Repository: open-compass/opencompass
Issue: [Bug] ERROR: opencompass/tasks/openicl_eval.py - _score - 236 - Task [opt125m/siqa]: No predictions found.
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': None,
 'GCC': 'gcc (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0',
 'GPU 0': 'NVIDIA GeForce RTX 4070 Ti',
 'MMEngine': '0.10.3',
 'MUSA available': False,
 'OpenCV': '4.9.0',
 'PyTorch': '2.0.0+cu117',
 '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 v2.7.3 (Git Hash '
                              '6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e)\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 11.7\n'
                              '  - NVCC architecture flags: '
                              '-gencode;arch=compute_37,code=sm_37;-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\n'
                              '  - CuDNN 8.5\n'
                              '  - Magma 2.6.1\n'
                              '  - Build settings: BLAS_INFO=mkl, '
                              'BUILD_TYPE=Release, CUDA_VERSION=11.7, '
                              'CUDNN_VERSION=8.5.0, '
                              'CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, '
                              'CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 '
                              '-fabi-version=11 -Wno-deprecated '
                              '-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 -Wunused-local-typedefs '
                              '-Wno-unused-parameter -Wno-unused-function '
                              '-Wno-unused-result -Wno-strict-overflow '
                              '-Wno-strict-aliasing '
                              '-Wno-error=deprecated-declarations '
                              '-Wno-stringop-overflow -Wno-psabi '
                              '-Wno-error=pedantic -Wno-error=redundant-decls '
                              '-Wno-error=old-style-cast '
                              '-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=2.0.0, 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]',
 'numpy_random_seed': 2147483648,
 'opencompass': '0.2.1+2801883',
 'sys.platform': 'linux'}

