class_docstr: Class to help manage, save, clean up, and average checkpoints.
code: def _remove_checkpoint(self, checkpoint_to_remove: Optional[str]):
      if checkpoint_to_remove:
          self.log_if_verbose(
              f"| Preparing to remove old checkpoint {checkpoint_to_remove}."
          )
          try:
              PathManager.rm(checkpoint_to_remove)
              self.log_if_verbose(
                  f"| Finished removing old checkpoint {checkpoint_to_remove}."
              )
          except OSError as e:
              print(
                  f"| Failed to remove old checkpoint {checkpoint_to_remove} "
                  f"- exception: {e}",
                  flush=True,
              )
  
imports: import os
  from collections import deque, OrderedDict
  from typing import Any, Deque, Dict, List, Optional, Tuple
  import torch
  from fairseq import checkpoint_utils, utils
  from pytorch_translate import constants
  from pytorch_translate.file_io import PathManager
label_desc: Use image node_id 7 for calling the CheckpointManager obj's underlying member method code with example usage: obj._remove_checkpoint(checkpoint_to_remove) without return types