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Package Details: cutlass 3.4.0-1

Package Actions

Git Clone URL:	https://aur.archlinux.org/cutlass.git (read-only, click to copy)
Package Base:	cutlass
Description:	CUDA Templates for Linear Algebra Subroutines
Upstream URL:	https://github.com/NVIDIA/cutlass
Keywords:	ai gemm nvidia
Licenses:	BSD-3-Clause
Submitter:	daskol
Maintainer:	daskol
Last Packager:	daskol
Votes:	0
Popularity:	0.000000
First Submitted:	2023-06-20 22:59 (UTC)
Last Updated:	2024-04-18 11:51 (UTC)

Dependencies (10)

cuda (cuda11.1^AUR)
cudnn
cmake (cmake-git^AUR) (make)
git (git-git^AUR) (make)
ninja (ninja-kitware^AUR, ninja-mem^AUR, ninja-fuchsia-git^AUR, ninja-git^AUR) (make)
pybind11 (pybind11-git^AUR) (make)
python-build (make)
python-installer (python-installer-git^AUR) (make)
python-setuptools (make)
python-wheel (make)

Required by (1)

python-flash-attention (make)

Sources (2)

Latest Comments

lahwaacz commented on 2023-11-30 16:51 (UTC)

Now pybind11 is missing in makedepends... Also please don't add the nvidia group - there is already an nvidia package in the official repositories, which exists in the same "namespace" as package groups.

lahwaacz commented on 2023-11-30 08:51 (UTC)

Also python-setuptools is missing in makedepends.

lahwaacz commented on 2023-11-30 08:43 (UTC)

The hardcoded -j 48 flag is not nice. You might add ninja to makedepends, -G Ninja to the configure command and remove -j 48 from the build command. Ninja uses all available cores by default.

The build directory can be simply build rather than $pkgname-$pkgver/build.

Also the prefix should not be $pkgdir/usr, the right way to do this is with -DCMAKE_INSTALL_PREFIX=/usr at configure step and DESTDIR="$pkgdir" cmake --install <build_directory> as the install command.