I am trying to run a parallel loop on a simple example.
What am I doing wrong?
from joblib import Parallel, delayed
import multiprocessing
def processInpu
Continuing on your request to provide a working multiprocessing code, I suggest that you use pool_map (if the delayed functionality is not important), I'll give you an example, if your'e working on python3 its worth to mention you can use starmap. Also worth mentioning that you can use map_sync/starmap_async if the order of the returned results does not have to correspond to the order of inputs.
import multiprocessing as mp
def processInput(i):
return i * i
if __name__ == '__main__':
# what are your inputs, and what operation do you want to
# perform on each input. For example...
inputs = range(1000000)
# removing processes argument makes the code run on all available cores
pool = mp.Pool(processes=4)
results = pool.map(processInput, inputs)
print(results)