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Daniël de Kok e5debc68e4
Tagger: use unnormalized probabilities for inference () 
* 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
2022-03-15 14:15:31 +01:00
..
models Tagger: use unnormalized probabilities for inference () 2022-03-15 14:15:31 +01:00
__init__.py Auto-format code with black () 2021-10-22 13:03:10 +02:00
_character_embed.py 🏷 Add Mypy check to CI and ignore all existing Mypy errors () 2021-10-14 15:21:40 +02:00
_precomputable_affine.py TransitionBasedParser.v1 to legacy () 2021-07-06 15:26:45 +02:00
callbacks.py Auto-format code with black () 2021-10-22 13:03:10 +02:00
extract_ngrams.py 🏷 Add Mypy check to CI and ignore all existing Mypy errors () 2021-10-14 15:21:40 +02:00
extract_spans.py Fix entity linker batching () 2022-03-04 09:17:36 +01:00
featureextractor.py Fix import 2020-10-02 01:12:34 +02:00
parser_model.pxd The Parser is now a Pipe (2) () 2020-07-30 23:30:54 +02:00
parser_model.pyx The Parser is now a Pipe (2) () 2020-07-30 23:30:54 +02:00
staticvectors.py User fewer Vector internals () 2022-01-18 17:14:35 +01:00
tb_framework.py TransitionBasedParser.v1 to legacy () 2021-07-06 15:26:45 +02:00