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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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.. | ||
models | ||
__init__.py | ||
_character_embed.py | ||
_precomputable_affine.py | ||
callbacks.py | ||
extract_ngrams.py | ||
extract_spans.py | ||
featureextractor.py | ||
parser_model.pxd | ||
parser_model.pyx | ||
staticvectors.py | ||
tb_framework.py |