Install this version:
emerge -a =dev-python/quack-kernels-0.6.5If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/quack-kernels-0.6.5Or alternatively:
emerge --autounmask-write -a =dev-python/quack-kernels-0.6.5| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.6.5 | 8 | ~amd64 | 0 |
# 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..14} )
DISTUTILS_SINGLE_IMPL=1
inherit distutils-r1 pypi
DESCRIPTION="Collection of CuTe-based CUDA kernels"
HOMEPAGE="
https://github.com/Dao-AILab/quack
https://pypi.org/project/quack-kernels/
"
LICENSE="Apache-2.0"
SLOT="0"
KEYWORDS="~amd64"
# Tests compile and execute CUDA kernels.
RESTRICT="test"
# Kernels are JIT-compiled through apache-tvm-ffi and CUTLASS DSL.
RDEPEND="
dev-python/torch-c-dlpack-ext[${PYTHON_SINGLE_USEDEP}]
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}]
$(python_gen_cond_dep '
>=dev-python/nvidia-cutlass-dsl-4.7[${PYTHON_USEDEP}]
>=dev-python/apache-tvm-ffi-0.1.6[${PYTHON_USEDEP}]
<dev-python/apache-tvm-ffi-0.2[${PYTHON_USEDEP}]
dev-python/cuda-bindings[${PYTHON_USEDEP}]
dev-python/einops[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
virtual/triton[${PYTHON_USEDEP}]
')
"
dev-python/torch-c-dlpack-ext[${PYTHON_SINGLE_USEDEP}] sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}] $(python_gen_cond_dep ' >=dev-python/nvidia-cutlass-dsl-4.7[${PYTHON_USEDEP}] >=dev-python/apache-tvm-ffi-0.1.6[${PYTHON_USEDEP}] <dev-python/apache-tvm-ffi-0.2[${PYTHON_USEDEP}] dev-python/cuda-bindings[${PYTHON_USEDEP}] dev-python/einops[${PYTHON_USEDEP}] dev-python/numpy[${PYTHON_USEDEP}] virtual/triton[${PYTHON_USEDEP}] ')