You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I think the current framework does not support vanilla RNNs, LSTMs, GRUs.
These are really useful in time-series signal processing.
Is it possible to add conversion modules for the above as is already present for linear, CNN?
The text was updated successfully, but these errors were encountered:
Definitely. I have created three separate issues for (torch.nn.RNN and torch.nn.RNNCell), (torch.nn.LSTM and torch.nn.LSTMCell), and (torch.nn.GRU and torch.nn.GRUCell) modules in #92, #93, and #94, respectively.
Currently, #85 has the highest priority, i.e., the modeling of source and line resistances in passive crossbars, but once this functionality has been implemented, I can start work on implementing the above modules.
I think the current framework does not support vanilla RNNs, LSTMs, GRUs.
These are really useful in time-series signal processing.
Is it possible to add conversion modules for the above as is already present for linear, CNN?
The text was updated successfully, but these errors were encountered: