code: def _run(self, x, axis=None, p=None):  # type: ignore
      axis = axis or self.axis  # type: ignore
      p = p or self.p  # type: ignore
      norm = np.power(np.power(x, p).sum(axis=axis), 1.0 / p)  # type: ignore
      norm = np.expand_dims(norm, axis)  # type: ignore
      return ((x / norm).astype(x.dtype),)
  
imports: import numpy
  from onnx.reference.ops._op import OpRunUnaryNum
label_desc: Use image node_id 1 for calling the LpNormalization obj's underlying member method code with example usage: obj._run(x, axis, p) and returns: unknown