code: def register_optimizer(self, input_):
      if input_ is None:
          return
      if isinstance(input_, TorchModule) or isinstance(
          input_, Sequential
      ):
          input_.add_optimizer(self)
  
imports: import torch
  from fate.components.components.nn.loader import Loader
  from torch.nn import Sequential
  import json
label_desc: Use image node_id 4 for calling the TorchOptimizer obj's underlying member method code with example usage: obj.register_optimizer(input_) without return types