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CMakeLists.txt
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cmake_minimum_required(VERSION 3.18 FATAL_ERROR)
# cmake_policy(SET CMP0022 NEW) cmake_policy(SET CMP0023 NEW)
# Use compiler ID "AppleClang" instead of "Clang" for XCode. Not setting this
# sometimes makes XCode C compiler gets detected as "Clang", even when the C++
# one is detected as "AppleClang".
cmake_policy(SET CMP0010 NEW)
cmake_policy(SET CMP0025 NEW)
# Enables CMake to set LTO on compilers other than Intel.
cmake_policy(SET CMP0069 NEW)
# Enable the policy for CMake subprojects. protobuf currently causes issues
# set(CMAKE_POLICY_DEFAULT_CMP0069 NEW)
# Suppress warning flags in default MSVC configuration. It's not mandatory that
# we do this (and we don't if cmake is old), but it's nice when it's possible,
# and it's possible on our Windows configs.
cmake_policy(SET CMP0092 NEW)
# Prohibit in-source builds
if(${CMAKE_SOURCE_DIR} STREQUAL ${CMAKE_BINARY_DIR})
message(FATAL_ERROR "In-source build are not supported")
endif()
# ---[ Project and semantic versioning.
project(Torch CXX C)
if(${CMAKE_SYSTEM_NAME} STREQUAL "Linux")
set(LINUX TRUE)
else()
set(LINUX FALSE)
endif()
set(CMAKE_INSTALL_MESSAGE NEVER)
# check and set CMAKE_CXX_STANDARD
string(FIND "${CMAKE_CXX_FLAGS}" "-std=c++" env_cxx_standard)
if(env_cxx_standard GREATER -1)
message(
WARNING
"C++ standard version definition detected in environment variable."
"PyTorch requires -std=c++17. Please remove -std=c++ settings in your environment."
)
endif()
set(CMAKE_CXX_STANDARD
17
CACHE STRING
"The C++ standard whose features are requested to build this target.")
set(CMAKE_C_STANDARD
11
CACHE STRING
"The C standard whose features are requested to build this target.")
# ---[ Utils
include(cmake/public/utils.cmake)
# --- [ Check that minimal gcc version is 9.3+
if(CMAKE_COMPILER_IS_GNUCXX AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9.3)
message(
FATAL_ERROR
"GCC-9.3 or newer is required to compile PyTorch, but found ${CMAKE_CXX_COMPILER_VERSION}"
)
endif()
# This define is needed to preserve behavior given anticpated changes to
# cccl/thrust
# https://nvidia.github.io/libcudacxx/standard_api/numerics_library/complex.html
string(APPEND CMAKE_CUDA_FLAGS
" -DLIBCUDACXX_ENABLE_SIMPLIFIED_COMPLEX_OPERATIONS")
if(LINUX)
include(cmake/CheckAbi.cmake)
string(APPEND CMAKE_CXX_FLAGS
" -D_GLIBCXX_USE_CXX11_ABI=${GLIBCXX_USE_CXX11_ABI}")
string(APPEND CMAKE_CUDA_FLAGS
" -D_GLIBCXX_USE_CXX11_ABI=${GLIBCXX_USE_CXX11_ABI}")
if(${GLIBCXX_USE_CXX11_ABI} EQUAL 1)
set(CXX_STANDARD_REQUIRED ON)
else()
# Please note this is required in order to ensure compatibility between gcc
# 9 and gcc 7 This could be removed when all Linux PyTorch binary builds are
# compiled by the same toolchain again
append_cxx_flag_if_supported("-fabi-version=11" CMAKE_CXX_FLAGS)
endif()
endif()
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
set(CMAKE_LINK_WHAT_YOU_USE TRUE)
# One variable that determines whether the current cmake process is being run
# with the main Caffe2 library. This is useful for building modules - if modules
# are built with the main Caffe2 library then one does not need to do find
# caffe2 in the cmake script. One can usually guard it in some way like if(NOT
# CAFFE2_CMAKE_BUILDING_WITH_MAIN_REPO) find_package(Caffe2 REQUIRED) endif()
set(CAFFE2_CMAKE_BUILDING_WITH_MAIN_REPO ON)
# Googletest's cmake files are going to set it on once they are processed. Let's
# set it at the very beginning so that the entire build is deterministic.
set(THREADS_PREFER_PTHREAD_FLAG ON)
if(NOT DEFINED BLAS_SET_BY_USER)
if(DEFINED BLAS)
set(BLAS_SET_BY_USER TRUE)
else()
message(STATUS "Not forcing any particular BLAS to be found")
set(BLAS_SET_BY_USER FALSE)
endif()
set(BLAS_SET_BY_USER
${BLAS_SET_BY_USER}
CACHE STRING
"Marks whether BLAS was manually set by user or auto-detected")
endif()
# Apple specific
if(APPLE)
# These lines are an attempt to make find_package(cuda) pick up libcuda.dylib,
# and not cuda.framework. It doesn't work all the time, but it seems to help
# for some users. TODO: replace this with a more robust fix
set(CMAKE_FIND_FRAMEWORK LAST)
set(CMAKE_FIND_APPBUNDLE LAST)
# Get clang version on macOS
execute_process(COMMAND ${CMAKE_CXX_COMPILER} --version
OUTPUT_VARIABLE clang_full_version_string)
string(REGEX REPLACE "Apple (.*) version ([0-9]+\\.[0-9]+).*" "\\2"
CLANG_VERSION_STRING ${clang_full_version_string})
message(STATUS "CLANG_VERSION_STRING: " ${CLANG_VERSION_STRING})
# RPATH stuff
set(CMAKE_MACOSX_RPATH ON)
if(NOT IOS)
# Determine if we can link against MPSGraph
set(MPS_FOUND OFF)
execute_process(
COMMAND bash -c "xcrun --sdk macosx --show-sdk-version"
RESULT_VARIABLE _exit_code
OUTPUT_VARIABLE _macosx_sdk_version
OUTPUT_STRIP_TRAILING_WHITESPACE)
if(_exit_code EQUAL 0)
set(_MPS_supported_os_version OFF)
if(_macosx_sdk_version VERSION_GREATER_EQUAL 12.3)
set(_MPS_supported_os_version ON)
endif()
message(
STATUS
"sdk version: ${_macosx_sdk_version}, mps supported: ${_MPS_supported_os_version}"
)
execute_process(
COMMAND bash -c "xcrun --sdk macosx --show-sdk-path"
OUTPUT_VARIABLE _macosx_sdk_path
OUTPUT_STRIP_TRAILING_WHITESPACE)
set(_SDK_SEARCH_PATH "${_macosx_sdk_path}/System/Library/Frameworks/")
set(_FRAMEWORK_SEARCH_PATH "/System/Library/Frameworks/")
find_library(
_MPS_fwrk_path_
NAMES MetalPerformanceShadersGraph MetalPerformanceShaders
PATHS ${_FRAMEWORK_SEARCH_PATH}
NO_DEFAULT_PATH)
find_library(
_MPS_sdk_path_
NAMES MetalPerformanceShadersGraph MetalPerformanceShaders
PATHS ${_SDK_SEARCH_PATH}
NO_DEFAULT_PATH)
if(_MPS_supported_os_version
AND _MPS_fwrk_path_
AND _MPS_sdk_path_)
set(MPS_FOUND ON)
message(STATUS "MPSGraph framework found")
else()
message(STATUS "MPSGraph framework not found")
endif()
else()
message(STATUS "MPS: unable to get MacOS sdk version")
message(STATUS "MPSGraph framework not found")
endif()
endif()
endif()
set(CPU_AARCH64 OFF)
set(CPU_INTEL OFF)
if(CMAKE_SYSTEM_PROCESSOR MATCHES "(AMD64|x86_64)")
set(CPU_INTEL ON)
elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "^(aarch64|arm64)")
set(CPU_AARCH64 ON)
endif()
# For non-supported platforms, turn USE_DISTRIBUTED off by default. It is not
# tested and likely won't work without additional changes.
if(NOT LINUX AND NOT WIN32)
set(USE_DISTRIBUTED
OFF
CACHE STRING "Use distributed")
