code: def __init__(self):
      super(Model, self).__init__()
      self.conv1 = nn.Conv2d(1, 6, 5)
      self.relu1 = nn.ReLU()
      self.pool1 = nn.MaxPool2d(2)
      self.conv2 = nn.Conv2d(6, 16, 5)
      self.relu2 = nn.ReLU()
      self.pool2 = nn.MaxPool2d(2)
      self.fc1 = nn.Linear(256, 120)
      self.relu3 = nn.ReLU()
      self.fc2 = nn.Linear(120, 84)
      self.relu4 = nn.ReLU()
      self.fc3 = nn.Linear(84, 10)
      self.relu5 = nn.ReLU()
  
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 1 to create a new Model object from inherited base classes: torch.nn with example: obj = Model()