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vllm-project / vllm

A high-throughput and memory-efficient inference and serving engine for LLMs
https://docs.vllm.ai
Apache License 2.0
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[Usage]: Streaming Response from vLLM 0.4.2 -> 0.4.3 #5321

Closed BiboyQG closed 4 months ago

BiboyQG commented 4 months ago

Your current environment

PyTorch version: 2.3.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Arch Linux (x86_64)
GCC version: (GCC) 12.3.0
Clang version: Could not collect
CMake version: version 3.29.3
Libc version: glibc-2.39

Python version: 3.10.14 (main, May  6 2024, 19:42:50) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-6.6.15-2-lts-x86_64-with-glibc2.39
Is CUDA available: True
CUDA runtime version: 12.3.103
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090
Nvidia driver version: 545.29.06
cuDNN version: Probably one of the following:
/usr/lib/libcudnn.so.8.9.7
/usr/lib/libcudnn_adv_infer.so.8.9.7
/usr/lib/libcudnn_adv_train.so.8.9.7
/usr/lib/libcudnn_cnn_infer.so.8.9.7
/usr/lib/libcudnn_cnn_train.so.8.9.7
/usr/lib/libcudnn_ops_infer.so.8.9.7
/usr/lib/libcudnn_ops_train.so.8.9.7
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:                      46 bits physical, 48 bits virtual
Byte Order:                         Little Endian
CPU(s):                             24
On-line CPU(s) list:                0-23
Vendor ID:                          GenuineIntel
Model name:                         13th Gen Intel(R) Core(TM) i7-13700K
CPU family:                         6
Model:                              183
Thread(s) per core:                 2
Core(s) per socket:                 16
Socket(s):                          1
Stepping:                           1
CPU(s) scaling MHz:                 25%
CPU max MHz:                        5400.0000
CPU min MHz:                        800.0000
BogoMIPS:                           6837.00
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 sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb intel_pt sha_ni xsaveopt xsavec xgetbv1 xsaves split_lock_detect user_shstk avx_vnni dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req hfi vnmi umip pku ospke waitpkg gfni vaes vpclmulqdq tme rdpid movdiri movdir64b fsrm md_clear serialize pconfig arch_lbr ibt flush_l1d arch_capabilities
Virtualization:                     VT-x
L1d cache:                          640 KiB (16 instances)
L1i cache:                          768 KiB (16 instances)
L2 cache:                           24 MiB (10 instances)
L3 cache:                           30 MiB (1 instance)
NUMA node(s):                       1
NUMA node0 CPU(s):                  0-23
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
Vulnerability Spectre v1:           Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:           Mitigation; Enhanced / Automatic 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-nccl-cu12==2.20.5
[pip3] torch==2.3.0
[pip3] torchaudio==2.3.0
[pip3] torchvision==0.18.0
[pip3] transformers==4.41.0
[pip3] transformers-stream-generator==0.0.4
[pip3] triton==2.3.0
[pip3] vllm_nccl_cu12==2.18.1.0.4.0
[conda] numpy                     1.26.4                   pypi_0    pypi
[conda] nvidia-nccl-cu12          2.20.5                   pypi_0    pypi
[conda] torch                     2.3.0                    pypi_0    pypi
[conda] torchaudio                2.3.0                    pypi_0    pypi
[conda] torchvision               0.18.0                   pypi_0    pypi
[conda] transformers              4.41.0                   pypi_0    pypi
[conda] transformers-stream-generator 0.0.4                    pypi_0    pypi
[conda] triton                    2.3.0                    pypi_0    pypi
[conda] vllm-nccl-cu12            2.18.1.0.4.0             pypi_0    pypi
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.4.2
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X  0-23    0       N/A

How would you like to use vllm

I wrote a script that can return the output in a streaming way. When I use 0.4.2, vLLM works perfectly with my code, but when I update it to 0.4.3, and change one line of code to:

results_iter=engine.generate(sampling_params=sampling_params, intpus=prompt_tokens, request_id=request_id)

the outputs show:

ERROR:    Exception in ASGI application
Traceback (most recent call last):
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/responses.py", line 265, in __call__
    await wrap(partial(self.listen_for_disconnect, receive))
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/responses.py", line 261, in wrap
    await func()
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/responses.py", line 238, in listen_for_disconnect
    message = await receive()
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/uvicorn/protocols/http/httptools_impl.py", line 568, in receive
    await self.message_event.wait()
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/asyncio/locks.py", line 214, in wait
    await fut
asyncio.exceptions.CancelledError: Cancelled by cancel scope 741d0918a740

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/biboy/miniconda3/envs/qwen/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 "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/uvicorn/middleware/proxy_headers.py", line 69, in __call__
    return await self.app(scope, receive, send)
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/fastapi/applications.py", line 1054, in __call__
    await super().__call__(scope, receive, send)
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/applications.py", line 123, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/middleware/errors.py", line 186, in __call__
    raise exc
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/middleware/errors.py", line 164, in __call__
    await self.app(scope, receive, _send)
  File "/home/biboy/miniconda3/envs/qwen/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 "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
    raise exc
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
    await app(scope, receive, sender)
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/routing.py", line 756, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/routing.py", line 776, in app
    await route.handle(scope, receive, send)
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/routing.py", line 297, in handle
    await self.app(scope, receive, send)
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/routing.py", line 77, in app
    await wrap_app_handling_exceptions(app, request)(scope, receive, send)
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
    raise exc
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
    await app(scope, receive, sender)
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/routing.py", line 75, in app
    await response(scope, receive, send)
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/starlette/responses.py", line 258, in __call__
    async with anyio.create_task_group() as task_group:
  File "/home/biboy/miniconda3/envs/qwen/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 678, in __aexit__
    raise BaseExceptionGroup(
exceptiongroup.ExceptionGroup: unhandled errors in a TaskGroup (1 sub-exception)

which doesn't appear to be a problem at all when I use 0.4.2. So I wonder where the differences are and how I can modify my code (which are mostly referenced from here)to make it compatible with version 0.4.3. Thanks in advance for any possible help!

orderer0001 commented 4 months ago

Please tell me, how did you achieve streaming output before? Isn't your code returning the final result directly? ：results_iter=engine.generate(sampling_params=sampling_params, intpus=prompt_tokens, request_id=request_id)

BiboyQG commented 4 months ago

Close this as I solved the issue.