I think so. You can have a try like this:
The main reason is resulted from the fact that no seed is input to the numpy.random.seed(). Providing a seed for each process can also be a solution.

  
      stackoverflow.com
  
  
      
    
  

  Seeding random number generators in parallel programs 43



  python, numpy, random, multiprocessing



  asked by
  
  
    overcomer
  
  on 05:59PM - 24 Apr 15 UTC