commit: b9b308ff9ae9f292fb81531b4cfff1569c4a2193
Author: Alfredo Tupone <tupone <AT> gentoo <DOT> org>
AuthorDate: Sun May 26 15:16:29 2024 +0000
Commit: Alfredo Tupone <tupone <AT> gentoo <DOT> org>
CommitDate: Sun May 26 15:18:13 2024 +0000
URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=b9b308ff
sci-libs/caffe2: drop 2.1.2-r7
Signed-off-by: Alfredo Tupone <tupone <AT> gentoo.org>
sci-libs/caffe2/Manifest | 1 -
sci-libs/caffe2/caffe2-2.1.2-r7.ebuild | 283 ---------------------
sci-libs/caffe2/files/caffe2-2.1.1-cudaExtra.patch | 28 --
sci-libs/caffe2/files/caffe2-2.1.1-gentoo.patch | 188 --------------
sci-libs/caffe2/metadata.xml | 1 -
5 files changed, 501 deletions(-)
diff --git a/sci-libs/caffe2/Manifest b/sci-libs/caffe2/Manifest
index f1df96691729..d70fba8fc67b 100644
--- a/sci-libs/caffe2/Manifest
+++ b/sci-libs/caffe2/Manifest
@@ -1,3 +1,2 @@
-DIST pytorch-2.1.2.tar.gz 116316469 BLAKE2B
c5a55ee264bc3477d3556ba6376b5591117e992e56e0dd0c9ba93d12526e2727f7840f6f1e0730a38223b6492c9556840c4ebf22ffd220e97225c2abff303747
SHA512
a8961d78ad785b13c959a0612563a60e0de17a7c8bb9822ddea9a24072796354d07e81c47b6cc8761b21a6448845b088cf80e1661d9e889b0ed5474d3dc76756
DIST pytorch-2.2.2.tar.gz 116367503 BLAKE2B
0be22f2ec4b9aac6f5e976664cae01facf07929a32565cd57d7cc5b2d9888e9ae71ca301853752fe8f31d174d04c9974eb9ed2f3d452360a50ccf024f200726a
SHA512
7990e0f9484038c3458c0bda2c863bf2b19e56edab81fc5938c6e0f08b17558287f853bb67350e8cca8f42bec0f1d4ba0e94e50a145db8da44bdd4bd703d91d0
DIST pytorch-2.3.0.tar.gz 117029829 BLAKE2B
8f9c0d71ee0a9219b495eddccdcc65107f7ad537c43c68100b229f3d27b0e6c01ccb1659c7fffc356a48d80f2adc0a10361305dc8f1df20446de837d380f89f6
SHA512
67f7e9a096c3ffb952206ebf9105bedebb68c24ad82456083adf1d1d210437fcaa9dd52b68484cfc97d408c9eebc9541c76868c34a7c9982494dc3f424cfb07c
diff --git a/sci-libs/caffe2/caffe2-2.1.2-r7.ebuild
b/sci-libs/caffe2/caffe2-2.1.2-r7.ebuild
deleted file mode 100644
index 8198f516b251..000000000000
--- a/sci-libs/caffe2/caffe2-2.1.2-r7.ebuild
+++ /dev/null
@@ -1,283 +0,0 @@
-# Copyright 2022-2024 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-PYTHON_COMPAT=( python3_{10..12} )
-ROCM_VERSION=5.7
-inherit python-single-r1 cmake cuda flag-o-matic prefix rocm
-
-MYPN=pytorch
-MYP=${MYPN}-${PV}
-
-DESCRIPTION="A deep learning framework"
-HOMEPAGE="https://pytorch.org/";
-SRC_URI="https://github.com/pytorch/${MYPN}/archive/refs/tags/v${PV}.tar.gz
- -> ${MYP}.tar.gz"
-
-S="${WORKDIR}"/${MYP}
-
-LICENSE="BSD"
-SLOT="0"
-KEYWORDS="~amd64"
-IUSE="cuda distributed fbgemm ffmpeg gloo mkl mpi nnpack +numpy onednn
openblas opencl opencv openmp qnnpack rocm tensorpipe xnnpack"
-RESTRICT="test"
-REQUIRED_USE="
