Read before creating a new issue

Users who want to use SpikingJelly should first be familiar with the usage of PyTorch.
If you do not know much about PyTorch, we recommend that the user can learn the basic tutorials of PyTorch.
Do not ask for help with the basic conception of PyTorch/Machine Learning but not related to SpikingJelly. For these questions, please refer to Google or PyTorch Forums.

For faster response

You can @ the corresponding developers for your issue. Here is the division:

Features	Developers
Neurons and Surrogate Functions	fangwei123456 Yanqi-Chen
CUDA Acceleration	fangwei123456 Yanqi-Chen
Reinforcement Learning	lucifer2859
ANN to SNN Conversion	DingJianhao Lyu6PosHao
Biological Learning (e.g., STDP)	AllenYolk
Others	Grasshlw lucifer2859 AllenYolk Lyu6PosHao DingJianhao Yanqi-Chen fangwei123456

We are glad to add new developers who are volunteering to help solve issues to the above table.

Issue type

SpikingJelly version

0.0.0.0.2

Description

...

Minimal code to reproduce the error/bug

import spikingjelly
# ...

ANNLSTM

self.lstm = nn.LSTM( input_size=in_features * node_num, hidden_size=lstm_features, num_layers=1, batch_first=True, dropout=dropout)

self.lstm = rnn.SpikingLSTM( input_size=in_features * node_num, hidden_size=lstm_features, num_layers=1)