[Bug]: Engine iteration timed out. This should never happen occurred when vllm 0.4.1 deployed llama3.

[blackblue9]

Your current environment

Collecting environment information...
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 20.04.4 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: 3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-4.18.0-193.14.2.el8_2.x86_64-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 A800-SXM4-80GB
GPU 1: NVIDIA A800-SXM4-80GB
GPU 2: NVIDIA A800-SXM4-80GB
GPU 3: NVIDIA A800-SXM4-80GB

Nvidia driver version: 535.104.12
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.4.0
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:                   46 bits physical, 57 bits virtual
CPU(s):                          128
On-line CPU(s) list:             0-127
Thread(s) per core:              2
Core(s) per socket:              32
Socket(s):                       2
NUMA node(s):                    2
Vendor ID:                       GenuineIntel
CPU family:                      6
Model:                           106
Model name:                      Intel(R) Xeon(R) Platinum 8378A CPU @ 3.00GHz
Stepping:                        6
Frequency boost:                 enabled
CPU MHz:                         3500.000
CPU max MHz:                     3500.0000
CPU min MHz:                     800.0000
BogoMIPS:                        6000.00
Virtualization:                  VT-x
L1d cache:                       3 MiB
L1i cache:                       2 MiB
L2 cache:                        80 MiB
L3 cache:                        96 MiB
NUMA node0 CPU(s):               0-31,64-95
NUMA node1 CPU(s):               32-63,96-127
Vulnerability Itlb multihit:     Not affected
Vulnerability L1tf:              Not affected
Vulnerability Mds:               Not affected
Vulnerability Meltdown:          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
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Not affected
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 pni pclmulqdq dtes64 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 invpcid_single ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm 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 wbnoinvd dtherm ida arat pln pts avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid md_clear pconfig flush_l1d 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==2.18.1.0.2.0
[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            2.18.1.0.2.0             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    NIC0    NIC1    NIC2    NIC3    NIC4    NIC5    NIC6    NIC7    NIC8    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      NV8     NV8     NV8     SYS     SYS     SYS     SYS     SYS     SYS     SYS     PXB     NODE    32-63,96-127    1               N/A
GPU1    NV8      X      NV8     NV8     SYS     SYS     SYS     SYS     SYS     SYS     SYS     PXB     NODE    32-63,96-127    1               N/A
GPU2    NV8     NV8      X      NV8     SYS     SYS     SYS     SYS     SYS     SYS     SYS     NODE    PXB     32-63,96-127    1               N/A
GPU3    NV8     NV8     NV8      X      SYS     SYS     SYS     SYS     SYS     SYS     SYS     NODE    PXB     32-63,96-127    1               N/A
NIC0    SYS     SYS     SYS     SYS      X      PIX     PIX     NODE    NODE    NODE    NODE    SYS     SYS
NIC1    SYS     SYS     SYS     SYS     PIX      X      PIX     NODE    NODE    NODE    NODE    SYS     SYS
NIC2    SYS     SYS     SYS     SYS     PIX     PIX      X      NODE    NODE    NODE    NODE    SYS     SYS
NIC3    SYS     SYS     SYS     SYS     NODE    NODE    NODE     X      PIX     NODE    NODE    SYS     SYS
NIC4    SYS     SYS     SYS     SYS     NODE    NODE    NODE    PIX      X      NODE    NODE    SYS     SYS
NIC5    SYS     SYS     SYS     SYS     NODE    NODE    NODE    NODE    NODE     X      PIX     SYS     SYS
NIC6    SYS     SYS     SYS     SYS     NODE    NODE    NODE    NODE    NODE    PIX      X      SYS     SYS
NIC7    PXB     PXB     NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS     SYS      X      NODE
NIC8    NODE    NODE    PXB     PXB     SYS     SYS     SYS     SYS     SYS     SYS     SYS     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

🐛 Describe the bug

I'm doing this via python -m vllm.entrypoints.openai.api_server --port 7801 --host 0.0.0.0 --model /mnt/model/llama3-70B-instruct --served-model-name vllm_llama3_70B_instruct --tensor-parallel- size 4 --trust-remote-code After deploying llama3, we started to perform performance tests on the model concurrently. The model could reply normally at the beginning, but about 10 minutes into the test, vllm reported the following error (I installed vllm through the source code 0.4.1):

`
RROR 04-23 16:19:04 async_llm_engine.py:499] Engine iteration timed out. This should never happen!
ERROR 04-23 16:19:04 async_llm_engine.py:43] Engine background task failed
ERROR 04-23 16:19:04 async_llm_engine.py:43] Traceback (most recent call last):
ERROR 04-23 16:19:04 async_llm_engine.py:43] File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 470, in engine_step
ERROR 04-23 16:19:04 async_llm_engine.py:43] request_outputs = await self.engine.step_async()
ERROR 04-23 16:19:04 async_llm_engine.py:43] File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 213, in step_async
ERROR 04-23 16:19:04 async_llm_engine.py:43] output = await self.model_executor.execute_model_async(
ERROR 04-23 16:19:04 async_llm_engine.py:43] File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/executor/ray_gpu_executor.py", line 424, in execute_model_async
ERROR 04-23 16:19:04 async_llm_engine.py:43] all_outputs = await self._run_workers_async(
ERROR 04-23 16:19:04 async_llm_engine.py:43] File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/executor/ray_gpu_executor.py", line 414, in _run_workers_async
ERROR 04-23 16:19:04 async_llm_engine.py:43] all_outputs = await asyncio.gather(*coros)
ERROR 04-23 16:19:04 async_llm_engine.py:43] asyncio.exceptions.CancelledError
ERROR 04-23 16:19:04 async_llm_engine.py:43]
ERROR 04-23 16:19:04 async_llm_engine.py:43] During handling of the above exception, another exception occurred:
ERROR 04-23 16:19:04 async_llm_engine.py:43]
ERROR 04-23 16:19:04 async_llm_engine.py:43] Traceback (most recent call last):
ERROR 04-23 16:19:04 async_llm_engine.py:43] File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/asyncio/tasks.py", line 456, in wait_for
ERROR 04-23 16:19:04 async_llm_engine.py:43] return fut.result()
ERROR 04-23 16:19:04 async_llm_engine.py:43] asyncio.exceptions.CancelledError
ERROR 04-23 16:19:04 async_llm_engine.py:43]
ERROR 04-23 16:19:04 async_llm_engine.py:43] The above exception was the direct cause of the following exception:
ERROR 04-23 16:19:04 async_llm_engine.py:43]
ERROR 04-23 16:19:04 async_llm_engine.py:43] Traceback (most recent call last):
ERROR 04-23 16:19:04 async_llm_engine.py:43] File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 38, in _raise_exception_on_finish
ERROR 04-23 16:19:04 async_llm_engine.py:43] task.result()
ERROR 04-23 16:19:04 async_llm_engine.py:43] File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 496, in run_engine_loop
ERROR 04-23 16:19:04 async_llm_engine.py:43] has_requests_in_progress = await asyncio.wait_for(
ERROR 04-23 16:19:04 async_llm_engine.py:43] File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/asyncio/tasks.py", line 458, in wait_for
ERROR 04-23 16:19:04 async_llm_engine.py:43] raise exceptions.TimeoutError() from exc
ERROR 04-23 16:19:04 async_llm_engine.py:43] asyncio.exceptions.TimeoutError
ERROR:asyncio:Exception in callback functools.partial(<function _raise_exception_on_finish at 0x7f4124ad08b0>, error_callback=<bound method AsyncLLMEngine._error_callback of <vllm.engine.async_llm_engine.AsyncLLMEngine object at 0x7f412c39bac0>>)
handle: <Handle functools.partial(<function _raise_exception_on_finish at 0x7f4124ad08b0>, error_callback=<bound method AsyncLLMEngine._error_callback of <vllm.engine.async_llm_engine.AsyncLLMEngine object at 0x7f412c39bac0>>)>
Traceback (most recent call last):
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 470, in engine_step
request_outputs = await self.engine.step_async()
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 213, in step_async
output = await self.model_executor.execute_model_async(
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/executor/ray_gpu_executor.py", line 424, in execute_model_async
all_outputs = await self._run_workers_async(
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/executor/ray_gpu_executor.py", line 414, in _run_workers_async
all_outputs = await asyncio.gather(*coros)
asyncio.exceptions.CancelledError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/asyncio/tasks.py", line 456, in wait_for
return fut.result()
asyncio.exceptions.CancelledError

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

Traceback (most recent call last):
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 38, in _raise_exception_on_finish
task.result()
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 496, in run_engine_loop
has_requests_in_progress = await asyncio.wait_for(
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/asyncio/tasks.py", line 458, in wait_for
raise exceptions.TimeoutError() from exc
asyncio.exceptions.TimeoutError

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

Traceback (most recent call last):
File "uvloop/cbhandles.pyx", line 63, in uvloop.loop.Handle._run
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 45, in _raise_exception_on_finish
raise AsyncEngineDeadError(
vllm.engine.async_llm_engine.AsyncEngineDeadError: Task finished unexpectedly. This should never happen! Please open an issue on Github. See stack trace above for the actual cause.
INFO 04-23 16:19:04 async_llm_engine.py:154] Aborted request cmpl-cb9ae6d5b74b48a28f23d9f4c323a104.
ERROR: Exception in ASGI application
Traceback (most recent call last):
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 470, in engine_step
request_outputs = await self.engine.step_async()
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 213, in step_async
output = await self.model_executor.execute_model_async(
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/executor/ray_gpu_executor.py", line 424, in execute_model_async
all_outputs = await self._run_workers_async(
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/executor/ray_gpu_executor.py", line 414, in _run_workers_async
all_outputs = await asyncio.gather(*coros)
asyncio.exceptions.CancelledError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/asyncio/tasks.py", line 456, in wait_for
return fut.result()
asyncio.exceptions.CancelledError

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

Traceback (most recent call last):
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/uvicorn/protocols/http/httptools_impl.py", line 419, in run_asgi
result = await app( # type: ignore[func-returns-value]
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/uvicorn/middleware/proxy_headers.py", line 84, in call
return await self.app(scope, receive, send)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/fastapi/applications.py", line 1054, in call
await super().call(scope, receive, send)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/applications.py", line 123, in call
await self.middleware_stack(scope, receive, send)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/middleware/errors.py", line 186, in call
raise exc
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/middleware/errors.py", line 164, in call
await self.app(scope, receive, _send)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/middleware/cors.py", line 83, in call
await self.app(scope, receive, send)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/middleware/exceptions.py", line 62, in call
await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
raise exc
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
await app(scope, receive, sender)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/routing.py", line 758, in call
await self.middleware_stack(scope, receive, send)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/routing.py", line 778, in app
await route.handle(scope, receive, send)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/routing.py", line 299, in handle
await self.app(scope, receive, send)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/routing.py", line 79, in app
await wrap_app_handling_exceptions(app, request)(scope, receive, send)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
raise exc
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
await app(scope, receive, sender)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/starlette/routing.py", line 74, in app
response = await func(request)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/fastapi/routing.py", line 299, in app
raise e
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/fastapi/routing.py", line 294, in app
raw_response = await run_endpoint_function(
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/fastapi/routing.py", line 191, in run_endpoint_function
return await dependant.call(**values)
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 89, in create_chat_completion
generator = await openai_serving_chat.create_chat_completion(
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/entrypoints/openai/serving_chat.py", line 95, in create_chat_completion
return await self.chat_completion_full_generator(
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/entrypoints/openai/serving_chat.py", line 258, in chat_completion_full_generator
async for res in result_generator:
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 661, in generate
raise e
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 655, in generate
async for request_output in stream:
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 77, in anext
raise result
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 38, in _raise_exception_on_finish
task.result()
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 496, in run_engine_loop
has_requests_in_progress = await asyncio.wait_for(
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/asyncio/tasks.py", line 458, in wait_for
raise exceptions.TimeoutError() from exc
asyncio.exceptions.TimeoutError
INFO 04-23 16:19:04 async_llm_engine.py:154] Aborted request cmpl-ca47d0961c59407ab90792f513566cbd.
ERROR: Exception in ASGI application
Traceback (most recent call last):
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 470, in engine_step
request_outputs = await self.engine.step_async()
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 213, in step_async
output = await self.model_executor.execute_model_async(
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/executor/ray_gpu_executor.py", line 424, in execute_model_async
all_outputs = await self._run_workers_async(
File "/usr/local/miniconda3/envs/vllm_llama3/lib/python3.10/site-packages/vllm/executor/ray_gpu_executor.py", line 414, in _run_workers_async
all_outputs = await asyncio.gather(*coros)
asyncio.exceptions.CancelledError

