[Bug] 偶现解码失败

[DingJuPeng1]

描述该错误

解码会偶现失败 最后的评估会因为数量不一致无法评估 请问如何回复其中一条 或者剔除这一条正常进行评估

环境信息

{'CUDA available': True,
'CUDA_HOME': '/home/work/cuda-11.3',
'GCC': 'gcc (GCC) 8.2.0',
'GPU 0,1,2,3,4,5,6,7': 'NVIDIA A100-SXM4-40GB',
'MMEngine': '0.8.2',
'NVCC': 'Cuda compilation tools, release 11.3, V11.3.58',
'OpenCV': '4.8.0',
'PyTorch': '2.0.1',
'PyTorch compiling details': 'PyTorch built with:\n'
' - GCC 9.3\n'
' - C++ Version: 201703\n'
' - Intel(R) oneAPI Math Kernel Library Version '
'2023.1-Product Build 20230303 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 11.8\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_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;-gencode;arch=compute_37,code=compute_37\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 -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=ON, USE_NNPACK=ON, '
'USE_OPENMP=ON, USE_ROCM=OFF, \n',
'Python': '3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]',
'TorchVision': '0.15.2',
'numpy_random_seed': 2147483648,
'opencompass': '0.1.0+4b0aa80',
'sys.platform': 'linux'}

其他信息

No response

[mm-assistant]

We recommend using English or English & Chinese for issues so that we could have broader discussion.

[gaotongxiao]

You can resume the experiment with -r. Read https://opencompass.readthedocs.io/en/latest/user_guides/experimentation.html#launching-an-evaluation-task for details

[DingJuPeng1]

thank u I'll have a try