# On macOS, if USE_DISTRIBUTED is enabled (specified by the user), then make
# Gloo build with the libuv transport.
if(APPLE AND USE_DISTRIBUTED)
set(USE_LIBUV
ON
CACHE STRING "")
endif()
endif()
# ---[ Options. Note to developers: if you add an option below, make sure you
# also add it to cmake/Summary.cmake so that the summary prints out the option
# values.
include(CMakeDependentOption)
option(ATEN_NO_TEST "Do not build ATen test binaries" OFF)
option(BUILD_BINARY "Build C++ binaries" OFF)
option(BUILD_CUSTOM_PROTOBUF
"Build and use Caffe2's own protobuf under third_party" ON)
option(BUILD_PYTHON "Build Python binaries" ON)
option(BUILD_LITE_INTERPRETER "Master flag to build Lite Interpreter" OFF)
option(BUILD_SHARED_LIBS "Build libcaffe2.so" ON)
cmake_dependent_option(
CAFFE2_LINK_LOCAL_PROTOBUF "If set, build protobuf inside libcaffe2.so." ON
"BUILD_SHARED_LIBS AND BUILD_CUSTOM_PROTOBUF" OFF)
cmake_dependent_option(
CAFFE2_USE_MSVC_STATIC_RUNTIME "Using MSVC static runtime libraries" ON
"NOT BUILD_SHARED_LIBS" OFF)
option(BUILD_TEST "Build C++ test binaries (need gtest and gbenchmark)" OFF)
option(BUILD_AOT_INDUCTOR_TEST "Build C++ test binaries for aot-inductor" OFF)
option(BUILD_STATIC_RUNTIME_BENCHMARK
"Build C++ binaries for static runtime benchmarks (need gbenchmark)" OFF)
option(
BUILD_MOBILE_BENCHMARK
"Build C++ test binaries for mobile (ARM) targets(need gtest and gbenchmark)"
OFF)
option(
BUILD_MOBILE_TEST
"Build C++ test binaries for mobile (ARM) targets(need gtest and gbenchmark)"
OFF)
option(BUILD_JNI "Build JNI bindings" OFF)
option(BUILD_MOBILE_AUTOGRAD
"Build autograd function in mobile build (in development)" OFF)
cmake_dependent_option(INSTALL_TEST "Install test binaries if BUILD_TEST is on"
ON "BUILD_TEST" OFF)
option(USE_CPP_CODE_COVERAGE "Compile C/C++ with code coverage flags" OFF)
option(USE_COLORIZE_OUTPUT "Colorize output during compilation" ON)
option(USE_ASAN "Use Address+Undefined Sanitizers" OFF)
option(USE_TSAN "Use Thread Sanitizer" OFF)
option(USE_CUDA "Use CUDA" ON)
option(USE_XPU "Use XPU" ON)
cmake_dependent_option(
BUILD_LAZY_CUDA_LINALG "Build cuda linalg ops as separate library" ON
"USE_CUDA AND LINUX AND BUILD_PYTHON" OFF)
cmake_dependent_option(USE_ROCM "Use ROCm" ON "LINUX" OFF)
option(CAFFE2_STATIC_LINK_CUDA "Statically link CUDA libraries" OFF)
cmake_dependent_option(USE_CUDNN "Use cuDNN" ON "USE_CUDA" OFF)
cmake_dependent_option(USE_STATIC_CUDNN "Use cuDNN static libraries" OFF
"USE_CUDNN" OFF)
cmake_dependent_option(USE_CUSPARSELT "Use cuSPARSELt" ON "USE_CUDA" OFF)