- ${PYTHON_REQUIRED_USE}
- ffmpeg? ( opencv )
- mpi? ( distributed )
- tensorpipe? ( distributed )
- distributed? ( tensorpipe )
- gloo? ( distributed )
- ?? ( cuda rocm )
- rocm? ( || ( ${ROCM_REQUIRED_USE} ) )
-"
-
-# CUDA 12 not supported yet: https://github.com/pytorch/pytorch/issues/91122
-RDEPEND="
- ${PYTHON_DEPS}
- dev-cpp/gflags:=
- >=dev-cpp/glog-0.5.0
- dev-libs/cpuinfo
- dev-libs/libfmt
- dev-libs/protobuf:=
- dev-libs/pthreadpool
- dev-libs/sleef
- virtual/lapack
- >=sci-libs/onnx-1.12.0
- <sci-libs/onnx-1.15.0
- sci-libs/foxi
- cuda? (
- =dev-libs/cudnn-8*
- >=dev-libs/cudnn-frontend-0.9.2:0/8
- <dev-util/nvidia-cuda-toolkit-12.4.0:=[profiler]
- )
- fbgemm? ( >=dev-libs/FBGEMM-2023.11.02 )
- ffmpeg? ( media-video/ffmpeg:= )
- gloo? ( sci-libs/gloo[cuda?] )
- mpi? ( virtual/mpi )
- nnpack? ( sci-libs/NNPACK )
- numpy? ( $(python_gen_cond_dep '
- dev-python/numpy[${PYTHON_USEDEP}]
- ') )
- onednn? ( dev-libs/oneDNN )
- opencl? ( virtual/opencl )
- opencv? ( media-libs/opencv:= )
- qnnpack? ( sci-libs/QNNPACK )
- rocm? (
- >=dev-util/hip-5.7
- >=dev-libs/rccl-5.7[${ROCM_USEDEP}]
- >=sci-libs/rocThrust-5.7[${ROCM_USEDEP}]
- >=sci-libs/rocPRIM-5.7[${ROCM_USEDEP}]
- >=sci-libs/hipBLAS-5.7[${ROCM_USEDEP}]
- >=sci-libs/hipFFT-5.7[${ROCM_USEDEP}]
- >=sci-libs/hipSPARSE-5.7[${ROCM_USEDEP}]
- >=sci-libs/hipRAND-5.7[${ROCM_USEDEP}]
- >=sci-libs/hipCUB-5.7[${ROCM_USEDEP}]
- >=sci-libs/hipSOLVER-5.7[${ROCM_USEDEP}]
- >=sci-libs/miopen-5.7[${ROCM_USEDEP}]
- >=dev-util/roctracer-5.7[${ROCM_USEDEP}]
- )
- tensorpipe? ( sci-libs/tensorpipe[cuda?] )
- xnnpack? ( >=sci-libs/XNNPACK-2022.12.22 )
- mkl? ( sci-libs/mkl )
- openblas? ( sci-libs/openblas )
-"
-DEPEND="
- ${RDEPEND}
- cuda? ( >=dev-libs/cutlass-3.1.0 )
- onednn? ( sci-libs/ideep )
- dev-libs/psimd
- dev-libs/FP16
- dev-libs/FXdiv
- dev-libs/pocketfft
- dev-libs/flatbuffers
- >=sci-libs/kineto-0.4.0_p20231031
- $(python_gen_cond_dep '
- dev-python/pyyaml[${PYTHON_USEDEP}]
- dev-python/pybind11[${PYTHON_USEDEP}]
- ')
-"
-
-PATCHES=(
- "${FILESDIR}"/${PN}-2.1.1-gentoo.patch
- "${FILESDIR}"/${PN}-1.13.0-install-dirs.patch
- "${FILESDIR}"/${PN}-1.12.0-glog-0.6.0.patch
- "${FILESDIR}"/${PN}-1.13.1-tensorpipe.patch
- "${FILESDIR}"/${PN}-2.0.0-gcc13.patch
- "${FILESDIR}"/${PN}-2.0.0-cudnn_include_fix.patch
- "${FILESDIR}"/${PN}-2.1.1-cudaExtra.patch
- "${FILESDIR}"/${PN}-2.1.2-fix-rpath.patch
- "${FILESDIR}"/${PN}-2.1.2-fix-openmp-link.patch
- "${FILESDIR}"/${PN}-2.1.2-rocm-fix-std-cpp17.patch
-)
-
-src_prepare() {
- filter-lto #bug 862672
- sed -i \
- -e "/third_party\/gloo/d" \
- cmake/Dependencies.cmake \
- || die
- cmake_src_prepare
- pushd torch/csrc/jit/serialization || die
