mirror of https://github.com/explosion/spaCy.git
Improve profiling
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@ -11,6 +11,7 @@ import spacy
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import sys
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import tqdm
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import cytoolz
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import thinc.extra.datasets
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def read_inputs(loc):
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@ -32,14 +33,18 @@ def profile(cmd, lang, inputs=None):
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"""
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Profile a spaCy pipeline, to find out which functions take the most time.
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"""
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if inputs is None:
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imdb_train, _ = thinc.extra.datasets.imdb()
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inputs, _ = zip(*imdb_train)
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inputs = inputs[:2000]
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nlp = spacy.load(lang)
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texts = list(cytoolz.take(10000, inputs))
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cProfile.runctx("parse_texts(nlp, texts)", globals(), locals(),
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"Profile.prof")
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s = pstats.Stats("Profile.prof")
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s.strip_dirs().sort_stats("time").print_stats()
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s.strip_dirs().sort_stats("cumtime").print_stats()
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def parse_texts(nlp, texts):
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for doc in nlp.pipe(tqdm.tqdm(texts), batch_size=128):
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for doc in nlp.pipe(tqdm.tqdm(texts), batch_size=16):
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pass
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