[Bug] llm-compression task faild at eval stage with latest version

[mqy004]

Prerequisite

• [X] I have searched Issues and Discussions but cannot get the expected help.
• [X] The bug has not been fixed in the latest version.

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 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['originprompt'] = [None for in range(len(pred_strs))] TypeError: object of type 'NoneType' has no len()

Other information

[tonysy]

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

[acylam]

@mqy004 Hello! Please try to run the evaluation with the provided demo config file like the following code:

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 to perform LLM compression evaluation to your liking. Please let us know if encounter any other issues. Thanks.

[mqy004]

@mqy004 Hello! Please try to run the evaluation with the provided demo config file like the following code:

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 to perform LLM compression evaluation to your liking. Please let us know if encounter any other issues. Thanks.