Repository: open-compass/opencompass
Issue: 运行评测结果为空[Bug] 
Root cause: Environment Incompatibility

### 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

我修改了代码（配置不视为代码），或者我正在处理我自己的任务/模型/数据集。

### 环境

{'CUDA available': True,
 'CUDA_HOME': '/usr/local/cuda',
 'GCC': 'gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0',
 'GPU 0,1,2,3,4,5,6,7': 'NVIDIA A800-SXM4-80GB',
 'MMEngine': '0.10.4',
 'MUSA available': False,
 'NVCC': 'Cuda compilation tools, release 11.8, V11.8.89',
 'OpenCV': '4.9.0',
 'PyTorch': '2.1.2+cu118',
 '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 v3.1.1 (Git Hash '
                              '64f6bcbcbab628e96f33a62c3e975f8535a7bde4)\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 11.8\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_37,code=sm_37;-gencode;arch=compute_90,code=sm_90\n'
                              '  - CuDNN 8.9.6\n'
                              '    - Built with CuDNN 8.7\n'
                              '  - Magma 2.6.1\n'
                              '  - Build settings: BLAS_INFO=mkl, '
                              'BUILD_TYPE=Release, CUDA_VERSION=11.8, '
                              'CUDNN_VERSION=8.7.0, '
                              '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_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 -Wno-psabi '
                              '-Wno-error=pedantic -Wno-error=old-style-cast '
                              '-Wno-invalid-partial-specialization '
                              '-Wno-unused-private-field '
                              '-Wno-aligned-allocation-unavailable '
                              '-Wno-missing-braces -fdiagnostics-color=always '
                              '-faligned-new -Wno-unused-but-set-variable '
                              '-Wno-maybe-uninitialized -fno-math-errno '
                              '-fno-trapping-math -Werror=format '
                              '-Werror=cast-function-type '
                              '-Wno-stringop-overflow, LAPACK_INFO=mkl, '
                              'PERF_WITH_AVX=1, PERF_WITH_AVX2=1, '
                              'PERF_WITH_AVX512=1, '
                              'TORCH_DISABLE_GPU_ASSERTS=ON, '
                              'TORCH_VERSION=2.1.2, USE_CUDA=ON, USE_CUDNN=ON, '
                              'USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, '
                              'USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, '
                              'USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, '
                              'USE_OPENMP=ON, USE_ROCM=OFF, \n',
 'Python': '3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0]',
 'TorchVision': '0.16.2+cu118',
 'numpy_random_seed': 2147483648,
 'opencompass': '0.2.4+94eb905',
 'sys.platform': 'linux'}


### 重现问题 - 代码/配置示例

运行python run.py --models csg-wukong-code-1B-cpt --datasets medbench
出现错误，报错文档为：
<img width="1329" alt="image" src="https://github.com/open-compass/opencompass/assets/154745577/a4512f6a-d290-4a94-8a44-e2dae12449ff">
配置文件为：
<img width="550" alt="image" src="https://github.com/open-compass/opencompass/assets/154745577/d0f5aaae-ec19-40d2-9da8-2b9e006827d7">
最后跑出来的结果为空：
<img width="888" alt="image" src="https://github.com/open-compass/opencompass/assets/154745577/a0293eb5-676b-4a66-a8f5-07e46f3b18c0">


### 重现问题 - 命令或脚本

如上

### 重现问题 - 错误信息

如上

### 其他信息

_No response_

我也遇到了同样的问题，请问你解决了吗，我就跑了官方源代码：python run.py --datasets ceval_ppl mmlu_ppl --hf-type base --hf-path /public/MountData/yaolu/LLM_pretrained/LLAMA2_7B，只是把路径换成了本地的llama

使用最新版本的 open-compass ，并在官方命令行后添加 --debug 参数，会在 ./tmp/ 路径下生成 *_debug.log 文件。
我的报错是
`Error: mkl-service + Intel(R) MKL: MKL_THREADING_LAYER=INTEL is incompatible with libgomp.so.1 library.
	Try to import numpy first or set the threading layer accordingly. Set MKL_SERVICE_FORCE_INTEL to force it.`
下面是对应的解决方法
[https://github.com/pytorch/pytorch/issues/37377](url)
即 export MKL_THREADING_LAYER=GNU
另外，此 bug 似乎是 import 顺序导致的。官方可以解决一下吗？

> export MKL_THREADING_LAYER=GNU

Hi @goosey-geo Thanks for sharing the information. I try to use export MKL_THREADING_LAYER=GNU, but I get stucked in  waiting" 0%|  | 0/1 [00:00<?, ?it/s]". Have you solved the issues?

Hello there @ppalantir I do not have this problem, here is my advise, wait for a little longer, use the --debug param to see log file or check out the 'outputs/predictions' file to see if there has a predict result.