class_docstr: An operation which loads the games played while training an
  OpenAlphaTensor model.
class_docstr_tok: ["An","operation","which","loads","the","games","played","while","training","an","OpenAlphaTensor","model","."]
docstr: Returns whether the games were loaded or not.
docstr_tok: ["Returns","whether","the","games","were","loaded","or","not","."]
code: def get_result(self) -> bool:
      """Returns whether the games were loaded or not."""
      return self._loaded
  
imports: from pathlib import Path
  from typing import Any
  import torch
  from nebullvm.operations.base import Operation
  from open_alpha_tensor.config import BASE_CHECKPOINT_DATA_DIR, BASE_CHECKPOINT_DIR
  from open_alpha_tensor.core.modules.alpha_tensor import AlphaTensorModel
  from open_alpha_tensor.core.training import Trainer
label_desc: Use image node_id 3 for calling the LoadCheckpointDataOp obj's underlying member method code with example usage: obj.get_result() and returns: self