[Bug] lmdeploy 0.7.2-cu12 inference error while serving MiniCPM-V-2.6

### Checklist

- [x] 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

It's OK in version 0.6.3, but error in 0.7.2. And other VLM such as Qwen2-VL-7B is OK.

### how to start
`CUDA_VISIBLE_DEVICES=7 lmdeploy serve api_server /space/llms/mllm/MiniCPM-V-2_6 --model-name MiniCPM-V-2_6 --server-port 5000`

### Reproduction

curl --location 'http://10.1.252.118:5000/v1/chat/completions' \
--header 'Content-Type: application/json' \
--data '{
"model": "MiniCPM-V-2_6",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "这是什么？"
},
{
"type": "image_url",
"image_url": {
"url": "http://gips3.baidu.com/it/u=3886271102,3123389489&fm=3028&app=3028&f=JPEG&fmt=auto?w=1280&h=960"
}
}
]
}
],
"stream": false
}'

### Environment

```Shell
/opt/py3/lib/python3.10/site-packages/torch/cuda/__init__.py:129: UserWarning: CUDA initialization: CUDA driver initialization failed, you might not have a CUDA gpu. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:108.)
return torch._C._cuda_getDeviceCount() > 0
sys.platform: linux
Python: 3.10.12 (main, Feb 4 2025, 14:57:36) [GCC 11.4.0]
CUDA available: False
MUSA available: False
numpy_random_seed: 2147483648
GCC: x86_64-linux-gnu-gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
PyTorch: 2.5.1+cu121
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
- 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 -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=2.5.1, 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: 0.20.1+cu121
LMDeploy: 0.7.2+6f1277e
transformers: 4.49.0
gradio: 5.22.0
fastapi: 0.115.11
pydantic: 2.10.6
triton: 3.1.0
NVIDIA Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X PXB PXB PXB SYS SYS SYS SYS 0-35,72-107 0 N/A
GPU1 PXB X PXB PXB SYS SYS SYS SYS 0-35,72-107 0 N/A
GPU2 PXB PXB X PIX SYS SYS SYS SYS 0-35,72-107 0 N/A
GPU3 PXB PXB PIX X SYS SYS SYS SYS 0-35,72-107 0 N/A
GPU4 SYS SYS SYS SYS X PXB PXB PXB 36-71,108-143 1 N/A
GPU5 SYS SYS SYS SYS PXB X PXB PXB 36-71,108-143 1 N/A
GPU6 SYS SYS SYS SYS PXB PXB X PIX 36-71,108-143 1 N/A
GPU7 SYS SYS SYS SYS PXB PXB PIX X 36-71,108-143 1 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

```Shell
INFO: 10.11.26.110:57484 - "POST /v1/chat/completions HTTP/1.1" 500 Internal Server Error
ERROR: Exception in ASGI application
Traceback (most recent call last):
File "/opt/py3/lib/python3.10/site-packages/uvicorn/protocols/http/h11_impl.py", line 403, in run_asgi
result = await app( # type: ignore[func-returns-value]
File "/opt/py3/lib/python3.10/site-packages/uvicorn/middleware/proxy_headers.py", line 60, in __call__
return await self.app(scope, receive, send)
File "/opt/py3/lib/python3.10/site-packages/fastapi/applications.py", line 1054, in __call__
await super().__call__(scope, receive, send)
File "/opt/py3/lib/python3.10/site-packages/starlette/applications.py", line 112, in __call__
await self.middleware_stack(scope, receive, send)
File "/opt/py3/lib/python3.10/site-packages/starlette/middleware/errors.py", line 187, in __call__
raise exc
File "/opt/py3/lib/python3.10/site-packages/starlette/middleware/errors.py", line 165, in __call__
await self.app(scope, receive, _send)
File "/opt/py3/lib/python3.10/site-packages/starlette/middleware/cors.py", line 85, in __call__
await self.app(scope, receive, send)
File "/opt/py3/lib/python3.10/site-packages/starlette/middleware/exceptions.py", line 62, in __call__
await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
File "/opt/py3/lib/python3.10/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/opt/py3/lib/python3.10/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/opt/py3/lib/python3.10/site-packages/starlette/routing.py", line 714, in __call__
await self.middleware_stack(scope, receive, send)
File "/opt/py3/lib/python3.10/site-packages/starlette/routing.py", line 734, in app
await route.handle(scope, receive, send)
File "/opt/py3/lib/python3.10/site-packages/starlette/routing.py", line 288, in handle
await self.app(scope, receive, send)
File "/opt/py3/lib/python3.10/site-packages/starlette/routing.py", line 76, in app
await wrap_app_handling_exceptions(app, request)(scope, receive, send)
File "/opt/py3/lib/python3.10/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/opt/py3/lib/python3.10/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/opt/py3/lib/python3.10/site-packages/starlette/routing.py", line 73, in app
response = await f(request)
File "/opt/py3/lib/python3.10/site-packages/fastapi/routing.py", line 301, in app
raw_response = await run_endpoint_function(
File "/opt/py3/lib/python3.10/site-packages/fastapi/routing.py", line 212, in run_endpoint_function
return await dependant.call(**values)
File "/opt/lmdeploy/lmdeploy/serve/openai/api_server.py", line 497, in chat_completions_v1
async for res in result_generator:
File "/opt/lmdeploy/lmdeploy/serve/async_engine.py", line 663, in generate
prompt_input = await self._get_prompt_input(prompt,
File "/opt/lmdeploy/lmdeploy/serve/vl_async_engine.py", line 76, in _get_prompt_input
results = await self.vl_encoder.preprocess(messages)
File "/opt/lmdeploy/lmdeploy/vl/engine.py", line 48, in preprocess
outputs = await future
ValueError: operands could not be broadcast together with shapes (560,364,3) (3,3)
```