code: def pos_pow(self, p):
      """
      Approximates self ** p by computing: :math:`x^p = exp(p * log(x))`
  
      Note that this requires that the base `self` contain only positive values
      since log can only be computed on positive numbers.
  
      Note that the value of `p` can be an integer, float, public tensor, or
      encrypted tensor.
      """
      if isinstance(p, int) or (isinstance(p, float) and int(p) == p):
          return self.pow(p)
      return self.log().mul_(p).exp()
  
imports: import torch
  from fate.arch.protocol import mpc
  from ..common.tensor_types import is_tensor
label_desc: Use image node_id 2 for calling a global function with example usage: pos_pow(p) and returns: self, self