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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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4 changes: 4 additions & 0 deletions gensim/models/phrases.py
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Original file line number Diff line number Diff line change
Expand Up @@ -208,6 +208,10 @@ def load(cls, *args, **kwargs):
"""
model = super(PhrasesTransformation, cls).load(*args, **kwargs)
# update older models
# if value in phrasegrams dict is a tuple, load only the scores.
if len(model.__dict__['phrasegrams']):
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if model.phrasegrams: more Pythonic.

if isinstance(list(model.__dict__['phrasegrams'].values())[0], tuple):
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More readable:

if model.phrasegrams:
    first_value = list(model.phrasegrams.values())[0]
    if isinstance(first_value, tuple):
        …

model.__dict__['phrasegrams'].update((k, v[1]) for k, v in model.__dict__['phrasegrams'].items())
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@piskvorky piskvorky Nov 26, 2018 •
edited
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This is hard to read. Can you rephrase this with normal dict access syntax, and using better variable names? (not k and v and v[1]).

Also, changing the dict at the same time you're iterating over it sounds tricky. It may be safer to iterate over each value, and if it's a tuple, change it right away (in-place assignment, without a full dict copy).

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Would there be any case where some values are tuple and some are not?
If not, we can check only one instance and based on that modify the entire dictionary.

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@piskvorky piskvorky Nov 27, 2018 •
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I don't think so -- all values should always be in the same format (all old, all new).

My suggestion was more around being careful with modify-while-iterating and creating-a-copy-of-large-dict. So whether you check each value or check just once makes little difference.

In fact, per-value checks may be a bit cleaner, because there's no need for the special case of "dictionary is empty", or materializing all the values into a list only to pick the first one.

# if no scoring parameter, use default scoring
if not hasattr(model, 'scoring'):
logger.info('older version of %s loaded without scoring function', cls.__name__)
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