# Binary builds will fail for cufile due to https://github.com/pytorch/builder/issues/1924
# Using TH_BINARY_BUILD to check whether is binary build.
# USE_ROCM is guarded against in Dependencies.cmake because USE_ROCM is not properly defined here
if(DEFINED ENV{TH_BINARY_BUILD})
cmake_dependent_option(USE_CUFILE "Use cuFile" OFF
"USE_CUDA AND NOT $ENV{TH_BINARY_BUILD} AND NOT WIN32" OFF)
else()
cmake_dependent_option(USE_CUFILE "Use cuFile" OFF "USE_CUDA AND NOT WIN32" OFF)
endif()
option(USE_FBGEMM "Use FBGEMM (quantized 8-bit server operators)" ON)
option(USE_KINETO "Use Kineto profiling library" ON)
option(USE_CUPTI_SO "Use CUPTI as a shared library" ON)
option(USE_FAKELOWP "Use FakeLowp operators" OFF)
option(USE_GFLAGS "Use GFLAGS" OFF)
option(USE_GLOG "Use GLOG" OFF)
option(USE_LITE_PROTO "Use lite protobuf instead of full." OFF)
option(USE_MAGMA "Use MAGMA" ON)
option(USE_PYTORCH_METAL "Use Metal for PyTorch iOS build" OFF)
option(USE_PYTORCH_METAL_EXPORT "Export Metal models on MacOSX desktop" OFF)
option(USE_NATIVE_ARCH "Use -march=native" OFF)
cmake_dependent_option(USE_MPS "Use MPS for macOS build" ON "MPS_FOUND" OFF)
cmake_dependent_option(USE_NCCL "Use NCCL" ON
"USE_CUDA OR USE_ROCM;UNIX;NOT APPLE" OFF)
cmake_dependent_option(USE_RCCL "Use RCCL" ON USE_NCCL OFF)
cmake_dependent_option(USE_STATIC_NCCL "Use static NCCL" OFF "USE_NCCL" OFF)
cmake_dependent_option(USE_SYSTEM_NCCL "Use system-wide NCCL" OFF "USE_NCCL"
OFF)
option(USE_NNAPI "Use NNAPI" OFF)
option(USE_NNPACK "Use NNPACK" ON)
cmake_dependent_option(USE_NUMA "Use NUMA. Only available on Linux." ON "LINUX"
OFF)
cmake_dependent_option(USE_NVRTC "Use NVRTC. Only available if USE_CUDA is on."
OFF "USE_CUDA" OFF)
option(USE_NUMPY "Use NumPy" ON)
option(USE_OBSERVERS "Use observers module." OFF)
option(USE_OPENCL "Use OpenCL" OFF)
option(USE_OPENMP "Use OpenMP for parallel code" ON)
option(USE_PRECOMPILED_HEADERS "Use pre-compiled headers to accelerate build."
OFF)
option(USE_PROF "Use profiling" OFF)
option(USE_PYTORCH_QNNPACK "Use ATen/QNNPACK (quantized 8-bit operators)" ON)
option(USE_SNPE "Use Qualcomm's SNPE library" OFF)
option(USE_SYSTEM_EIGEN_INSTALL
"Use system Eigen instead of the one under third_party" OFF)
cmake_dependent_option(
USE_VALGRIND "Use Valgrind. Only available on Linux." ON
"LINUX" OFF)
if(NOT DEFINED USE_VULKAN)
cmake_dependent_option(USE_VULKAN "Use Vulkan GPU backend" ON "ANDROID" OFF)
endif()
option(USE_SLEEF_FOR_ARM_VEC256 "Use sleef for arm" OFF)
option(USE_SOURCE_DEBUG_ON_MOBILE "Enable" ON)
option(USE_LITE_INTERPRETER_PROFILER "Enable" ON)
cmake_dependent_option(
USE_LITE_AOTI "Include AOTI sources" OFF
"BUILD_LITE_INTERPRETER" OFF)
option(USE_VULKAN_FP16_INFERENCE "Vulkan - Use fp16 inference" OFF)
option(USE_VULKAN_RELAXED_PRECISION
"Vulkan - Use relaxed precision math in the kernels (mediump)" OFF)
# option USE_XNNPACK: try to enable xnnpack by default.
option(USE_XNNPACK "Use XNNPACK" ON)
option(USE_ROCM_KERNEL_ASSERT "Use Kernel Assert for ROCm" OFF)
# Ensure that an ITT build is the default for x86 CPUs
cmake_dependent_option(USE_ITT "Use Intel(R) VTune Profiler ITT functionality"
ON "CPU_INTEL" OFF)
# Ensure that an MKLDNN build is the default for x86 CPUs but optional for
# AArch64 (dependent on -DUSE_MKLDNN).
cmake_dependent_option(
USE_MKLDNN "Use MKLDNN. Only available on x86, x86_64, and AArch64."