- flatc --cpp --gen-mutable --scoped-enums mobile_bytecode.fbs || die
- popd
- # prefixify the hardcoded paths, after all patches are applied
- hprefixify \
- aten/CMakeLists.txt \
- caffe2/CMakeLists.txt \
- cmake/Metal.cmake \
- cmake/Modules/*.cmake \
- cmake/Modules_CUDA_fix/FindCUDNN.cmake \
- cmake/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake \
-
cmake/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake \
- cmake/public/LoadHIP.cmake \
- cmake/public/cuda.cmake \
- cmake/Dependencies.cmake \
- torch/CMakeLists.txt \
- CMakeLists.txt
-
- if use rocm; then
- sed -e "s:ROCM_PATH /opt/rocm:ROCM_PATH /usr:" \
- -e "s:HIP_PATH \${ROCM_PATH}/hip:HIP_PATH /usr:" \
- -e
"s:\${HIP_PATH}/cmake:/usr/$(get_libdir)/cmake/hip:g" \
- -e "s/HIP 1.0/HIP 1.0 REQUIRED/" \
- -i cmake/public/LoadHIP.cmake || die
-
- ebegin "HIPifying cuda sources"
- ${EPYTHON} tools/amd_build/build_amd.py || die
- eend $?
- fi
-}
-
-src_configure() {
- if use cuda && [[ -z ${TORCH_CUDA_ARCH_LIST} ]]; then
- ewarn "WARNING: caffe2 is being built with its default CUDA
compute capabilities: 3.5 and 7.0."
- ewarn "These may not be optimal for your GPU."
- ewarn ""
- ewarn "To configure caffe2 with the CUDA compute capability
that is optimal for your GPU,"
- ewarn "set TORCH_CUDA_ARCH_LIST in your make.conf, and
re-emerge caffe2."
- ewarn "For example, to use CUDA capability 7.5 & 3.5, add:
TORCH_CUDA_ARCH_LIST=7.5 3.5"
- ewarn "For a Maxwell model GPU, an example value would be:
TORCH_CUDA_ARCH_LIST=Maxwell"
- ewarn ""
- ewarn "You can look up your GPU's CUDA compute capability at
https://developer.nvidia.com/cuda-gpus";
- ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery |
grep 'CUDA Capability'"
- fi
-
- local mycmakeargs=(
- -DBUILD_CUSTOM_PROTOBUF=OFF
- -DBUILD_SHARED_LIBS=ON
-
- -DUSE_CCACHE=OFF
- -DUSE_CUDA=$(usex cuda)
- -DUSE_DISTRIBUTED=$(usex distributed)
- -DUSE_MPI=$(usex mpi)
- -DUSE_FAKELOWP=OFF
- -DUSE_FBGEMM=$(usex fbgemm)
- -DUSE_FFMPEG=$(usex ffmpeg)
- -DUSE_GFLAGS=ON
- -DUSE_GLOG=ON
- -DUSE_GLOO=$(usex gloo)
- -DUSE_KINETO=OFF # TODO
- -DUSE_LEVELDB=OFF
- -DUSE_MAGMA=OFF # TODO: In GURU as sci-libs/magma
- -DUSE_MKLDNN=$(usex onednn)
- -DUSE_NNPACK=$(usex nnpack)
- -DUSE_QNNPACK=$(usex qnnpack)
- -DUSE_XNNPACK=$(usex xnnpack)
- -DUSE_SYSTEM_XNNPACK=$(usex xnnpack)
- -DUSE_TENSORPIPE=$(usex tensorpipe)
- -DUSE_PYTORCH_QNNPACK=OFF
- -DUSE_NUMPY=$(usex numpy)
- -DUSE_OPENCL=$(usex opencl)
- -DUSE_OPENCV=$(usex opencv)
- -DUSE_OPENMP=$(usex openmp)
- -DUSE_ROCM=$(usex rocm)
- -DUSE_SYSTEM_CPUINFO=ON
- -DUSE_SYSTEM_PYBIND11=ON
- -DUSE_UCC=OFF
- -DUSE_VALGRIND=OFF
- -DPYBIND11_PYTHON_VERSION="${EPYTHON#python}"
