class_docstr: Class any operator to avoid must inherit from.
class_docstr_tok: ["Class","any","operator","to","avoid","must","inherit","from","."]
code: def __init__(
      self,
      onnx_node: NodeProto,
      run_params: dict[str, Any],
      impl: Any = None,
  ):
      raise RuntimeError(
          f"The reference implementation must not use this node ({type(self)})."
      )
  
imports: from __future__ import annotations
  import abc
  from typing import Any, ClassVar, Iterable
  import numpy
  from onnx import TensorProto
  from onnx.defs import get_all_schemas_with_history, get_schema, onnx_opset_version
  from onnx.helper import make_node, make_tensor_type_proto, np_dtype_to_tensor_dtype
  from onnx.numpy_helper import to_array, unpack_int4
  from onnx.onnx_pb import AttributeProto, GraphProto, NodeProto, TypeProto
  from onnx.reference.custom_element_types import bfloat16, float8e4m3fn, float8e4m3fnuz, float8e5m2, float8e5m2fnuz, int4, uint4
label_desc: Use image node_id 1 to create a new OpRunExpand object from inherited base classes: OpRun with example: obj = OpRunExpand(onnx_node, run_params, impl)