My PC is with AMD Ryzen 5 3600X, with 6 cores, no GPU. I trained my tabular regression in colab and I’m running the trained model in my pc. And it is slow. What make it even slower is the fact I found that it only use about 1/20 of the total CPU time. My code is like following:
for i in range(cnt): print("learner ", i , " : ", process_time() - start, time()-start1) res.append(learn_opt[i].get_preds()
and result is
learner 0 : 0.140625 0.14303159713745117 learner 1 : 1.328125 18.774247884750366 learner 2 : 2.390625 37.759544372558594 timeused: 3.484375 56.34675097465515
How to make my program use more cpu? I tried psutil.nice(psutil.HIGH_PRIORITY_CLASS) but I didn’t observe change.