class_docstr: Exception raised if failure was detected as part of a checkpoint load or save.
code: def __init__(self, msg: str, failures: Dict[int, WRAPPED_EXCEPTION]):
      super().__init__(msg, failures)
      self._failures = failures
  
file_path: pytorch/torch/distributed/checkpoint/api.py
imports: import traceback
  from typing import Any, Dict, Tuple
label_desc: Use image node_id 1 to create a new CheckpointException object from inherited base classes: BaseException with example: obj = CheckpointException(msg, failures)