code: def load(self, checkpoint_path: pathlib.Path, file_name: str):
      with open(str(checkpoint_path / file_name), "w") as f:
          data = json.loads(f.read())
  
      for key, d in data.items():
          self.infosets[key] = InfoSet.from_dict(d)
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/cfr/infoset_saver.py
imports: import json
  import pathlib
  from typing import Dict
  from labml import experiment
  from labml_nn.cfr import InfoSet
label_desc: Use image node_id 3 for calling the InfoSetSaver obj's underlying member method code with example usage: obj.load(checkpoint_path, file_name) without return types