[Bug] error occurs when reset chat session in gradio with image uploded and get response.

### 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

gradio occurs error when reset chat session with image uploded by using vl models.

### Reproduction

1. start a gradio server
`lmdeploy serve gradio /nvme/qa_test_models/OpenGVLab/InternVL2-2B --tp 1`
2. open url, upload a picture from local and input prompt '图里是什么', enter to get response
3. click reset after response is finished.

### Environment

```Shell
sys.platform: linux
Python: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 11.7, V11.7.64
GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)
PyTorch: 2.2.2+cu118
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 11.8
- 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_37,code=sm_37;-gencode;arch=compute_90,code=sm_90
- CuDNN 8.7
- Magma 2.6.1
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, 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_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+cu118
LMDeploy: 0.5.2.post1+4ebe9cc
transformers: 4.45.0.dev0
gradio: 4.42.0
fastapi: 0.112.2
pydantic: 2.8.2
triton: 2.1.0
NVIDIA Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 CPU Affinity NUMA Affinity
GPU0 X NV12 NV12 NV12 NV12 NV12 NV12 NV12 0-27,56-83 0
GPU1 NV12 X NV12 NV12 NV12 NV12 NV12 NV12 0-27,56-83 0
GPU2 NV12 NV12 X NV12 NV12 NV12 NV12 NV12 0-27,56-83 0
GPU3 NV12 NV12 NV12 X NV12 NV12 NV12 NV12 0-27,56-83 0
GPU4 NV12 NV12 NV12 NV12 X NV12 NV12 NV12 28-55,84-111 1
GPU5 NV12 NV12 NV12 NV12 NV12 X NV12 NV12 28-55,84-111 1
GPU6 NV12 NV12 NV12 NV12 NV12 NV12 X NV12 28-55,84-111 1
GPU7 NV12 NV12 NV12 NV12 NV12 NV12 NV12 X 28-55,84-111 1

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

```Shell
2024-08-27 16:34:22,955 - lmdeploy - INFO - matching vision model: InternVLVisionModel
2024-08-27 16:34:25,405 - lmdeploy - INFO - using InternVL-Chat-V1-5 vision preprocess
2024-08-27 16:34:25,418 - lmdeploy - INFO - input backend=turbomind, backend_config=TurbomindEngineConfig(model_name=None, model_format=None, tp=1, session_len=8192, max_batch_size=128, cache_max_entry_count=0.8, cache_block_seq_len=64, enable_prefix_caching=False, quant_policy=0, rope_scaling_factor=0.0, use_logn_attn=False, download_dir=None, revision=None, max_prefill_token_num=8192, num_tokens_per_iter=0, max_prefill_iters=1)
2024-08-27 16:34:25,418 - lmdeploy - INFO - input chat_template_config=ChatTemplateConfig(model_name=None, system=None, meta_instruction=None, eosys=None, user=None, eoh=None, assistant=None, eoa=None, separator=None, capability='chat', stop_words=None)
2024-08-27 16:34:25,421 - lmdeploy - INFO - updated chat_template_onfig=ChatTemplateConfig(model_name='internvl2-internlm2', system=None, meta_instruction=None, eosys=None, user=None, eoh=None, assistant=None, eoa=None, separator=None, capability='chat', stop_words=None)
2024-08-27 16:34:25,421 - lmdeploy - INFO - model_source: hf_model
2024-08-27 16:34:25,999 - lmdeploy - INFO - model_config:

[llama]
model_name = internvl2-internlm2
model_arch = InternVLChatModel
tensor_para_size = 1
head_num = 16
kv_head_num = 8
vocab_size = 92553
num_layer = 24
inter_size = 8192
norm_eps = 1e-05
attn_bias = 0
start_id = 1
end_id = 2
session_len = 8192
weight_type = bf16
rotary_embedding = 128
rope_theta = 1000000.0
size_per_head = 128
group_size = 0
max_batch_size = 128
max_prefill_token_num = 8192
max_context_token_num = 1
step_length = 1
cache_max_entry_count = 0.8
cache_block_seq_len = 64
cache_chunk_size = -1
enable_prefix_caching = False
num_tokens_per_iter = 8192
max_prefill_iters = 1
use_context_fmha = 1
quant_policy = 0
max_position_embeddings = 32768
original_max_position_embeddings = 0
rope_scaling_type =
rope_scaling_factor = 2.0
use_dynamic_ntk = 1
low_freq_factor = 1.0
high_freq_factor = 1.0
use_logn_attn = 0
lora_policy =
lora_r = 0
lora_scale = 0.0
lora_max_wo_r = 0
lora_rank_pattern =
lora_scale_pattern =

