code: def lp_normalize(
      x: np.ndarray,
      /,
      *,
      p: float = 2,
      axis: Optional[int] = None,
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      if axis is None:
          denorm = np.linalg.norm(x.flatten(), axis=axis, ord=p)
      else:
          denorm = np.linalg.norm(x, axis=axis, ord=p, keepdims=True)
      denorm = np.maximum(denorm, 1e-12)
      return np.divide(x, denorm, out=out)
  
imports: import numpy
  from typing import Optional
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
label_desc: Use image node_id 3 for calling a global function with example usage: lp_normalize() and returns: np