code: def _get_init_state(self, encoder_hiddens):
      x = torch.mean(encoder_hiddens, 0)
      x = F.relu(self.init_layer(x))
      return x
  
file_path: translate/pytorch_translate/word_prediction/word_predictor.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 3 for calling the WordPredictor obj's underlying member method code with example usage: obj._get_init_state(encoder_hiddens) and returns: x