Repository: open-compass/opencompass
Issue: [Bug] No predictions found
Root cause: Environment Incompatibility

### 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': False,
 'GCC': 'gcc (Ubuntu 12.3.0-1ubuntu1~23.04) 12.3.0',
 'MMEngine': '0.10.4',
 'MUSA available': False,
 'OpenCV': '4.10.0',
 'PyTorch': '2.4.0+rocm6.1',
 '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 v3.4.2 (Git Hash '
                              '1137e04ec0b5251ca2b4400a4fd3c667ce843d67)\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'
                              '  - Build settings: BLAS_INFO=mkl, '
                              'BUILD_TYPE=Release, '
                              '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_NOCUPTI -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=OFF, USE_CUDNN=OFF, '
                              'USE_CUSPARSELT=OFF, 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=ON, USE_ROCM_KERNEL_ASSERT=OFF, \n',
 'Python': '3.10.14 (main, May  6 2024, 19:42:50) [GCC 11.2.0]',
 'TorchVision': '0.19.0+rocm6.1',
 'lmdeploy': "not installed:No module named 'lmdeploy'",
 'numpy_random_seed': 2147483648,
 'opencompass': '0.3.0+88eb912',
 'sys.platform': 'linux',
 'transformers': '4.44.0'}

### Reproduces the problem - code/configuration sample

CUDA_VISIBLE_DEVICES=0 python -u run.py --datasets commonsenseqa_gen --hf-num-gpus 1 --hf-type base --hf-path microsoft/phi-2 --debug --model-kwargs device_map='auto' trust_remote_code=True --batch-size 1


### Reproduces the problem - command or script

CUDA_VISIBLE_DEVICES=0 python -u run.py --datasets commonsenseqa_gen --hf-num-gpus 1 --hf-type base --hf-path microsoft/phi-2 --debug --model-kwargs device_map='auto' trust_remote_code=True --batch-size 1


### Reproduces the problem - error message

08/08 22:25:19 - OpenCompass - ERROR - /rhome/sriyar/Sriya/opencompass/opencompass/tasks/openicl_eval.py - _score - 253 - Task [phi-2_hf/commonsense_qa]: No predictions found.


### Other information

_No response_

Have a look at the output folder and check the log if there is something wrong with the inference stage

Also please check the log file in `tmp` folder.

Thanks! I checked the logs in tmp folder. Seems like Faiss-gpu package needs to be installed. It's working now.

Please update readme/requirements to include pip install Faiss-gpu


> Also please check the log file in `tmp` folder.

Same issue here. I have installed the `faiss-cpu` package, and the evaluation process went successfully, but in my output markdown or csv, there is on results. And I check my `tmp` dir`, there is also nothing. So, how can I solve this problem?

<img width="711" alt="Image" src="https://github.com/user-attachments/assets/bfd5000a-8d05-42b5-843d-cebb61936838" />