Repository: open-compass/opencompass
Issue: [Bug] 主观评估运行时报错

### 先决条件

- [X] 我已经搜索过 [问题](https://github.com/open-compass/opencompass/issues/) 和 [讨论](https://github.com/open-compass/opencompass/discussions) 但未得到预期的帮助。
- [X] 错误在 [最新版本](https://github.com/open-compass/opencompass) 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-12.1',
 'GCC': 'gcc (Ubuntu 13.2.0-23ubuntu4) 13.2.0',
 'GPU 0': 'NVIDIA GeForce RTX 4090 D',
 'MMEngine': '0.10.4',
 'MUSA available': False,
 'NVCC': 'Cuda compilation tools, release 12.1, V12.1.105',
 'OpenCV': '4.10.0',
 'PyTorch': '2.3.0',
 'PyTorch compiling details': 'PyTorch built with:\n'
                              '  - GCC 9.3\n'
                              '  - C++ Version: 201703\n'
                              '  - Intel(R) oneAPI Math Kernel Library Version '
                              '2023.1-Product Build 20230303 for Intel(R) 64 '
                              'architecture applications\n'
                              '  - Intel(R) MKL-DNN v3.3.6 (Git Hash '
                              '86e6af5974177e513fd3fee58425e1063e7f1361)\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 12.1\n'
                              '  - NVCC architecture flags: '
                              '-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-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 8.9.2\n'
                              '  - Magma 2.6.1\n'
                              '  - 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=2.3.0, '
                              '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=ON, '
                              'USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, '
                              'USE_ROCM_KERNEL_ASSERT=OFF, \n',
 'Python': '3.10.14 (main, May  6 2024, 19:42:50) [GCC 11.2.0]',
 'TorchVision': '0.18.0',
 'lmdeploy': "not installed:No module named 'lmdeploy'",
 'numpy_random_seed': 2147483648,
 'opencompass': '0.3.0+8e55c9c',
 'sys.platform': 'linux',
 'transformers': '4.42.3'
```
### 重现问题 - 代码/配置示例
```
from mmengine.config import read_base

with read_base():
    from .datasets.subjective.alignbench.alignbench_judgeby_critiquellm import alignbench_datasets

from opencompass.models import HuggingFaceCausalLM, HuggingFace, HuggingFaceChatGLM3, HuggingFacewithChatTemplate,OpenAI
from opencompass.partitioners import NaivePartitioner
from opencompass.partitioners.sub_naive import SubjectiveNaivePartitioner
from opencompass.runners import LocalRunner
from opencompass.runners import SlurmSequentialRunner
from opencompass.tasks import OpenICLInferTask
from opencompass.tasks.subjective_eval import SubjectiveEvalTask
from opencompass.summarizers import AlignmentBenchSummarizer

api_meta_template = dict(
    round=[
        dict(role='HUMAN', api_role='HUMAN'),
        dict(role='BOT', api_role='BOT', generate=True),
    ]
)

# -------------Inference Stage ----------------------------------------
# For subjective evaluation, we often set do sample for models
models = [
    dict(
        type=HuggingFacewithChatTemplate,
        abbr='qwen1.5-4b-chat-hf',
        path='Qwen/Qwen1.5-4B-Chat',
        # tokenizer_path='THUDM/chatglm3-6b',
        model_kwargs=dict(
            device_map='auto',
            trust_remote_code=True,
        ),
        tokenizer_kwargs=dict(
            padding_side='left',
            truncation_side='left',
            trust_remote_code=True,
        ),
        generation_kwargs=dict(
            do_sample=True,
        ),
        meta_template=api_meta_template,
        max_out_len=2048,
        max_seq_len=4096,
        batch_size=4,
        run_cfg=dict(num_gpus=1, num_procs=1),
    )
]

datasets = [*alignbench_datasets]

infer = dict(
    partitioner=dict(type=NaivePartitioner),
    runner=dict(type=LocalRunner, max_num_workers=16, task=dict(type=OpenICLInferTask)),
)

# -------------Evalation Stage ----------------------------------------

## ------------- JudgeLLM Configuration
judge_models = dict(
    type=HuggingFacewithChatTemplate,
    abbr='qwen1.5-4b-chat-hf',
    path='Qwen/Qwen1.5-4B-Chat',
    meta_template=api_meta_template,
    query_per_second=16,
    max_out_len=2048,
    max_seq_len=2048,
    batch_size=4,
    temperature=0,
)

