code: def test_ignore_with_types(self):
      @torch.jit.ignore
      def fn(x: Dict[str, Optional[torch.Tensor]]):
          return x + 10
  
      class M(torch.nn.Module):
          def forward(
              self, in_batch: Dict[str, Optional[torch.Tensor]]
          ) -> torch.Tensor:
              self.dropout_modality(in_batch)
              fn(in_batch)
              return torch.tensor(1)
  
          @torch.jit.ignore
          def dropout_modality(
              self, in_batch: Dict[str, Optional[torch.Tensor]]
          ) -> Dict[str, Optional[torch.Tensor]]:
              return in_batch
  
      sm = torch.jit.script(M())
      FileCheck().check("dropout_modality").check("in_batch").run(
          str(sm.graph)
      )
  
imports: from collections import namedtuple
  from typing import Dict, Iterator, List, Optional, Tuple
  from torch.testing._internal.jit_utils import JitTestCase
  from torch.testing import FileCheck
  from textwrap import dedent
  from jit.test_module_interface import TestModuleInterface
  import inspect
  import os
  import sys
  import torch
  import torch.testing._internal.jit_utils
label_desc: Use image node_id 3 for calling the TestTypesAndAnnotation obj's underlying member method code with example usage: obj.test_ignore_with_types() and returns: unknown, torch, in_batch