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* Parser: use C saxpy/sgemm provided by the Ops implementation This is a backport of https://github.com/explosion/spaCy/pull/10747 from the parser refactor branch. It eliminates the explicit calls to BLIS, instead using the saxpy/sgemm provided by the Ops implementation. This allows us to use Accelerate in the parser on M1 Macs (with an updated thinc-apple-ops). Performance of the de_core_news_lg pipe: BLIS 0.7.0, no thinc-apple-ops: 6385 WPS BLIS 0.7.0, thinc-apple-ops: 36455 WPS BLIS 0.9.0, no thinc-apple-ops: 19188 WPS BLIS 0.9.0, thinc-apple-ops: 36682 WPS This PR, thinc-apple-ops: 38726 WPS Performance of the de_core_news_lg pipe (only tok2vec -> parser): BLIS 0.7.0, no thinc-apple-ops: 13907 WPS BLIS 0.7.0, thinc-apple-ops: 73172 WPS BLIS 0.9.0, no thinc-apple-ops: 41576 WPS BLIS 0.9.0, thinc-apple-ops: 72569 WPS This PR, thinc-apple-ops: 87061 WPS * Require thinc >=8.1.0,<8.2.0 * Lower thinc lowerbound to 8.1.0.dev0 * Use best CPU ops for CBLAS when the parser model is on the GPU * Fix another unguarded cblas() call * Fix: use ops as a shorthand for self.model.ops Co-authored-by: Madeesh Kannan <shadeMe@users.noreply.github.com> Co-authored-by: Madeesh Kannan <shadeMe@users.noreply.github.com> |
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.. | ||
_edit_tree_internals | ||
_parser_internals | ||
legacy | ||
__init__.py | ||
attributeruler.py | ||
dep_parser.pyx | ||
edit_tree_lemmatizer.py | ||
entity_linker.py | ||
entityruler.py | ||
functions.py | ||
lemmatizer.py | ||
morphologizer.pyx | ||
multitask.pyx | ||
ner.pyx | ||
pipe.pxd | ||
pipe.pyi | ||
pipe.pyx | ||
sentencizer.pyx | ||
senter.pyx | ||
spancat.py | ||
tagger.pyx | ||
textcat_multilabel.py | ||
textcat.py | ||
tok2vec.py | ||
trainable_pipe.pxd | ||
trainable_pipe.pyx | ||
transition_parser.pxd | ||
transition_parser.pyx |