| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.9.7 | 8 | ~amd64 ~x86 | 0 |
# automatically generated by g-sorcery
# please do not edit this file
EAPI=8
REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone
inherit python-r1 gs-pypi
DESCRIPTION="Repository of AutoRound: Advanced Weight-Only Quantization Algorithm for LLMs"
HOMEPAGE="https://github.com/intel/auto-round"
LICENSE="Apache-2.0"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME//-/_}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME//-/_}-${REALVERSION}.tar.gz"
RESTRICT="test"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE="cpu kernel"
DEPENDENCIES="dev-python/accelerate[${PYTHON_USEDEP}]
dev-python/datasets[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
dev-python/py-cpuinfo[${PYTHON_USEDEP}]
dev-python/threadpoolctl[${PYTHON_USEDEP}]
dev-python/torch[${PYTHON_USEDEP}]
dev-python/tqdm[${PYTHON_USEDEP}]
dev-python/transformers[${PYTHON_USEDEP}]
cpu? ( dev-python/numba[${PYTHON_USEDEP}] )
cpu? ( dev-python/tbb[${PYTHON_USEDEP}] )
cpu? ( dev-python/intel-extension-for-pytorch[${PYTHON_USEDEP}] )
kernel? ( dev-python/auto-round-kernel[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"
dev-python/accelerate[${PYTHON_USEDEP}]
dev-python/datasets[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
dev-python/py-cpuinfo[${PYTHON_USEDEP}]
dev-python/threadpoolctl[${PYTHON_USEDEP}]
dev-python/torch[${PYTHON_USEDEP}]
dev-python/tqdm[${PYTHON_USEDEP}]
dev-python/transformers[${PYTHON_USEDEP}]
cpu? ( dev-python/numba[${PYTHON_USEDEP}] )
cpu? ( dev-python/tbb[${PYTHON_USEDEP}] )
cpu? ( dev-python/intel-extension-for-pytorch[${PYTHON_USEDEP}] )
kernel? ( dev-python/auto-round-kernel[${PYTHON_USEDEP}] )
dev-python/accelerate[${PYTHON_USEDEP}]
dev-python/datasets[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
dev-python/py-cpuinfo[${PYTHON_USEDEP}]
dev-python/threadpoolctl[${PYTHON_USEDEP}]
dev-python/torch[${PYTHON_USEDEP}]
dev-python/tqdm[${PYTHON_USEDEP}]
dev-python/transformers[${PYTHON_USEDEP}]
cpu? ( dev-python/numba[${PYTHON_USEDEP}] )
cpu? ( dev-python/tbb[${PYTHON_USEDEP}] )
cpu? ( dev-python/intel-extension-for-pytorch[${PYTHON_USEDEP}] )
kernel? ( dev-python/auto-round-kernel[${PYTHON_USEDEP}] )