code: def _fp_inv_sqrt_private(
      prot, a: "TFEPrivateTensor", precision: int = 1
  ):
      # low precision
      return approx_sqrt_inv(prot, a, precision=precision)
  
imports: from math import ceil
  from math import log2
  import numpy
  import tensorflow
  from ..protocol import TFEPrivateTensor
  from ..protocol import TFEPublicTensor
label_desc: Use image node_id 8 for calling a global function with example usage: _fp_inv_sqrt_private(prot, a, precision) and returns: approx_sqrt_inv