explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2024-12-25 17:36:30 +03:00
Code Issues Packages Projects Releases Wiki Activity

Completely cleanup tokenizer cache

Browse Source 
Tokenizer cache can have be different keys than string

That modification can slow down tokenizer and need to be measured
This commit is contained in:
Roman Domrachev 2017-11-15 17:55:48 +03:00
parent 3e21680814
commit 505c6a2f2f
3 changed files with 11 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
spacy/language.py
View File

@ -561,7 +561,7 @@ class Language(object):
old_refs, recent_refs = recent_refs, old_refs
keys, strings = self.vocab.strings._cleanup_stale_strings(original_strings_data)
self.vocab._reset_cache(keys, strings)
self.tokenizer._reset_cache(keys)
self.tokenizer._reset_cache()
nr_seen = 0
def to_disk(self, path, disable=tuple()):

10
spacy/tests/regression/test_issue1506.py
View File

@ -11,19 +11,19 @@ def test_issue1506():
def string_generator():
for _ in range(10001):
yield "It's sentence produced by that bug."
yield u"It's sentence produced by that bug."
for _ in range(10001):
yield "I erase some hbdsaj lemmas."
yield u"I erase some hbdsaj lemmas."
for _ in range(10001):
yield "I erase lemmas."
yield u"I erase lemmas."
for _ in range(10001):
yield "It's sentence produced by that bug."
yield u"It's sentence produced by that bug."
for _ in range(10001):
yield "It's sentence produced by that bug."
yield u"It's sentence produced by that bug."
for i, d in enumerate(nlp.pipe(string_generator())):
# We should run cleanup more than one time to actually cleanup data.

9
spacy/tokenizer.pyx
View File

@ -132,10 +132,11 @@ cdef class Tokenizer:
for text in texts:
yield self(text)
def _reset_cache(self, keys):
for k in keys:
del self._cache[k]
del self._specials[k]
def _reset_cache(self):
# We cannot do selective cache cleanup because cache can be different than words
# saved in StringStore (prefixes/suffixes/etc).
self._cache = PreshMap()
self._specials = PreshMap()
cdef int _try_cache(self, hash_t key, Doc tokens) except -1:
cached = <_Cached*>self._cache.get(key)