## ------------- Evaluation Configuration
eval = dict(
    partitioner=dict(type=SubjectiveNaivePartitioner, models=models, judge_models=judge_models,),
    runner=dict(type=LocalRunner, max_num_workers=16, task=dict(type=SubjectiveEvalTask)),
)

summarizer = dict(type=AlignmentBenchSummarizer)

work_dir = 'outputs/pandalm'
```


### 重现问题 - 命令或脚本
```
python run.py configs/eval_subjective_judge_pandalm.py -r
```

### 重现问题 - 错误信息
```
08/15 15:37:16 - OpenCompass - INFO - Reusing experiements from 20240815_101822
08/15 15:37:16 - OpenCompass - INFO - Current exp folder: outputs/pandalm/20240815_101822
08/15 15:37:16 - OpenCompass - WARNING - SlurmRunner is not used, so the partition argument is ignored.
08/15 15:37:16 - OpenCompass - INFO - Partitioned into 0 tasks.
0it [00:00, ?it/s]
Traceback (most recent call last):
  File "/home/kylin/opencompass/run.py", line 4, in <module>
    main()
  File "/home/kylin/opencompass/opencompass/cli/main.py", line 340, in main
    tasks = partitioner(cfg)
  File "/home/kylin/opencompass/opencompass/partitioners/base.py", line 83, in __call__
    tasks = self.partition(**model_and_dataset_args,
  File "/home/kylin/opencompass/opencompass/partitioners/sub_naive.py", line 214, in partition
    tasks = replicate_tasks_with_judge_models(tasks, judge_models,
  File "/home/kylin/opencompass/opencompass/partitioners/sub_naive.py", line 38, in replicate_tasks_with_judge_models
    replicated_task['judge_model'] = judge_models[idx]
  File "/home/kylin/anaconda3/envs/opencompass/lib/python3.10/site-packages/mmengine/config/config.py", line 138, in __getitem__
    return self.build_lazy(super().__getitem__(key))
  File "/home/kylin/anaconda3/envs/opencompass/lib/python3.10/site-packages/mmengine/config/config.py", line 105, in __missing__
    raise KeyError(name)
KeyError: 0
```


### 其他信息

_No response_

你应该跑错了configs脚本，你看看你的configs下有eval_subjective_judge_pandalm.py这个脚本吗

> 你应该跑错了configs脚本，你看看你的configs下有eval_subjective_judge_pandalm.py这个脚本吗

eval_subjective_judge_pandalm.py这个是我新建的文件，文件内容与“重现问题 - 代码/配置示例“中的一致

``judge_models = dict(
    type=HuggingFacewithChatTemplate,
    abbr='qwen1.5-4b-chat-hf',
    path='Qwen/Qwen1.5-4B-Chat',
    meta_template=api_meta_template,
    query_per_second=16,
    max_out_len=2048,
    max_seq_len=2048,
    batch_size=4,
    temperature=0,
)```
改成
```
judge_models = [dict(
    type=HuggingFacewithChatTemplate,
    abbr='qwen1.5-4b-chat-hf',
    path='Qwen/Qwen1.5-4B-Chat',
    meta_template=api_meta_template,
    query_per_second=16,
    max_out_len=2048,
    max_seq_len=2048,
    batch_size=4,
    temperature=0,
)]```

> ``judge_models = dict( type=HuggingFacewithChatTemplate, abbr='qwen1.5-4b-chat-hf', path='Qwen/Qwen1.5-4B-Chat', meta_template=api_meta_template, query_per_second=16, max_out_len=2048, max_seq_len=2048, batch_size=4, temperature=0, )``` 改成
> 
> ```
> judge_models = [dict(
>     type=HuggingFacewithChatTemplate,
>     abbr='qwen1.5-4b-chat-hf',
>     path='Qwen/Qwen1.5-4B-Chat',
>     meta_template=api_meta_template,
>     query_per_second=16,
>     max_out_len=2048,
>     max_seq_len=2048,
>     batch_size=4,
>     temperature=0,
> )]```
> ```

可以了，感谢~