docstr: The operator Loop needs to know all results produced
  so far as the loop may silently access one of them.
  Some information are not always referred in the list of inputs
  (kind of static variables).
docstr_tok: ["The","operator","Loop","needs","to","know","all","results","produced","so","far","as","the","loop","may","silently","access","one","of","them",".","Some","information","are","not","always","referred","in","the","list","of","inputs","(","kind","of","static","variables",")","."]
code: def need_context(self) -> bool:
      """The operator Loop needs to know all results produced
      so far as the loop may silently access one of them.
      Some information are not always referred in the list of inputs
      (kind of static variables).
      """
      return True
  
imports: import numpy
  from onnx.reference.op_run import OpRun
label_desc: Use image node_id 2 for calling the Loop obj's underlying member method code with example usage: obj.need_context() and returns: True