Install this version:
emerge -a =dev-python/cut-cross-entropy-25.1.1If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/cut-cross-entropy-25.1.1Or alternatively:
emerge --autounmask-write -a =dev-python/cut-cross-entropy-25.1.1| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 25.1.1 | 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
DISTUTILS_SINGLE_IMPL=1
PYTHON_COMPAT=( python3_{12..14} )
PYPI_PN="cut_cross_entropy"
PYPI_NO_NORMALIZE=1
inherit distutils-r1 pypi
DESCRIPTION="Memory-efficient cross entropy loss for PyTorch"
HOMEPAGE="
https://github.com/apple/ml-cross-entropy
https://pypi.org/project/cut-cross-entropy/
"
LICENSE="MIT"
SLOT="0"
KEYWORDS="~amd64"
# The suite exercises Triton kernels and requires supported accelerator hardware.
RESTRICT="test"
RDEPEND="
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}]
$(python_gen_cond_dep '
virtual/triton[${PYTHON_USEDEP}]
')
"
BDEPEND="${RDEPEND}"
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}] $(python_gen_cond_dep ' virtual/triton[${PYTHON_USEDEP}] ')
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}] $(python_gen_cond_dep ' virtual/triton[${PYTHON_USEDEP}] ')