python multiprocessing pool retries

Is there a way to re-send a piece of data for processing, if the original computation failed, using a simple pool?

import random
from multiprocessing import Pool

def f(x):
   if random.getrandbits(1):
       raise ValueError("Retry this computation")
   return x*x

p = Pool(5)
# If one of these f(x) calls fails, retry it with another (or same) process
p.map(f, [1,2,3])