This Github shows how to make  convolutional LSTM  45 in Pytorch but what do I have to do to make it bidirectional? From what I can understand to be bidirectional you have to calculate another forward pass but starting in the opposite direction and concatenate the final result of those 2 directions together? How would you implement this in pytorch?

  
      
      Towards Data Science – 13 Nov 17
  
  
    

Understanding Bidirectional RNN in PyTorch – Towards Data Science 32

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I found the above article haven’t read it yet, hopefully I can translate RNN to LSTM but it doesn’t hurt to ask here directly.