search

vllm-project / vllm

A high-throughput and memory-efficient inference and serving engine for LLMs
https://docs.vllm.ai
Apache License 2.0
27.21k stars 3.99k forks source link

[Bug]: TypeError: 'NoneType' object is not subscriptable RPCServer process died before responding to readiness probe #8732

Open vikyw89 opened 3 hours ago

vikyw89 commented 3 hours ago

Your current environment

The output of `python collect_env.py` ```text Collecting environment information... WARNING 09-23 09:07:16 _custom_ops.py:18] Failed to import from vllm._C with ImportError('libcuda.so.1: cannot open shared object file: No such file or directory') PyTorch version: 2.4.0+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A OS: Debian GNU/Linux 12 (bookworm) (x86_64) GCC version: Could not collect Clang version: Could not collect CMake version: Could not collect Libc version: glibc-2.36 Python version: 3.12.6 (main, Sep 12 2024, 21:12:08) [GCC 12.2.0] (64-bit runtime) Python platform: Linux-6.8.0-45-generic-x86_64-with-glibc2.36 Is CUDA available: False CUDA runtime version: No CUDA CUDA_MODULE_LOADING set to: N/A GPU models and configuration: No CUDA Nvidia driver version: No CUDA cuDNN version: No CUDA 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: 48 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 12 On-line CPU(s) list: 0-11 Vendor ID: AuthenticAMD Model name: AMD Ryzen 5 5600G with Radeon Graphics CPU family: 25 Model: 80 Thread(s) per core: 2 Core(s) per socket: 6 Socket(s): 1 Stepping: 0 CPU(s) scaling MHz: 79% CPU max MHz: 4464.0000 CPU min MHz: 400.0000 BogoMIPS: 7785.29 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk clzero irperf xsaveerptr rdpru wbnoinvd cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip pku ospke vaes vpclmulqdq rdpid overflow_recov succor smca fsrm debug_swap Virtualization: AMD-V L1d cache: 192 KiB (6 instances) L1i cache: 192 KiB (6 instances) L2 cache: 3 MiB (6 instances) L3 cache: 16 MiB (1 instance) NUMA node(s): 1 NUMA node0 CPU(s): 0-11 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 Reg file data sampling: Not affected Vulnerability Retbleed: Not affected Vulnerability Spec rstack overflow: Mitigation; Safe RET Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Retpolines; IBPB conditional; IBRS_FW; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected Versions of relevant libraries: [pip3] numpy==1.26.4 [pip3] nvidia-cublas-cu12==12.1.3.1 [pip3] nvidia-cuda-cupti-cu12==12.1.105 [pip3] nvidia-cuda-nvrtc-cu12==12.1.105 [pip3] nvidia-cuda-runtime-cu12==12.1.105 [pip3] nvidia-cudnn-cu12==9.1.0.70 [pip3] nvidia-cufft-cu12==11.0.2.54 [pip3] nvidia-curand-cu12==10.3.2.106 [pip3] nvidia-cusolver-cu12==11.4.5.107 [pip3] nvidia-cusparse-cu12==12.1.0.106 [pip3] nvidia-ml-py==12.560.30 [pip3] nvidia-nccl-cu12==2.20.5 [pip3] nvidia-nvjitlink-cu12==12.6.68 [pip3] nvidia-nvtx-cu12==12.1.105 [pip3] pyzmq==26.2.0 [pip3] torch==2.4.0 [pip3] torchvision==0.19.0 [pip3] transformers==4.44.2 [pip3] triton==3.0.0 [conda] Could not collect ROCM Version: Could not collect Neuron SDK Version: N/A vLLM Version: 0.6.1.post2@9ba0817ff1eb514f51cc6de9cb8e16c98d6ee44f vLLM Build Flags: CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled GPU Topology: Could not collect ```

