code: def test_graph_signature_updated_after_transformation(self) -> None:
      # Checks that pass infra correctly updates graph signature
      # after transformations.
      class CustomModule(torch.nn.Module):
          def __init__(self):
              super().__init__()
  
              self.my_parameter = torch.nn.Parameter(torch.tensor(2.0))
  
              self.register_buffer("my_buffer1", torch.tensor(3.0))
              self.register_buffer("my_buffer2", torch.tensor(4.0))
  
          def forward(self, x1, x2):
              # Use the parameter, buffers, and both inputs in the forward method
              output = (
                  x1 + self.my_parameter
              ) * self.my_buffer1 + x2 * self.my_buffer2
              return output
  
      my_module = CustomModule()
  
      # Test the custom module with two input tensors
      input_tensor1 = torch.tensor(5.0)
      input_tensor2 = torch.tensor(6.0)
  
      ep_before = torch._export.export(
          my_module, (input_tensor1, input_tensor2)
      )
      from torch.fx.passes.infra.pass_base import PassResult
  
      def modify_input_output_pass(gm):
          for node in gm.graph.nodes:
              if node.op == "call_function":
                  node.name = node.name + "_modified"
          gm.recompile()
          return PassResult(gm, True)
  
      ep_after = ep_before._transform_do_not_use(
          modify_input_output_pass
      )
      new_signature = ep_after.graph_signature
  
      for node_name in new_signature.user_outputs:
          self.assertTrue("_modified" in node_name)
  
      old_signature = ep_before.graph_signature
      self.assertNotEqual(
          new_signature.user_outputs, old_signature.user_outputs
      )
  
file_path: pytorch/test/export/test_pass_infra.py
imports: import unittest
  from typing import List
  import torch
  from functorch.experimental import control_flow
  from torch._dynamo.eval_frame import is_dynamo_supported
  from torch.export import export
  from torch._export.pass_base import _ExportPassBaseDeprecatedDoNotUse
  from torch.testing._internal.common_utils import run_tests, TestCase
label_desc: Use image node_id 4 for calling the TestPassInfra obj's underlying member method code with example usage: obj.test_graph_signature_updated_after_transformation() and returns: PassResult, output