[Bug]: MQLLMEngine dies after a period of inactivity

[Xaenalt]

Your current environment

The output of `python collect_env.py`

Collecting environment information...
/usr/lib64/python3.11/inspect.py:389: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead
  return isinstance(object, types.FunctionType)
PyTorch version: 2.4.0a0+git74cd574
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Red Hat Enterprise Linux 9.4 (Plow) (x86_64)
GCC version: (GCC) 11.4.1 20231218 (Red Hat 11.4.1-3)
Clang version: 17.0.6 (Red Hat, Inc. 17.0.6-5.el9)
CMake version: version 3.26.5
Libc version: glibc-2.34

Python version: 3.11.7 (main, Aug 23 2024, 00:00:00) [GCC 11.4.1 20231218 (Red Hat 11.4.1-3)] (64-bit runtime)
Python platform: Linux-5.14.0-427.28.1.el9_4.x86_64-x86_64-with-glibc2.34
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:                      52 bits physical, 57 bits virtual
Byte Order:                         Little Endian
CPU(s):                             224
On-line CPU(s) list:                0-223
Vendor ID:                          GenuineIntel
Model name:                         Intel(R) Xeon(R) Platinum 8480+
CPU family:                         6
Model:                              143
Thread(s) per core:                 2
Core(s) per socket:                 56
Socket(s):                          2
Stepping:                           8
CPU(s) scaling MHz:                 81%
CPU max MHz:                        3800.0000
CPU min MHz:                        800.0000
BogoMIPS:                           4000.00
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 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 cat_l2 cdp_l3 intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid 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 split_lock_detect avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req vnmi avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr ibt amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
Virtualization:                     VT-x
L1d cache:                          5.3 MiB (112 instances)
L1i cache:                          3.5 MiB (112 instances)
L2 cache:                           224 MiB (112 instances)
L3 cache:                           210 MiB (2 instances)
NUMA node(s):                       2
NUMA node0 CPU(s):                  0-55,112-167
NUMA node1 CPU(s):                  56-111,168-223
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] habana-torch-dataloader==1.18.0.524
[pip3] habana-torch-plugin==1.18.0.524
[pip3] numpy==1.26.4
[pip3] pynvml==8.0.4
[pip3] pytorch-lightning==2.4.0
[pip3] pyzmq==26.2.0
[pip3] torch==2.4.0a0+git74cd574
[pip3] torch_tb_profiler==0.4.0
[pip3] torchaudio==2.4.0a0+69d4077
[pip3] torchdata==0.7.1+5e6f7b7
[pip3] torchmetrics==1.4.2
[pip3] torchtext==0.18.0a0+9bed85d
[pip3] torchvision==0.19.0a0+48b1edf
[pip3] transformers==4.45.2
[pip3] triton==3.1.0
[conda] Could not collect
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.6.3.dev551+ga59fc7b4
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
Could not collect
HPU Topology:
+-----------------------------------------------------------------------------+
| HL-SMI Version:                              hl-1.18.0-fw-53.1.1.1          |
| Driver Version:                                     1.18.0-ee698fb          |
|-------------------------------+----------------------+----------------------+
| AIP  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | AIP-Util  Compute M. |
|===============================+======================+======================|
|   0  HL-325              N/A  | 0000:21:00.0     N/A |                   0  |
| N/A   41C   N/A   237W / 900W |    672MiB / 131072MiB |     0%           N/A 
|-------------------------------+----------------------+----------------------+
|   1  HL-325              N/A  | 0000:9b:00.0     N/A |                   0  |
| N/A   40C   N/A   236W / 900W |    672MiB / 131072MiB |     0%           N/A 
|-------------------------------+----------------------+----------------------+
| Compute Processes:                                               AIP Memory |
|  AIP       PID   Type   Process name                             Usage      |
|=============================================================================|
|   0        N/A   N/A    N/A                                      N/A        |
|   1        N/A   N/A    N/A                                      N/A        |
+=============================================================================+

Model Input Dumps

No response

🐛 Describe the bug

While testing, I've had some gaps between model inferences, occasionally after a certain amount of time, vLLM errors out with

ERROR 10-23 02:20:46 client.py:250] TimeoutError('No heartbeat received from MQLLMEngine')                                                                                           

I've observed this when running on 2x gaudi3 with tensor parallelism to load llama-3.1-70b

Full traceback:
scrollback.log

Appears distinct from vllm-project#9321 as it happens after a period of 0 load

Before submitting a new issue...

• Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the documentation page, which can answer lots of frequently asked questions.

[michalkuligowski]

hi @Xaenalt, Which SynapseAI version and vllm-fork version you are using? If you provide versions that you are using, we will try to reproduce on our side.
Or maybe you have logs collected as in https://docs.habana.ai/en/latest/PyTorch/Reference/Debugging_Guide/Debugging_with_Intel_Gaudi_Logs.html ?
From the log you provided seems that one of processes terminated after a few requests, but without more logs its difficult to say what is the root cause.

[Xaenalt]

I can gather those detailed logs
SynapseAI version 1.18, vllm-fork I have tried both v0.5.3.post1+Gaudi-1.18.0 and 9276ccc