokens_as_token_ids=False, disable_frontend_multiprocessing=False, enable_request_id_headers=False, enable_auto_tool_choice=False, tool_call_parser=None, tool_parser_plugin='', model='showlab/ShowUI-2B', task='auto', tokenizer=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=False, allowed_local_media_path=None, download_dir=None, load_format='auto', config_format=<ConfigFormat.AUTO: 'auto'>, dtype='auto', kv_cache_dtype='auto', quantization_param_path=None, max_model_len=None, guided_decoding_backend='xgrammar', logits_processor_pattern=None, distributed_executor_backend=None, worker_use_ray=False, pipeline_parallel_size=1, tensor_parallel_size=1, max_parallel_loading_workers=None, ray_workers_use_nsight=False, block_size=None, enable_prefix_caching=None, disable_sliding_window=False, use_v2_block_manager=True, num_lookahead_slots=0, seed=0, swap_space=4, cpu_offload_gb=0, gpu_memory_utilization=0.9, num_gpu_blocks_override=None, max_num_batched_tokens=None, max_num_seqs=None, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, hf_overrides=None, enforce_eager=False, max_seq_len_to_capture=8192, disable_custom_all_reduce=False, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config=None, limit_mm_per_prompt=None, mm_processor_kwargs=None, disable_mm_preprocessor_cache=False, enable_lora=False, enable_lora_bias=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', long_lora_scaling_factors=None, max_cpu_loras=None, fully_sharded_loras=False, enable_prompt_adapter=False, max_prompt_adapters=1, max_prompt_adapter_token=0, device='auto', num_scheduler_steps=1, multi_step_stream_outputs=True, scheduler_delay_factor=0.0, enable_chunked_prefill=None, speculative_model=None, speculative_model_quantization=None, num_speculative_tokens=None, speculative_disable_mqa_scorer=False, speculative_draft_tensor_parallel_size=None, speculative_max_model_len=None, speculative_disable_by_batch_size=None, ngram_prompt_lookup_max=None, ngram_prompt_lookup_min=None, spec_decoding_acceptance_method='rejection_sampler', typical_acceptance_sampler_posterior_threshold=None, typical_acceptance_sampler_posterior_alpha=None, disable_logprobs_during_spec_decoding=None, model_loader_extra_config=None, ignore_patterns=[], preemption_mode=None, served_model_name=None, qlora_adapter_name_or_path=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, scheduling_policy='fcfs', override_neuron_config=None, override_pooler_config=None, compilation_config=None, kv_transfer_config=None, worker_cls='auto', generation_config=None, disable_log_requests=False, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False, dispatch_function=<function serve at 0x15544093bf60>)
INFO 01-06 15:35:04 __init__.py:179] Automatically detected platform cuda.
INFO 01-06 15:35:05 api_server.py:194] Started engine process with PID 2203273
INFO 01-06 15:35:11 __init__.py:179] Automatically detected platform cuda.
INFO 01-06 15:35:14 config.py:517] This model supports multiple tasks: {'reward', 'classify', 'embed', 'score', 'generate'}. Defaulting to 'generate'.
INFO 01-06 15:35:20 config.py:517] This model supports multiple tasks: {'generate', 'embed', 'classify', 'reward', 'score'}. Defaulting to 'generate'.
INFO 01-06 15:35:20 llm_engine.py:234] Initializing an LLM engine (v0.6.6.post2.dev73+geed11ebe) with config: model='showlab/ShowUI-2B', speculative_config=None, tokenizer='showlab/ShowUI-2B', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, quantization_param_path=None, device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='xgrammar'), observability_config=ObservabilityConfig(otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=0, served_model_name=showlab/ShowUI-2B, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=False, chunked_prefill_enabled=False, use_async_output_proc=True, disable_mm_preprocessor_cache=False, mm_processor_kwargs=None, pooler_config=None, compilation_config={"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"candidate_compile_sizes":[],"compile_sizes":[],"capture_sizes":[256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"max_capture_size":256}, use_cached_outputs=True,
INFO 01-06 15:35:22 selector.py:120] Using Flash Attention backend.
INFO 01-06 15:35:22 model_runner.py:1094] Starting to load model showlab/ShowUI-2B...
WARNING 01-06 15:35:23 utils.py:624] Current `vllm-flash-attn` has a bug inside vision module, so we use xformers backend instead. You can run `pip install flash-attn` to use flash-attention backend.
INFO 01-06 15:35:23 weight_utils.py:251] Using model weights format ['*.bin']
Loading pt checkpoint shards:   0% Completed | 0/1 [00:00<?, ?it/s]
/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/model_executor/model_loader/weight_utils.py:450: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  state = torch.load(bin_file, map_location="cpu")
Loading pt checkpoint shards: 100% Completed | 1/1 [00:02<00:00,  2.61s/it]
Loading pt checkpoint shards: 100% Completed | 1/1 [00:02<00:00,  2.61s/it]

