nkhdiscovery commented on issue #4659: gpu memory allocate will be error when using multiprocessing.Process URL: https://github.com/apache/incubator-mxnet/issues/4659#issuecomment-466630959 @leezu Here is something even more complex which works, I thought anybody else may come here and needs the solution - which does not work if you do not force `mp.set_start_method('forkserver', force=True)` `import random import numpy as np import mxnet as mx import multiprocessing as mp def test(): mx.random.seed(random.randint(10,200)) a = mx.nd.random_normal(shape=(2,2), ctx=mx.gpu(0)) print('child no. ', mp.current_process().name, ':' , a) if __name__ == '__main__': mp.set_start_method('forkserver', force=True) ab = mx.nd.random_normal(shape=(2,2), ctx=mx.gpu(0)) print('main proc.: ', ab) runs = [mp.Process(target=test) for i in range(3)] for p in runs: p.start() for p in runs: p.join() print('done')` Hope it helps.
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