python - how to optimize multiprocessing in this code? -


results big variable , do:

results = sum(results, []) print 'writing results json %s' % res_file open(res_file, 'w') f:     json.dump(results, f, sort_keys=true, indent=4)

for it. how store big variable in generate process?

pool = mp.pool(8) results = pool.map(coco_results_one_category_kernel, data_pack) pool.close() pool.join()

this code cannot allocation memory multiprocessing:

oserror: [errno 12] cannot allocate memory

results = [] in range(len(data_pack)):      print i,'/',len(data_pack)      results.append(coco_results_one_category_kernel(data_pack[i])) results = sum(results, [])

this code kiilled when i=36 because of result big. how can this? donot care time, result variable..


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