docstr: Test module with input/output types
code: def test_dummy_module_with_io_types(self):
      """Test module with input/output types"""
      module = torch.jit.script(DummyModuleWithIOTypes())
      x = torch.rand(2, 10)
      result = module(x)
      assert result.shape == x.shape
      assert torch.allclose(result, x)
  
imports: from inspect import isclass
  from typing import Any, Type
  import pytest
  import torch
  import torch.nn
  import nemo.core.neural_types.elements
  from nemo.core.classes import Exportable, NeuralModule, typecheck
  from nemo.core.classes.mixins import AdapterModuleMixin
  from nemo.core.neural_types import FloatType, NeuralType, VoidType
label_desc: Use image node_id 6 for calling the TestTorchJitCompatibility obj's underlying member method code with example usage: obj.test_dummy_module_with_io_types() without return types