Repository: open-compass/opencompass
Issue: [Bug] Evaluation got stuck when performing inference on multiple datasets using Qwen1.5-7B.
Root cause: Resource Mishandling

### 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-11.8',
 'GCC': 'gcc (GCC) 7.3.0',
 'GPU 0,1,2,3,4,5,6,7': 'NVIDIA A10',
 'MMEngine': '0.10.4',
 'MUSA available': False,
 'NVCC': 'Cuda compilation tools, release 11.8, V11.8.89',
 'OpenCV': '4.10.0',
 'PyTorch': '2.1.0+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 8.8.1\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=2.1.0, 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': '3.10.6 (main, Oct 24 2022, 16:07:47) [GCC 11.2.0]',
 'TorchVision': '0.16.0+cu118',
 'numpy_random_seed': 2147483648,
 'opencompass': '0.2.6+',
 'sys.platform': 'linux'}

### Reproduces the problem - code/configuration sample

None

### Reproduces the problem - command or script

CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python run.py --datasets  humaneval_cn_gen_6313aa  cmmlu_ppl_8b9c76  mmlu_ppl_ac766d hellaswag_10shot_ppl_59c85e ARC_c_gen_1e0de5 ARC_c_ppl_a450bd winogrande_5shot_ll_252f01 bbh_gen_98fba6 gsm8k_gen_17d0dc  deprecated_humaneval_gen_d2537e  mbpp_cn_gen_9114d5 \
    --hf-type base \
    --hf-path xxx/Qwen1.5-7B/ \
    --model-kwargs torch_dtype='torch.bfloat16' \
    --max-out-len 1024 \
    --min-out-len 1 \
    --hf-num-gpus 4 \
    --max-num-workers 2 \
    --w outputs/Qwen1.5-7B \

### Reproduces the problem - error message

The process(Task 0 stucked, Task 1 finished)  stucked, and enter ctrl+c  occurs:
![image](https://github.com/user-attachments/assets/0790495f-c309-46be-a350-de5cb538c50b)


### Other information

![image](https://github.com/user-attachments/assets/9ce42ec0-1217-4891-b0ab-bfc01f456e5a)
Task 1 stucked after inference cmmlu-college_law_1.json