# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{12..13} )
DISTUTILS_SINGLE_IMPL=1
inherit distutils-r1 cuda
DESCRIPTION="Modular primitives for high-performance differentiable rendering"
HOMEPAGE="https://github.com/NVlabs/nvdiffrast"
SRC_URI="https://github.com/NVlabs/nvdiffrast/archive/refs/tags/v${PV}.tar.gz -> ${P}.gh.tar.gz"
LICENSE="NVIDIA-nvdiffrast"
SLOT="0"
KEYWORDS="~amd64"
# NVIDIA Source Code License (non-commercial): no mirroring / binary redist.
RESTRICT="bindist mirror"
# nvdiffrast 0.4.0 compiles its CUDA ops (_nvdiffrast_c) at build time via
# torch's cpp_extension (older versions JIT'd at first use). torch reads CC/CXX
# for nvcc's -ccbin, so pin them to the cuda-eclass gcc (<=15 for CUDA 13.x).
# ninja stays a runtime dep for the GL-context plugin nvdiffrast still JITs.
RDEPEND="
sci-ml/caffe2[${PYTHON_SINGLE_USEDEP}]
app-alternatives/ninja
$(python_gen_cond_dep '
dev-python/numpy[${PYTHON_USEDEP}]
')
"
DEPEND="${RDEPEND}"
BDEPEND="
$(python_gen_cond_dep '
dev-python/setuptools[${PYTHON_USEDEP}]
')
"
src_prepare() {
distutils-r1_src_prepare
}
src_compile() {
local gccdir
gccdir=$(cuda_gccdir) || die
export CC="${gccdir}/gcc" CXX="${gccdir}/g++"
export TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-8.0 8.6 8.9 9.0}"
export FORCE_CUDA=1 MAX_JOBS="${MAX_JOBS:-4}"
distutils-r1_src_compile
}