INFO 01-06 15:35:26 model_runner.py:1099] Loading model weights took 4.1273 GB
It looks like you are trying to rescale already rescaled images. If the input images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again.
ERROR 01-06 15:35:36 engine.py:366] Failed to apply Qwen2VLProcessor on data={'text': '<|image_pad|><|video_pad|>', 'images': [<PIL.Image.Image image mode=RGB size=3584x3584 at 0x1554325E3D10>], 'videos': [array([[[[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         ...,
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]        [[[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         ...,
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]        [[[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         ...,
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]]]])]} with kwargs={}
ERROR 01-06 15:35:36 engine.py:366] Traceback (most recent call last):
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/inputs/registry.py", line 160, in call_hf_processor
ERROR 01-06 15:35:36 engine.py:366]     return hf_processor(**data, **merged_kwargs, return_tensors="pt")
ERROR 01-06 15:35:36 engine.py:366]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/transformers/models/qwen2_vl/processing_qwen2_vl.py", line 124, in __call__
ERROR 01-06 15:35:36 engine.py:366]     videos_inputs = self.image_processor(images=None, videos=videos, **output_kwargs["videos_kwargs"])
ERROR 01-06 15:35:36 engine.py:366]                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/transformers/image_processing_utils.py", line 41, in __call__
ERROR 01-06 15:35:36 engine.py:366]     return self.preprocess(images, **kwargs)
ERROR 01-06 15:35:36 engine.py:366]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/transformers/models/qwen2_vl/image_processing_qwen2_vl.py", line 439, in preprocess
ERROR 01-06 15:35:36 engine.py:366]     patches, video_grid_thw = self._preprocess(
ERROR 01-06 15:35:36 engine.py:366]                               ^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/transformers/models/qwen2_vl/image_processing_qwen2_vl.py", line 299, in _preprocess
ERROR 01-06 15:35:36 engine.py:366]     patches = patches.reshape(
ERROR 01-06 15:35:36 engine.py:366]               ^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366] ValueError: cannot reshape array of size 115605504 into shape (1,2,3,128,2,14,128,2,14)
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366] The above exception was the direct cause of the following exception:
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366] Traceback (most recent call last):
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/multiprocessing/engine.py", line 357, in run_mp_engine
ERROR 01-06 15:35:36 engine.py:366]     engine = MQLLMEngine.from_engine_args(engine_args=engine_args,
ERROR 01-06 15:35:36 engine.py:366]              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/multiprocessing/engine.py", line 119, in from_engine_args
ERROR 01-06 15:35:36 engine.py:366]     return cls(ipc_path=ipc_path,
ERROR 01-06 15:35:36 engine.py:366]            ^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/multiprocessing/engine.py", line 71, in __init__
ERROR 01-06 15:35:36 engine.py:366]     self.engine = LLMEngine(*args, **kwargs)
ERROR 01-06 15:35:36 engine.py:366]                   ^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/llm_engine.py", line 276, in __init__
ERROR 01-06 15:35:36 engine.py:366]     self._initialize_kv_caches()
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/llm_engine.py", line 416, in _initialize_kv_caches
ERROR 01-06 15:35:36 engine.py:366]     self.model_executor.determine_num_available_blocks())
ERROR 01-06 15:35:36 engine.py:366]     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/executor/gpu_executor.py", line 68, in determine_num_available_blocks
ERROR 01-06 15:35:36 engine.py:366]     return self.driver_worker.determine_num_available_blocks()
ERROR 01-06 15:35:36 engine.py:366]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
ERROR 01-06 15:35:36 engine.py:366]     return func(*args, **kwargs)
ERROR 01-06 15:35:36 engine.py:366]            ^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/worker/worker.py", line 202, in determine_num_available_blocks
ERROR 01-06 15:35:36 engine.py:366]     self.model_runner.profile_run()
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
ERROR 01-06 15:35:36 engine.py:366]     return func(*args, **kwargs)
ERROR 01-06 15:35:36 engine.py:366]            ^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/worker/model_runner.py", line 1292, in profile_run
ERROR 01-06 15:35:36 engine.py:366]     .dummy_data_for_profiling(self.model_config,
ERROR 01-06 15:35:36 engine.py:366]      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/inputs/registry.py", line 334, in dummy_data_for_profiling
ERROR 01-06 15:35:36 engine.py:366]     dummy_data = processor.get_dummy_data(seq_len)
ERROR 01-06 15:35:36 engine.py:366]                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 1223, in get_dummy_data
ERROR 01-06 15:35:36 engine.py:366]     mm_inputs = self._get_dummy_mm_inputs(seq_len, mm_counts)
ERROR 01-06 15:35:36 engine.py:366]                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 1204, in _get_dummy_mm_inputs
ERROR 01-06 15:35:36 engine.py:366]     return self.apply(
ERROR 01-06 15:35:36 engine.py:366]            ^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 1060, in apply
ERROR 01-06 15:35:36 engine.py:366]     prompt_ids, mm_kwargs = self._cached_apply_hf_processor(
ERROR 01-06 15:35:36 engine.py:366]                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 855, in _cached_apply_hf_processor
ERROR 01-06 15:35:36 engine.py:366]     prompt_ids, mm_missing_kwargs = self._apply_hf_processor_missing(
ERROR 01-06 15:35:36 engine.py:366]                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 807, in _apply_hf_processor_missing
ERROR 01-06 15:35:36 engine.py:366]     _, mm_missing_kwargs = self._apply_hf_processor(
ERROR 01-06 15:35:36 engine.py:366]                            ^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 760, in _apply_hf_processor
ERROR 01-06 15:35:36 engine.py:366]     processed_data = self._call_hf_processor(
ERROR 01-06 15:35:36 engine.py:366]                      ^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 742, in _call_hf_processor
ERROR 01-06 15:35:36 engine.py:366]     return self.ctx.call_hf_processor(
ERROR 01-06 15:35:36 engine.py:366]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 01-06 15:35:36 engine.py:366]   File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/inputs/registry.py", line 165, in call_hf_processor
ERROR 01-06 15:35:36 engine.py:366]     raise RuntimeError(msg) from exc
ERROR 01-06 15:35:36 engine.py:366] RuntimeError: Failed to apply Qwen2VLProcessor on data={'text': '<|image_pad|><|video_pad|>', 'images': [<PIL.Image.Image image mode=RGB size=3584x3584 at 0x1554325E3D10>], 'videos': [array([[[[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         ...,
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]        [[[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         ...,
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]        [[[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         ...,
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]],
ERROR 01-06 15:35:36 engine.py:366]
ERROR 01-06 15:35:36 engine.py:366]         [[0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          ...,
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.],
ERROR 01-06 15:35:36 engine.py:366]          [0., 0., 0.]]]])]} with kwargs={}
Process SpawnProcess-1:
Traceback (most recent call last):
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/inputs/registry.py", line 160, in call_hf_processor
    return hf_processor(**data, **merged_kwargs, return_tensors="pt")
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/transformers/models/qwen2_vl/processing_qwen2_vl.py", line 124, in __call__
    videos_inputs = self.image_processor(images=None, videos=videos, **output_kwargs["videos_kwargs"])
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/transformers/image_processing_utils.py", line 41, in __call__
    return self.preprocess(images, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/transformers/models/qwen2_vl/image_processing_qwen2_vl.py", line 439, in preprocess
    patches, video_grid_thw = self._preprocess(
                              ^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/transformers/models/qwen2_vl/image_processing_qwen2_vl.py", line 299, in _preprocess
    patches = patches.reshape(
              ^^^^^^^^^^^^^^^^
ValueError: cannot reshape array of size 115605504 into shape (1,2,3,128,2,14,128,2,14)

