| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 1.0.0 | 8 | ~amd64 ~x86 | 0 |
# automatically generated by g-sorcery
# please do not edit this file
EAPI=8
REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone
inherit python-r1 gs-pypi
DESCRIPTION="IBM Analog Hardware Acceleration Kit"
HOMEPAGE="https://github.com/IBM/aihwkit"
LICENSE="MIT"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME}-${REALVERSION}.tar.gz"
RESTRICT="test"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE="bert fitting visualization"
DEPENDENCIES="dev-python/torch[${PYTHON_USEDEP}]
dev-python/torchvision[${PYTHON_USEDEP}]
dev-python/scipy[${PYTHON_USEDEP}]
<dev-python/requests-3.0[${PYTHON_USEDEP}]
>=dev-python/numpy-1.22[${PYTHON_USEDEP}]
>=dev-python/protobuf-4.21.6[${PYTHON_USEDEP}]
visualization? ( >=dev-python/matplotlib-3.0[${PYTHON_USEDEP}] )
fitting? ( dev-python/lmfit[${PYTHON_USEDEP}] )
bert? ( dev-python/transformers[${PYTHON_USEDEP}] )
bert? ( dev-python/evaluate[${PYTHON_USEDEP}] )
bert? ( dev-python/datasets[${PYTHON_USEDEP}] )
bert? ( dev-python/wandb[${PYTHON_USEDEP}] )
bert? ( dev-python/tensorboard[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"
dev-python/torch[${PYTHON_USEDEP}]
dev-python/torchvision[${PYTHON_USEDEP}]
dev-python/scipy[${PYTHON_USEDEP}]
<dev-python/requests-3.0[${PYTHON_USEDEP}]
>=dev-python/numpy-1.22[${PYTHON_USEDEP}]
>=dev-python/protobuf-4.21.6[${PYTHON_USEDEP}]
visualization? ( >=dev-python/matplotlib-3.0[${PYTHON_USEDEP}] )
fitting? ( dev-python/lmfit[${PYTHON_USEDEP}] )
bert? ( dev-python/transformers[${PYTHON_USEDEP}] )
bert? ( dev-python/evaluate[${PYTHON_USEDEP}] )
bert? ( dev-python/datasets[${PYTHON_USEDEP}] )
bert? ( dev-python/wandb[${PYTHON_USEDEP}] )
bert? ( dev-python/tensorboard[${PYTHON_USEDEP}] )
dev-python/torch[${PYTHON_USEDEP}]
dev-python/torchvision[${PYTHON_USEDEP}]
dev-python/scipy[${PYTHON_USEDEP}]
<dev-python/requests-3.0[${PYTHON_USEDEP}]
>=dev-python/numpy-1.22[${PYTHON_USEDEP}]
>=dev-python/protobuf-4.21.6[${PYTHON_USEDEP}]
visualization? ( >=dev-python/matplotlib-3.0[${PYTHON_USEDEP}] )
fitting? ( dev-python/lmfit[${PYTHON_USEDEP}] )
bert? ( dev-python/transformers[${PYTHON_USEDEP}] )
bert? ( dev-python/evaluate[${PYTHON_USEDEP}] )
bert? ( dev-python/datasets[${PYTHON_USEDEP}] )
bert? ( dev-python/wandb[${PYTHON_USEDEP}] )
bert? ( dev-python/tensorboard[${PYTHON_USEDEP}] )
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | aihwkit-1.0.0.tar.gz | 639521 bytes | https://files.pythonhosted.org/packages/source/${REALNAME::1}/aihwkit/aihwkit-1.0.0.tar.gz |