[Bug] 使用leval测评时报错，求助

[fxnie]

先决条件

• 我已经搜索过 问题 和 讨论 但未得到预期的帮助。
• 错误在 最新版本 中尚未被修复。

问题类型

我正在使用官方支持的任务/模型/数据集进行评估。

环境

{'CUDA available': True,
'CUDA_HOME': '/usr/local/cuda',
'GCC': 'gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0',
'GPU 0,1,2,3': 'NVIDIA A800-SXM4-40GB',
'MMEngine': '0.10.5',
'MUSA available': False,
'NVCC': 'Cuda compilation tools, release 12.4, V12.4.131',
'OpenCV': '4.9.0',
'PyTorch': '2.5.1+cu124',
'PyTorch compiling details': 'PyTorch built with:\n'
' - GCC 9.3\n'
' - C++ Version: 201703\n'
' - Intel(R) oneAPI Math Kernel Library Version '
'2024.2-Product Build 20240605 for Intel(R) 64 '
'architecture applications\n'
' - Intel(R) MKL-DNN v3.5.3 (Git Hash '
'66f0cb9eb66affd2da3bf5f8d897376f04aae6af)\n'
' - OpenMP 201511 (a.k.a. OpenMP 4.5)\n'
' - LAPACK is enabled (usually provided by '
'MKL)\n'
' - NNPACK is enabled\n'
' - CPU capability usage: AVX2\n'
' - CUDA Runtime 12.4\n'
' - 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\n'
' - CuDNN 90.1\n'
' - Magma 2.6.1\n'
' - Build settings: BLAS_INFO=mkl, '
'BUILD_TYPE=Release, CUDA_VERSION=12.4, '
'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, \n',
'Python': '3.10.16 | packaged by conda-forge | (main, Dec 5 2024, 14:16:10) '
'[GCC 13.3.0]',
'TorchVision': '0.20.1+cu124',
'lmdeploy': '0.2.2',
'numpy_random_seed': 2147483648,
'opencompass': '0.3.9+7f2aeef',
'sys.platform': 'linux',
'transformers': '4.48.0'}

重现问题 - 代码/配置示例

python -m vllm.entrypoints.openai.api_server
--model /workspace/mnt/cm-nfx/model/Falcon3-Mamba-7B-Instruct
--served-model-name mamba
--host 0.0.0.0
--port 6606
--tensor-parallel-size 2
--max-model-len 32768

重现问题 - 命令或脚本

from mmengine.config import read_base
from opencompass.models import OpenAISDK

with read_base():
# from opencompass.configs.datasets.humaneval.humaneval_gen_8e312c import humaneval_datasets # noqa: F401, F403
# from opencompass.configs.datasets.ARC_c.ARC_c_gen import ARC_c_datasets # noqa: F401, F403
# from opencompass.configs.datasets.longbench.longbench import longbench_datasets
from opencompass.configs.datasets.leval.leval import leval_datasets
#from opencompass.configs.datasets.needlebench.needlebench_4k.needlebench_4k import needlebench_datasets
#from .summarizers.needlebench import needlebench_4k_summarizer as summarizer

datasets = leval_datasets

api_meta_template = dict(
round=[
dict(role='HUMAN', api_role='HUMAN'),
dict(role='BOT', api_role='BOT', generate=True),
],
reserved_roles=[dict(role='SYSTEM', api_role='SYSTEM')],
)

models = [
dict(
abbr='mamba',
type=OpenAISDK,
key='EMPTY', # API key
openai_api_base='http://0.0.0.0:6606/v1', # 服务地址
path='mamba', # 请求服务时的 model name
tokenizer_path='/workspace/mnt/cm-nfx/model/Falcon3-Mamba-7B-Instruct', # 请求服务时的 tokenizer name 或 path, 为None时使用默认tokenizer gpt-4
rpm_verbose=True, # 是否打印请求速率
meta_template=api_meta_template, # 服务请求模板
query_per_second=1, # 服务请求速率
max_out_len=512, # 最大输出长度
max_seq_len=32768, # 最大输入长度
temperature=0.01, # 生成温度
batch_size=8, # 批处理大小
)
]

重现问题 - 错误信息

/workspace/mnt/cm-nfx/opencompass/opencompass/init.py:19: UserWarning: Starting from v0.4.0, all AMOTIC configuration files currently located in ./configs/datasets, ./configs/models, and ./configs/summarizers will be migrated to the opencompass/configs/ package. Please update your configuration file paths accordingly.
_warn_about_config_migration()
2025-01-15 15:29:30.268607: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-01-15 15:29:30.414413: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2025-01-15 15:29:30.414460: I tensorflow/compiler/xla/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2025-01-15 15:29:31.060214: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2025-01-15 15:29:31.060303: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2025-01-15 15:29:31.060311: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
01/15 15:29:41 - OpenCompass - INFO - Current exp folder: outputs/default/20250115_152941
01/15 15:29:42 - OpenCompass - WARNING - SlurmRunner is not used, so the partition argument is ignored.
Traceback (most recent call last):
File "/workspace/mnt/cm-nfx/opencompass/run.py", line 4, in
main()
File "/workspace/mnt/cm-nfx/opencompass/opencompass/cli/main.py", line 299, in main
tasks = partitioner(cfg)
File "/workspace/mnt/cm-nfx/opencompass/opencompass/partitioners/base.py", line 83, in call
tasks = self.partition(**model_and_dataset_args,
File "/workspace/mnt/cm-nfx/opencompass/opencompass/partitioners/num_worker.py", line 69, in partition
dataset_size = self.get_size(dataset)
File "/workspace/mnt/cm-nfx/opencompass/opencompass/partitioners/num_worker.py", line 141, in get_size
dataset = build_dataset_from_cfg(dataset)
File "/workspace/mnt/cm-nfx/opencompass/opencompass/utils/build.py", line 13, in build_dataset_from_cfg
return LOAD_DATASET.build(dataset_cfg)
File "/opt/conda/envs/swift3/lib/python3.10/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/opt/conda/envs/swift3/lib/python3.10/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/workspace/mnt/cm-nfx/opencompass/opencompass/datasets/base.py", line 12, in init
self.dataset = self.load(**kwargs)
File "/workspace/mnt/cm-nfx/opencompass/opencompass/datasets/leval/leval_natural_question.py", line 17, in load
dataset = load_dataset(**kwargs)
File "/opt/conda/envs/swift3/lib/python3.10/site-packages/datasets/load.py", line 2074, in load_dataset
builder_instance = load_dataset_builder(
File "/opt/conda/envs/swift3/lib/python3.10/site-packages/datasets/load.py", line 1832, in load_dataset_builder
builder_instance: DatasetBuilder = builder_cls(
TypeError: 'NoneType' object is not callable

其他信息

https://github.com/open-compass/opencompass/discussions/1822。不知道如何解决