class_docstr: Tests PyTorch and Tensorflow model imports
code: def _check_reference_parameters(self, init_name, reference, model):
      for name, param in model.named_parameters(recurse=False):
          local_name = init_name + "_" + name
          self._check(
              param, reference[local_name], "parameter update failed"
          )
      for name, module in model._modules.items():
          local_name = init_name + "_" + name
          self._check_reference_parameters(
              local_name, reference, module
          )
  
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 TestOnnxConverter obj's underlying member method code with example usage: obj._check_reference_parameters(init_name, reference, model) without return types