`

How should I solve this problem? ?

[supdizh]

looks like the same issue with #4135
emerged after 0.4.0

[JPonsa]

Having the same error with Mixtral-8x7B-Instruct-v0.1-GPTQ and tensor_parallel_size=2

INFO 04-25 09:50:28 api_server.py:149] vLLM API server version 0.4.0.post1
INFO 04-25 09:50:28 api_server.py:150] args: Namespace(host=None, port=8001, uvicorn_log_level='info', allow_credentials=False, allowed_origins=['*'], allowed_methods=['*'], allowed_headers=['*'], api_key=None, served_model_name=None, lora_modules=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=[], model='TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ', tokenizer=None, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=False, download_dir=None, load_format='auto', dtype='half', kv_cache_dtype='auto', max_model_len=5000, worker_use_ray=False, pipeline_parallel_size=1, tensor_parallel_size=2, max_parallel_loading_workers=None, ray_workers_use_nsight=False, block_size=16, enable_prefix_caching=False, use_v2_block_manager=False, num_lookahead_slots=0, seed=0, swap_space=4, gpu_memory_utilization=0.8, forced_num_gpu_blocks=None, max_num_batched_tokens=None, max_num_seqs=256, max_logprobs=5, disable_log_stats=False, quantization='gptq', enforce_eager=True, max_context_len_to_capture=8192, disable_custom_all_reduce=False, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config=None, enable_lora=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', max_cpu_loras=None, device='auto', image_input_type=None, image_token_id=None, image_input_shape=None, image_feature_size=None, scheduler_delay_factor=0.0, enable_chunked_prefill=False, engine_use_ray=False, disable_log_requests=False, max_log_len=None)
WARNING 04-25 09:50:29 config.py:767] Casting torch.bfloat16 to torch.float16.
WARNING 04-25 09:50:29 config.py:211] gptq quantization is not fully optimized yet. The speed can be slower than non-quantized models.
INFO 04-25 09:51:01 llm_engine.py:74] Initializing an LLM engine (v0.4.0.post1) with config: model='TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ', tokenizer='TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ', tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=5000, download_dir=None, load_format=auto, tensor_parallel_size=2, disable_custom_all_reduce=False, quantization=gptq, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, seed=0)
INFO 04-25 09:51:20 selector.py:40] Cannot use FlashAttention backend for Volta and Turing GPUs.
INFO 04-25 09:51:20 selector.py:25] Using XFormers backend.
�[36m(RayWorkerVllm pid=233183)�[0m INFO 04-25 09:51:21 selector.py:40] Cannot use FlashAttention backend for Volta and Turing GPUs.
�[36m(RayWorkerVllm pid=233183)�[0m INFO 04-25 09:51:21 selector.py:25] Using XFormers backend.
INFO 04-25 09:51:33 pynccl_utils.py:45] vLLM is using nccl==2.18.1
�[36m(RayWorkerVllm pid=233183)�[0m INFO 04-25 09:51:33 pynccl_utils.py:45] vLLM is using nccl==2.18.1
INFO 04-25 09:52:18 custom_all_reduce.py:137] NVLink detection failed with message "Not Supported". This is normal if your machine has no NVLink equipped
�[36m(RayWorkerVllm pid=233183)�[0m INFO 04-25 09:52:18 custom_all_reduce.py:137] NVLink detection failed with message "Not Supported". This is normal if your machine has no NVLink equipped
INFO 04-25 09:52:23 weight_utils.py:177] Using model weights format ['*.safetensors']
�[36m(RayWorkerVllm pid=233183)�[0m INFO 04-25 09:52:24 weight_utils.py:177] Using model weights format ['*.safetensors']
INFO 04-25 09:53:12 model_runner.py:104] Loading model weights took 11.0906 GB
I am awake
   time         mem   processes  process usage
  (secs)        (MB)  tot  actv  (sorted, %CPU)
�[36m(RayWorkerVllm pid=233183)�[0m INFO 04-25 09:53:12 model_runner.py:104] Loading model weights took 11.0906 GB
INFO 04-25 09:54:42 ray_gpu_executor.py:240] # GPU blocks: 12524, # CPU blocks: 4096

