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PORTNAME= natten
DISTVERSIONPREFIX= v
DISTVERSION= 0.21.0
CATEGORIES= misc python # machine-learning
#MASTER_SITES= PYPI # no tests
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= yuri@FreeBSD.org
COMMENT= Neighborhood Attention Extension for PyTorch
WWW= https://natten.org/ \
https://github.com/SHI-Labs/NATTEN
LICENSE= MIT
LICENSE_FILE= ${WRKSRC}/LICENSE
# this BUILD_DEPENDS should be used when CUDA would be available
#BUILD_DEPENDS= cmake:devel/cmake-core \
pybind11>0:devel/pybind11 \
${PYTHON_PKGNAMEPREFIX}pytorch>=2.0.0:misc/py-pytorch@${PY_FLAVOR}
BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}pytorch>=2.0.0:misc/py-pytorch@${PY_FLAVOR}
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}pytorch>=2.0.0:misc/py-pytorch@${PY_FLAVOR}
USES= localbase python
USE_PYTHON= distutils autoplist pytest
USE_GITHUB= yes
GH_ACCOUNT= SHI-Labs
GH_PROJECT= NATTEN
TEST_ENV= ${MAKE_ENV} PYTHONPATH=${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}
NO_ARCH= yes # no arch w/out CUDA
post-install:
# delete stray files, see https://github.com/SHI-Labs/NATTEN/issues/152
@${RM} -r \
${STAGEDIR}${PYTHON_SITELIBDIR}/CMakeFiles \
${STAGEDIR}${PYTHON_SITELIBDIR}/CMakeCache.txt \
${STAGEDIR}${PYTHON_SITELIBDIR}/cmake_install.cmake \
${STAGEDIR}${PYTHON_SITELIBDIR}/Makefile
# tests as of 0.21.0: 1 passed, 55 skipped, 1 warning in 14.76s
.include <bsd.port.mk>
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