title: How to implement LSTM layer with multiple cells in Pytorch?
body: <p>I intend to implement an LSTM with 2 layers and 256 cells in each layer. I am trying to understand the PyTorch LSTM framework for the same. The variables in torch.nn.LSTM that I can edit are input_size, hidden_size, num_layers, bias, batch_first, dropout and bidirectional.</p>
  
  <p>However, how do I have multiple cells in a single layer?</p>