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e5debc68e4
* Tagger: use unnormalized probabilities for inference Using unnormalized softmax avoids use of the relatively expensive exp function, which can significantly speed up non-transformer models (e.g. I got a speedup of 27% on a German tagging + parsing pipeline). * Add spacy.Tagger.v2 with configurable normalization Normalization of probabilities is disabled by default to improve performance. * Update documentation, models, and tests to spacy.Tagger.v2 * Move Tagger.v1 to spacy-legacy * docs/architectures: run prettier * Unnormalized softmax is now a Softmax_v2 option * Require thinc 8.0.14 and spacy-legacy 3.0.9
14 lines
290 B
TOML
14 lines
290 B
TOML
[build-system]
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requires = [
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"setuptools",
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"cython>=0.25,<3.0",
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"cymem>=2.0.2,<2.1.0",
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"preshed>=3.0.2,<3.1.0",
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"murmurhash>=0.28.0,<1.1.0",
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"thinc>=8.0.14,<8.1.0",
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"blis>=0.4.0,<0.8.0",
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"pathy",
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"numpy>=1.15.0",
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]
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build-backend = "setuptools.build_meta"
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