code: def _fp_div(
      prot,
      a: "TFEPrivateTensor",
      b: "TFEPrivateTensor",
      nonsigned: bool,
      precision: int = 1,
  ):
      with tf.name_scope("fp_div"):
          return a * _fp_recip_private(
              prot, b, nonsigned, 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 1 for calling a global function with example usage: _fp_div(prot, a, b, nonsigned, precision) and returns: unknown