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A high-throughput and memory-efficient inference and serving engine for LLMs
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[Bug]: Request never returns if temperature > 2 #5823

Closed guillaumerenault closed 1 week ago

guillaumerenault commented 5 months ago

Your current environment

Collecting environment information...
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: 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 3.29.5
Libc version: glibc-2.35

Python version: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-6.5.0-41-generic-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: Tesla V100S-PCIE-32GB
Nvidia driver version: 550.54.15
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:                      40 bits physical, 48 bits virtual
Byte Order:                         Little Endian
CPU(s):                             15
On-line CPU(s) list:                0-14
Vendor ID:                          GenuineIntel
Model name:                         Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz
CPU family:                         6
Model:                              85
Thread(s) per core:                 1
Core(s) per socket:                 1
Socket(s):                          15
Stepping:                           7
BogoMIPS:                           5786.40
Flags:                              fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology cpuid tsc_known_freq pni pclmulqdq vmx 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 tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat vnmi umip pku ospke avx512_vnni md_clear arch_capabilities
Virtualization:                     VT-x
Hypervisor vendor:                  KVM
Virtualization type:                full
L1d cache:                          480 KiB (15 instances)
L1i cache:                          480 KiB (15 instances)
L2 cache:                           60 MiB (15 instances)
L3 cache:                           240 MiB (15 instances)
NUMA node(s):                       1
NUMA node0 CPU(s):                  0-14
Vulnerability Gather data sampling: Unknown: Dependent on hypervisor status
Vulnerability Itlb multihit:        KVM: Mitigation: VMX disabled
Vulnerability L1tf:                 Not affected
Vulnerability Mds:                  Not affected
Vulnerability Meltdown:             Not affected
Vulnerability Mmio stale data:      Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
Vulnerability Retbleed:             Mitigation; Enhanced IBRS
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; BHI Syscall hardening, KVM SW loop
Vulnerability Srbds:                Not affected
Vulnerability Tsx async abort:      Mitigation; TSX disabled

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] nvidia-nccl-cu12==2.20.5
[pip3] torch==2.3.0
[pip3] transformers==4.41.2
[pip3] triton==2.3.0
[conda] Could not collect
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.5.0
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      0-14    0               N/A

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

🐛 Describe the bug

When using the temperature parameter for the POST /chat/completions endpoint. If the value is > 2, the request never returns, my guess would be that it should return a 400 given that temperature should be between 0 and 2. (The Open AI API returns a 400). (https://platform.openai.com/docs/api-reference/chat/create#chat-create-temperature)

The model used is: https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct

 curl http://localhost:8000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "/models/Meta-Llama-3-8B-Instruct",
    "temperature": 2.1,
    "messages": [
        {
            "role": "system",
            "content": "You are a a helpful assistant."
        },
        {
            "role": "user",
            "content": "What can I do with AI? Provide a very short answer in text."
        }
    ]
}'

vLLM logs:

