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5484dca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | #!/usr/bin/env python
import os
from setuptools import find_packages, setup
install_requires = [
"torch>=1.11.0",
"matplotlib",
"numpy", # Due to pandas incompatibility
"scipy",
"scikit-learn",
"torchdyn>=1.0.6",
"pot",
"torchdiffeq",
"absl-py",
"pandas>=2.2.2",
]
version_py = os.path.join(os.path.dirname(__file__), "torchcfm", "version.py")
version = open(version_py).read().strip().split("=")[-1].replace('"', "").strip()
readme = open("README.md", encoding="utf8").read()
setup(
name="torchcfm",
version=version,
description="Conditional Flow Matching for Fast Continuous Normalizing Flow Training.",
author="Alexander Tong, Kilian Fatras",
author_email="alexandertongdev@gmail.com",
url="https://github.com/atong01/conditional-flow-matching",
install_requires=install_requires,
license="MIT",
long_description=readme,
long_description_content_type="text/markdown",
packages=find_packages(exclude=["tests", "tests.*"]),
extras_require={"forest-flow": ["xgboost", "scikit-learn", "ForestDiffusion"]},
)
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