[Bug]: 'ActorHandle' object has no attribute 'decoding_config' when setting --engine-use-ray

[syGOAT]

Your current environment

PyTorch version: 2.2.1+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.5 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: version 3.29.2
Libc version: glibc-2.31

Python version: 3.10.14 (main, Mar 21 2024, 16:24:04) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-91-generic-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 12.2.140
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: 
GPU 0: NVIDIA L20
GPU 1: NVIDIA L20
GPU 2: NVIDIA L20
GPU 3: NVIDIA L20
GPU 4: NVIDIA L20
GPU 5: NVIDIA L20
GPU 6: NVIDIA L20
GPU 7: NVIDIA L20

Nvidia driver version: 550.54.14
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.6.0
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
Byte Order:                         Little Endian
Address sizes:                      52 bits physical, 57 bits virtual
CPU(s):                             180
On-line CPU(s) list:                0-179
Thread(s) per core:                 2
Core(s) per socket:                 45
Socket(s):                          2
NUMA node(s):                       2
Vendor ID:                          GenuineIntel
CPU family:                         6
Model:                              143
Model name:                         Intel(R) Xeon(R) Platinum 8457C
Stepping:                           8
CPU MHz:                            2600.000
BogoMIPS:                           5200.00
Hypervisor vendor:                  KVM
Virtualization type:                full
L1d cache:                          4.2 MiB
L1i cache:                          2.8 MiB
L2 cache:                           180 MiB
L3 cache:                           195 MiB
NUMA node0 CPU(s):                  0-89
NUMA node1 CPU(s):                  90-179
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:      Unknown: No mitigations
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:      Mitigation; TSX disabled
Flags:                              fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx_vnni avx512_bf16 wbnoinvd arat avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid cldemote movdiri movdir64b fsrm md_clear serialize tsxldtrk arch_lbr amx_bf16 avx512_fp16 amx_tile amx_int8 arch_capabilities

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] nvidia-nccl-cu12==2.19.3
[pip3] torch==2.2.1
[pip3] triton==2.2.0
[pip3] vllm-nccl-cu12==2.18.1.0.3.0
[conda] numpy                     1.26.4                   pypi_0    pypi
[conda] nvidia-nccl-cu12          2.19.3                   pypi_0    pypi
[conda] torch                     2.2.1                    pypi_0    pypi
[conda] triton                    2.2.0                    pypi_0    pypi
[conda] vllm-nccl-cu12            2.18.1.0.3.0             pypi_0    pypiROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.4.1
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    NIC0    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     0-89    0               N/A
GPU1    SYS      X      SYS     SYS     SYS     SYS     SYS     SYS     SYS     0-89    0               N/A
GPU2    SYS     SYS      X      SYS     SYS     SYS     SYS     SYS     SYS     0-89    0               N/A
GPU3    SYS     SYS     SYS      X      SYS     SYS     SYS     SYS     SYS     0-89    0               N/A
GPU4    SYS     SYS     SYS     SYS      X      SYS     SYS     SYS     SYS     90-179  1               N/A
GPU5    SYS     SYS     SYS     SYS     SYS      X      SYS     SYS     SYS     90-179  1               N/A
GPU6    SYS     SYS     SYS     SYS     SYS     SYS      X      SYS     SYS     90-179  1               N/A
GPU7    SYS     SYS     SYS     SYS     SYS     SYS     SYS      X      SYS     90-179  1               N/A
NIC0    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

🐛 Describe the bug

I used this command to run Meta-Llama-3-70B-Instruct:

python -m vllm.entrypoints.openai.api_server --model /root/autodl-tmp/model/Meta-Llama-3-70B-Instruct --tensor-paralle
l-size 4 --port 8000 --served-model-name gpt-4 --engine-use-ray

Server was started successfully:

# ..........
INFO:     Started server process [760244]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)

I requested the server with this body:

{
    "model": "gpt-4",
   "messages": [
    {
      "role": "system",
      "content": "Always response in Chinese, not English."
    },
    {
      "role": "user",
      "content": "在客厅，有一个盘子放在香蕉上面，把盘子带到餐厅，香蕉在哪里"
    }
  ],
    "max_tokens": 150
}

But I got an error from the vllm server:

INFO:     101.126.64.120:0 - "POST /v1/chat/completions HTTP/1.0" 500 Internal Server Error
ERROR:    Exception in ASGI application
Traceback (most recent call last):
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/uvicorn/protocols/http/httptools_impl.py", line 411, in run_asgi
    result = await app(  # type: ignore[func-returns-value]
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/uvicorn/middleware/proxy_headers.py", line 69, in __call__
    return await self.app(scope, receive, send)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/fastapi/applications.py", line 1054, in __call__
    await super().__call__(scope, receive, send)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/applications.py", line 123, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/middleware/errors.py", line 186, in __call__
    raise exc
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/middleware/errors.py", line 164, in __call__
    await self.app(scope, receive, _send)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/middleware/cors.py", line 85, in __call__
    await self.app(scope, receive, send)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/middleware/exceptions.py", line 65, in __call__
    await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
    raise exc
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
    await app(scope, receive, sender)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/routing.py", line 756, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/routing.py", line 776, in app
    await route.handle(scope, receive, send)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/routing.py", line 297, in handle
    await self.app(scope, receive, send)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/routing.py", line 77, in app
    await wrap_app_handling_exceptions(app, request)(scope, receive, send)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
    raise exc
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
    await app(scope, receive, sender)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/starlette/routing.py", line 72, in app
    response = await func(request)
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/fastapi/routing.py", line 278, in app
    raw_response = await run_endpoint_function(
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/fastapi/routing.py", line 191, in run_endpoint_function
    return await dependant.call(**values)
  File "/root/autodl-tmp/feng_workspace/vllm/vllm/entrypoints/openai/api_server.py", line 89, in create_chat_completion
    generator = await openai_serving_chat.create_chat_completion(
  File "/root/autodl-tmp/feng_workspace/vllm/vllm/entrypoints/openai/serving_chat.py", line 71, in create_chat_completion
    decoding_config = self.engine.engine.decoding_config
  File "/root/autodl-tmp/miniconda3/envs/vllm0.4/lib/python3.10/site-packages/ray/actor.py", line 1472, in __getattr__
    raise AttributeError(
AttributeError: 'ActorHandle' object has no attribute 'decoding_config'
INFO:     101.126.64.120:0 - "POST /v1/chat/completions HTTP/1.0" 500 Internal Server Error

It is sililary as #3517, but my vLLM version is 0.4.1+cu122, built from a37d815b83849b5a96a182929dd6f3bd35f68fb8. The issue probably could not be raised again.

[bks5881]

Same problem same version. #4291

[Uhao-P]

I encountered the same problem

[tachyean]

Same for me

[bks5881]

Although if i remove the argument --engine-use-ray, it works

[eliran89c]

Same issue, different model (I tried Mistral-7b and llama-8b)
The same client code works when running the model on a ray head node (no --engine-use-ray flag)