code: def test_module_interface_special_methods(self):
      class CustomModuleInterface(torch.nn.Module):
          pass
  
      class CustomModuleList(
          CustomModuleInterface, torch.nn.ModuleList
      ):
          def __init__(self, modules=None):
              CustomModuleInterface.__init__(self)
              torch.nn.ModuleList.__init__(self, modules)
  
      class CustomSequential(
          CustomModuleInterface, torch.nn.Sequential
      ):
          def __init__(self, modules=None):
              CustomModuleInterface.__init__(self)
              torch.nn.Sequential.__init__(self, modules)
  
      class CustomModuleDict(
          CustomModuleInterface, torch.nn.ModuleDict
      ):
          def __init__(self, modules=None):
              CustomModuleInterface.__init__(self)
              torch.nn.ModuleDict.__init__(self, modules)
  
      class MyModule(torch.nn.Module):
          def __init__(self):
              super().__init__()
              # work around aliasing issue for 'is' operator by scripting ReLU up front
              self.submod = torch.jit.script(torch.nn.ReLU())
              self.modulelist = CustomModuleList([self.submod])
              self.sequential = CustomSequential(self.submod)
              self.moduledict = CustomModuleDict(
                  {"submod": self.submod}
              )
  
          def forward(self, inputs):
              assert (
                  self.modulelist[0] is self.submod
              ), "__getitem__ failing for ModuleList"
              assert (
                  len(self.modulelist) == 1
              ), "__len__ failing for ModuleList"
              for module in self.modulelist:
                  assert (
                      module is self.submod
                  ), "__iter__ failing for ModuleList"
  
              assert (
                  self.sequential[0] is self.submod
              ), "__getitem__ failing for Sequential"
              assert (
                  len(self.sequential) == 1
              ), "__len__ failing for Sequential"
              for module in self.sequential:
                  assert (
                      module is self.submod
                  ), "__iter__ failing for Sequential"
  
              assert (
                  self.moduledict["submod"] is self.submod
              ), "__getitem__ failing for ModuleDict"
              assert (
                  len(self.moduledict) == 1
              ), "__len__ failing for ModuleDict"
  
              # note: unable to index moduledict with a string variable currently
              i = 0
              for key in self.moduledict:
                  i += 1
              assert i == len(
                  self.moduledict
              ), "iteration failing for ModuleDict"
  
              assert (
                  "submod" in self.moduledict
              ), "__contains__ fails for ModuleDict"
  
              for key in self.moduledict.keys():
                  assert key == "submod", "keys() fails for ModuleDict"
  
              for item in self.moduledict.items():
                  assert (
                      item[0] == "submod"
                  ), "items() fails for ModuleDict"
                  assert (
                      item[1] is self.submod
                  ), "items() fails for ModuleDict"
  
              for value in self.moduledict.values():
                  assert (
                      value is self.submod
                  ), "values() fails for ModuleDict"
  
              return inputs
  
      m = MyModule()
      self.checkModule(m, [torch.randn(2, 2)])
  
imports: import os
  import sys
  from typing import Any, List, Tuple
  from collections import OrderedDict
  import torch
  import torch.nn
  from torch.testing._internal.jit_utils import JitTestCase
label_desc: Use image node_id 6 for calling the TestModuleContainers obj's underlying member method code with example usage: obj.test_module_interface_special_methods() and returns: inputs