code: def forward(self, input, params=None):
      for name, module in self._modules.items():
          if isinstance(module, MetaModule):
              input = module(
                  input, params=self.get_subdict(params, name)
              )
          elif isinstance(module, nn.Module):
              input = module(input)
          else:
              raise TypeError(
                  "The module must be either a torch module "
                  "(inheriting from `nn.Module`), or a `MetaModule`. "
                  "Got type: `{0}`".format(type(module))
              )
      return input
  
imports: import torch.nn
  from torchmeta.modules.module import MetaModule
label_desc: Use image node_id 1 for calling the MetaSequential obj's underlying member method code with example usage: obj.forward(input, params) and returns: input