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80 lines (72 loc) · 1.83 KB
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[build-system]
requires = [
"setuptools>=68.0",
"wheel",
"torch>=2.0",
"ninja",
"numpy>=1.21",
]
build-backend = "setuptools.build_meta"
[project]
name = "MinkowskiEngine"
dynamic = ["version"]
description = "Sparse tensor convolution library for 3D deep learning (RobotFlow-Labs fork)"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.10"
authors = [
{ name = "Christopher Choy", email = "chrischoy@ai.stanford.edu" },
{ name = "RobotFlow-Labs" },
]
keywords = [
"pytorch",
"sparse tensor",
"3D vision",
"point cloud",
"deep learning",
"minkowski",
]
classifiers = [
"Environment :: Console",
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: C++",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"torch>=2.0",
"numpy>=1.21",
]
[project.optional-dependencies]
dev = [
"pytest>=7.0",
"ruff>=0.4",
]
examples = [
"open3d",
"scipy",
"scikit-learn",
]
[project.urls]
Homepage = "https://github.com/RobotFlow-Labs/MinkowskiEngine"
Repository = "https://github.com/RobotFlow-Labs/MinkowskiEngine"
Upstream = "https://github.com/NVIDIA/MinkowskiEngine"
[tool.setuptools.dynamic]
version = {attr = "MinkowskiEngine.__version__"}
[tool.setuptools.packages.find]
include = ["MinkowskiEngine*"]
[tool.ruff]
line-length = 100
target-version = "py310"
[tool.ruff.lint]
select = ["E", "F", "I", "B", "UP", "N", "C4"]
[tool.pytest.ini_options]
testpaths = ["tests/python"]
python_files = ["*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]