[Bug] Tokenizer Parallelism Leads to (500 : Internal Server Error)

### Checklist

- [X] 1. I have searched related issues but cannot get the expected help.
- [X] 2. The bug has not been fixed in the latest version.
- [X] 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

I ran Qwen-2-VL with lmdeploy, and request with multi-processes, and the server ran into an error:

```
Traceback (most recent call last):
File "/lmdeploy/lib/python3.8/site-packages/lmdeploy/pytorch/engine/request.py", line 171, in __no_threadsafe_get
return await asyncio.wait_for(self.resp_que.get(), timeout)
File "/lmdeploy/lib/python3.8/asyncio/tasks.py", line 501, in wait_for
raise exceptions.TimeoutError()
asyncio.exceptions.TimeoutError
```

When I set `tokenizers_parallelism=false`, the problem was solved, but the inference speed was much slower.

### Reproduction

run Qwen-2-VL deployment as the same as the document.

### Environment

```Shell
sys.platform: linux
Python: 3.8.20 (default, Oct 3 2024, 15:24:27) [GCC 11.2.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0,1: NVIDIA A100-SXM4-80GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 11.8, V11.8.89
GCC: gcc (Ubuntu 11.3.0-1ubuntu1~22.04.1) 11.3.0
PyTorch: 2.4.0+cu121
PyTorch compiling details: PyTorch built with:
- GCC 9.3
- C++ Version: 201703
- Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v3.4.2 (Git Hash 1137e04ec0b5251ca2b4400a4fd3c667ce843d67)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX512
- CUDA Runtime 12.1
- 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 (built against CUDA 12.4)
- Magma 2.6.1
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, 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 -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-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=pedantic -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, PERF_WITH_AVX512=1, TORCH_VERSION=2.4.0, 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: 0.19.0+cu121
LMDeploy: 0.6.5+cc80421
transformers: 4.46.3
gradio: Not Found
fastapi: 0.115.6
pydantic: 2.10.4
triton: 3.0.0
NVIDIA Topology:
GPU0 GPU1 NIC0 NIC1 NIC2 NIC3 NIC4 NIC5 NIC6 NIC7 NIC8 NIC9 NIC10 NIC11 NIC12 NIC13 NIC14 NIC15 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV12 SYS SYS SYS SYS SYS SYS SYS SYS SYS PXB PXB PXB SYS PXB SYS SYS 0-31,64-91 0 N/A
GPU1 NV12 X PXB PXB PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS PXB SYS 36-63,100-101 1 N/A
NIC0 SYS PXB X PIX PIX SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS PIX SYS
NIC1 SYS PXB PIX X PIX SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS PIX SYS
NIC2 SYS PXB PIX PIX X SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS PIX SYS
NIC3 SYS SYS SYS SYS SYS X PIX PIX SYS SYS SYS SYS SYS SYS SYS SYS SYS PIX
NIC4 SYS SYS SYS SYS SYS PIX X PIX SYS SYS SYS SYS SYS SYS SYS SYS SYS PIX
NIC5 SYS SYS SYS SYS SYS PIX PIX X SYS SYS SYS SYS SYS SYS SYS SYS SYS PIX
NIC6 SYS SYS SYS SYS SYS SYS SYS SYS X PIX PIX SYS SYS SYS PIX SYS SYS SYS
NIC7 SYS SYS SYS SYS SYS SYS SYS SYS PIX X PIX SYS SYS SYS PIX SYS SYS SYS
NIC8 SYS SYS SYS SYS SYS SYS SYS SYS PIX PIX X SYS SYS SYS PIX SYS SYS SYS
NIC9 PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS X PIX PIX SYS PIX SYS SYS
NIC10 PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS PIX X PIX SYS PIX SYS SYS
NIC11 PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS PIX PIX X SYS PIX SYS SYS
NIC12 SYS SYS SYS SYS SYS SYS SYS SYS PIX PIX PIX SYS SYS SYS X SYS SYS SYS
NIC13 PXB SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS PIX PIX PIX SYS X SYS SYS
NIC14 SYS PXB PIX PIX PIX SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS SYS X SYS
NIC15 SYS SYS SYS SYS SYS PIX PIX PIX SYS SYS SYS SYS SYS SYS SYS SYS SYS 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
NIC9: mlx5_9
NIC10: mlx5_10
NIC11: mlx5_11
NIC12: mlx5_bond_0
NIC13: mlx5_bond_1
NIC14: mlx5_bond_2
NIC15: mlx5_bond_3
```

### Error traceback

_No response_