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/multiprocessing/process.py", line 314, in _bootstrap
    self.run()
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/multiprocessing/process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/multiprocessing/engine.py", line 368, in run_mp_engine
    raise e
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/multiprocessing/engine.py", line 357, in run_mp_engine
    engine = MQLLMEngine.from_engine_args(engine_args=engine_args,
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/multiprocessing/engine.py", line 119, in from_engine_args
    return cls(ipc_path=ipc_path,
           ^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/multiprocessing/engine.py", line 71, in __init__
    self.engine = LLMEngine(*args, **kwargs)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/llm_engine.py", line 276, in __init__
    self._initialize_kv_caches()
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/llm_engine.py", line 416, in _initialize_kv_caches
    self.model_executor.determine_num_available_blocks())
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/executor/gpu_executor.py", line 68, in determine_num_available_blocks
    return self.driver_worker.determine_num_available_blocks()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/worker/worker.py", line 202, in determine_num_available_blocks
    self.model_runner.profile_run()
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/worker/model_runner.py", line 1292, in profile_run
    .dummy_data_for_profiling(self.model_config,
     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/inputs/registry.py", line 334, in dummy_data_for_profiling
    dummy_data = processor.get_dummy_data(seq_len)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 1223, in get_dummy_data
    mm_inputs = self._get_dummy_mm_inputs(seq_len, mm_counts)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 1204, in _get_dummy_mm_inputs
    return self.apply(
           ^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 1060, in apply
    prompt_ids, mm_kwargs = self._cached_apply_hf_processor(
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 855, in _cached_apply_hf_processor
    prompt_ids, mm_missing_kwargs = self._apply_hf_processor_missing(
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 807, in _apply_hf_processor_missing
    _, mm_missing_kwargs = self._apply_hf_processor(
                           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 760, in _apply_hf_processor
    processed_data = self._call_hf_processor(
                     ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/multimodal/processing.py", line 742, in _call_hf_processor
    return self.ctx.call_hf_processor(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/inputs/registry.py", line 165, in call_hf_processor
    raise RuntimeError(msg) from exc
RuntimeError: Failed to apply Qwen2VLProcessor on data={'text': '<|image_pad|><|video_pad|>', 'images': [<PIL.Image.Image image mode=RGB size=3584x3584 at 0x1554325E3D10>], 'videos': [array([[[[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        ...,

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]]],


       [[[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        ...,

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]]],


       [[[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        ...,

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]],

        [[0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.],
         ...,
         [0., 0., 0.],
         [0., 0., 0.],
         [0., 0., 0.]]]])]} with kwargs={}
[rank0]:[W106 15:35:37.341445505 ProcessGroupNCCL.cpp:1250] Warning: WARNING: process group has NOT been destroyed before we destruct ProcessGroupNCCL. On normal program exit, the application should call destroy_process_group to ensure that any pending NCCL operations have finished in this process. In rare cases this process can exit before this point and block the progress of another member of the process group. This constraint has always been present,  but this warning has only been added since PyTorch 2.4 (function operator())
Task exception was never retrieved
future: <Task finished name='Task-2' coro=<MQLLMEngineClient.run_output_handler_loop() done, defined at /scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/multiprocessing/client.py:178> exception=ZMQError('Operation not supported')>
Traceback (most recent call last):
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/multiprocessing/client.py", line 184, in run_output_handler_loop
    while await self.output_socket.poll(timeout=VLLM_RPC_TIMEOUT
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/zmq/_future.py", line 400, in poll
    raise _zmq.ZMQError(_zmq.ENOTSUP)
zmq.error.ZMQError: Operation not supported
Task exception was never retrieved
future: <Task finished name='Task-3' coro=<MQLLMEngineClient.run_output_handler_loop() done, defined at /scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/multiprocessing/client.py:178> exception=ZMQError('Operation not supported')>
Traceback (most recent call last):
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/engine/multiprocessing/client.py", line 184, in run_output_handler_loop
    while await self.output_socket.poll(timeout=VLLM_RPC_TIMEOUT
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/zmq/_future.py", line 400, in poll
    raise _zmq.ZMQError(_zmq.ENOTSUP)
zmq.error.ZMQError: Operation not supported
Traceback (most recent call last):
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/bin/vllm", line 8, in <module>
    sys.exit(main())
             ^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/scripts.py", line 201, in main
    args.dispatch_function(args)
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/scripts.py", line 42, in serve
    uvloop.run(run_server(args))
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/uvloop/__init__.py", line 109, in run
    return __asyncio.run(
           ^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/asyncio/runners.py", line 194, in run
    return runner.run(main)
           ^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/uvloop/__init__.py", line 61, in wrapper
    return await main
           ^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/entrypoints/openai/api_server.py", line 792, in run_server
    async with build_async_engine_client(args) as engine_client:
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/contextlib.py", line 210, in __aenter__
    return await anext(self.gen)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/entrypoints/openai/api_server.py", line 124, in build_async_engine_client
    async with build_async_engine_client_from_engine_args(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/contextlib.py", line 210, in __aenter__
    return await anext(self.gen)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/scratch/dyvm6xra/dyvm6xrauser04/miniforge3/envs/vllm_2/lib/python3.12/site-packages/vllm/entrypoints/openai/api_server.py", line 218, in build_async_engine_client_from_engine_args
    raise RuntimeError(
RuntimeError: Engine process failed to start. See stack trace for the root cause.

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@cynricfu cynricfu added the bug Something isn't working label Jan 6, 2025
@DarkLight1337
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Thanks for reporting! It should be fixed by #11746 already, can you pull from main again?

@cynricfu
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cynricfu commented Jan 6, 2025

Thanks for reporting! It should be fixed by #11746 already, can you pull from main again?

I have just tried the #11746 version. It seems working fine now. Thanks for your prompt reply!

@cynricfu cynricfu closed this as completed Jan 6, 2025
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