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