code: def forward(self, input, hidden):
      with LightwoodAutocast():
          output, hidden = self.gru(input, hidden)
          output = self.dropout(output)
          output = self.out(output)
      return output, hidden
  
file_path: lightwood/lightwood/encoder/time_series/helpers/rnn_helpers.py
imports: import torch
  import torch.nn
  import numpy
  from lightwood.helpers.torch import LightwoodAutocast
label_desc: Use image node_id 2 for calling the EncoderRNNNumerical obj's underlying member method code with example usage: obj.forward(input, hidden) and returns: output,  hidden