code: def test_nn_parameter_construction(self):
      # https://github.com/pytorch/pytorch/issues/99569
      def fn(x):
          y = x.sin()
          z = torch.nn.Parameter(torch.ones(1))
          return y + z
  
      x = torch.rand((4, 4))
  
      opt_fn = torch._dynamo.optimize("aot_eager")(fn)
      self.assertTrue(torch._dynamo.testing.same(fn(x), opt_fn(x)))
  
imports: import re
  from textwrap import dedent
  from unittest.mock import patch
  import torch
  import torch._dynamo
  import torch._dynamo.test_case
  import torch.fx.traceback
  import torch.utils._pytree
  from torch._dynamo.testing import CompileCounter, expectedFailureDynamic, rand_strided
  from torch._functorch.aot_autograd import _aot_export_function, create_functional_call
  from torch.profiler import profile
  from torch.testing._internal.common_utils import compare_equal_outs_and_grads
label_desc: Use image node_id 19 for calling the AotAutogradFallbackTests obj's underlying member method code with example usage: obj.test_nn_parameter_construction() and returns: unknown