code: def forward(self, input_features):
      features_tmp = self.linear(input_features)
      features_tmp = nn.ReLU()(features_tmp)
      features_tmp = self.dropout(features_tmp)
      features_output = self.hidden2tag(features_tmp)
      return features_output
  
file_path: DeepKE/example/triple/PRGC/model.py
imports: from collections import Counter
  import torch
  import torch.nn
  from transformers import BertPreTrainedModel, BertModel
label_desc: Use image node_id 2 for calling the MultiNonLinearClassifier obj's underlying member method code with example usage: obj.forward(input_features) and returns: features_output