spaCy/setup.cfg
Paul O'Leary McCann e656189ec3
Change GPU efficient textcat to use CNN, not BOW in generated configs (#11900)
* Change GPU efficient textcat to use CNN, not BOW

If you generate a config with a textcat component using GPU
(transformers), the defaut option (efficiency) uses a BOW architecture,
which does not use tok2vec features. While that can make sense as part
of a larger pipeline, in the case of just a transformer and a textcat,
that means the transformer is doing a lot of work for no purpose.

This changes it so that the CNN architecture is used instead. It could
also be changed to be the same as the accuracy config, which uses the
ensemble architecture.

* Add the transformer when using a textcat with GPU

* Switch ubuntu-latest to ubuntu-20.04 in main tests (#11928)

* Switch ubuntu-latest to ubuntu-20.04 in main tests

* Only use 20.04 for 3.6

* Require thinc v8.1.7

* Require thinc v8.1.8

* Break up longer expression

---------

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
2023-03-07 17:47:45 +01:00

153 lines
3.7 KiB
INI

[metadata]
description = Industrial-strength Natural Language Processing (NLP) in Python
url = https://spacy.io
author = Explosion
author_email = contact@explosion.ai
license = MIT
long_description = file: README.md
long_description_content_type = text/markdown
classifiers =
Development Status :: 5 - Production/Stable
Environment :: Console
Intended Audience :: Developers
Intended Audience :: Science/Research
License :: OSI Approved :: MIT License
Operating System :: POSIX :: Linux
Operating System :: MacOS :: MacOS X
Operating System :: Microsoft :: Windows
Programming Language :: Cython
Programming Language :: Python :: 3
Programming Language :: Python :: 3.6
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
Programming Language :: Python :: 3.9
Programming Language :: Python :: 3.10
Programming Language :: Python :: 3.11
Topic :: Scientific/Engineering
project_urls =
Release notes = https://github.com/explosion/spaCy/releases
Source = https://github.com/explosion/spaCy
[options]
zip_safe = false
include_package_data = true
python_requires = >=3.6
setup_requires =
cython>=0.25,<3.0
numpy>=1.15.0
# We also need our Cython packages here to compile against
cymem>=2.0.2,<2.1.0
preshed>=3.0.2,<3.1.0
murmurhash>=0.28.0,<1.1.0
thinc>=8.1.8,<8.2.0
install_requires =
# Our libraries
spacy-legacy>=3.0.11,<3.1.0
spacy-loggers>=1.0.0,<2.0.0
murmurhash>=0.28.0,<1.1.0
cymem>=2.0.2,<2.1.0
preshed>=3.0.2,<3.1.0
thinc>=8.1.8,<8.2.0
wasabi>=0.9.1,<1.2.0
srsly>=2.4.3,<3.0.0
catalogue>=2.0.6,<2.1.0
# Third-party dependencies
typer>=0.3.0,<0.8.0
pathy>=0.10.0
smart-open>=5.2.1,<7.0.0
tqdm>=4.38.0,<5.0.0
numpy>=1.15.0
requests>=2.13.0,<3.0.0
pydantic>=1.7.4,!=1.8,!=1.8.1,<1.11.0
jinja2
# Official Python utilities
setuptools
packaging>=20.0
typing_extensions>=3.7.4.1,<4.5.0; python_version < "3.8"
langcodes>=3.2.0,<4.0.0
[options.entry_points]
console_scripts =
spacy = spacy.cli:setup_cli
[options.extras_require]
lookups =
spacy_lookups_data>=1.0.3,<1.1.0
transformers =
spacy_transformers>=1.1.2,<1.3.0
ray =
spacy_ray>=0.1.0,<1.0.0
cuda =
cupy>=5.0.0b4,<12.0.0
cuda80 =
cupy-cuda80>=5.0.0b4,<12.0.0
cuda90 =
cupy-cuda90>=5.0.0b4,<12.0.0
cuda91 =
cupy-cuda91>=5.0.0b4,<12.0.0
cuda92 =
cupy-cuda92>=5.0.0b4,<12.0.0
cuda100 =
cupy-cuda100>=5.0.0b4,<12.0.0
cuda101 =
cupy-cuda101>=5.0.0b4,<12.0.0
cuda102 =
cupy-cuda102>=5.0.0b4,<12.0.0
cuda110 =
cupy-cuda110>=5.0.0b4,<12.0.0
cuda111 =
cupy-cuda111>=5.0.0b4,<12.0.0
cuda112 =
cupy-cuda112>=5.0.0b4,<12.0.0
cuda113 =
cupy-cuda113>=5.0.0b4,<12.0.0
cuda114 =
cupy-cuda114>=5.0.0b4,<12.0.0
cuda115 =
cupy-cuda115>=5.0.0b4,<12.0.0
cuda116 =
cupy-cuda116>=5.0.0b4,<12.0.0
cuda117 =
cupy-cuda117>=5.0.0b4,<12.0.0
cuda11x =
cupy-cuda11x>=11.0.0,<12.0.0
cuda-autodetect =
cupy-wheel>=11.0.0,<12.0.0
apple =
thinc-apple-ops>=0.1.0.dev0,<1.0.0
# Language tokenizers with external dependencies
ja =
sudachipy>=0.5.2,!=0.6.1
sudachidict_core>=20211220
ko =
natto-py>=0.9.0
th =
pythainlp>=2.0
[bdist_wheel]
universal = false
[sdist]
formats = gztar
[flake8]
ignore = E203, E266, E501, E731, W503, E741, F541
max-line-length = 80
select = B,C,E,F,W,T4,B9
exclude =
.env,
.git,
__pycache__,
_tokenizer_exceptions_list.py,
[tool:pytest]
markers =
slow: mark a test as slow
issue: reference specific issue
[mypy]
ignore_missing_imports = True
no_implicit_optional = True
plugins = pydantic.mypy, thinc.mypy
allow_redefinition = True