class_docstr: Use this class to configure optimizer parameters.
code: def __iter__(self):
      for p in self.model.parameters():
          if p.requires_grad:
              yield p
  
imports: import torch.nn
  from transfer_nlp.plugins.config import register_plugin
label_desc: Use image node_id 2 for calling the TrainableParameters obj's underlying member method code with example usage: obj.__iter__() without return types