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Reduce Phraser memory usage (drop frequencies) #2208

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merged 12 commits into from
Jan 11, 2019
Merged

Reduce Phraser memory usage (drop frequencies) #2208

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242c80e
fix phraser memory
jenishah Oct 20, 2018
bba2e46
reduce phraser memory
jenishah Oct 26, 2018
9f9b05f
using isinstance
jenishah Nov 22, 2018
c391fe5
update model when loaded
jenishah Nov 26, 2018
d154e3a
update model when loaded
jenishah Nov 26, 2018
40b6672
update model when loaded
jenishah Nov 26, 2018
40dcbde
updated changes
jenishah Dec 3, 2018
21c3911
updated changes
jenishah Dec 4, 2018
80e9222
update changes
jenishah Dec 4, 2018
9943909
Merge remote-tracking branch 'upstream/develop' into jshah_ph_mem
menshikh-iv Jan 10, 2019
021226a
fix loading
menshikh-iv Jan 10, 2019
9de2495
make test better
menshikh-iv Jan 10, 2019
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8 changes: 6 additions & 2 deletions gensim/models/phrases.py
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Original file line number Diff line number Diff line change
Expand Up @@ -805,7 +805,7 @@ def __init__(self, phrases_model):
for bigram, score in phrases_model.export_phrases(corpus, self.delimiter, as_tuples=True):
if bigram in self.phrasegrams:
logger.info('Phraser repeat %s', bigram)
self.phrasegrams[bigram] = (phrases_model.vocab[self.delimiter.join(bigram)], score)
self.phrasegrams[bigram] = score
count += 1
if not count % 50000:
logger.info('Phraser added %i phrasegrams', count)
Expand Down Expand Up @@ -848,7 +848,11 @@ def score_item(self, worda, wordb, components, scorer):

"""
try:
return self.phrasegrams[tuple(components)][1]
score = self.phrasegrams[tuple(components)]
if isinstance(score, tuple):
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@piskvorky piskvorky Nov 22, 2018 •
edited
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We don't want to be checking the object version at run-time.

We want to check during load and convert to new object format if necessary right during loading.

Please have a look at LdaModel.load for an example of "conditional" loading for backward compatibility.

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Is there any better approach other than to look at the type of values() in phrasegrams dict of the object?

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@piskvorky piskvorky Nov 22, 2018 •
edited
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No, I think that's fine: look at the type when loading the object, and if it's the "old" type (tuple), convert to the new type (floats) right away. Then at runtime, we continue working with the new type only.

return score[1]
else:
return score
except KeyError:
return -1

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Binary file added gensim/test/test_data/phraser_model_3dot6
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11 changes: 10 additions & 1 deletion gensim/test/test_phrases.py
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Expand Up @@ -12,7 +12,6 @@
import unittest

import six

import numpy as np

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Keep the blank please. We separate third party modules from internal modules by a blank line (another visual block).

The blank line between six and numpy shouldn't be there though :)

from gensim.utils import to_unicode
Expand Down Expand Up @@ -646,6 +645,16 @@ def testEncoding(self):
self.assertTrue(isinstance(transformed, six.text_type))


class TestPhraserModelCompatibilty(unittest.TestCase):

def testCompatibilty(self):
bigram_loaded = Phraser.load(datapath("phraser_model_3dot6"))
test_sentences = [u'trees', u'graph', u'minors']
prev_ver = bigram_loaded[test_sentences]
expected_res = ['trees_graph', 'minors']
self.assertEqual(prev_ver, expected_res)


if __name__ == '__main__':
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.DEBUG)
unittest.main()