Exception in callback functools.partial(<function _raise_exception_on_finish at 0x2aad73314ae0>, error_callback=<bound method AsyncLLMEngine._error_callback of <vllm.engine.async_llm_engine.AsyncLLMEngine object at 0x2aad836e63d0>>)
handle: <Handle functools.partial(<function _raise_exception_on_finish at 0x2aad73314ae0>, error_callback=<bound method AsyncLLMEngine._error_callback of <vllm.engine.async_llm_engine.AsyncLLMEngine object at 0x2aad836e63d0>>)>
Traceback (most recent call last):
  File "/shared/ucl/apps/python/3.11.3/gnu-4.9.2/lib/python3.11/asyncio/tasks.py", line 490, in wait_for
    return fut.result()
           ^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 454, in engine_step
    request_outputs = await self.engine.step_async()
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 213, in step_async
    output = await self.model_executor.execute_model_async(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/executor/ray_gpu_executor.py", line 418, in execute_model_async
    all_outputs = await self._run_workers_async(
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/executor/ray_gpu_executor.py", line 408, in _run_workers_async
    all_outputs = await asyncio.gather(*coros)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
asyncio.exceptions.CancelledError

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

Traceback (most recent call last):
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 38, in _raise_exception_on_finish
    task.result()
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 480, in run_engine_loop
    has_requests_in_progress = await asyncio.wait_for(
                               ^^^^^^^^^^^^^^^^^^^^^^^
  File "/shared/ucl/apps/python/3.11.3/gnu-4.9.2/lib/python3.11/asyncio/tasks.py", line 492, in wait_for
    raise exceptions.TimeoutError() from exc
TimeoutError

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

Traceback (most recent call last):
  File "uvloop/cbhandles.pyx", line 63, in uvloop.loop.Handle._run
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 45, in _raise_exception_on_finish
    raise AsyncEngineDeadError(
vllm.engine.async_llm_engine.AsyncEngineDeadError: Task finished unexpectedly. This should never happen! Please open an issue on Github. See stack trace above for the actual cause.
ERROR:    Exception in ASGI application
Traceback (most recent call last):
  File "/shared/ucl/apps/python/3.11.3/gnu-4.9.2/lib/python3.11/asyncio/tasks.py", line 490, in wait_for
    return fut.result()
           ^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 454, in engine_step
    request_outputs = await self.engine.step_async()
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 213, in step_async
    output = await self.model_executor.execute_model_async(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/executor/ray_gpu_executor.py", line 418, in execute_model_async
    all_outputs = await self._run_workers_async(
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/executor/ray_gpu_executor.py", line 408, in _run_workers_async
    all_outputs = await asyncio.gather(*coros)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
asyncio.exceptions.CancelledError

