class_docstr: Tests PyTorch and Tensorflow model imports
code: def setUp(self):
      super().setUp()
      # We don't want the main process (rank -1) to initialize the communicator
      if self.rank >= 0:
          crypten.init()
  
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 4 for calling the TestOnnxConverter obj's underlying member method code with example usage: obj.setUp() without return types