code: def get_all_neural_types() -> list[Type[nelements.ElementType]]:
      """Get all neural types (elements) by inspecting neural_types.element module"""
      neural_types = []
      for neural_type_str in dir(nelements):
          candidate = getattr(nelements, neural_type_str)
          if (
              isclass(candidate)
              and issubclass(candidate, nelements.ElementType)
              and candidate is not nelements.ElementType
          ):
              neural_types.append(candidate)
      return neural_types
  
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 a global function with example usage: get_all_neural_types() and returns: neural_types