- -DPYTHON_EXECUTABLE="${PYTHON}"
- -DUSE_ITT=OFF
- -DUSE_SYSTEM_PTHREADPOOL=ON
- -DUSE_SYSTEM_FXDIV=ON
- -DUSE_SYSTEM_FP16=ON
- -DUSE_SYSTEM_GLOO=ON
- -DUSE_SYSTEM_ONNX=ON
- -DUSE_SYSTEM_SLEEF=ON
- -DUSE_METAL=OFF
-
- -Wno-dev
- -DTORCH_INSTALL_LIB_DIR="${EPREFIX}"/usr/$(get_libdir)
- -DLIBSHM_INSTALL_LIB_SUBDIR="${EPREFIX}"/usr/$(get_libdir)
- )
-
- if use mkl; then
- mycmakeargs+=(-DBLAS=MKL)
- elif use openblas; then
- mycmakeargs+=(-DBLAS=OpenBLAS)
- else
- mycmakeargs+=(-DBLAS=Generic -DBLAS_LIBRARIES=)
- fi
-
- if use cuda; then
- addpredict "/dev/nvidiactl" # bug 867706
- addpredict "/dev/char"
-
- mycmakeargs+=(
- -DUSE_CUDNN=ON
- -DTORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5
7.0}"
- -DBUILD_NVFUSER=ON
- -DUSE_NCCL=OFF # TODO: NVIDIA Collective Communication
Library
- -DCMAKE_CUDA_FLAGS="$(cuda_gccdir -f | tr -d \")"
- )
- elif use rocm; then
- export PYTORCH_ROCM_ARCH="$(get_amdgpu_flags)"
-
- mycmakeargs+=(
- -DBUILD_NVFUSER=ON
- -DUSE_NCCL=ON
- -DUSE_SYSTEM_NCCL=ON
- )
- fi
-
- if use onednn; then
- mycmakeargs+=(
- -DUSE_MKLDNN=ON
- -DMKLDNN_FOUND=ON
- -DMKLDNN_LIBRARIES=dnnl
-
-DMKLDNN_INCLUDE_DIR="${ESYSROOT}/usr/include/oneapi/dnnl"
- )
- fi
-
- cmake_src_configure
-
- # do not rerun cmake and the build process in src_install
- sed '/RERUN/,+1d' -i "${BUILD_DIR}"/build.ninja || die
-}
-
-src_install() {
- cmake_src_install
-
- insinto "/var/lib/${PN}"
- doins "${BUILD_DIR}"/CMakeCache.txt
-
- rm -rf python
- mkdir -p python/torch/include || die
- mv "${ED}"/usr/lib/python*/site-packages/caffe2 python/ || die
- if use cuda || use rocm; then
- mv "${ED}${S}"/nvfuser python/nvfuser || die
- mv "${ED}"/usr/$(get_libdir)/nvfuser.so python/nvfuser/_C.so ||
die
- fi
- cp torch/version.py python/torch/ || die
- python_domodule python/caffe2
- python_domodule python/torch
- ln -s ../../../../../include/torch \
- "${D}$(python_get_sitedir)"/torch/include/torch || die # bug
923269
- if use cuda || use rocm; then
- python_domodule python/nvfuser
- fi
- rm -rf "${ED}${WORKDIR}"
- find "${ED}" -empty -delete
-}
diff --git a/sci-libs/caffe2/files/caffe2-2.1.1-cudaExtra.patch
b/sci-libs/caffe2/files/caffe2-2.1.1-cudaExtra.patch
deleted file mode 100644
index f12623f2068a..000000000000
--- a/sci-libs/caffe2/files/caffe2-2.1.1-cudaExtra.patch
+++ /dev/null
@@ -1,28 +0,0 @@
---- a/third_party/nvfuser/CMakeLists.txt 2023-11-30 21:42:07.336946970
+0100
-+++ b/third_party/nvfuser/CMakeLists.txt 2023-11-30 21:46:35.101749250
+0100
-@@ -18,7 +18,7 @@
- set(NVFUSER_ROOT ${PROJECT_SOURCE_DIR})
- set(NVFUSER_SRCS_DIR "${NVFUSER_ROOT}/csrc")
- set(TORCH_ROOT "${CMAKE_CURRENT_SOURCE_DIR}/../..")
