3

I want to predict values by using the model I use this code

from keras.models import load_model
import multiprocessing
model = load_model('CNN_MODEL.hdf')
def Net(x):
    print("test")
    return model.predict(x)

X_test=.....(a list )
pool=multiprocessing.Pool(processes=12)
Y=pool.map(Net,X_test)

pool.close()
pool.join()

But it's too slow . The out is

test test test ... test with 12 test and then Stuck. And my cpu is 36 core . How to solve it?

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