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pyproject.toml
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76 lines (67 loc) · 1.87 KB
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[build-system]
requires = ["setuptools>=64", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "flash-sparse-attn"
dynamic = ["version"]
description = "Flash Sparse Attention: Fast and Memory-Efficient Trainable Sparse Attention"
readme = "README.md"
license = { file = "LICENSE" }
authors = [
{ name = "Jingze Shi", email = "losercheems@gmail.com" },
{ name = "Yifan Wu", email = "ywu012@connect.hkust-gz.edu.cn" },
{ name = "Bingheng Wu", email = "wubingheng52136@gmail.com" },
{ name = "Yiran Peng", email = "amagipeng@gmail.com" },
{ name = "Liangdong Wang", email = "wangliangdong@baai.ac.cn" },
{ name = "Guang Li", email = "liuguang@baai.ac.cn" },
{ name = "Yuyu Luo", email = "yuyuluo@hkust-gz.edu.cn" }
]
maintainers = [
{ name = "Jingze Shi", email = "losercheems@gmail.com" }
]
requires-python = ">=3.10"
dependencies = [
"triton>=2.0.0"
]
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: BSD License",
"Operating System :: Unix"
]
[project.urls]
Homepage = "https://github.com/HKUSTDial/flash-sparse-attention"
Source = "https://github.com/HKUSTDial/flash-sparse-attention"
Issues = "https://github.com/HKUSTDial/flash-sparse-attention/issues"
[project.optional-dependencies]
cute = [
"nvidia-cutlass-dsl>=4.4.2",
"einops",
"typing_extensions",
"apache-tvm-ffi>=0.1.5,<0.2",
"torch-c-dlpack-ext",
"quack-kernels>=0.3.3"
]
dev = [
"transformers>=4.38.0",
"pytest>=6.0",
"pytest-benchmark",
"numpy",
"tabulate>=0.9.0"
]
docs = [
"mkdocs>=1.6",
"mkdocs-material>=9.5",
"mkdocstrings[python]>=0.28",
"pymdown-extensions>=10.0"
]
[tool.setuptools.dynamic]
version = { attr = "flash_sparse_attn.__version__" }
[tool.setuptools.packages.find]
where = ["."]
include = ["flash_sparse_attn*"]
exclude = [
"docs",
]
[tool.setuptools.package-data]
flash_sparse_attn = ["*.py"]
[tool.setuptools]