lstm_out = lstm_out.contiguous().view(-1, self.hidden_dim)

lstm_out, hidden = self.lstm(embeds, hidden)

lstm_out, hidden = self.lstm(embeds, hidden)
print(lstm_out) # imagine a sample output like [1,0 , 2,0]
                #                      forward out  | backward out

stacked = lstm_out.contiguous().view(-1,hidden_dim) # hidden_dim = 2

print(stacked) # torch.Tensor([[1,0],
               #               [2,0]])