code: def forward(self, seq):
      ret = self.fc(seq)
      return ret
  
file_path: dgl/examples/pytorch/infograph/evaluate_embedding.py
imports: import numpy
  import torch
  import torch.nn
  from sklearn import preprocessing
  from sklearn.metrics import accuracy_score
  from sklearn.model_selection import GridSearchCV, StratifiedKFold
  from sklearn.svm import SVC
label_desc: Use image node_id 3 for calling the LogReg obj's underlying member method code with example usage: obj.forward(seq) and returns: ret