Install this version:
emerge -a =dev-python/rwkv-fla-0.7.202508221413
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/rwkv-fla-0.7.202508221413
Or alternatively:
emerge --autounmask-write -a =dev-python/rwkv-fla-0.7.202508221413
# automatically generated by g-sorcery
# please do not edit this file
EAPI=8
REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone
inherit python-r1 gs-pypi
DESCRIPTION="Fast Triton-based implementations for RWKV"
HOMEPAGE="https://github.com/TorchRWKV/flash-linear-attention"
LICENSE="MIT"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME//-/_}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME//-/_}-${REALVERSION}.tar.gz"
RESTRICT="test"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE="benchmark conv1d"
DEPENDENCIES="dev-python/transformers[${PYTHON_USEDEP}]
dev-python/datasets[${PYTHON_USEDEP}]
dev-python/einops[${PYTHON_USEDEP}]
dev-python/pytest[${PYTHON_USEDEP}]
conv1d? ( dev-python/causal-conv1d[${PYTHON_USEDEP}] )
benchmark? ( dev-python/matplotlib[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"
Manage flags for this package:
euse -i <flag> -p dev-python/rwkv-fla |
euse -E <flag> -p dev-python/rwkv-fla |
euse -D <flag> -p dev-python/rwkv-fla
dev-python/transformers[] dev-python/datasets[] dev-python/einops[] dev-python/pytest[] conv1d? ( dev-python/causal-conv1d[] ) benchmark? ( dev-python/matplotlib[] )
dev-python/transformers[] dev-python/datasets[] dev-python/einops[] dev-python/pytest[] conv1d? ( dev-python/causal-conv1d[] ) benchmark? ( dev-python/matplotlib[] )