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Limit chunk_size for n_jobs=-1 #677

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merged 3 commits into from
Mar 23, 2018
Merged

Limit chunk_size for n_jobs=-1 #677

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limit chunk_size for n_jobs=-1
weixuanfu Mar 23, 2018
f8608dc
clean codes
weixuanfu Mar 23, 2018
0aac932
clean codes
weixuanfu Mar 23, 2018
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6 changes: 4 additions & 2 deletions tpot/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1163,11 +1163,13 @@ def _evaluate_individuals(self, individuals, features, target, sample_weight=Non
result_score_list = self._update_val(val, result_score_list)
else:
# chunk size for pbar update
for chunk_idx in range(0, len(sklearn_pipeline_list), self.n_jobs * 4):
# chunk size is min of cpu_count * 2 and n_jobs * 4
chunk_size = min(cpu_count()*2, self.n_jobs*4)
for chunk_idx in range(0, len(sklearn_pipeline_list), chunk_size):
self._stop_by_max_time_mins()
parallel = Parallel(n_jobs=self.n_jobs, verbose=0, pre_dispatch='2*n_jobs')
tmp_result_scores = parallel(delayed(partial_wrapped_cross_val_score)(sklearn_pipeline=sklearn_pipeline)
for sklearn_pipeline in sklearn_pipeline_list[chunk_idx:chunk_idx + self.n_jobs * 4])
for sklearn_pipeline in sklearn_pipeline_list[chunk_idx:chunk_idx + chunk_size])
# update pbar
for val in tmp_result_scores:
result_score_list = self._update_val(val, result_score_list)
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