snntorch
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training datasets of variable time steps
- currently, the initialization of state variables step is only equipped for one common time step
possible solutions:
- modifying the init step to adjust to the input first dimension
- zero-extension along the time axis (sloppy fix, and might need a warning displayed to inform the user). Might be best for user to implement this themselves. Thoughts are welcome.