code: def __init__(self):
      super(linearModel, self).__init__()
      self.linear = nn.Linear(1, 1)
      # Let's fill in the weight by ourselves so that we can later change it.
      self.linear.weight.data.fill_(1.245)
  
imports: import torch.nn.functional
  import torch, os, io
  import base64
  import torch.nn
  import unittest
  import random
  from bigdl.nano.pytorch.patching import patch_encryption
  import torch.optim
label_desc: Use image node_id 1 to create a new linearModel object from inherited base classes: nn with example: obj = linearModel()