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dev-python/spandrel - 0.4.2-r1 (stuff)

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Install

Install this version:

emerge -a =dev-python/spandrel-0.4.2-r1

If this version is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask =dev-python/spandrel-0.4.2-r1

Or alternatively:

emerge --autounmask-write -a =dev-python/spandrel-0.4.2-r1

Package Information

Description:
Load and run pretrained PyTorch image model architectures
Homepage:
https://github.com/chaiNNer-org/spandrel https://pypi.org/project/spandrel/
License:
MIT

Ebuild Details

Version EAPI Keywords Slot
0.4.2-r1 8 ~amd64 ~arm64 0
View Raw Ebuild 
# Copyright 1999-2026 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 ~arm64"

# spandrel imports torch directly, so declare sci-ml/pytorch rather than
# relying on sci-ml/torchvision to drag it in; that works today only because
# torchvision happens to carry =sci-ml/pytorch-2.13*. verified 2026-07-27
RDEPEND="
	sci-ml/caffe2[${PYTHON_SINGLE_USEDEP}]
	sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}]
	sci-ml/torchvision[${PYTHON_SINGLE_USEDEP}]
	$(python_gen_cond_dep '
		sci-ml/safetensors[${PYTHON_USEDEP}]
		dev-python/numpy[${PYTHON_USEDEP}]
		dev-python/einops[${PYTHON_USEDEP}]
		dev-python/typing-extensions[${PYTHON_USEDEP}]
	')
"

Inherited Eclasses

distutils-r1
pypi

Dependencies

RDEPEND

	sci-ml/caffe2[${PYTHON_SINGLE_USEDEP}]
	sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}]
	sci-ml/torchvision[${PYTHON_SINGLE_USEDEP}]
	$(python_gen_cond_dep '
		sci-ml/safetensors[${PYTHON_USEDEP}]
		dev-python/numpy[${PYTHON_USEDEP}]
		dev-python/einops[${PYTHON_USEDEP}]
		dev-python/typing-extensions[${PYTHON_USEDEP}]
	')