TRACE:    10.0.3.98:51280 - HTTP connection lost
TRACE:    10.0.1.65:56952 - HTTP connection lost
TRACE:    172.21.0.1:39832 - HTTP connection made
TRACE:    172.21.0.1:39832 - ASGI [882] Started scope={'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('172.21.0.3', 8000), 'client': ('172.21.0.1', 39832), 'scheme': 'http', 'root_path': '', 'headers': '<...>', 'state': {}, 'method': 'POST', 'path': '/v1/chat/completions', 'raw_path': b'/v1/chat/completions', 'query_string': b''}
TRACE:    172.21.0.1:39832 - ASGI [882] Receive {'type': 'http.request', 'body': '<340 bytes>', 'more_body': False}
INFO 06-25 12:07:45 async_llm_engine.py:561] Received request cmpl-097455f59b534d78b5c89c9b945fc81e: prompt: '<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat can I do with AI? Provide a very short answer in text.<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n', params: SamplingParams(n=1, best_of=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.0, temperature=2.1, top_p=1.0, top_k=-1, min_p=0.0, seed=None, use_beam_search=False, length_penalty=1.0, early_stopping=False, stop=[], stop_token_ids=[], include_stop_str_in_output=False, ignore_eos=False, max_tokens=8155, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None), prompt_token_ids: [128000, 128006, 9125, 128007, 271, 2675, 527, 264, 264, 11190, 18328, 13, 128009, 128006, 882, 128007, 271, 3923, 649, 358, 656, 449, 15592, 30, 40665, 264, 1633, 2875, 4320, 304, 1495, 13, 128009, 128006, 78191, 128007, 271], lora_request: None.
DEBUG 06-25 12:07:45 async_llm_engine.py:524] Got new requests!
TRACE:    10.0.3.98:47666 - HTTP connection made
TRACE:    10.0.3.98:47666 - HTTP connection lost
TRACE:    172.21.0.1:39836 - HTTP connection made
TRACE:    172.21.0.1:39836 - ASGI [883] Started scope={'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('172.21.0.3', 8000), 'client': ('172.21.0.1', 39836), 'scheme': 'http', 'root_path': '', 'headers': '<...>', 'state': {}, 'method': 'GET', 'path': '/health', 'raw_path': b'/health', 'query_string': b''}
DEBUG 06-25 12:07:45 async_llm_engine.py:837] Starting health check...
DEBUG 06-25 12:07:45 async_llm_engine.py:848] Health check took 0.001062s
TRACE:    172.21.0.1:39836 - ASGI [883] Send {'type': 'http.response.start', 'status': 200, 'headers': '<...>'}
INFO:     172.21.0.1:39836 - "GET /health HTTP/1.1" 200 OK
TRACE:    172.21.0.1:39836 - ASGI [883] Send {'type': 'http.response.body', 'body': '<0 bytes>'}
TRACE:    172.21.0.1:39836 - ASGI [883] Completed
INFO 06-25 12:07:45 metrics.py:341] Avg prompt throughput: 5.7 tokens/s, Avg generation throughput: 2.0 tokens/s, Running: 1 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.1%, CPU KV cache usage: 0.0%.
TRACE:    10.0.1.65:42392 - HTTP connection made
TRACE:    10.0.1.65:42392 - ASGI [884] Started scope={'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('172.21.0.3', 8000), 'client': ('10.0.1.65', 42392), 'scheme': 'http', 'root_path': '', 'headers': '<...>', 'state': {}, 'method': 'GET', 'path': '/health', 'raw_path': b'/health', 'query_string': b''}
DEBUG 06-25 12:07:49 async_llm_engine.py:837] Starting health check...
DEBUG 06-25 12:07:49 async_llm_engine.py:848] Health check took 0.000382s
TRACE:    10.0.1.65:42392 - ASGI [884] Send {'type': 'http.response.start', 'status': 200, 'headers': '<...>'}
INFO:     10.0.1.65:42392 - "GET /health HTTP/1.1" 200 OK
TRACE:    10.0.1.65:42392 - ASGI [884] Send {'type': 'http.response.body', 'body': '<0 bytes>'}
TRACE:    10.0.1.65:42392 - ASGI [884] Completed
TRACE:    172.21.0.1:39836 - HTTP connection lost
INFO 06-25 12:07:50 metrics.py:341] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 21.4 tokens/s, Running: 1 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.2%, CPU KV cache usage: 0.0%.
TRACE:    10.0.3.98:47482 - HTTP connection made
TRACE:    10.0.3.98:47482 - ASGI [885] Started scope={'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('172.21.0.3', 8000), 'client': ('10.0.3.98', 47482), 'scheme': 'http', 'root_path': '', 'headers': '<...>', 'state': {}, 'method': 'GET', 'path': '/health', 'raw_path': b'/health', 'query_string': b''}
DEBUG 06-25 12:07:52 async_llm_engine.py:837] Starting health check...
DEBUG 06-25 12:07:52 async_llm_engine.py:848] Health check took 0.000386s
TRACE:    10.0.3.98:47482 - ASGI [885] Send {'type': 'http.response.start', 'status': 200, 'headers': '<...>'}
INFO:     10.0.3.98:47482 - "GET /health HTTP/1.1" 200 OK
TRACE:    10.0.3.98:47482 - ASGI [885] Send {'type': 'http.response.body', 'body': '<0 bytes>'}

The request of interest is ASGI [882]

When waiting a few minutes, this is all that can be found:

TRACE:    172.21.0.1:39832 - ASGI [882] Started scope={'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('172.21.0.3', 8000), 'client': ('172.21.0.1', 39832), 'scheme': 'http', 'root_path': '', 'headers': '<...>', 'state': {}, 'method': 'POST', 'path': '/v1/chat/completions', 'raw_path': b'/v1/chat/completions', 'query_string': b''}
TRACE:    172.21.0.1:39832 - ASGI [882] Receive {'type': 'http.request', 'body': '<340 bytes>', 'more_body': False}
github-actions[bot] commented 1 month ago

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!

github-actions[bot] commented 1 week ago

This issue has been automatically closed due to inactivity. Please feel free to reopen if you feel it is still relevant. Thank you!