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

Traceback (most recent call last):
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/uvicorn/protocols/http/httptools_impl.py", line 411, in run_asgi
    result = await app(  # type: ignore[func-returns-value]
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/uvicorn/middleware/proxy_headers.py", line 69, in __call__
    return await self.app(scope, receive, send)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/fastapi/applications.py", line 1054, in __call__
    await super().__call__(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/applications.py", line 123, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/middleware/errors.py", line 186, in __call__
    raise exc
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/middleware/errors.py", line 164, in __call__
    await self.app(scope, receive, _send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/middleware/cors.py", line 85, in __call__
    await self.app(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/middleware/exceptions.py", line 65, in __call__
    await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
    raise exc
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
    await app(scope, receive, sender)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/routing.py", line 756, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/routing.py", line 776, in app
    await route.handle(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/routing.py", line 297, in handle
    await self.app(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/routing.py", line 77, in app
    await wrap_app_handling_exceptions(app, request)(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
    raise exc
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
    await app(scope, receive, sender)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/routing.py", line 72, in app
    response = await func(request)
               ^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/fastapi/routing.py", line 278, in app
    raw_response = await run_endpoint_function(
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/fastapi/routing.py", line 191, in run_endpoint_function
    return await dependant.call(**values)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 103, in create_completion
    generator = await openai_serving_completion.create_completion(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/entrypoints/openai/serving_completion.py", line 178, in create_completion
    async for i, res in result_generator:
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/entrypoints/openai/serving_completion.py", line 81, in consumer
    raise item
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/entrypoints/openai/serving_completion.py", line 66, in producer
    async for item in iterator:
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 644, in generate
    raise e
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 638, in generate
    async for request_output in stream:
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 77, in __anext__
    raise result
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 38, in _raise_exception_on_finish
    task.result()
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 480, in run_engine_loop
    has_requests_in_progress = await asyncio.wait_for(
                               ^^^^^^^^^^^^^^^^^^^^^^^
  File "/shared/ucl/apps/python/3.11.3/gnu-4.9.2/lib/python3.11/asyncio/tasks.py", line 492, in wait_for
    raise exceptions.TimeoutError() from exc
TimeoutError

[ericzhou571]

Having the same error with Mixtral-8x7B-Instruct-v0.1-GPTQ and tensor_parallel_size=2