[TM][WARNING] [LlamaTritonModel] `max_context_token_num` = 8192.
[TM][INFO] Model:
head_num: 16
kv_head_num: 8
size_per_head: 128
inter_size: 8192
num_layer: 24
vocab_size: 92553
attn_bias: 0
max_batch_size: 128
max_prefill_token_num: 8192
max_context_token_num: 8192
session_len: 8192
step_length: 1
cache_max_entry_count: 0.8
cache_block_seq_len: 64
cache_chunk_size: -1
enable_prefix_caching: 0
use_context_fmha: 1
start_id: 1
tensor_para_size: 1
pipeline_para_size: 1
enable_custom_all_reduce: 0
model_name: internvl2-internlm2
model_dir:
quant_policy: 0
group_size: 0

2024-08-27 16:34:26,016 - lmdeploy - WARNING - get 171 model params
[TM][INFO] [LlamaWeight::prepare] workspace size: 0

[WARNING] gemm_config.in is not found; using default GEMM algo
[TM][INFO] NCCL group_id = 0
[TM][INFO] [BlockManager] block_size = 6 MB
[TM][INFO] [BlockManager] max_block_count = 10156
[TM][INFO] [BlockManager] chunk_size = 10156
[TM][INFO] LlamaBatch::Start()
2024-08-27 16:34:27,750 - lmdeploy - INFO - updated backend_config=TurbomindEngineConfig(model_name=None, model_format=None, tp=1, session_len=8192, max_batch_size=128, cache_max_entry_count=0.8, cache_block_seq_len=64, enable_prefix_caching=False, quant_policy=0, rope_scaling_factor=0.0, use_logn_attn=False, download_dir=None, revision=None, max_prefill_token_num=8192, num_tokens_per_iter=0, max_prefill_iters=1)
Running on local URL: http://0.0.0.0:6006
2024-08-27 16:34:44,226 - lmdeploy - INFO - prompt: ('图里是什么', [])
2024-08-27 16:34:44,227 - lmdeploy - WARNING - Can not found event loop in current thread. Create a new event loop.
2024-08-27 16:34:44,227 - lmdeploy - INFO - start ImageEncoder._forward_loop
2024-08-27 16:34:44,228 - lmdeploy - INFO - ImageEncoder received 1 images, left 1 images.
2024-08-27 16:34:44,228 - lmdeploy - INFO - ImageEncoder process 1 images, left 0 images.
2024-08-27 16:34:44,479 - lmdeploy - INFO - ImageEncoder forward 1 images, cost 0.252s
2024-08-27 16:34:44,480 - lmdeploy - INFO - ImageEncoder done 1 images, left 0 images.
2024-08-27 16:34:44,481 - lmdeploy - INFO - preprocess cost 0.254s
2024-08-27 16:34:44,481 - lmdeploy - INFO - input_ids: [1, 92543, 9081, 364, 60403, 69643, 68589, 76659, 71581, 69504, 60731, 61325, 68636, 68640, 74302, 60384, 60393, 60838, 60921, 60368, 70218, 60353, 69430, 78131, 1214, 1070, 30924, 328, 262, 68625, 71042, 90861, 91468, 68925, 72018, 60355, 92542, 364, 92543, 1008, 364, 92544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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2024-08-27 16:34:44,482 - lmdeploy - INFO - Register stream callback for 0
[TM][INFO] [forward] Enqueue requests
[TM][INFO] [forward] Wait for requests to complete ...
[TM][INFO] [ProcessInferRequests] Request for 0 received.
[TM][INFO] [Forward] [0, 1), dc=0, pf=1, sum_q=1845, sum_k=1845, max_q=1845, max_k=1845
[TM][INFO] ------------------------- step = 1850 -------------------------
[TM][INFO] ------------------------- step = 1860 -------------------------
[TM][INFO] ------------------------- step = 1870 -------------------------
[TM][INFO] ------------------------- step = 1880 -------------------------
[TM][INFO] ------------------------- step = 1890 -------------------------
[TM][INFO] ------------------------- step = 1900 -------------------------
[TM][INFO] ------------------------- step = 1910 -------------------------
[TM][INFO] ------------------------- step = 1920 -------------------------
[TM][INFO] ------------------------- step = 1930 -------------------------
[TM][INFO] ------------------------- step = 1940 -------------------------
