ConvGeNCode/run_all_exercises.py

from library.analysis import testSets
from library.analysis import runExerciseForSpheredNoise, runExerciseForRepeater
from library.analysis import runExerciseForSimpleGAN, runExerciseForConvGAN
import os
import threading


nWorker = 0

fns = [ ("Repeater",     runExerciseForRepeater)
      , ("SpheredNoise", runExerciseForSpheredNoise)
      , ("SimpleGAN",    runExerciseForSimpleGAN)
      , ("convGAN",      runExerciseForConvGAN)
      ]

for dataset in testSets:
    for (name, f) in fns:
        nWorker += 1
        if 0 == os.fork():
            print(f"#{nWorker}: start: {name}({dataset})")
            f(dataset)
            print(f"#{nWorker}: end.")
            exit()
        else:
            if nWorker >= 2:
                os.wait()
                nWorker -= 1

while nWorker > 0:
    os.wait()
    nWorker -= 1