vit-pytorch/pyproject.toml at main · lucidrains/vit-pytorch · GitHub

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[build-system]
requires = ["setuptools>=61", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "vit-pytorch"
version = "1.19.4"
description = "Vision Transformer (ViT) - Pytorch"
readme = { file = "README.md", content-type = "text/markdown" }
license = { file = "LICENSE" }
authors = [
  { name = "Phil Wang", email = "lucidrains@gmail.com" },
]
requires-python = ">=3.8"
keywords = [
  "artificial intelligence",
  "attention mechanism",
  "image recognition",
]
classifiers = [
  "Development Status :: 4 - Beta",
  "Intended Audience :: Developers",
  "Topic :: Scientific/Engineering :: Artificial Intelligence",
  "License :: OSI Approved :: MIT License",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3 :: Only",
  "Programming Language :: Python :: 3.8",
  "Programming Language :: Python :: 3.9",
  "Programming Language :: Python :: 3.10",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: 3.12",
]
dependencies = [
  "einops>=0.8.2",
  "torch>=2.4",
  "torchvision",
]

[project.optional-dependencies]
test = [
  "pytest",
  "torch==2.4.0",
  "torchvision==0.19.0",
]

[project.urls]
Homepage = "https://codeberg.org/lucidrains/vit-pytorch"
Repository = "https://codeberg.org/lucidrains/vit-pytorch"

[tool.setuptools]
include-package-data = true

[tool.setuptools.packages.find]
include = ["vit_pytorch*"]
exclude = ["examples*", "tests*", "test*"]

[tool.pytest.ini_options]
testpaths = ["tests", "."]
python_files = ["test_*.py", "*_test.py"]
addopts = "-q"
filterwarnings = [
  "ignore::FutureWarning",
]