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nvidia-apex-23.08.ebuild

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Anton Bolshakov 2024-03-19 12:55:02 +08:00
parent 20730909d7
commit 7f035ad5d7
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2 changed files with 6 additions and 6 deletions
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2
dev-python/nvidia-apex/Manifest
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@ -1,3 +1,3 @@
DIST nvidia-apex-22.04-gh.tar.gz 769456 BLAKE2B 9c9270e5b19afa244784f0825a2c093820aab5e64f5621ea0350da6b127d14b734fcbf16982ff889a82b624842d982c0f447146a9efddd165dd59916988ee955 SHA512 347a67640dd1903442dacc59cb7c15efe299cafc3d7afd36ae2f1fbe4b7b08d23c18a5351035f62f3b7f47023331d37485a99cc0049ef8c788f27a32146d9e64
DIST nvidia-apex-22.12-gh.tar.gz 790427 BLAKE2B 2b53e1c2ded28d6f3de8812bd6e8ed1db35d10b3293ef53ea7df63eebe5474f2b8e8af6c5700e9f19581715cb73de893b2736944ef621f2eff37959650641784 SHA512 418c76f655d0cb1cfebc8b007b914a2b8e3d9d54efd6496911702577913f7887bc744228e3a465c13c77bcccbf7971f9f9a5a2bd217e395abb92b1fdfbc18ff2
DIST nvidia-apex-23.05-gh.tar.gz 818299 BLAKE2B 8be27cf6a6776e6ff4ca6c3871194b2018eb049ef64d3266859531d2a29edfe3c8363b02aa21663cfb09999b8be71049e969407406de64aa841ca8ee3e6539d7 SHA512 0896514e14809bb8b35d13eddb49eb82179ce008e613c968574364d648f50c2b63ce10af10ae77f6cf3a9833450f3732bf22b4ce17557cbcb897e88251ab4d06
DIST nvidia-apex-23.08-gh.tar.gz 848374 BLAKE2B 1a2a0c55735f9afa7eeaec248071bfb343f52c3e162f58db2d5dd500f00fb60ce1e01589db52979a625feb4dcc1be9d1c68faae2f1ba827c2d7f7562a656cf7a SHA512 a6179e642224a9aef128d168becff6ff811c0e01e92e06b937bde69ddd5276b2a3873a021b108c80bdf993e40e74241509d1ef6a585eba745e0fc71e8eb44274

10
dev-python/nvidia-apex/nvidia-apex-22.04.ebuild → dev-python/nvidia-apex/nvidia-apex-23.08.ebuild
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@ -12,12 +12,9 @@ PYTHON_COMPAT=( python3_{10..12} )
inherit distutils-r1
#git branch
HASH_COMMIT="${PV}-dev"
DESCRIPTION="Tools for easy mixed precision and distributed training in Pytorch"
HOMEPAGE="https://github.com/NVIDIA/apex"
SRC_URI="https://github.com/NVIDIA/apex/archive/${HASH_COMMIT}.tar.gz -> ${P}-gh.tar.gz"
SRC_URI="https://github.com/NVIDIA/apex/archive/refs/tags/${PV}.tar.gz -> ${P}-gh.tar.gz"
LICENSE="BSD"
SLOT="0"
@ -25,6 +22,9 @@ KEYWORDS="~amd64"
IUSE="cuda"
#FIXME: add --pyprof
#https://github.com/NVIDIA/PyProf
RDEPEND=">=dev-python/cxxfilt-0.2.0[${PYTHON_USEDEP}]
>=dev-python/tqdm-4.28.1[${PYTHON_USEDEP}]
>=dev-python/numpy-1.15.3[${PYTHON_USEDEP}]
@ -36,7 +36,7 @@ REQUIRED_USE="${PYTHON_REQUIRED_USE}"
RESTRICT="test"
S="${WORKDIR}/apex-${HASH_COMMIT}"
S="${WORKDIR}/apex-${PV}"
#If you wish to cross-compile for a single specific architecture,
#export TORCH_CUDA_ARCH_LIST="compute capability" before running setup.py.