producer-consumer への変更での並列実行の高速化 #204
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use producer-consumer pattern with mp.Process and mp.Queue.
r-terada
changed the title
not returns a list
…ocess_and_queue_matsuda debug multi processing and refactor analyzer.py
…/github.com/megagonlabs/ginza into feature/optimize_parallel_process_and_queue
This reverts commit a0ef56a.
it depends on sudachi-style normalization TODO: FIX test case
…f_spacy_v3.2 use morph features of spacy v3.2 (revised)
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All test cases succeeded. |
hiroshi-matsuda-rit
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issue: #190
parallel での実行を mp.pool:map から producer-consumer パターンに変更することで高速化しました.
macos, 4 cores Intel Core i5, 8並列で約20万行のファイルを解析すると 26min. -> 20min. とおよそ 20% ほどの高速化ができました.