code: def forward(self, x):
      y = self.conv1(x)
      y = self.relu1(y)
      y = self.pool1(y)
      y = self.conv2(y)
      y = self.relu2(y)
      y = self.pool2(y)
      y = y.reshape(y.shape[0], -1)
      y = self.fc1(y)
      y = self.relu3(y)
      y = self.fc2(y)
      y = self.relu4(y)
      y = self.fc3(y)
      y = self.relu5(y)
      return y
  
file_path: apex/tests/L0/run_optimizers/test_adam.py
imports: import copy
  import math
  import random
  import unittest
  import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.forward(x) and returns: y