code: def __init__(self):
      super().__init__()
      self.fc1 = torch.nn.Linear(10, 1)
  
imports: import collections
  import io
  import logging
  import os
  import unittest
  import crypten
  import torch
  from crypten.common.tensor_types import is_float_tensor
  from crypten.config import cfg
  from crypten.nn import onnx_converter
  from test.multiprocess_test_case import get_random_test_tensor, MultiProcessTestCase, onehot
label_desc: Use image node_id 1 to create a new PyTorchLinear object from inherited base classes: torch.nn with example: obj = PyTorchLinear()