class_docstr: Report any op level validation failure in warnings.
class_docstr_tok: ["Report","any","op","level","validation","failure","in","warnings","."]
docstr: Returns a tuple of (Rule, Level, message) for this Rule.
  
  Message template: 'FX node: {node} and its onnx function: {symbolic_fn} fails on op level validation.'
docstr_tok: ["Returns","a","tuple","of","(","Rule",",","Level",",","message",")","for","this","Rule",".","Message","template",":","'FX","node",":","{","node","}","and","its","onnx","function",":","{","symbolic_fn","}","fails","on","op","level","validation",".","'"]
code: def format(  # type: ignore[override]
      self, level: infra.Level, node, symbolic_fn
  ) -> Tuple[infra.Rule, infra.Level, str]:
      """Returns a tuple of (Rule, Level, message) for this Rule.
  
      Message template: 'FX node: {node} and its onnx function: {symbolic_fn} fails on op level validation.'
      """
      return (
          self,
          level,
          self.format_message(node=node, symbolic_fn=symbolic_fn),
      )
  
imports: import dataclasses
  from typing import Tuple
  from torch.onnx._internal.diagnostics import infra
label_desc: Use image node_id 2 for calling the _OpLevelDebugging obj's underlying member method code with example usage: obj.format(level, node, symbolic_fn) and returns: self,  level,  self