--set(TORCH_INSTALL_LIB_DIR ${TORCH_ROOT}/torch/lib)
-+set(TORCH_INSTALL_LIB_DIR ${CMAKE_INSTALL_LIBDIR})
-
- # --- build nvfuser_codegen library
-
-@@ -218,7 +218,7 @@
- message(STATUS "somehow this is happening")
- set_target_properties(${NVFUSER} PROPERTIES LINK_FLAGS
${TORCH_PYTHON_LINK_FLAGS})
- endif()
-- install(TARGETS ${NVFUSER} EXPORT NvfuserTargets DESTINATION
${TORCH_ROOT}/nvfuser/)
-+ install(TARGETS ${NVFUSER} EXPORT NvfuserTargets DESTINATION
"${TORCH_INSTALL_LIB_DIR}")
-
- # install nvfuser python files
- install(DIRECTORY "${NVFUSER_ROOT}/python/"
---- a/functorch/CMakeLists.txt 2023-11-30 20:30:45.805209036 +0100
-+++ b/functorch/CMakeLists.txt 2023-11-30 20:31:13.284766157 +0100
-@@ -35,4 +35,4 @@
- if(NOT ${TORCH_PYTHON_LINK_FLAGS} STREQUAL "")
- set_target_properties(${PROJECT_NAME} PROPERTIES LINK_FLAGS
${TORCH_PYTHON_LINK_FLAGS})
- endif()
--install(TARGETS ${PROJECT_NAME} DESTINATION "${CMAKE_CURRENT_SOURCE_DIR}")
-+install(TARGETS ${PROJECT_NAME} DESTINATION "${CMAKE_INSTALL_LIBDIR}")
diff --git a/sci-libs/caffe2/files/caffe2-2.1.1-gentoo.patch
b/sci-libs/caffe2/files/caffe2-2.1.1-gentoo.patch
deleted file mode 100644
index 056ac9afe5b3..000000000000
--- a/sci-libs/caffe2/files/caffe2-2.1.1-gentoo.patch
+++ /dev/null
@@ -1,188 +0,0 @@
---- a/cmake/Dependencies.cmake
-+++ b/cmake/Dependencies.cmake
-@@ -487,7 +487,7 @@ endif()
- list(APPEND Caffe2_DEPENDENCY_LIBS cpuinfo)
-
- # ---[ QNNPACK
--if(USE_QNNPACK)
-+if(FALSE)
- set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
-
- if(NOT DEFINED QNNPACK_SOURCE_DIR)
-@@ -543,7 +543,7 @@ if(USE_QNNPACK)
- endif()
-
- # ---[ Caffe2 Int8 operators (enabled by USE_QNNPACK) depend on gemmlowp and
neon2sse headers
--if(USE_QNNPACK)
-+if(FALSE)
- set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
- include_directories(SYSTEM "${CAFFE2_THIRD_PARTY_ROOT}/gemmlowp")
- include_directories(SYSTEM "${CAFFE2_THIRD_PARTY_ROOT}/neon2sse")
-@@ -803,7 +803,7 @@
- endif()
-
- # ---[ FBGEMM
--if(USE_FBGEMM)
-+if(FALSE)
- set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
- if(NOT DEFINED FBGEMM_SOURCE_DIR)
- set(FBGEMM_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/fbgemm" CACHE STRING
"FBGEMM source directory")
-@@ -848,6 +848,7 @@
- endif()
-
- if(USE_FBGEMM)
-+ list(APPEND Caffe2_DEPENDENCY_LIBS fbgemm)
- caffe2_update_option(USE_FBGEMM ON)
- else()
- caffe2_update_option(USE_FBGEMM OFF)
-@@ -1552,7 +1553,6 @@
- set_target_properties(onnx_proto PROPERTIES CXX_STANDARD 17)
- endif()
- endif()
-- add_subdirectory(${CMAKE_CURRENT_LIST_DIR}/../third_party/foxi
EXCLUDE_FROM_ALL)
-
- add_definitions(-DONNX_NAMESPACE=${ONNX_NAMESPACE})
- if(NOT USE_SYSTEM_ONNX)
-@@ -1831,7 +1831,6 @@
- #
- set(TEMP_BUILD_SHARED_LIBS ${BUILD_SHARED_LIBS})
- set(BUILD_SHARED_LIBS OFF CACHE BOOL "Build shared libs" FORCE)
--add_subdirectory(${PROJECT_SOURCE_DIR}/third_party/fmt)
-
- # Disable compiler feature checks for `fmt`.
