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[Bug] Error occurred when running the BBH dataset

Open niexufei opened this issue 1 year ago • 1 comments

Prerequisite

Type

I'm evaluating with the officially supported tasks/models/datasets.

Environment

 'CUDA_HOME': '/usr/local/cuda',
 'GCC': 'gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0',
 'GPU 0,1,2,3': 'NVIDIA A40',
 'MMEngine': '0.10.2',
 'NVCC': 'Cuda compilation tools, release 11.8, V11.8.89',
 'OpenCV': '4.9.0',
 'PyTorch': '2.0.1+cu117',
 '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 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=2.0.1, 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': '3.10.10 (main, Sep 18 2023, 12:18:03) [GCC 9.4.0]',
 'TorchVision': '0.15.2+cu117',
 'numpy_random_seed': 2147483648,
 'opencompass': '0.2.0+c0d725a',
 'sys.platform': 'linux'}```

### Reproduces the problem - code/configuration sample

```from .datasets.bbh.bbh_gen import bbh_datasets```

### Reproduces the problem - command or script

```run bbh datasets```

### Reproduces the problem - error message

```File "/mnt/home/10293467/project/code/opencompass/.venv/lib/python3.10/site-packages/mmengine/config/config.py", line 488, in fromfile
    cfg_dict, imported_names = Config._parse_lazy_import(filename)
  File "/mnt/home/10293467/project/code/opencompass/.venv/lib/python3.10/site-packages/mmengine/config/config.py", line 1075, in _parse_lazy_import
    _base_cfg_dict, _base_imported_names = Config._parse_lazy_import(  # noqa: E501
  File "/mnt/home/10293467/project/code/opencompass/.venv/lib/python3.10/site-packages/mmengine/config/config.py", line 1075, in _parse_lazy_import
    _base_cfg_dict, _base_imported_names = Config._parse_lazy_import(  # noqa: E501
  File "/mnt/home/10293467/project/code/opencompass/.venv/lib/python3.10/site-packages/mmengine/config/config.py", line 1103, in _parse_lazy_import
    exec(
  File "configs/datasets/bbh/bbh_gen_5b92b0.py", line 44, in <module>
    with open(os.path.join(os.path.dirname(__file__), 'lib_prompt', f'{_name}.txt'), 'r') as f:
  File "/mnt/home/10293467/project/code/opencompass/.venv/lib/python3.10/site-packages/mmengine/config/lazy.py", line 205, in __call__
    raise RuntimeError()
RuntimeError

when the cfg file contains "os.path.join" operator, a runtime error occourred when mmengine load this cfg file, maybe I use the incorrect mmengine version? I tried 0.10.2 and 0.9.0, the same issue occurred. Thanks.

Other information

No response

niexufei avatar Jan 04 '24 02:01 niexufei

the .build method will return original object, so change os.path.join to os.path.join.build(), similarly others, will fix it , ref LazyAttr

Marxlp avatar Jan 31 '24 11:01 Marxlp

@niexufei Bro, have you solved this problem? How to fix it? I try to change os.path.join to os.path.join.build(), it doesn't work

keezen avatar Apr 02 '24 08:04 keezen

why is it not fixed yet????????

NickLennonLiu avatar Apr 17 '24 11:04 NickLennonLiu

the .build method will return original object, so change os.path.join to os.path.join.build(), similarly others, will fix it , ref LazyAttr

it works, thank you

niexufei avatar Apr 23 '24 07:04 niexufei