code: def test_circular_references(self, functional_call):
      module = MockModule()
      # Add a circular reference
      module.l1.m = module
      x = torch.rand((1, 1))
      weight = torch.tensor([[1.0]])
      bias = torch.tensor([0.0])
      buffer = torch.tensor([0.0])
      parameters = {
          "l1.m.l1.weight": weight,
          "l1.bias": bias,
          "l1.m.buffer": buffer,
      }
      prev_weight = module.l1.weight.clone()
      prev_buffer = module.buffer.clone()
      res = functional_call(module, parameters, x, tie_weights=False)
      self.assertEqual(x, res)
      # check that the weights remain unmodified and were correctly accesed
      cur_weight = module.l1.weight
      cur_buffer = module.buffer
      self.assertEqual(cur_weight, prev_weight)
      self.assertEqual(cur_buffer, prev_buffer)
  
imports: import contextlib
  import os
  import re
  import subprocess
  import sys
  import unittest
  import torch
  import torch.nn.utils.stateless
  from torch.testing._internal.common_cuda import TEST_MULTIGPU
  from torch.testing._internal.common_utils import run_tests, TestCase, parametrize, instantiate_parametrized_tests, subtest
label_desc: Use image node_id 9 for calling the TestStatelessFunctionalAPI obj's underlying member method code with example usage: obj.test_circular_references(functional_call) without return types