When I use 8 A40 images to continue pre-training the XLSR-53 2B pre-training model, I always get an error message: Expected is_sm80 to be true, but got false. (could this error message be improved? If so, please report an enhancement request to pytorch) How can I solve this problem?

[Learneducn]

🐛 Bug

To Reproduce

Steps to reproduce the behavior (always include the command you ran):

1. Run cmd '....'
2. See error

Code sample

Expected behavior

Environment

• fairseq Version (e.g., 1.0 or main):
• PyTorch Version (e.g., 1.0)
• OS (e.g., Linux):
• How you installed fairseq (pip, source):
• Build command you used (if compiling from source):
• Python version:
• CUDA/cuDNN version:
• GPU models and configuration:
• Any other relevant information:

Additional context

[Learneducn]

When I use 8 A40 images to continue pre-training the XLSR-53 2B pre-training model, I always get an error message: Expected is_sm80 to be true, but got false. (could this error message be improved? If so, please report an enhancement request to pytorch)
How can I solve this problem?