[TM][INFO] ------------------------- step = 1950 -------------------------
[TM][INFO] ------------------------- step = 1960 -------------------------
[TM][INFO] ------------------------- step = 1970 -------------------------
[TM][INFO] ------------------------- step = 1980 -------------------------
[TM][INFO] ------------------------- step = 1990 -------------------------
[TM][INFO] ------------------------- step = 2000 -------------------------
[TM][INFO] ------------------------- step = 2010 -------------------------
[TM][INFO] ------------------------- step = 2020 -------------------------
[TM][INFO] ------------------------- step = 2030 -------------------------
[TM][INFO] ------------------------- step = 2040 -------------------------
[TM][INFO] ------------------------- step = 2050 -------------------------
[TM][INFO] ------------------------- step = 2060 -------------------------
[TM][INFO] ------------------------- step = 2070 -------------------------
[TM][INFO] ------------------------- step = 2080 -------------------------
[TM][INFO] ------------------------- step = 2090 -------------------------
[TM][INFO] ------------------------- step = 2100 -------------------------
[TM][INFO] ------------------------- step = 2110 -------------------------
[TM][INFO] ------------------------- step = 2120 -------------------------
[TM][INFO] ------------------------- step = 2130 -------------------------
[TM][INFO] ------------------------- step = 2140 -------------------------
[TM][INFO] ------------------------- step = 2150 -------------------------
[TM][INFO] ------------------------- step = 2160 -------------------------
[TM][INFO] ------------------------- step = 2170 -------------------------
[TM][INFO] ------------------------- step = 2180 -------------------------
[TM][INFO] ------------------------- step = 2190 -------------------------
[TM][INFO] ------------------------- step = 2200 -------------------------
[TM][INFO] ------------------------- step = 2210 -------------------------
[TM][INFO] ------------------------- step = 2220 -------------------------
[TM][INFO] ------------------------- step = 2230 -------------------------
[TM][INFO] ------------------------- step = 2240 -------------------------
[TM][INFO] ------------------------- step = 2250 -------------------------
[TM][INFO] ------------------------- step = 2260 -------------------------
[TM][INFO] ------------------------- step = 2270 -------------------------
[TM][INFO] ------------------------- step = 2280 -------------------------
[TM][INFO] ------------------------- step = 2290 -------------------------
[TM][INFO] ------------------------- step = 2300 -------------------------
[TM][INFO] ------------------------- step = 2310 -------------------------
[TM][INFO] ------------------------- step = 2320 -------------------------
[TM][INFO] ------------------------- step = 2330 -------------------------
[TM][INFO] ------------------------- step = 2340 -------------------------
[TM][INFO] ------------------------- step = 2350 -------------------------
[TM][INFO] [Interrupt] slot = 0, id = 0
[TM][INFO] [forward] Request completed for 0
2024-08-27 16:34:46,510 - lmdeploy - INFO - UN-register stream callback for 0
2024-08-27 16:36:20,455 - lmdeploy - WARNING - kwargs request_output_len is deprecated for inference, use GenerationConfig instead.
[TM][INFO] [forward] Enqueue requests
[TM][INFO] [forward] Wait for requests to complete ...
[TM][WARNING] [RejectInvalidRequests] Skipping invalid stop request for id 0, code = 4
[TM][WARNING] [forward] Request failed for 0, code 4
```