Ah after sending this I directly found the property:

  
      github.com
  
  
    pytorch/pytorch/blob/master/torch/nn/modules/rnn.py#L203 15

        self.input_size,
        self.hidden_size,
        num_layers=self.num_layers,
        batch_first=self.batch_first,
        dropout=self.dropout,
        train=self.training,
        bidirectional=self.bidirectional,
        batch_sizes=batch_sizes,
        dropout_state=self.dropout_state,
        flat_weight=flat_weight
    )
    output, hidden = func(input, self.all_weights, hx)
    if is_packed:
        output = PackedSequence(output, batch_sizes)
    return output, hidden


def __repr__(self):
    s = '{name}({input_size}, {hidden_size}'
    if self.num_layers != 1:
        s += ', num_layers={num_layers}'
    if self.bias is not True:



  
  
    
    
  
  


Thanks,
#close