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f12ab4c about 1 year ago

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	# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
	#
	# NVIDIA CORPORATION and its licensors retain all intellectual property
	# and proprietary rights in and to this software, related documentation
	# and any modifications thereto. Any use, reproduction, disclosure or
	# distribution of this software and related documentation without an express
	# license agreement from NVIDIA CORPORATION is strictly prohibited.

	from pose_estimation.nvdiffrast import nvdiffrast
	import setuptools
	import os

	with open("README.md", "r") as fh:
	long_description = fh.read()

	setuptools.setup(
	name="nvdiffrast",
	version=nvdiffrast.__version__,
	author="Samuli Laine",
	author_email="slaine@nvidia.com",
	description="nvdiffrast - modular primitives for high-performance differentiable rendering",
	long_description=long_description,
	long_description_content_type="text/markdown",
	url="https://github.com/NVlabs/nvdiffrast",
	packages=setuptools.find_packages(),
	package_data={
	'nvdiffrast': [
	'common/*.h',
	'common/*.inl',
	'common/*.cu',
	'common/*.cpp',
	'lib/*.h',
	'torch/*.h',
	'torch/*.inl',
	'torch/*.cpp',
	'tensorflow/*.cu',
	] + (['lib/*.lib'] if os.name == 'nt' else [])
	},
	include_package_data=True,
	install_requires=['numpy'], # note: can't require torch here as it will install torch even for a TensorFlow container
	classifiers=[
	"Programming Language :: Python :: 3",
	"Operating System :: OS Independent",
	],
	python_requires='>=3.6',
	)