CUDA error: an illegal memory access was encountered
I encountered some errors when running the run_speech_recognition_ctc_streaming.sh by `deepspeed` ( `torchrun --nproc_per_node 1 ... `) and his issue consistently occurs with my custom corpora.
Does anyone have any ideas? (I can fine-tune successfully using the Common Voice corpus)

environment:
gpu number: 1
export CUDA_LAUNCH_BLOCKING=1
export TORCH_USE_CUDA_DSA=1

```
terminate called after throwing an instance of 'c10::Error'                                                                                                                           
  what():  CUDA error: an illegal memory access was encountered                                                                                                                        
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.                                                                                                                    
                                                                                                                                                                                       
Exception raised from c10_cuda_check_implementation at ../c10/cuda/CUDAException.cpp:44 (most recent call first):                                                                      
frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f7b400ef097 in /usr/local/lib/python3.10/dist-packages/torch/lib/libc10.so)                                   
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::string const&) + 0x64 (0x7f7b400aaa33 in /usr/local/lib/python3.10/dist-packages/torch/lib/libc10.so)                                                                                                                                                                                      
frame #2: c10::cuda::c10_cuda_check_implementation(int, char const*, char const*, int, bool) + 0x118 (0x7f7b4019d5a8 in /usr/local/lib/python3.10/dist-packages/torch/lib/libc10_cuda.so)                                                                                                                                                                                     
frame #3: <unknown function> + 0x1f3de (0x7f7b401663de in /usr/local/lib/python3.10/dist-packages/torch/lib/libc10_cuda.so)                                                            
frame #4: <unknown function> + 0x22650 (0x7f7b40169650 in /usr/local/lib/python3.10/dist-packages/torch/lib/libc10_cuda.so)                                                            
frame #5: <unknown function> + 0x22a35 (0x7f7b40169a35 in /usr/local/lib/python3.10/dist-packages/torch/lib/libc10_cuda.so)                                                            
frame #6: <unknown function> + 0x4ef710 (0x7f7af1667710 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_python.so)                                                       
frame #7: c10::TensorImpl::~TensorImpl() + 0x1e3 (0x7f7b400cc393 in /usr/local/lib/python3.10/dist-packages/torch/lib/libc10.so)                                                       
frame #8: c10::TensorImpl::~TensorImpl() + 0x9 (0x7f7b400cc529 in /usr/local/lib/python3.10/dist-packages/torch/lib/libc10.so)                                                         
frame #9: <unknown function> + 0x7761b8 (0x7f7af18ee1b8 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_python.so)                                                       
frame #10: THPVariable_subclass_dealloc(_object*) + 0x2c6 (0x7f7af18ee506 in /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch_python.so)                                     
frame #11: <unknown function> + 0x1388e1 (0x5580685a58e1 in /usr/bin/python3)                                                                                                          
frame #12: <unknown function> + 0x1386dc (0x5580685a56dc in /usr/bin/python3)                                                                                                          
frame #13: <unknown function> + 0x138787 (0x5580685a5787 in /usr/bin/python3)                                                                                                          
frame #14: <unknown function> + 0x174ac1 (0x5580685e1ac1 in /usr/bin/python3)                                                                                                          
frame #15: <unknown function> + 0x153090 (0x5580685c0090 in /usr/bin/python3)                                                                                                          
frame #16: <unknown function> + 0x166918 (0x5580685d3918 in /usr/bin/python3)                                                                                                          
frame #17: <unknown function> + 0x2593a7 (0x5580686c63a7 in /usr/bin/python3)                                                                                                          
frame #18: <unknown function> + 0x17a7b0 (0x5580685e77b0 in /usr/bin/python3)                                                                                                          
frame #19: <unknown function> + 0x25f5c1 (0x5580686cc5c1 in /usr/bin/python3)                                                                                                          
frame #20: _PyEval_EvalFrameDefault + 0x7a99 (0x5580685b9b49 in /usr/bin/python3)                                                                                                      
frame #21: <unknown function> + 0x16ac31 (0x5580685d7c31 in /usr/bin/python3)                                                                                                          
frame #22: PyObject_Call + 0x122 (0x5580685d88e2 in /usr/bin/python3)                                                                                                                  
frame #23: <unknown function> + 0x27c30c (0x5580686e930c in /usr/bin/python3)                                                                                                          
frame #24: _PyObject_MakeTpCall + 0x25b (0x5580685c04ab in /usr/bin/python3)                                                                                                           
frame #25: _PyEval_EvalFrameDefault + 0x1a2f (0x5580685b3adf in /usr/bin/python3)                                                                                                      
frame #26: <unknown function> + 0x16ac31 (0x5580685d7c31 in /usr/bin/python3)                                                                                                          
frame #27: _PyEval_EvalFrameDefault + 0x1a2f (0x5580685b3adf in /usr/bin/python3)                                                                                                      
frame #28: _PyFunction_Vectorcall + 0x7c (0x5580685ca1ec in /usr/bin/python3)                                                                                                          
frame #29: _PyEval_EvalFrameDefault + 0x6d5 (0x5580685b2785 in /usr/bin/python3)                                                                                                       
frame #30: <unknown function> + 0x141ed6 (0x5580685aeed6 in /usr/bin/python3)                                                                                                          
frame #31: PyEval_EvalCode + 0x86 (0x5580686a5366 in /usr/bin/python3)                                                                                                                 
frame #32: <unknown function> + 0x265108 (0x5580686d2108 in /usr/bin/python3)                                                                                                          
frame #33: <unknown function> + 0x25df5b (0x5580686caf5b in /usr/bin/python3)                                                                                                          
frame #34: <unknown function> + 0x264e55 (0x5580686d1e55 in /usr/bin/python3)                                                                                                          
frame #35: _PyRun_SimpleFileObject + 0x1a8 (0x5580686d1338 in /usr/bin/python3)                                                                                                        
frame #36: _PyRun_AnyFileObject + 0x43 (0x5580686d1033 in /usr/bin/python3)                                                                                                            
frame #37: Py_RunMain + 0x2be (0x5580686c22de in /usr/bin/python3)                                                                                                                     
frame #38: Py_BytesMain + 0x2d (0x55806869832d in /usr/bin/python3)                                                                                                                    
frame #39: <unknown function> + 0x29d90 (0x7f7b5c24ad90 in /lib/x86_64-linux-gnu/libc.so.6)                                                                                            
frame #40: __libc_start_main + 0x80 (0x7f7b5c24ae40 in /lib/x86_64-linux-gnu/libc.so.6)                                                                                                
frame #41: _start + 0x25 (0x558068698225 in /usr/bin/python3)                                                                                                                          

ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: -6) local_rank: 0 (pid: 24134) of binary: /usr/bin/python3
```

