dev-libs/cutlass: drop 3.5.1, 3.9.1

Signed-off-by: Alfredo Tupone <tupone@gentoo.org>

dev-libs/cutlass/Manifest

@@ -1,5 +1,3 @@
 DIST cutlass-3.4.1.tar.gz 23351905 BLAKE2B 6524d70a4f65fc28c7150aa44bfbb5cc64c1b5e885e645d0e58d96dd1c03565c564e8f55f6f0275f2c607d7877e9380e90e424da3eaf44cc6e8997271c5d519d SHA512 c2ff60af28de951cf4420b163ba2dfc46d30c98fe9e6e765cd1e0be89bf9292e057542ec7061c043c42225b74d970f95f675d366db64105a5c103bb165183ab5
-DIST cutlass-3.5.1.tar.gz 29257911 BLAKE2B 680a67beabf821873655ea8145a84a0a6084b5d9dbd03bdc1b49a7964bcd4e7e5e3b213fea46d09583715e8862795455cbc47e5dac4e5bba546b7aeaf31881ce SHA512 f9bc493a80e959b21d3adbe85987d375c052f6095be9e13b871f890a6ead093bfb68712eae206fd8fc3f0a2ac06d96760ffec7939869b0e12c4c37788184cc21
 DIST cutlass-3.8.0.tar.gz 31021072 BLAKE2B 4dd85f7c0d3452c2a194902fcd0afd7de3a3f17f86f477628d5e5f416ac885a86ed1fbbf2a9959a46e60e38a93400a7ec99bad1f980b0a4be36fad0de887ec0b SHA512 a08aac281fb3bdea82c0a044dc643c40e4803d02e55bbea450021cb7a5472aed86e79c5df41cd981976af8403f18cc48d8069045c4e68339430d3a3caeb109ac
-DIST cutlass-3.9.1.tar.gz 31532887 BLAKE2B bdfddc707ee5c1303bebcefa89cc956271f140d6c2b1e928d2e4510def272cedcbc37b884a62ca371f967638f335d5e9fc63adecc862bf75861128cdffd57053 SHA512 1507b9b0a7caf055c7d6e3d4c6a4012ff46daf7a9ccc0ac6dda6ba85ae226f692489854ad74c909b946c9a111c280d0d05efc548dbd5d9497b928caaf46f3611
 DIST cutlass-3.9.2.tar.gz 31534258 BLAKE2B 04462b3c6983f96b2027821408c4de30bf6b2e18e986ddebaf4f9d5572df354273116603ccc0ac618c61e03b981972e6d7786f354aa4f5e08d185cf7e4ad8e1d SHA512 d45a9e4908b5886259acc1ffd4c8e4c6072801ad45909f365d599510b9989d3313438f2fa5cbee5c1e916e496a0b95bda85f79de3c38502d73e2b9206f868822

dev-libs/cutlass/cutlass-3.5.1.ebuild

@@ -1,39 +0,0 @@
-# Copyright 2023-2024 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-inherit cuda cmake
-
-DESCRIPTION="CUDA Templates for Linear Algebra Subroutines"
-HOMEPAGE="https://github.com/NVIDIA/cutlass"
-SRC_URI="https://github.com/NVIDIA/${PN}/archive/refs/tags/v${PV}.tar.gz
-	-> ${P}.tar.gz"
-
-LICENSE="BSD"
-SLOT="0"
-KEYWORDS="~amd64"
-
-BDEPEND="dev-util/nvidia-cuda-toolkit"
-
-src_prepare() {
-	cmake_src_prepare
-	cuda_src_prepare
-}
-
-src_configure() {
-	mycmakeargs+=(
-		-DCMAKE_CUDA_FLAGS="$(cuda_gccdir -f | tr -d \")"
-		-DCUTLASS_ENABLE_HEADERS_ONLY=yes
-		-DCUTLASS_ENABLE_TESTS=no
-	)
-	cuda_add_sandbox -w
-	addpredict /dev/char
-	addpredict /proc/self/task
-	cmake_src_configure
-}
-
-src_install() {
-	cmake_src_install
-	rm -r "${ED}"/usr/test || die
-}

