code: def _run(self, X, Scale, B=None, axis=None, epsilon=None, stash_type=None):  # type: ignore
      if stash_type != 1:
          raise NotImplementedError(
              f"LayerNormalization not implemented for stash_type={stash_type} != 1."
          )
      res = _layer_normalization(
          X, Scale, B, axis=axis, epsilon=epsilon
      )
      return res
  
imports: from typing import Tuple
  import numpy
  from onnx.reference.op_run import OpRun
label_desc: Use image node_id 1 for calling the LayerNormalization obj's underlying member method code with example usage: obj._run(X, Scale, B, axis, epsilon, stash_type) and returns: res