- #
-@@ -1840,9 +1839,7 @@
- # CMAKE_CXX_FLAGS in ways that break feature checks. Since we already know
- # `fmt` is compatible with a superset of the compilers that PyTorch is, it
- # shouldn't be too bad to just disable the checks.
--set_target_properties(fmt-header-only PROPERTIES INTERFACE_COMPILE_FEATURES
"")
-
--list(APPEND Caffe2_DEPENDENCY_LIBS fmt::fmt-header-only)
- set(BUILD_SHARED_LIBS ${TEMP_BUILD_SHARED_LIBS} CACHE BOOL "Build shared
libs" FORCE)
-
- # ---[ Kineto
---- a/c10/CMakeLists.txt
-+++ b/c10/CMakeLists.txt
-@@ -87,7 +87,7 @@
- if(${USE_GLOG})
- target_link_libraries(c10 PUBLIC glog::glog)
- endif()
--target_link_libraries(c10 PRIVATE fmt::fmt-header-only)
-+target_link_libraries(c10 PRIVATE fmt)
-
- find_package(Backtrace)
- if(Backtrace_FOUND)
---- a/torch/CMakeLists.txt
-+++ b/torch/CMakeLists.txt
-@@ -63,15 +63,9 @@
- ${CMAKE_BINARY_DIR}
- ${CMAKE_BINARY_DIR}/aten/src
- ${CMAKE_BINARY_DIR}/caffe2/aten/src
-- ${CMAKE_BINARY_DIR}/third_party
-- ${CMAKE_BINARY_DIR}/third_party/onnx
-
-- ${TORCH_ROOT}/third_party/valgrind-headers
-
-- ${TORCH_ROOT}/third_party/gloo
-- ${TORCH_ROOT}/third_party/onnx
-- ${TORCH_ROOT}/third_party/flatbuffers/include
-- ${TORCH_ROOT}/third_party/kineto/libkineto/include
-+ /usr/include/kineto
-
- ${TORCH_SRC_DIR}/csrc
- ${TORCH_SRC_DIR}/csrc/api/include
-@@ -84,7 +78,6 @@
- python::python
- pybind::pybind11
- shm
-- fmt::fmt-header-only
- ATEN_CPU_FILES_GEN_LIB)
-
- if(USE_ASAN AND TARGET Sanitizer::address)
---- a/CMakeLists.txt
-+++ b/CMakeLists.txt
-@@ -812,12 +812,11 @@
-
- # ---[ Build flags
- if(NOT MSVC)
-- string(APPEND CMAKE_CXX_FLAGS " -O2 -fPIC")
-+ string(APPEND CMAKE_CXX_FLAGS " -fPIC")
- # Eigen fails to build with some versions, so convert this to a warning
- # Details at http://eigen.tuxfamily.org/bz/show_bug.cgi?id=1459
- string(APPEND CMAKE_CXX_FLAGS " -Wall")
- string(APPEND CMAKE_CXX_FLAGS " -Wextra")
-- append_cxx_flag_if_supported("-Werror=return-type" CMAKE_CXX_FLAGS)
- append_cxx_flag_if_supported("-Werror=non-virtual-dtor" CMAKE_CXX_FLAGS)
- append_cxx_flag_if_supported("-Werror=braced-scalar-init" CMAKE_CXX_FLAGS)
- append_cxx_flag_if_supported("-Werror=range-loop-construct" CMAKE_CXX_FLAGS)
-@@ -917,8 +916,6 @@
- string(APPEND CMAKE_LINKER_FLAGS_DEBUG " -fno-omit-frame-pointer -O0")
- append_cxx_flag_if_supported("-fno-math-errno" CMAKE_CXX_FLAGS)
- append_cxx_flag_if_supported("-fno-trapping-math" CMAKE_CXX_FLAGS)
-- append_cxx_flag_if_supported("-Werror=format" CMAKE_CXX_FLAGS)
-- append_cxx_flag_if_supported("-Werror=cast-function-type" CMAKE_CXX_FLAGS)
