class_docstr: An operation which loads a checkpoint during training of an
  OpenAlphaTensor model.
class_docstr_tok: ["An","operation","which","loads","a","checkpoint","during","training","of","an","OpenAlphaTensor","model","."]
docstr: Returns the optimizer loaded from the checkpoint.
docstr_tok: ["Returns","the","optimizer","loaded","from","the","checkpoint","."]
code: def get_optimizer(self) -> torch.optim.Optimizer:
      """Returns the optimizer loaded from the checkpoint."""
      return self._optimizer
  
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 5 for calling the LoadCheckPointOp obj's underlying member method code with example usage: obj.get_optimizer() and returns: self