This doesn't solve my problem by `pip3 install numpy --pre torch torchvision torchaudio --force-reinstall --index-url https://download.pytorch.org/whl/nightly/cu117`

What's your deepspeed version. Probably try to upgrade it and check again.

You can follow [this issue page](https://github.com/microsoft/DeepSpeed/issues/3373).
<|||||>ds_report
```
DeepSpeed general environment info:
torch install path ............... ['/home/ubuntu/.local/lib/python3.10/site-packages/torch']
torch version .................... 2.0.1+cu117
deepspeed install path ........... ['/usr/local/lib/python3.10/dist-packages/deepspeed']
deepspeed info ................... 0.9.5, unknown, unknown
torch cuda version ............... 11.7
torch hip version ................ None
nvcc version ..................... 11.5
deepspeed wheel compiled w. ...... torch 0.0, cuda 0.0
```

I have tried not using DeepSpeed, but the issue still occurs.<|||||>> I can fine-tune successfully using the Common Voice corpus

If the same way of launching the training works for one dataset but not for another, and we don't have access to the second dataset (your custom corpora), we won't be able to help unfortunately.<|||||>I think I can try debugging, but I don't have any ideas. Do you have any suggestions or directions?<|||||>This thread https://github.com/microsoft/DeepSpeed/issues/3373 is a better place. You can ask those people how they solved the issue.<|||||>ok, thanks<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.