[Bug] ds1000数据集eval阶段报错

[bayma-1]

先决条件

• [X] 我已经搜索过 问题 和 讨论 但未得到预期的帮助。
• [X] 错误在 最新版本 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': '/usr/local/cuda', 'GCC': 'gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0', 'GPU 0,1,2,3,4,5,6,7': 'Tesla V100-PCIE-32GB', 'MMEngine': '0.10.4', 'MUSA available': False, 'NVCC': 'Cuda compilation tools, release 12.1, V12.1.66', 'OpenCV': '4.10.0', 'PyTorch': '2.3.1+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 v3.3.6 (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 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 8.7\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 -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=2.3.1, ' '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': '3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]', 'TorchVision': '0.18.1+cu118', 'numpy_random_seed': 2147483648, 'opencompass': '0.2.6+bb0a37d', 'sys.platform': 'linux'}

重现问题 - 代码/配置示例

CUDA_VISIBLE_DEVICES=3 python run.py --datasets ds1000_gen_cbc84f
--hf-type base
--hf-path path_to_Qwen1.5-0.5B
--tokenizer-path path_to_Qwen1.5-0.5B
--tokenizer-kwargs padding_side='left' truncation='left' trust_remote_code=True
--model-kwargs device_map='auto'
--max-seq-len 2048
--max-out-len 100
--min-out-len 100
--batch-size 4
--hf-num-gpus 1

重现问题 - 命令或脚本

CUDA_VISIBLE_DEVICES=3 python run.py --datasets ds1000_gen_cbc84f
--hf-type base
--hf-path path_to_Qwen1.5-0.5B
--tokenizer-path path_to_Qwen1.5-0.5B
--tokenizer-kwargs padding_side='left' truncation='left' trust_remote_code=True
--model-kwargs device_map='auto'
--max-seq-len 2048
--max-out-len 100
--min-out-len 100
--batch-size 4
--hf-num-gpus 1

重现问题 - 错误信息

concurrent.futures.process._RemoteTraceback: """ Traceback (most recent call last): File "/root/anaconda3/envs/opencompass/lib/python3.10/concurrent/futures/process.py", line 246, in _process_worker r = call_item.fn(*call_item.args, **call_item.kwargs) File "/root/anaconda3/envs/opencompass/lib/python3.10/concurrent/futures/process.py", line 205, in _process_chunk return [fn(*args) for args in chunk] File "/root/anaconda3/envs/opencompass/lib/python3.10/concurrent/futures/process.py", line 205, in return [fn(*args) for args in chunk] File "/home/baymax/opencompass/opencompass/datasets/ds1000.py", line 234, in score_single test_module = import_source_file(tempdir_name / 'test_code.py', File "/home/baymax/opencompass/opencompass/datasets/ds1000.py", line 342, in import_source_file spec.loader.exec_module(module) File "", line 883, in exec_module File "", line 241, in _call_with_frames_removed File "/tmp/tmp66d5d5xt/test_code.py", line 3, in ModuleNotFoundError: No module named 'parser' """

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "/home/baymax/opencompass/opencompass/tasks/openicl_eval.py", line 368, in inferencer.run() File "/home/baymax/opencompass/opencompass/tasks/openicl_eval.py", line 112, in run self._score() File "/home/baymax/opencompass/opencompass/tasks/openicl_eval.py", line 223, in _score result = icl_evaluator.score(**preds) File "/home/baymax/opencompass/opencompass/datasets/ds1000.py", line 273, in score list(executor.map(self.score_single, predictions, references))) File "/root/anaconda3/envs/opencompass/lib/python3.10/concurrent/futures/process.py", line 575, in _chain_from_iterable_of_lists for element in iterable: File "/root/anaconda3/envs/opencompass/lib/python3.10/concurrent/futures/_base.py", line 621, in result_iterator yield _result_or_cancel(fs.pop()) File "/root/anaconda3/envs/opencompass/lib/python3.10/concurrent/futures/_base.py", line 319, in _result_or_cancel return fut.result(timeout) File "/root/anaconda3/envs/opencompass/lib/python3.10/concurrent/futures/_base.py", line 451, in result return self.__get_result() File "/root/anaconda3/envs/opencompass/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result raise self._exception ModuleNotFoundError: No module named 'parser'

其他信息

1. 使用pip install -e .来安装的环境

2. launch OpenICLInfer[Qwen1.5-0.5B_hf/ds1000_Pandas,Qwen1.5-0.5B_hf/ds1000_Numpy,Qwen1.5-0.5B_hf/ds1000_Tensorflow,Qwen1.5-0.5B_hf/ds1000_Scipy,Qwen1.5-0.5B_hf/ds1000_Sklearn,Qwen1.5-0.5B_hf/ds1000_Pytorch,Qwen1.5-0.5B_hf/ds1000_Matplotlib] on GPU 3 阶段是正常的

3. launch OpenICLEval[Qwen1.5-0.5B_hf/ds1000_Matplotlib] on CPU 的时候报错

4. ds1000_Pandas、ds1000_Numpy、ds1000_Scipy、ds1000_Sklearn 都是同样的错误，其他的几个是没有问题的 dataset version metric mode Qwen1.5-0.5B_hf ds1000_Pandas - - - - ds1000_Numpy - - - - ds1000_Tensorflow 353ae7 accuracy gen 0.00 ds1000_Scipy - - - - ds1000_Sklearn - - - - ds1000_Pytorch 353ae7 accuracy gen 0.00 ds1000_Matplotlib 353ae7 accuracy gen 0.05

5. 请问这个错误和python版本有关系吗？