class_docstr: Result from FX graph analysis to reveal unsupported FX nodes.
class_docstr_tok: ["Result","from","FX","graph","analysis","to","reveal","unsupported","FX","nodes","."]
docstr: Returns a tuple of (Rule, Level, message) for this Rule.
  
  Message template: 'Unsupported FX nodes: {node_op_to_target_mapping}. '
docstr_tok: ["Returns","a","tuple","of","(","Rule",",","Level",",","message",")","for","this","Rule",".","Message","template",":","'Unsupported","FX","nodes",":","{","node_op_to_target_mapping","}",".","'"]
code: def format(  # type: ignore[override]
      self, level: infra.Level, node_op_to_target_mapping
  ) -> Tuple[infra.Rule, infra.Level, str]:
      """Returns a tuple of (Rule, Level, message) for this Rule.
  
      Message template: 'Unsupported FX nodes: {node_op_to_target_mapping}. '
      """
      return (
          self,
          level,
          self.format_message(
              node_op_to_target_mapping=node_op_to_target_mapping
          ),
      )
  
imports: import dataclasses
  from typing import Tuple
  from torch.onnx._internal.diagnostics import infra
label_desc: Use image node_id 2 for calling the _UnsupportedFxNodeAnalysis obj's underlying member method code with example usage: obj.format(level, node_op_to_target_mapping) and returns: self,  level,  self