dev-libs/cutlass/cutlass-3.9.1.ebuild

@@ -1,145 +0,0 @@
-# Copyright 2023-2025 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-PYTHON_COMPAT=( python3_{11..13} )
-
-inherit cuda cmake python-any-r1 flag-o-matic toolchain-funcs
-
-DESCRIPTION="CUDA Templates for Linear Algebra Subroutines"
-HOMEPAGE="https://github.com/NVIDIA/cutlass"
-SRC_URI="https://github.com/NVIDIA/${PN}/archive/refs/tags/v${PV}.tar.gz
-	-> ${P}.tar.gz"
-
-LICENSE="BSD"
-SLOT="0"
-KEYWORDS="~amd64"
-
-X86_CPU_FEATURES=(
-	f16c:f16c
-)
-CPU_FEATURES=( "${X86_CPU_FEATURES[@]/#/cpu_flags_x86_}" )
-
-IUSE="clang-cuda cublas cudnn doc dot examples +headers-only jumbo-build performance profiler test tools ${CPU_FEATURES[*]%:*}"
-
-REQUIRED_USE="
-	headers-only? (
-		!examples !test
-	)
-"
-
-RESTRICT="!test? ( test )"
-
-RDEPEND="
-	dev-util/nvidia-cuda-toolkit:=
-"
-DEPEND="${RDEPEND}
-	test? (
-		${PYTHON_DEPS}
-		cudnn? (
-			dev-libs/cudnn:=
-		)
-	)
-	tools? (
-		${PYTHON_DEPS}
-	)
-"
-
-pkg_setup() {
-	if use test || use tools; then
-		python-any-r1_pkg_setup
-	fi
-}
-
-src_prepare() {
-	cmake_src_prepare
-
-	sed \
-		-e '/-std=/s/17/20/g' \
-		-i \
-			CMakeLists.txt \
-			python/cutlass/backend/compiler.py \
-			python/cutlass/emit/pytorch.py \
-			python/docs/_modules/cutlass/emit/pytorch.html \
-			test/unit/nvrtc/thread/nvrtc_contraction.cu \
-			test/unit/nvrtc/thread/testbed.h \
-			media/docs/cpp/ide_setup.md \
-		|| die
-
-}
-
-src_configure() {
-	# we can use clang as default
-	if use clang-cuda && ! tc-is-clang ; then
-		export CC="${CHOST}-clang"
-		export CXX="${CHOST}-clang++"
-	else
-		tc-export CXX CC
-	fi
-
-	# clang-cuda needs to filter mfpmath
-	if use clang-cuda ; then
-		filter-mfpmath sse
-		filter-mfpmath i386
-	fi
-	if use clang-cuda ; then
-		export CUDACXX=clang++
-	fi
-
-	cuda_add_sandbox
-	addpredict "/dev/char/"
-
-	local mycmakeargs=(
-		-DCMAKE_POLICY_DEFAULT_CMP0156="OLD" # cutlass_add_library
-
-		# -DCMAKE_CUDA_COMPILER="$(cuda_get_host_compiler)" # nvcc/clang++
-		-DCMAKE_CUDA_FLAGS="$(cuda_gccdir -f)"
-
-		-DCMAKE_DISABLE_FIND_PACKAGE_Doxygen="$(usex !doc)"
-
-		-DCUTLASS_REVISION="${PVR}"
-		-DCUTLASS_ENABLE_CUBLAS="$(usex cublas)"
-		-DCUTLASS_ENABLE_CUDNN="$(usex cudnn)"
-		-DCUTLASS_ENABLE_EXAMPLES="$(usex examples)"
-		-DCUTLASS_ENABLE_F16C="$(usex cpu_flags_x86_f16c)"
-		-DCUTLASS_ENABLE_GTEST_UNIT_TESTS="$(usex test)"
-		-DCUTLASS_ENABLE_HEADERS_ONLY="$(usex headers-only)"
-		-DCUTLASS_ENABLE_LIBRARY="$(usex !headers-only)"
-		-DCUTLASS_ENABLE_PERFORMANCE="$(usex performance)"
-		-DCUTLASS_ENABLE_PROFILER="$(usex profiler)"
-		-DCUTLASS_ENABLE_PROFILER_UNIT_TESTS="$(usex test "$(usex profiler)")"
-		-DCUTLASS_ENABLE_TESTS="$(usex test)"
-		-DCUTLASS_ENABLE_TOOLS="$(usex tools)"
-		-DCUTLASS_INSTALL_TESTS="no"
-		-DCUTLASS_NVCC_ARCHS="${CUDAARCHS}"
-		-DCUTLASS_UNITY_BUILD_ENABLED="$(usex jumbo-build)"
-		-DCUTLASS_USE_SYSTEM_GOOGLETEST="yes"
-		-DIMPLICIT_CMAKE_CXX_STANDARD="yes"
-	)
-
-	if use doc; then
-		mycmakeargs+=(
-			# Use dot to generate graphs in the doxygen documentation.
-			-DCUTLASS_ENABLE_DOXYGEN_DOT="$(usex dot)"
-		)
-	fi
-
-	if use test; then
-		mycmakeargs+=(
-			-DCUTLASS_TEST_LEVEL="2"
-		)
-	fi
-
-	cmake_src_configure
-}
-
-src_test() {
-	cuda_add_sandbox -w
-	cmake_src_test
-}
-
-src_install() {
-	cmake_src_install
-	rm -r "${ED}"/usr/test || die
-}