thanks, but I have other problem, run CNN pytorch in server with 64 gb ram and 32 cores, but consume memory RAM 24%, I use next code:
import test_model_win_auto_fila
import torch

if __name__ == "__main__": 
    used_device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
    num_processors = 10
    p=Pool(processes = num_processors)
    p.map(test_model_win_auto_fila.run(used_device), [i for i in range(0,11)])