1. I have searched related issues but cannot get the expected help.
2. I have read the FAQ documentation but cannot get the expected help.
3. The unexpected results still exist in the latest version.

Describe the Issue
This bug occurs when I use mmrotate, but it's caused by the Unexpected polys value. So I think it might be a mmcv bug.

For some specific pts tensor value:

pts = torch.load('pts.pt').detach().cpu().cuda()
polys = min_area_polygons(pts)
bboxes = poly2obb(polys, self.version)

will return:

RuntimeError:CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

for any self.version, same error returned.
The pts.pt file is in the attachment

Environment
{'sys.platform': 'linux', 'Python': '3.9.0 (default, Nov 15 2020, 14:28:56) [GCC 7.3.0]', 'CUDA available': True, 'GPU 0,1,2,3,4,5,6,7': 'GeForce RTX 3090', 'CUDA_HOME': '/usr/local/cuda', 'NVCC': 'Cuda compilation tools, release 11.3, V11.3.58', 'GCC': 'gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0', 'PyTorch': '1.11.0+cu113', 'PyTorch compiling details': 'PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\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 11.3\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 8.2\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -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 -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n', 'TorchVision': '0.12.0+cu113', 'OpenCV': '4.6.0', 'MMCV': '1.7.0', 'MMCV Compiler': 'GCC 9.3', 'MMCV CUDA Compiler': '11.3'}

BTW, I have tested this code on mmcv 1.6.1/1.6.2/1.7.0, and get the same error

Error traceback

Bug fix
I guess this bug might caused by some specific pts value, so I just add a minor random noise to avoid the bug.

pts = pts + torch.rand(pts.shape).to(pts.device) * 0.0001
polys = min_area_polygons(pts)
bboxes = poly2obb(polys, self.version)

This noise is very small, so the evaluation results is almost consistent.
pts.pt.zip