[Bug] Stress test memory error

[bltcn]

Checklist

• [ ] 1. I have searched related issues but cannot get the expected help.
• [ ] 2. The bug has not been fixed in the latest version.
• [ ] 3. Please note that if the bug-related issue you submitted lacks corresponding environment info and a minimal reproducible demo, it will be challenging for us to reproduce and resolve the issue, reducing the likelihood of receiving feedback.

Describe the bug

use benchmark test and get memory error.

Reproduction

lmdeploy serve api_server /root/hf_model/Qwen/Qwen3-32B
--model-name Qwen3-32B--backend turbomind --server-port 8000 --tool-call-parser qwen
--log-level INFO
--enable-prefix-caching
--tp 4 --session-len 32000 --cache-max-entry-count 0.7

python3 profile_restful_api.py --backend lmdeploy --dataset-path ShareGPT_V3_unfiltered_cleaned_split.json
--host 127.0.0.1 --port 8000 --model pkumlm_txt --tokenizer /root/hf_model/Qwen/Qwen3-32B/
--request-rate 10 --num-prompts 1000 --disable-stream

Environment

sys.platform: linux
Python: 3.10.12 (main, Feb  4 2025, 14:57:36) [GCC 11.4.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0,1,2,3: NVIDIA GeForce RTX 2080 Ti
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 12.4, V12.4.131
GCC: x86_64-linux-gnu-gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
PyTorch: 2.6.0+cu124
PyTorch compiling details: PyTorch built with:
  - GCC 9.3
  - C++ Version: 201703
  - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - NNPACK is enabled
  - CPU capability usage: AVX512
  - CUDA Runtime 12.4
  - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90
  - CuDNN 90.1
  - Magma 2.6.1
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=2236df1770800ffea5697b11b0bb0d910b2e59e1, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.6.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, 

TorchVision: 0.21.0+cu124
LMDeploy: 0.7.2.post1+b057894
transformers: 4.52.0.dev0
gradio: 5.4.0
fastapi: 0.115.12
pydantic: 2.11.3
triton: 3.2.0
NVIDIA Topology: 
        GPU0    GPU1    GPU2    GPU3    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      PIX     PIX     PIX     0-19,40-59      0               N/A
GPU1    PIX      X      PIX     PIX     0-19,40-59      0               N/A
GPU2    PIX     PIX      X      PIX     0-19,40-59      0               N/A
GPU3    PIX     PIX     PIX      X      0-19,40-59      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

Error traceback

2025-05-17 16:40:12,851 - lmdeploy - ERROR - async_engine.py:594 - [safe_run] exception caught: OverflowError out of range integral type conversion attempted
2025-05-17 16:40:12,851 - lmdeploy - INFO - turbomind.py:631 - [async_stream_infer] GeneratorExit
[TM][ERROR] CUDA runtime error: an illegal memory access was encountered /opt/lmdeploy/src/turbomind/core/stream.h:113
[TM][ERROR] CUDA runtime error: an illegal memory access was encountered /opt/lmdeploy/src/turbomind/core/stream.h:113
[TM][ERROR] CUDA runtime error: an illegal memory access was encountered /opt/lmdeploy/src/turbomind/core/stream.h:113
[TM][ERROR] CUDA runtime error: an illegal memory access was encountered /opt/lmdeploy/src/turbomind/core/stream.h:113