class_docstr: This context class provides access to a public API for Dynamo's internals.
  If there is something here you would find useful that is missing, please
  file a feature request at https://github.com/pytorch/pytorch/
docstr: Print the currently installed guards for the Dynamo context.
  This does NOT include guards associated with variables that
  may or may not be installed in the future if those variables
  are used.
docstr_tok: ["Print","the","currently","installed","guards","for","the","Dynamo","context",".","This","does","NOT","include","guards","associated","with","variables","that","may","or","may","not","be","installed","in","the","future","if","those","variables","are","used","."]
code: def print_guards(self, *, file=None):
      """
      Print the currently installed guards for the Dynamo context.
      This does NOT include guards associated with variables that
      may or may not be installed in the future if those variables
      are used.
      """
      # TODO: improve print format, current guard format is extremely
      # verbose
      print(
          "\n".join(
              f"{repr(guard)}"
              for guard in sorted(self.__tx.output.guards)
          ),
          file=file,
      )
  
imports: import builtins
  import dis
  import traceback
  from typing import Optional, Union
  import torch
  from .exc import unimplemented
label_desc: Use image node_id 12 for calling the ComptimeContext obj's underlying member method code with example usage: obj.print_guards() without return types