pyproject.toml

[project]
name = "x-transformers"
version = "2.0.2"
description = "X-Transformers"
authors = [
    { name = "Phil Wang", email = "lucidrains@gmail.com" }
]
readme = "README.md"
requires-python = ">= 3.9"
license = { file = "LICENSE" }
keywords = [
    'artificial intelligence',
    'attention mechanism',
    'transformers'
  ]
classifiers=[
    'Development Status :: 4 - Beta',
    'Intended Audience :: Developers',
    'Topic :: Scientific/Engineering :: Artificial Intelligence',
    'License :: OSI Approved :: MIT License',
    'Programming Language :: Python :: 3.6',
  ]

dependencies = [
    'einx>=0.3.0',
    'einops>=0.8.0',
    'loguru',
    'packaging>=21.0',
    'torch>=2.0',
]

[project.urls]
Homepage = "https://pypi.org/project/x-transformers/"
Repository = "https://github.com/lucidrains/x-transformers"

[project.optional-dependencies]
examples = [
    "lion-pytorch",
    "tqdm",
    "torchvision"
]

test = [
    "pytest",
]

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"


[tool.pytest.ini_options]
pythonpath = [
  "."
]

[tool.hatch.metadata]
allow-direct-references = true

[tool.hatch.build.targets.wheel]
packages = ["x_transformers"]