[Bug] cannot chat with Llama-3.2-11B-Vision-Instruct, because of error 'NoneType' object has no attribute 'kv_seqlens'

[zhulinJulia24]

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

'NoneType' object has no attribute 'kv_seqlens'

Reproduction

lmdeploy chat /nvme/qa_test_models/meta-llama/Llama-3.2-11B-Vision-Instruct --backend pytorch --session-len 4096

Environment

sys.platform: linux
Python: 3.10.12 (main, Nov  6 2024, 20:22:13) [GCC 11.4.0]
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 11.8, V11.8.89
GCC: x86_64-linux-gnu-gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
PyTorch: 2.4.0+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 v3.4.2 (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 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 90.1
  - Magma 2.6.1
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, 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+cu118
LMDeploy: 0.6.4+
transformers: 4.46.3
gradio: 5.9.1
fastapi: 0.115.6
pydantic: 2.10.3
triton: 3.0.0
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

2024-12-23 11:04:20,384 - lmdeploy - WARNING - transformers.py:22 - LMDeploy requires transformers version: [4.33.0 ~ 4.46.1], but found version: 4.46.3
2024-12-23 11:04:20,390 - lmdeploy - INFO - model_agent.py:240 - build model.
2024-12-23 11:04:20,719 - lmdeploy - INFO - model_agent.py:242 - loading weights.
2024-12-23 11:04:20,720 - lmdeploy - INFO - model_weight_loader.py:142 - loading weights - "model-00004-of-00005.safetensors"
2024-12-23 11:04:22,100 - lmdeploy - INFO - model_weight_loader.py:142 - loading weights - "model-00001-of-00005.safetensors"
2024-12-23 11:04:23,836 - lmdeploy - INFO - model_weight_loader.py:142 - loading weights - "model-00002-of-00005.safetensors"
2024-12-23 11:04:25,849 - lmdeploy - INFO - model_weight_loader.py:142 - loading weights - "model-00005-of-00005.safetensors"
2024-12-23 11:04:26,798 - lmdeploy - INFO - model_weight_loader.py:142 - loading weights - "model-00003-of-00005.safetensors"
2024-12-23 11:04:28,926 - lmdeploy - INFO - model_agent.py:244 - loading adapters.
2024-12-23 11:04:29,064 - lmdeploy - INFO - cache_engine.py:36 - build CacheEngine with config:CacheConfig(max_batches=256, block_size=64, num_cpu_blocks=102, num_gpu_blocks=4527, window_size=-1, cache_max_entry_count=0.8, max_prefill_token_num=4096, enable_prefix_caching=False, quant_policy=0, device_type='cuda')

double enter to end input >>> 你好

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>

你好<|eot_id|><|start_header_id|>assistant<|end_header_id|>

2024-12-23 11:04:49,152 - lmdeploy - ERROR - request.py:21 - Engine loop failed with error: 'NoneType' object has no attribute 'kv_seqlens'
Traceback (most recent call last):
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/engine/request.py", line 17, in _raise_exception_on_finish
    task.result()
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/engine/engine.py", line 1051, in async_loop
    await self._async_loop()
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/engine/engine.py", line 1045, in _async_loop
    await __step()
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/engine/engine.py", line 1032, in __step
    raise e
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/engine/engine.py", line 1026, in __step
    raise out
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/engine/engine.py", line 949, in _async_loop_background
    await self._async_step_background(
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/engine/engine.py", line 797, in _async_step_background
    output = await self._async_model_forward(
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/utils.py", line 241, in __tmp
    return (await func(*args, **kwargs))
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/engine/engine.py", line 679, in _async_model_forward
    ret = await __forward(inputs)
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/engine/engine.py", line 655, in __forward
    return await self.model_agent.async_forward(
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/engine/model_agent.py", line 275, in async_forward
    output = self._forward_impl(inputs,
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/engine/model_agent.py", line 257, in _forward_impl
    output = model_forward(
  File "/opt/py3/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/engine/model_agent.py", line 152, in model_forward
    input_dict = model.prepare_inputs_for_generation(
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/backends/cuda/graph_runner.py", line 177, in prepare_inputs_for_generation
    return self.model.prepare_inputs_for_generation(
  File "/opt/py3/lib/python3.10/site-packages/lmdeploy/pytorch/models/mllama.py", line 1292, in prepare_inputs_for_generation
    if int(cross_attn_metadata.kv_seqlens.sum()) == 0:
AttributeError: 'NoneType' object has no attribute 'kv_seqlens'