Model Input Dumps

No response

🐛 Describe the bug

bug when following these steps

https://qwen.readthedocs.io/en/latest/deployment/vllm.html

i'm trying to run https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct


WARNING 09-23 09:11:27 _custom_ops.py:18] Failed to import from vllm._C with ImportError('libcuda.so.1: cannot open shared object file: No such file or directory')
INFO 09-23 09:11:29 api_server.py:495] vLLM API server version 0.6.1.post2
INFO 09-23 09:11:29 api_server.py:496] args: Namespace(model_tag='Qwen/Qwen2.5-0.5B-Instruct', 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, 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_auto_tool_choice=False, tool_call_parser=None, model='Qwen/Qwen2.5-0.5B-Instruct', tokenizer=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=False, download_dir=None, load_format='auto', config_format='auto', dtype='auto', kv_cache_dtype='auto', quantization_param_path=None, max_model_len=None, guided_decoding_backend='outlines', 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=16, enable_prefix_caching=False, disable_sliding_window=False, use_v2_block_manager=False, 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=256, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, enforce_eager=False, max_context_len_to_capture=None, 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, enable_lora=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, scheduler_delay_factor=0.0, enable_chunked_prefill=None, speculative_model=None, speculative_model_quantization=None, num_speculative_tokens=None, 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, override_neuron_config=None, disable_log_requests=False, max_log_len=None, dispatch_function=<function serve at 0x7df018bfc360>)
INFO 09-23 09:11:30 api_server.py:162] Multiprocessing frontend to use ipc:///tmp/e4ab6257-5657-4742-a71a-6e7bc4dce77f for RPC Path.
INFO 09-23 09:11:30 api_server.py:178] Started engine process with PID 303
WARNING 09-23 09:11:31 _custom_ops.py:18] Failed to import from vllm._C with ImportError('libcuda.so.1: cannot open shared object file: No such file or directory')
INFO 09-23 09:11:35 llm_engine.py:223] Initializing an LLM engine (v0.6.1.post2) with config: model='Qwen/Qwen2.5-0.5B-Instruct', speculative_config=None, tokenizer='Qwen/Qwen2.5-0.5B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, rope_scaling=None, rope_theta=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='outlines'), observability_config=ObservabilityConfig(otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=0, served_model_name=Qwen/Qwen2.5-0.5B-Instruct, use_v2_block_manager=False, num_scheduler_steps=1, enable_prefix_caching=False, use_async_output_proc=True)
Process SpawnProcess-1:
Traceback (most recent call last):
  File "/usr/local/lib/python3.12/multiprocessing/process.py", line 314, in _bootstrap
    self.run()
  File "/usr/local/lib/python3.12/multiprocessing/process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "/usr/local/lib/python3.12/site-packages/vllm/entrypoints/openai/rpc/server.py", line 236, in run_rpc_server
    server = AsyncEngineRPCServer(async_engine_args, usage_context, rpc_path)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/vllm/entrypoints/openai/rpc/server.py", line 34, in __init__
    self.engine = AsyncLLMEngine.from_engine_args(
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/vllm/engine/async_llm_engine.py", line 573, in from_engine_args
    engine = cls(
             ^^^^
  File "/usr/local/lib/python3.12/site-packages/vllm/engine/async_llm_engine.py", line 473, in __init__
    self.engine = self._engine_class(*args, **kwargs)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/vllm/engine/async_llm_engine.py", line 257, in __init__
    super().__init__(*args, **kwargs)
  File "/usr/local/lib/python3.12/site-packages/vllm/engine/llm_engine.py", line 317, in __init__
    self.model_executor = executor_class(
                          ^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/vllm/executor/executor_base.py", line 47, in __init__
    self._init_executor()
  File "/usr/local/lib/python3.12/site-packages/vllm/executor/gpu_executor.py", line 38, in _init_executor
    self.driver_worker = self._create_worker()
                         ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/vllm/executor/gpu_executor.py", line 105, in _create_worker
    return create_worker(**self._get_create_worker_kwargs(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/vllm/executor/gpu_executor.py", line 24, in create_worker
    wrapper.init_worker(**kwargs)
  File "/usr/local/lib/python3.12/site-packages/vllm/worker/worker_base.py", line 449, in init_worker
    self.worker = worker_class(*args, **kwargs)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/vllm/worker/worker.py", line 99, in __init__
    self.model_runner: GPUModelRunnerBase = ModelRunnerClass(
                                            ^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/vllm/worker/model_runner.py", line 960, in __init__
    self.attn_backend = get_attn_backend(
                        ^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/vllm/attention/selector.py", line 108, in get_attn_backend
    backend = which_attn_to_use(num_heads, head_size, num_kv_heads,
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/vllm/attention/selector.py", line 215, in which_attn_to_use
    if current_platform.get_device_capability()[0] < 8:
       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^
TypeError: 'NoneType' object is not subscriptable
ERROR 09-23 09:11:40 api_server.py:188] RPCServer process died before responding to readiness probe```

### Before submitting a new issue...

- [X] Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the [documentation page](https://docs.vllm.ai/en/latest/), which can answer lots of frequently asked questions.
DarkLight1337 commented 1 hour ago

Does this still happen on main branch? It should have been fixed by #8534.

vikyw89 commented 1 hour ago

Is this main branch ?

pip install vllm

DarkLight1337 commented 1 hour ago

No, please read the docs about installing vLLM from source.

DarkLight1337 commented 1 hour ago

The vllm package on PyPI only includes stable versions of vLLM (the most recent one being v0.6.2.post1), which is older than the development version that you can get directly from main branch.