Install this version:
emerge -a =sci-ml/spandrel-0.4.2If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =sci-ml/spandrel-0.4.2Or alternatively:
emerge --autounmask-write -a =sci-ml/spandrel-0.4.2| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.4.2 | 8 | ~amd64 | 0 |
# Copyright 2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=setuptools
DISTUTILS_SINGLE_IMPL=1
PYTHON_COMPAT=( python3_{12..14} )
inherit distutils-r1 pypi
DESCRIPTION="Load and run pretrained PyTorch image model architectures"
HOMEPAGE="https://github.com/chaiNNer-org/spandrel https://pypi.org/project/spandrel/"
LICENSE="MIT"
SLOT="0"
KEYWORDS="~amd64"
RDEPEND="
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}]
sci-ml/torchvision[${PYTHON_SINGLE_USEDEP}]
$(python_gen_cond_dep '
sci-ml/safetensors[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
sci-ml/einops[${PYTHON_USEDEP}]
dev-python/typing-extensions[${PYTHON_USEDEP}]
')
"
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}] sci-ml/torchvision[${PYTHON_SINGLE_USEDEP}] $(python_gen_cond_dep ' sci-ml/safetensors[${PYTHON_USEDEP}] dev-python/numpy[${PYTHON_USEDEP}] sci-ml/einops[${PYTHON_USEDEP}] dev-python/typing-extensions[${PYTHON_USEDEP}] ')