setup.py 4.46 KB
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# coding=utf-8

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# SPDX-FileCopyrightText: Copyright (c) 2022 The torch-harmonics Authors. All rights reserved.
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# SPDX-License-Identifier: BSD-3-Clause
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#
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# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
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import sys

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try:
    from setuptools import setup, find_packages
except ImportError:
    from distutils.core import setup, find_packages
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import re
from pathlib import Path

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import torch
from torch.utils import cpp_extension
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def version(root_path):
    """Returns the version taken from __init__.py

    Parameters
    ----------
    root_path : pathlib.Path
        path to the root of the package

    Reference
    ---------
    https://packaging.python.org/guides/single-sourcing-package-version/
    """
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    version_path = root_path.joinpath("torch_harmonics", "__init__.py")
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    with version_path.open() as f:
        version_file = f.read()
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    version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", version_file, re.M)
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    if version_match:
        return version_match.group(1)
    raise RuntimeError("Unable to find version string.")


def readme(root_path):
    """Returns the text content of the README.md of the package

    Parameters
    ----------
    root_path : pathlib.Path
        path to the root of the package
    """
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    with root_path.joinpath("README.md").open(encoding="UTF-8") as f:
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        return f.read()


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def get_ext_modules(argv):

    compile_cuda_extension = False

    if "--cuda_ext" in sys.argv:
        sys.argv.remove("--cuda_ext")
        compile_cuda_extension = True

    ext_modules = [
        cpp_extension.CppExtension("disco_helpers", ["torch_harmonics/csrc/disco/disco_helpers.cpp"]),
    ]

    if torch.cuda.is_available() or compile_cuda_extension:
        ext_modules.append(
            cpp_extension.CUDAExtension(
                "disco_cuda_extension",
                [
                    "torch_harmonics/csrc/disco/disco_interface.cu",
                    "torch_harmonics/csrc/disco/disco_cuda_fwd.cu",
                    "torch_harmonics/csrc/disco/disco_cuda_bwd.cu",
                ],
            )
        )

    return ext_modules


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root_path = Path(__file__).parent
README = readme(root_path)
VERSION = version(root_path)

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# external modules
ext_modules = get_ext_modules(sys.argv)
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config = {
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    "name": "torch_harmonics",
    "packages": find_packages(),
    "description": "A differentiable spherical harmonic transform for PyTorch.",
    "long_description": README,
    "long_description_content_type": "text/markdown",
    "url": "https://github.com/NVIDIA/torch-harmonics",
    "author": "Boris Bonev",
    "author_email": "bbonev@nvidia.com",
    "version": VERSION,
    "install_requires": ["torch", "numpy"],
    "extras_require": {
        "sfno": ["tensorly", "tensorly-torch"],
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    },
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    "license": "Modified BSD",
    "scripts": [],
    "include_package_data": True,
    "classifiers": ["Topic :: Scientific/Engineering", "License :: OSI Approved :: BSD License", "Programming Language :: Python :: 3"],
    "ext_modules": ext_modules,
    "cmdclass": {"build_ext": cpp_extension.BuildExtension} if ext_modules else {},
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}

setup(**config)