code: def test_tied_weights_no_error_without_flag(self):
      module = MockTiedModule()
      weight = torch.tensor([[1.0]])
      bias = torch.tensor([0.0])
      buffer = torch.tensor([0.0])
  
      parameters = {
          "l1.weight": weight,
          "l1.bias": bias,
          "buffer": buffer,
      }
      x = torch.randn(1, 1)
      self.assertNotWarn(
          lambda: stateless._functional_call(
              module, parameters, x, tie_weights=False
          )
      )
      parameters["tied_bias"] = torch.tensor([5.0])
      self.assertNotWarn(
          lambda: stateless._functional_call(
              module, parameters, x, tie_weights=False
          )
      )
      del parameters["tied_bias"]
      parameters["tied_buffer"] = torch.tensor([5.0])
      self.assertNotWarn(
          lambda: stateless._functional_call(
              module, parameters, x, tie_weights=False
          )
      )
  
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 19 for calling the TestStatelessFunctionalAPI obj's underlying member method code with example usage: obj.test_tied_weights_no_error_without_flag() without return types