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pyproject.toml
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39 lines (35 loc) · 1.06 KB
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[build-system]
requires = ["setuptools>=64", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "flash-kmeans"
version = "0.3.0"
description = "Fast batched K-Means clustering with Triton GPU kernels"
readme = "README.md"
requires-python = ">=3.8"
authors = [
{ name = "Shuo Yang", email = "andy_yang@berkeley.edu" }
]
license = { file = "LICENSE.txt" }
keywords = ["kmeans", "gpu", "triton", "clustering", "pytorch"]
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"torch>=2.0",
"triton>=2.0",
"numpy",
"tqdm"
]
[project.urls]
Homepage = "https://github.com/svg-project/flash-kmeans"
BugTracker = "https://github.com/svg-project/flash-kmeans/issues"
Source = "https://github.com/svg-project/flash-kmeans"
[tool.setuptools]
packages = ["flash_kmeans"]
[tool.setuptools.package-data]
# Include any Triton kernels or additional runtime data if needed
flash_kmeans = ["kernels/*"]