[Bug] 使用lmdeploy方法部署InternVL-Chat-V1-5-AWQ，0.4.2版本openai客户端可以正常访问，0.5.0版本会卡死，没有任何响应，新增的cogvlm2也有类似现象。

### 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.

### Describe the bug

使用0.5.0版本部署InternVL-Chat-V1-5-AWQ，python客户端使用openai方式发送请求后，服务端显示收到消息，但GPU的消耗资源无任何变化，客户端一直处于等待响应状态。

### Reproduction

显卡信息:
4张魔改版2080ti 22G
部署代码:
export CUDA_VISIBLE_DEVICES=0,1,2,3
lmdeploy serve api_server /data2/model_zoo/InternVL-Chat-V1-5-AWQ --backend turbomind --model-format awq --tp 4 --server-name 0.0.0.0 --server-port 8086
客户端访问代码：
# python
def send_request(prompt, image_path, temperature, top_p, stream = True):
base64_image = encode_image(image_path)
response = client.chat.completions.create(
model=model_name,
messages=[{
'role':
'user',
'content': [{
'type': 'text',
'text': prompt,
}, {
'type': 'image_url',
'image_url': {
'url': f"data:image/jpeg;base64,{base64_image}",
},
}],
}],
temperature=temperature,
top_p=top_p,
max_tokens=1024,
stream=stream,
#frequency_penalty=0.5,
#presence_penalty=0.5
)
if stream is True:
text = ''
for info in response:
text += info.choices[0].delta.content
yield text
else:
text = response.choices[0].message.content
return text

### Environment

```Shell
sys.platform: linux
Python: 3.9.19 (main, May 6 2024, 19:43:03) [GCC 11.2.0]
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-11.8
NVCC: Cuda compilation tools, release 11.8, V11.8.89
GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
PyTorch: 2.2.2+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 v3.3.2 (Git Hash 2dc95a2ad0841e29db8b22fbccaf3e5da7992b01)
- 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 8.9.7 (built against CUDA 11.8)
- Built with CuDNN 8.9.2
- Magma 2.6.1
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.9.2, 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_QNNPACK -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=2.2.2, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, 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: 0.17.2+cu121
LMDeploy: 0.5.0+
transformers: 4.42.3
gradio: Not Found
fastapi: 0.111.0
pydantic: 2.8.2
triton: 2.2.0
```

### Error traceback

```Shell
服务端显示接受到信息：
INFO: Started server process [3473]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8086 (Press CTRL+C to quit)
INFO: 192.168.102.18:33176 - "GET /v1/models HTTP/1.1" 200 OK
INFO: 192.168.102.18:33820 - "POST /v1/chat/completions HTTP/1.1" 200 OK
GPU的使用率一直是0无任何波动
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.129.03 Driver Version: 535.129.03 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA GeForce RTX 2080 Ti Off | 00000000:19:00.0 Off | N/A |
| 41% 32C P8 18W / 260W | 22063MiB / 22528MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 1 NVIDIA GeForce RTX 2080 Ti Off | 00000000:1A:00.0 Off | N/A |
| 0% 37C P8 22W / 260W | 22033MiB / 22528MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 2 NVIDIA GeForce RTX 2080 Ti Off | 00000000:67:00.0 Off | N/A |
| 0% 38C P8 22W / 260W | 22033MiB / 22528MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 3 NVIDIA GeForce RTX 2080 Ti Off | 00000000:68:00.0 Off | N/A |
| 73% 38C P8 10W / 250W | 21797MiB / 22528MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
客户端一直等待响应
processing | 381.1s
```