class_docstr: Identity module. For testing input/output types in a sequence of network calls
class_docstr_tok: ["Identity","module",".","For","testing","input\/output","types","in","a","sequence","of","network","calls"]
code: def input_types(self) -> dict[str, NeuralType]:
      return {
          "x": NeuralType(None, VoidType()),
      }
  
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 1 for calling the DummyModuleWithIOTypes obj's underlying member method code with example usage: obj.input_types() and returns: dict