code: def forward(self, x):
      x = self.fc1(x)
      return x
  
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 2 for calling the PyTorchLinear obj's underlying member method code with example usage: obj.forward(x) and returns: x