training RawNet3 with new dataset

[Angela BR]

Hi,

When training Rawnet3 with the default config I get this error:

/pytorch/aten/src/ATen/native/cuda/ScatterGatherKernel.cu:312: operator(): block: [0,0,0], thread: [0,0,0] Assertion idx_dim >= 0 && idx_dim < index_size && "index out of bounds" failed.

Changing nClasses to a bigger number solves the problem but it looks like the model doesn't learn as EER gets stuck at 0, could you point me in the right direction to solve this?

Thank you

Angela BR

[Jungjee]

Hi, I think the error might have occurred because you did not set nClasses correctly.
Can you confirm if your nClasses is bigger than the actual number of speakers?