I had some trouble，could you help me?

[Xiaoxue Li]

Thanks for your reply！！！
According to your ground truth，I made the ground truth of my dataset .But during the training, there was a problem，which I've compiled below. Emmmm, Can you help me? Maybe my dataset is too messy, and their boundaries are not obvious.What advice would you offer to me?

RuntimeError: CUDA error: an illegal memory access was encountered
terminate called after throwing an instance of 'c10::Error'
what(): CUDA error: an illegal memory access was encountered (insert_events at /pytorch/c10/cuda/CUDACachingAllocator.cpp:564)
frame #0: std::function<std::string ()>::operator()() const + 0x11 (0x7f5345247441 in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libc10.so)
frame #1: c10::Error::Error(c10::SourceLocation, std::string const&) + 0x2a (0x7f5345246d7a in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libc10.so)
frame #2: + 0x13652 (0x7f534261a652 in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libc10_cuda.so)
frame #3: c10::TensorImpl::release_resources() + 0x50 (0x7f5345237ce0 in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libc10.so)
frame #4: + 0x30facb (0x7f52f071aacb in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libtorch.so.1)
frame #5: + 0x376d60 (0x7f52f0781d60 in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libtorch.so.1)
frame #6: + 0x3128ea (0x7f52f071d8ea in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libtorch.so.1)
frame #7: torch::autograd::deleteFunction(torch::autograd::Function*) + 0xa2 (0x7f52f071d9a2 in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libtorch.so.1)
frame #8: std::_Sp_counted_base<(__gnu_cxx::_Lock_policy)2>::_M_release() + 0xa2 (0x7f5330b81bb2 in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libtorch_python.so)
frame #9: + 0x14216b (0x7f5330ba516b in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libtorch_python.so)
frame #10: + 0x1421d9 (0x7f5330ba51d9 in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libtorch_python.so)
frame #11: torch::autograd::Variable::Impl::release_resources() + 0x1b (0x7f52f0d5708b in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libtorch.so.1)
frame #12: + 0x1420bb (0x7f5330ba50bb in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libtorch_python.so)
frame #13: + 0x3c30f4 (0x7f5330e260f4 in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libtorch_python.so)
frame #14: + 0x3c3141 (0x7f5330e26141 in /home/r/.conda/envs/pytorch/lib/python3.6/site-packages/torch/lib/libtorch_python.so)
frame #15: + 0x19aa5e (0x55791a64ba5e in /home/r/.conda/envs/pytorch/bin/python3)
frame #16: + 0xf1b77 (0x55791a5a2b77 in /home/r/.conda/envs/pytorch/bin/python3)
frame #17: + 0xf1a07 (0x55791a5a2a07 in /home/r/.conda/envs/pytorch/bin/python3)
frame #18: + 0xf1a1d (0x55791a5a2a1d in /home/r/.conda/envs/pytorch/bin/python3)
frame #19: + 0xf1a1d (0x55791a5a2a1d in /home/r/.conda/envs/pytorch/bin/python3)
frame #20: PyDict_SetItem + 0x3da (0x55791a5e963a in /home/r/.conda/envs/pytorch/bin/python3)
frame #21: PyDict_SetItemString + 0x4f (0x55791a5f065f in /home/r/.conda/envs/pytorch/bin/python3)
frame #22: PyImport_Cleanup + 0x99 (0x55791a655d89 in /home/r/.conda/envs/pytorch/bin/python3)
frame #23: Py_FinalizeEx + 0x61 (0x55791a6c0231 in /home/r/.conda/envs/pytorch/bin/python3)
frame #24: Py_Main + 0x35e (0x55791a6ca57e in /home/r/.conda/envs/pytorch/bin/python3)
frame #25: main + 0xee (0x55791a59488e in /home/r/.conda/envs/pytorch/bin/python3)
frame #26: __libc_start_main + 0xf0 (0x7f5348fdd830 in /lib/x86_64-linux-gnu/libc.so.6)
frame #27: + 0x1c3160 (0x55791a674160 in /home/r/.conda/envs/pytorch/bin/python3)

[Xia Li 李夏]

Hi, RIKOYUKI!
I have also encountered this problem.
It happens when the label index doesn't match with the class number.
Here I show two examples:

1. The label index is less than 0.
2. You input a prediciton of 7 classes, but the label is 9.