code: def evaluation_step(self, X, **kwargs):
      self.module_.eval()
  
      X = skorch.utils.to_tensor(X, device=self.device)
      hidden = self.module_.init_hidden(self.batch_size)
      output, _ = self.module_(X, hidden)
  
      return output.view(-1, self.ntokens)
  
file_path: skorch/examples/word_language_model/net.py
imports: import skorch
  import numpy
  import torch
  from torch.autograd import Variable
  from sklearn.metrics import f1_score
label_desc: Use image node_id 6 for calling the Net obj's underlying member method code with example usage: obj.evaluation_step(X) and returns: output