code: def forward(self, x):
      x = self.fc1(x)
      x = self.relu1(x)
      x = self.fc2(x)
      return x
  
imports: import tempfile
  from typing import List
  import torch
  import torch.nn
  from captum.influence._core.similarity_influence import cosine_similarity, euclidean_distance, SimilarityInfluence
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from torch.utils.data import Dataset
label_desc: Use image node_id 2 for calling the BasicLinearNet obj's underlying member method code with example usage: obj.forward(x) and returns: x