Repository: open-compass/opencompass
Issue: [Bug] llm-compression task faild at eval stage with latest version
Root cause: Validation Gap

### Prerequisite

- [X] I have searched [Issues](https://github.com/open-compass/opencompass/issues/) and [Discussions](https://github.com/open-compass/opencompass/discussions) but cannot get the expected help.
- [X] The bug has not been fixed in the [latest version](https://github.com/open-compass/opencompass).

### Type

I'm evaluating with the officially supported tasks/models/datasets.

### Environment

{'CUDA available': True,
 'CUDA_HOME': '/usr/local/cuda',
 'GCC': 'x86_64-linux-gnu-gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0',
 'GPU 0,1,2,3,4,5,6,7,8,9': 'NVIDIA A100 80GB PCIe',
 'MMEngine': '0.10.4',
 'MUSA available': False,
 'NVCC': 'Cuda compilation tools, release 11.8, V11.8.89',
 'OpenCV': '4.9.0',
 'PyTorch': '2.3.0+cu121',
 'PyTorch compiling details': 'PyTorch built with:\n'
                              '  - GCC 9.3\n'
                              '  - C++ Version: 201703\n'
                              '  - Intel(R) oneAPI Math Kernel Library Version '
                              '2022.2-Product Build 20220804 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: AVX512\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_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=1, '
                              'USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, '
                              'USE_ROCM_KERNEL_ASSERT=OFF, \n',
 'Python': '3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]',
 'TorchVision': '0.18.0+cu121',
 'numpy_random_seed': 2147483648,
 'opencompass': '0.2.5+d5fcf88',
 'sys.platform': 'linux'}

### Reproduces the problem - code/configuration sample

无

### Reproduces the problem - command or script

opencompass --datasets llm_compression --models hf_qwen1_5_0_5b

### Reproduces the problem - error message

Traceback (most recent call last):
  File "/data/qinyang_mou/polaris/lib/python3.10/site-packages/opencompass/tasks/openicl_eval.py", line 368, in <module>
    inferencer.run()
  File "/data/qinyang_mou/polaris/lib/python3.10/site-packages/opencompass/tasks/openicl_eval.py", line 112, in run
    self._score()
  File "/data/qinyang_mou/polaris/lib/python3.10/site-packages/opencompass/tasks/openicl_eval.py", line 218, in _score
    preds['origin_prompt'] = [None for _ in range(len(pred_strs))]
TypeError: object of type 'NoneType' has no len()


### Other information

![企业微信截图_17172065682112](https://github.com/open-compass/opencompass/assets/134621827/6bda923d-299a-4155-ad81-335fdb1bbcfc)


Thanks for the report, we will check this issue and reply soon. Please @acylam check this issue.

@mqy004 Hello! Please try to run the evaluation with the provided demo config file like the following code:
```bash
python run.py ./configs/eval_llm_compression.py --reuse latest
```

You can modify the model list, batch_size, number of gpus and more in the config file [eval_llm_compression.py](https://github.com/open-compass/opencompass/blob/main/configs/eval_llm_compression.py) to perform LLM compression evaluation to your liking. Please let us know if encounter any other issues. Thanks.

> @mqy004 Hello! Please try to run the evaluation with the provided demo config file like the following code:
> 
> ```shell
> python run.py ./configs/eval_llm_compression.py --reuse latest
> ```
> 
> You can modify the model list, batch_size, number of gpus and more in the config file [eval_llm_compression.py](https://github.com/open-compass/opencompass/blob/main/configs/eval_llm_compression.py) to perform LLM compression evaluation to your liking. Please let us know if encounter any other issues. Thanks.

![image](https://github.com/open-compass/opencompass/assets/134621827/cfd330dd-6f10-4bf9-aa36-fc16e4fdedaf)