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/home/qwq/anaconda3/envs/opencompass/lib/python3.10/site-packages/datasets/load.py:1486: FutureWarning: The repository for winograd_wsc contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/winograd_wsc
You can avoid this message in future by passing the argument trust_remote_code=True.
Passing trust_remote_code=True will be mandatory to load this dataset from the next major release of datasets.
warnings.warn(
Other information
无法读取ppl类数据集内容,但gen类正常
The text was updated successfully, but these errors were encountered:
Prerequisite
Type
I have modified the code (config is not considered code), or I'm working on my own tasks/models/datasets.
Environment
{'CUDA available': True, “CUDA available”:True,
'CUDA_HOME': None, 'CUDA_HOME':无,
'GCC': 'gcc (Ubuntu 11.4.0-1ubuntu1
22.04) 11.4.0',22.04)11.4.0','GCC':'GCC(Ubuntu 11.4.0-1ubuntu1
'GPU 0': 'NVIDIA GeForce RTX 4090 D',
'GPU 0':'NVIDIA GeForce RTX 4090 D',
'MMEngine': '0.10.4', 'MMCengine':'0.10.4',
'MUSA available': False,
'MUSA available':False,
'OpenCV': '4.9.0', 'OpenCV':'4.9.0',
'PyTorch': '2.3.0', 'PyTorch':' 2.3.0',
'PyTorch compiling details': 'PyTorch built with:\n'
'PyTorch编译详细信息':'PyTorch构建时使用:\n'
' - GCC 9.3\n'
GCC 9.3\n的
' - C++ Version: 201703\n'
C++版本:201703\n
' - Intel(R) oneAPI Math Kernel Library Version '
' -英特尔(R)oneAPI数学内核库版本'
'2023.1-Product Build 20230303 for Intel(R) 64 '
'2023.1-英特尔® 64产品构建20230303'
'architecture applications\n'
'体系结构应用程序\n'
' - Intel(R) MKL-DNN v3.3.6 (Git Hash '
' -英特尔(R)MKL-DNN v3.3.6(Git Hash '
'86e6af5974177e513fd3fee58425e1063e7f1361)\n'
'86e6af5974177e513fd3fee58425e1063e7f1361)\n'
' - OpenMP 201511 (a.k.a. OpenMP 4.5)\n'
'—OpenMP 201511(a.k.a. OpenMP 4.5)\n '
' - LAPACK is enabled (usually provided by '
' - LAPACK已启用(通常由'
'MKL)\n' 'MKL)\n'
' - NNPACK is enabled\n'
'—NNPACK已启用\n'
' - CPU capability usage: AVX2\n'
'—CPU能力使用率:AVX2\n'
' - CUDA Runtime 12.1\n'
' - CUDA 12.1\n'
' - NVCC architecture flags: '
' - NVCC体系结构标志:'
'-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-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'
'-gencode; arch= compute_50,code =sm_50;-gencode;arch= compute_60,code =sm_60;-gencode;arch= compute_61,code =sm_61;-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, '
' -构建设置:BLAS_INFO=mkl,'
'BUILD_TYPE=Release, CUDA_VERSION=12.1, '
'BUILD_TYPE=Release,CUDA_VERSION=12.1,'
'CUDNN_VERSION=8.9.2, ' 'CUDNN_VERSION=8.9.2,'
'CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, '
'CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++,'
'CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 '
'-fabi-version=11 -fvisibility-inlines-hidden '
'-fabi-version=11 -fabability-inlines-hidden '
'-DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO '
'-DLIBKINETO_NOROCTRACER -DUSE_FBGEMM '
'-DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK '
'-DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE '
'-DUSE_XNNPACK -DSYMBOLICATE_移动的_DEBUG_HANDLE '
'-O2 -fPIC -Wall -Wextra -Werror=return-type '
'-O2 -fPIC -Wall -Wextra -Werror=返回类型'
'-Werror=non-virtual-dtor -Werror=bool-operation '
'-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-stringop-overflow -Wrest-override'
'-Wno-psabi -Wno-error=pedantic '
'-Wno-psabi -Wno-error=迂腐'
'-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, '
'-Wno-stringop-overflow,LAPACK_INFO=mkl,'
'PERF_WITH_AVX=1, PERF_WITH_AVX2=1, '
PERF_WITH_AVX = 1,PERF_WITH_AVX2 = 1,
'PERF_WITH_AVX512=1, TORCH_VERSION=2.3.0, '
PERF_WITH_AVX512 = 1,TORCH_VERSION = 2.3.0,这是怎么回事?
'USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, '
USE_CUDA = ON,USE_CUDNN = ON,USE_CUPARSELT = 1,USE_CUDNN = ON,USE_CUDA = ON,USE_CUDNN = ON
'USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, '
'USE_EXCEPTION_PTR=1,USE_GFLAGS=OFF,'
'USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, '
USE_GLOG = OFF,USE_GLOO = ON,USE_MKL = ON,这是怎么回事?
'USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, '
USE_MKLDNN = ON,USE_MPI = OFF,USE_NCCL = ON,这是怎么回事?
'USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, '
USE_NNPACK = ON,USE_OPENMP = ON,USE_ROCM = OFF,使用:
'USE_ROCM_KERNEL_ASSERT=OFF, \n',
'USE_ROCM_KERNEL_ASSERT=OFF,\n',
'Python': '3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]',
'Python':'3.10.14(main,May 6 2024,19:42:50)[GCC 11.2.0',
'TorchVision': '0.18.0',
'TorchVision':'0.18.0',
'numpy_random_seed': 2147483648,
'numpy_random_seed':2147483648,
'opencompass': '0.2.5+d656e81',
'opencompass':'0.2.5+ d656e81',
'sys.platform': 'linux'}
"sys. platform":"linux"}
Reproduces the problem - code/configuration sample
Attempt to modify the "run(self)" function in tools/case_analyzer.py
Reproduces the problem - command or script
python tools/case_analyzer.py configs/eval_demo.py
Reproduces the problem - error message
/home/qwq/anaconda3/envs/opencompass/lib/python3.10/site-packages/datasets/load.py:1486: FutureWarning: The repository for winograd_wsc contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/winograd_wsc
You can avoid this message in future by passing the argument
trust_remote_code=True
.Passing
trust_remote_code=True
will be mandatory to load this dataset from the next major release ofdatasets
.warnings.warn(
Other information
无法读取ppl类数据集内容,但gen类正常
The text was updated successfully, but these errors were encountered: