class_docstr: Write the provided exception object along with some other metadata about
  the error in a structured way in JSON format to an error file specified by the
  environment variable: ``TORCHELASTIC_ERROR_FILE``. If this environment
  variable is not set, then simply logs the contents of what would have been
  written to the error file.
  
  This handler may be subclassed to customize the handling of the error.
  Subclasses should override ``initialize()`` and ``record_exception()``.
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docstr: Call prior to running code that we wish to capture errors/exceptions.
  
  Typically registers signal/fault handlers. Users can override this
  function to add custom initialization/registrations that aid in
  propagation/information of errors/signals/exceptions/faults.
docstr_tok: ["Call","prior","to","running","code","that","we","wish","to","capture","errors\/exceptions",".","Typically","registers","signal\/fault","handlers",".","Users","can","override","this","function","to","add","custom","initialization\/registrations","that","aid","in","propagation\/information","of","errors\/signals\/exceptions\/faults","."]
code: def initialize(self) -> None:
      """
      Call prior to running code that we wish to capture errors/exceptions.
  
      Typically registers signal/fault handlers. Users can override this
      function to add custom initialization/registrations that aid in
      propagation/information of errors/signals/exceptions/faults.
      """
      try:
          faulthandler.enable(all_threads=True)
      except Exception as e:
          warnings.warn(
              f"Unable to enable fault handler. {type(e).__name__}: {e}"
          )
  
file_path: pytorch/torch/distributed/elastic/multiprocessing/errors/error_handler.py
imports: import faulthandler
  import json
  import logging
  import os
  import time
  import traceback
  import warnings
  from typing import Any, Dict, Optional
label_desc: Use image node_id 2 for calling the ErrorHandler obj's underlying member method code with example usage: obj.initialize() without return types