INFO 04-25 09:50:28 api_server.py:149] vLLM API server version 0.4.0.post1
INFO 04-25 09:50:28 api_server.py:150] args: Namespace(host=None, port=8001, uvicorn_log_level='info', allow_credentials=False, allowed_origins=['*'], allowed_methods=['*'], allowed_headers=['*'], api_key=None, served_model_name=None, lora_modules=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=[], model='TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ', tokenizer=None, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=False, download_dir=None, load_format='auto', dtype='half', kv_cache_dtype='auto', max_model_len=5000, worker_use_ray=False, pipeline_parallel_size=1, tensor_parallel_size=2, max_parallel_loading_workers=None, ray_workers_use_nsight=False, block_size=16, enable_prefix_caching=False, use_v2_block_manager=False, num_lookahead_slots=0, seed=0, swap_space=4, gpu_memory_utilization=0.8, forced_num_gpu_blocks=None, max_num_batched_tokens=None, max_num_seqs=256, max_logprobs=5, disable_log_stats=False, quantization='gptq', enforce_eager=True, max_context_len_to_capture=8192, disable_custom_all_reduce=False, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config=None, enable_lora=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', max_cpu_loras=None, device='auto', image_input_type=None, image_token_id=None, image_input_shape=None, image_feature_size=None, scheduler_delay_factor=0.0, enable_chunked_prefill=False, engine_use_ray=False, disable_log_requests=False, max_log_len=None)
WARNING 04-25 09:50:29 config.py:767] Casting torch.bfloat16 to torch.float16.
WARNING 04-25 09:50:29 config.py:211] gptq quantization is not fully optimized yet. The speed can be slower than non-quantized models.
INFO 04-25 09:51:01 llm_engine.py:74] Initializing an LLM engine (v0.4.0.post1) with config: model='TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ', tokenizer='TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ', tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=5000, download_dir=None, load_format=auto, tensor_parallel_size=2, disable_custom_all_reduce=False, quantization=gptq, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, seed=0)
INFO 04-25 09:51:20 selector.py:40] Cannot use FlashAttention backend for Volta and Turing GPUs.
INFO 04-25 09:51:20 selector.py:25] Using XFormers backend.
�[36m(RayWorkerVllm pid=233183)�[0m INFO 04-25 09:51:21 selector.py:40] Cannot use FlashAttention backend for Volta and Turing GPUs.
�[36m(RayWorkerVllm pid=233183)�[0m INFO 04-25 09:51:21 selector.py:25] Using XFormers backend.
INFO 04-25 09:51:33 pynccl_utils.py:45] vLLM is using nccl==2.18.1
�[36m(RayWorkerVllm pid=233183)�[0m INFO 04-25 09:51:33 pynccl_utils.py:45] vLLM is using nccl==2.18.1
INFO 04-25 09:52:18 custom_all_reduce.py:137] NVLink detection failed with message "Not Supported". This is normal if your machine has no NVLink equipped
�[36m(RayWorkerVllm pid=233183)�[0m INFO 04-25 09:52:18 custom_all_reduce.py:137] NVLink detection failed with message "Not Supported". This is normal if your machine has no NVLink equipped
INFO 04-25 09:52:23 weight_utils.py:177] Using model weights format ['*.safetensors']
�[36m(RayWorkerVllm pid=233183)�[0m INFO 04-25 09:52:24 weight_utils.py:177] Using model weights format ['*.safetensors']
INFO 04-25 09:53:12 model_runner.py:104] Loading model weights took 11.0906 GB
I am awake
   time         mem   processes  process usage
  (secs)        (MB)  tot  actv  (sorted, %CPU)
�[36m(RayWorkerVllm pid=233183)�[0m INFO 04-25 09:53:12 model_runner.py:104] Loading model weights took 11.0906 GB
INFO 04-25 09:54:42 ray_gpu_executor.py:240] # GPU blocks: 12524, # CPU blocks: 4096

Exception in callback functools.partial(<function _raise_exception_on_finish at 0x2aad73314ae0>, error_callback=<bound method AsyncLLMEngine._error_callback of <vllm.engine.async_llm_engine.AsyncLLMEngine object at 0x2aad836e63d0>>)
handle: <Handle functools.partial(<function _raise_exception_on_finish at 0x2aad73314ae0>, error_callback=<bound method AsyncLLMEngine._error_callback of <vllm.engine.async_llm_engine.AsyncLLMEngine object at 0x2aad836e63d0>>)>
Traceback (most recent call last):
  File "/shared/ucl/apps/python/3.11.3/gnu-4.9.2/lib/python3.11/asyncio/tasks.py", line 490, in wait_for
    return fut.result()
           ^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 454, in engine_step
    request_outputs = await self.engine.step_async()
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 213, in step_async
    output = await self.model_executor.execute_model_async(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/executor/ray_gpu_executor.py", line 418, in execute_model_async
    all_outputs = await self._run_workers_async(
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/executor/ray_gpu_executor.py", line 408, in _run_workers_async
    all_outputs = await asyncio.gather(*coros)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
asyncio.exceptions.CancelledError

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

Traceback (most recent call last):
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 38, in _raise_exception_on_finish
    task.result()
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 480, in run_engine_loop
    has_requests_in_progress = await asyncio.wait_for(
                               ^^^^^^^^^^^^^^^^^^^^^^^
  File "/shared/ucl/apps/python/3.11.3/gnu-4.9.2/lib/python3.11/asyncio/tasks.py", line 492, in wait_for
    raise exceptions.TimeoutError() from exc
TimeoutError

