When I use multiprocessing to create some processes, it seems that processes have the same state. How does it work? I want each process has a different state, so that the data created by numpy.random is independent. One way is to use pid as seed. Is there a more elegant approach? from multiprocessing import Pool import numpy as np import os def f(x): print(f'{os.getpid()}: {np.random.get_state()}') print(f'{os.getpid()}: {np.random.rand(5)}') if __name__ == '__main__': with Pool(5) as p: p.map(f, [None] * 5) Continue reading...
