Hi,
I am new to pytorch and want to implement a pytorch version of below seq2seq model (char-level translation, a keras example):
https://keras.io/examples/lstm_seq2seq/ 3
I defined the encoder and decoder but does not know how to continue, anyone can help or is there an online implementation? Many thanks.

class encoder(nn.Module):
  def __init__(self):
    super(encoder,self).__init__()
    self.LSTM=nn.LSTM(input_size=num_encoder_tokens,hidden_size=256,batch_first=True)
    
  def forward(self,x):
    out,(h,c)=self.LSTM(x)
    return h,c
  
class decoder(nn.Module):
  def __init__(self):
    super(decoder,self).__init__()
    self.LSTM=nn.LSTM(input_size=num_decoder_tokens,hidden_size=256,batch_first=True)
    self.FC=nn.Linear(256,num_decoder_tokens)
   
  def forward(self,x,hidden_states):
    out,(h,c)=self.LSTM(x,hidden_states)
    out=self.FC(out[:, -1, :])
    return out,(h,c)