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Hello author, I have reproduced your project. When using my own dataset (with consistent format), there are only 9 types of labels. When training (GPU), an error message
RuntimeError: CUDA error: device side asset triggered will be generated.
When using CPU, the error message is
IndexError: Target 11 is out of bounds
, and I am unable to train. Do you know the reason?
The text was updated successfully, but these errors were encountered:
Hello author, I have reproduced your project. When using my own dataset (with consistent format), there are only 9 types of labels. When training (GPU), an error message
RuntimeError: CUDA error: device side asset triggered will be generated.
When using CPU, the error message is
IndexError: Target 11 is out of bounds
, and I am unable to train. Do you know the reason?
The text was updated successfully, but these errors were encountered: