class_docstr: FX graph transformation during ONNX export before converting from FX IR to ONNX IR.
class_docstr_tok: ["FX","graph","transformation","during","ONNX","export","before","converting","from","FX","IR","to","ONNX","IR","."]
docstr: Returns the formatted default message of this Rule.
  
  Message template: 'Running {pass_name} pass.'
docstr_tok: ["Returns","the","formatted","default","message","of","this","Rule",".","Message","template",":","'Running","{","pass_name","}","pass",".","'"]
code: def format_message(self, pass_name) -> str:  # type: ignore[override]
      """Returns the formatted default message of this Rule.
  
      Message template: 'Running {pass_name} pass.'
      """
      return self.message_default_template.format(pass_name=pass_name)
  
imports: import dataclasses
  from typing import Tuple
  from torch.onnx._internal.diagnostics import infra
label_desc: Use image node_id 1 for calling the _FxPass obj's underlying member method code with example usage: obj.format_message(pass_name) and returns: self