### 重现问题 - 代码/配置示例

None

### 重现问题 - 命令或脚本

python run.py configs/eval_demo.py -w outputs/demo --debug

### 重现问题 - 错误信息

01/28 01:06:33 - OpenCompass - WARNING - SlurmRunner is not used, so the partition argument is ignored.
01/28 01:06:33 - OpenCompass - DEBUG - Modules of opencompass's partitioner registry have been automatically imported from opencompass.partitioners
01/28 01:06:33 - OpenCompass - DEBUG - Get class `SizePartitioner` from "partitioner" registry in "opencompass"
01/28 01:06:33 - OpenCompass - DEBUG - An `SizePartitioner` instance is built from registry, and its implementation can be found in opencompass.partitioners.size
01/28 01:06:33 - OpenCompass - DEBUG - Key eval.runner.task.judge_cfg not found in config, ignored.
01/28 01:06:33 - OpenCompass - DEBUG - Key eval.runner.task.dump_details not found in config, ignored.
01/28 01:06:33 - OpenCompass - DEBUG - Additional config: {}
01/28 01:06:33 - OpenCompass - INFO - Partitioned into 2 tasks.
01/28 01:06:33 - OpenCompass - DEBUG - Task 0: [opt125m/siqa,opt125m/winograd]
01/28 01:06:33 - OpenCompass - DEBUG - Task 1: [opt350m/siqa,opt350m/winograd]
01/28 01:06:33 - OpenCompass - DEBUG - Modules of opencompass's runner registry have been automatically imported from opencompass.runners
01/28 01:06:33 - OpenCompass - DEBUG - Get class `LocalRunner` from "runner" registry in "opencompass"
01/28 01:06:33 - OpenCompass - DEBUG - An `LocalRunner` instance is built from registry, and its implementation can be found in opencompass.runners.local
01/28 01:06:33 - OpenCompass - DEBUG - Modules of opencompass's task registry have been automatically imported from opencompass.tasks
01/28 01:06:33 - OpenCompass - DEBUG - Get class `OpenICLInferTask` from "task" registry in "opencompass"
01/28 01:06:33 - OpenCompass - DEBUG - An `OpenICLInferTask` instance is built from registry, and its implementation can be found in opencompass.tasks.openicl_infer
Error: mkl-service + Intel(R) MKL: MKL_THREADING_LAYER=INTEL is incompatible with libgomp-a34b3233.so.1 library.
        Try to import numpy first or set the threading layer accordingly. Set MKL_SERVICE_FORCE_INTEL to force it.
01/28 01:06:34 - OpenCompass - DEBUG - Get class `OpenICLInferTask` from "task" registry in "opencompass"
01/28 01:06:34 - OpenCompass - DEBUG - An `OpenICLInferTask` instance is built from registry, and its implementation can be found in opencompass.tasks.openicl_infer
Error: mkl-service + Intel(R) MKL: MKL_THREADING_LAYER=INTEL is incompatible with libgomp-a34b3233.so.1 library.
        Try to import numpy first or set the threading layer accordingly. Set MKL_SERVICE_FORCE_INTEL to force it.
01/28 01:06:35 - OpenCompass - DEBUG - Get class `NaivePartitioner` from "partitioner" registry in "opencompass"
01/28 01:06:35 - OpenCompass - DEBUG - An `NaivePartitioner` instance is built from registry, and its implementation can be found in opencompass.partitioners.naive
01/28 01:06:35 - OpenCompass - DEBUG - Key eval.runner.task.judge_cfg not found in config, ignored.
01/28 01:06:35 - OpenCompass - DEBUG - Key eval.runner.task.dump_details not found in config, ignored.
01/28 01:06:35 - OpenCompass - DEBUG - Additional config: {'eval': {'runner': {'task': {}}}}
01/28 01:06:35 - OpenCompass - INFO - Partitioned into 4 tasks.
01/28 01:06:35 - OpenCompass - DEBUG - Task 0: [opt125m/siqa]
01/28 01:06:35 - OpenCompass - DEBUG - Task 1: [opt125m/winograd]
01/28 01:06:35 - OpenCompass - DEBUG - Task 2: [opt350m/siqa]
01/28 01:06:35 - OpenCompass - DEBUG - Task 3: [opt350m/winograd]
01/28 01:06:35 - OpenCompass - DEBUG - Get class `LocalRunner` from "runner" registry in "opencompass"
01/28 01:06:35 - OpenCompass - DEBUG - An `LocalRunner` instance is built from registry, and its implementation can be found in opencompass.runners.local
01/28 01:06:35 - OpenCompass - DEBUG - Get class `OpenICLEvalTask` from "task" registry in "opencompass"
01/28 01:06:35 - OpenCompass - DEBUG - An `OpenICLEvalTask` instance is built from registry, and its implementation can be found in opencompass.tasks.openicl_eval
01/28 01:06:43 - OpenCompass - ERROR - /mnt/d/projects/opencompass/opencompass/tasks/openicl_eval.py - _score - 236 - Task [opt125m/siqa]: No predictions found.
01/28 01:06:43 - OpenCompass - INFO - time elapsed: 5.77s
01/28 01:06:43 - OpenCompass - DEBUG - Get class `OpenICLEvalTask` from "task" registry in "opencompass"
01/28 01:06:43 - OpenCompass - DEBUG - An `OpenICLEvalTask` instance is built from registry, and its implementation can be found in opencompass.tasks.openicl_eval
01/28 01:06:56 - OpenCompass - ERROR - /mnt/d/projects/opencompass/opencompass/tasks/openicl_eval.py - _score - 236 - Task [opt125m/winograd]: No predictions found.
01/28 01:06:56 - OpenCompass - INFO - time elapsed: 10.19s
01/28 01:06:56 - OpenCompass - DEBUG - Get class `OpenICLEvalTask` from "task" registry in "opencompass"
01/28 01:06:56 - OpenCompass - DEBUG - An `OpenICLEvalTask` instance is built from registry, and its implementation can be found in opencompass.tasks.openicl_eval
01/28 01:07:04 - OpenCompass - ERROR - /mnt/d/projects/opencompass/opencompass/tasks/openicl_eval.py - _score - 236 - Task [opt350m/siqa]: No predictions found.
01/28 01:07:04 - OpenCompass - INFO - time elapsed: 5.32s
01/28 01:07:04 - OpenCompass - DEBUG - Get class `OpenICLEvalTask` from "task" registry in "opencompass"
01/28 01:07:04 - OpenCompass - DEBUG - An `OpenICLEvalTask` instance is built from registry, and its implementation can be found in opencompass.tasks.openicl_eval
01/28 01:07:17 - OpenCompass - ERROR - /mnt/d/projects/opencompass/opencompass/tasks/openicl_eval.py - _score - 236 - Task [opt350m/winograd]: No predictions found.
01/28 01:07:17 - OpenCompass - INFO - time elapsed: 10.52s
01/28 01:07:18 - OpenCompass - DEBUG - An `DefaultSummarizer` instance is built from registry, and its implementation can be found in opencompass.summarizers.default
dataset    version    metric    mode    opt125m    opt350m
---------  ---------  --------  ------  ---------  ---------
siqa       -          -         -       -          -
winograd   -          -         -       -          -
01/28 01:07:18 - OpenCompass - INFO - write summary to /mnt/d/projects/opencompass/outputs/demo/20240128_010633/summary/summary_20240128_010633.txt
01/28 01:07:18 - OpenCompass - INFO - write csv to /mnt/d/projects/opencompass/outputs/demo/20240128_010633/summary/summary_20240128_010633.csv

### 其他信息

没有对代码进行任何修改

Is there anything in '/mnt/d/projects/opencompass/outputs/demo/20240128_010633/logs/infer' ?

In your log:
```bash
Error: mkl-service + Intel(R) MKL: MKL_THREADING_LAYER=INTEL is incompatible with libgomp-a34b3233.so.1 library.
Try to import numpy first or set the threading layer accordingly. Set MKL_SERVICE_FORCE_INTEL to force it.
```

How about  set `MKL_SERVICE_FORCE_INTEL` and try again?

> Is there anything in '/mnt/d/projects/opencompass/outputs/demo/20240128_010633/logs/infer' ?

there is no log folder in '/mnt/d/projects/opencompass/outputs/demo/20240128_010633'

> In your log:
> 
> ```shell
> Error: mkl-service + Intel(R) MKL: MKL_THREADING_LAYER=INTEL is incompatible with libgomp-a34b3233.so.1 library.
> Try to import numpy first or set the threading layer accordingly. Set MKL_SERVICE_FORCE_INTEL to force it.
> ```
> 
> How about set `MKL_SERVICE_FORCE_INTEL` and try again?

I set `MKL_SERVICE_FORCE_INTEL` using `export MKL_SERVICE_FORCE_INTEL=1` and try it again.

It seems work well, appreciate bro

Appreciated, bro