- else()
- # skip unwanted includes from windows.h
- add_compile_definitions(WIN32_LEAN_AND_MEAN)
---- a/cmake/public/utils.cmake
-+++ b/cmake/public/utils.cmake
-@@ -492,8 +492,6 @@
- endif()
-
- # Use -O2 for release builds (-O3 doesn't improve perf, and -Os results in
perf regression)
-- target_compile_options(${libname} PRIVATE
--
$<$<AND:$<COMPILE_LANGUAGE:CXX>,$<OR:$<CONFIG:Release>,$<CONFIG:RelWithDebInfo>>>:-O2>)
-
- endfunction()
-
---- a/cmake/Codegen.cmake
-+++ b/cmake/Codegen.cmake
-@@ -57,7 +57,7 @@
- if(MSVC)
- set(OPT_FLAG "/fp:strict ")
- else(MSVC)
-- set(OPT_FLAG "-O3 ")
-+ set(OPT_FLAG " ")
- if("${CMAKE_BUILD_TYPE}" MATCHES "Debug")
- set(OPT_FLAG " ")
- endif()
---- a/caffe2/CMakeLists.txt
-+++ b/caffe2/CMakeLists.txt
-@@ -107,7 +107,7 @@
- # Note: the folders that are being commented out have not been properly
- # addressed yet.
-
--if(NOT MSVC AND USE_XNNPACK)
-+if(FALSE)
- if(NOT TARGET fxdiv)
- set(FXDIV_BUILD_TESTS OFF CACHE BOOL "")
- set(FXDIV_BUILD_BENCHMARKS OFF CACHE BOOL "")
-@@ -1023,7 +1025,6 @@
- endif()
-
- if(NOT MSVC AND USE_XNNPACK)
-- TARGET_LINK_LIBRARIES(torch_cpu PRIVATE fxdiv)
- endif()
-
- # ==========================================================
-@@ -1143,8 +1146,7 @@
- target_include_directories(torch_cpu PRIVATE
- ${TORCH_ROOT}/third_party/miniz-2.1.0)
-
--target_include_directories(torch_cpu PRIVATE
-- ${TORCH_ROOT}/third_party/kineto/libkineto/include)
-+target_include_directories(torch_cpu PRIVATE /usr/include/kineto)
-
- if(USE_KINETO)
- target_include_directories(torch_cpu PRIVATE
---- a/cmake/External/nnpack.cmake
-+++ b/cmake/External/nnpack.cmake
-@@ -58,7 +58,7 @@
- set(PTHREADPOOL_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/pthreadpool" CACHE
STRING "pthreadpool source directory")
- set(GOOGLETEST_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/googletest" CACHE
STRING "Google Test source directory")
-
-- if(NOT TARGET nnpack)
-+ if(FALSE)
- if(NOT USE_SYSTEM_PTHREADPOOL AND USE_INTERNAL_PTHREADPOOL_IMPL)
- set(NNPACK_CUSTOM_THREADPOOL ON CACHE BOOL "")
- endif()
diff --git a/sci-libs/caffe2/metadata.xml b/sci-libs/caffe2/metadata.xml
index 43aee37ffc47..e99253402e7a 100644
--- a/sci-libs/caffe2/metadata.xml
+++ b/sci-libs/caffe2/metadata.xml
@@ -20,7 +20,6 @@
<flag name="openmp">Use OpenMP for parallel code</flag>
<flag name="qnnpack">Use QNNPACK</flag>
<flag name="rocm">Enable ROCm gpu computing support</flag>
- <flag name="tensorpipe">Use tensorpipe</flag>
<flag name="xnnpack">Use XNNPACK</flag>
</use>
<upstream>
