class_docstr: Registered as a `Trainer` with name "no_op".
class_docstr_tok: ["Registered","as","a","`","Trainer","`","with","name","``","no_op","''","."]
code: def train(self) -> Dict[str, Any]:
      assert self._serialization_dir is not None
      self.model.vocab.save_to_files(
          os.path.join(self._serialization_dir, "vocabulary")
      )
      checkpointer = Checkpointer(self._serialization_dir)
      checkpointer.save_checkpoint(self)
  
      best_model_filename = os.path.join(
          self._serialization_dir, "best.th"
      )
      torch.save(self.model.state_dict(), best_model_filename)
      self._best_model_filename = best_model_filename
  
      return {}
  
file_path: allennlp/allennlp/training/no_op_trainer.py
imports: import os
  from typing import Any, Dict, Optional
  import torch
  from allennlp.models import Model
  from allennlp.training.checkpointer import Checkpointer
  from allennlp.training.trainer import Trainer, TrainerCheckpoint
label_desc: Use image node_id 2 for calling the NoOpTrainer obj's underlying member method code with example usage: obj.train() and returns: dict