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

Traceback (most recent call last):
  File "uvloop/cbhandles.pyx", line 63, in uvloop.loop.Handle._run
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 45, in _raise_exception_on_finish
    raise AsyncEngineDeadError(
vllm.engine.async_llm_engine.AsyncEngineDeadError: Task finished unexpectedly. This should never happen! Please open an issue on Github. See stack trace above for the actual cause.
ERROR:    Exception in ASGI application
Traceback (most recent call last):
  File "/shared/ucl/apps/python/3.11.3/gnu-4.9.2/lib/python3.11/asyncio/tasks.py", line 490, in wait_for
    return fut.result()
           ^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 454, in engine_step
    request_outputs = await self.engine.step_async()
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 213, in step_async
    output = await self.model_executor.execute_model_async(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/executor/ray_gpu_executor.py", line 418, in execute_model_async
    all_outputs = await self._run_workers_async(
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/executor/ray_gpu_executor.py", line 408, in _run_workers_async
    all_outputs = await asyncio.gather(*coros)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
asyncio.exceptions.CancelledError

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

Traceback (most recent call last):
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/uvicorn/protocols/http/httptools_impl.py", line 411, in run_asgi
    result = await app(  # type: ignore[func-returns-value]
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/uvicorn/middleware/proxy_headers.py", line 69, in __call__
    return await self.app(scope, receive, send)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/fastapi/applications.py", line 1054, in __call__
    await super().__call__(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/applications.py", line 123, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/middleware/errors.py", line 186, in __call__
    raise exc
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/middleware/errors.py", line 164, in __call__
    await self.app(scope, receive, _send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/middleware/cors.py", line 85, in __call__
    await self.app(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/middleware/exceptions.py", line 65, in __call__
    await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
    raise exc
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
    await app(scope, receive, sender)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/routing.py", line 756, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/routing.py", line 776, in app
    await route.handle(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/routing.py", line 297, in handle
    await self.app(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/routing.py", line 77, in app
    await wrap_app_handling_exceptions(app, request)(scope, receive, send)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
    raise exc
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
    await app(scope, receive, sender)
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/starlette/routing.py", line 72, in app
    response = await func(request)
               ^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/fastapi/routing.py", line 278, in app
    raw_response = await run_endpoint_function(
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/fastapi/routing.py", line 191, in run_endpoint_function
    return await dependant.call(**values)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 103, in create_completion
    generator = await openai_serving_completion.create_completion(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/entrypoints/openai/serving_completion.py", line 178, in create_completion
    async for i, res in result_generator:
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/entrypoints/openai/serving_completion.py", line 81, in consumer
    raise item
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/entrypoints/openai/serving_completion.py", line 66, in producer
    async for item in iterator:
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 644, in generate
    raise e
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 638, in generate
    async for request_output in stream:
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 77, in __anext__
    raise result
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 38, in _raise_exception_on_finish
    task.result()
  File "/lustre/scratch/scratch/rmhijpo/ctgov_rag/.venv/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 480, in run_engine_loop
    has_requests_in_progress = await asyncio.wait_for(
                               ^^^^^^^^^^^^^^^^^^^^^^^
  File "/shared/ucl/apps/python/3.11.3/gnu-4.9.2/lib/python3.11/asyncio/tasks.py", line 492, in wait_for
    raise exceptions.TimeoutError() from exc
TimeoutError

Would you kindly share the specifications of the GPU you utilized while encountering these issues? Also A800-80G?

[ywang96]

@ericzhou571 @JPonsa @blackblue9 @supdizh Could you try --disable-custom-all-reduce when you launch the server and see if this issue persists?

[JPonsa]

@ywang96 the issue persists when launching the server with --disable-custom-all-reduce

[Warrior0x1]

I encountered a similar issue in version 0.4.2.

[github-actions]

This issue has been automatically marked as stale because it has not had any activity within 90 days. It will be automatically closed if no further activity occurs within 30 days. Leave a comment if you feel this issue should remain open. Thank you!