Tensor size mismatch issue

[berkut0]

When running on a database after preprocessing, the following error occurs: The size of tensor a (118) must match the size of tensor b (119) at non-singleton dimension 2

Changing the architecture from v2_small to v1 changes the number of b tensors from 119 to 121

To be honest, I'm not familiar with learning networks and can't even guess what this is about. If you have any ideas on how to solve this, any ideas would be greatly appreciated. I'm doing the training on the local machine.

I think the same issue: https://github.com/acids-ircam/RAVE/issues/157

preprocessing rave preprocess --channels 2 -v 1 --input_path .\ --output_path .\dataset --sampling_rate 96000

training rave train --config v2_small --db_path .\dataset --out_path .\model --name electron --channels 2