"${CPU_INTEL}" "CPU_INTEL OR CPU_AARCH64" OFF)
cmake_dependent_option(
USE_MKLDNN_ACL "Use Compute Library for the Arm architecture." OFF
"USE_MKLDNN AND CPU_AARCH64" OFF)
set(MKLDNN_ENABLE_CONCURRENT_EXEC ${USE_MKLDNN})
cmake_dependent_option(USE_MKLDNN_CBLAS "Use CBLAS in MKLDNN" OFF "USE_MKLDNN"
OFF)
option(USE_STATIC_MKL "Prefer to link with MKL statically (Unix only)" OFF)
option(USE_DISTRIBUTED "Use distributed" ON)
cmake_dependent_option(
USE_MPI "Use MPI for Caffe2. Only available if USE_DISTRIBUTED is on." ON
"USE_DISTRIBUTED" OFF)
cmake_dependent_option(
USE_UCC "Use UCC. Only available if USE_DISTRIBUTED is on." OFF
"USE_DISTRIBUTED" OFF)
cmake_dependent_option(USE_SYSTEM_UCC "Use system-wide UCC" OFF "USE_UCC" OFF)
cmake_dependent_option(USE_C10D_UCC "USE C10D UCC" ON "USE_DISTRIBUTED;USE_UCC"
OFF)
cmake_dependent_option(
USE_GLOO "Use Gloo. Only available if USE_DISTRIBUTED is on." ON
"USE_DISTRIBUTED" OFF)
cmake_dependent_option(
USE_GLOO_WITH_OPENSSL
"Use Gloo with OpenSSL. Only available if USE_GLOO is on." OFF
"USE_GLOO AND LINUX AND NOT INTERN_BUILD_MOBILE" OFF)
cmake_dependent_option(USE_C10D_GLOO "USE C10D GLOO" ON
"USE_DISTRIBUTED;USE_GLOO" OFF)
cmake_dependent_option(USE_C10D_NCCL "USE C10D NCCL" ON
"USE_DISTRIBUTED;USE_NCCL" OFF)
cmake_dependent_option(USE_C10D_MPI "USE C10D MPI" ON "USE_DISTRIBUTED;USE_MPI"
OFF)
cmake_dependent_option(
USE_GLOO "Use Gloo. Only available if USE_DISTRIBUTED is on." ON
"USE_DISTRIBUTED" OFF)
cmake_dependent_option(
USE_GLOO_WITH_OPENSSL "Use Gloo with OpenSSL. Only available if USE_GLOO is on." OFF
"USE_GLOO AND LINUX AND NOT INTERN_BUILD_MOBILE" OFF)
cmake_dependent_option(
USE_C10D_GLOO "USE C10D GLOO" ON "USE_DISTRIBUTED;USE_GLOO" OFF)
cmake_dependent_option(
USE_C10D_NCCL "USE C10D NCCL" ON "USE_DISTRIBUTED;USE_NCCL" OFF)
cmake_dependent_option(
USE_C10D_MPI "USE C10D MPI" ON "USE_DISTRIBUTED;USE_MPI" OFF)
cmake_dependent_option(
USE_TENSORPIPE "Use TensorPipe. Only available if USE_DISTRIBUTED is on." ON
"USE_DISTRIBUTED" OFF)
option(ONNX_ML "Enable traditional ONNX ML API." ON)
option(HAVE_SOVERSION "Whether to add SOVERSION to the shared objects" OFF)
option(BUILD_LIBTORCH_CPU_WITH_DEBUG
"Enable RelWithDebInfo for libtorch_cpu target only" OFF)
cmake_dependent_option(
USE_CCACHE "Attempt using CCache to wrap the compilation" ON "UNIX" OFF)
option(WERROR "Build with -Werror supported by the compiler" OFF)
option(
DEBUG_CUDA
"When compiling DEBUG, also attempt to compile CUDA with debug flags (may cause nvcc to OOM)"
OFF)
option(USE_COREML_DELEGATE "Use the CoreML backend through delegate APIs" OFF)
option(USE_PER_OPERATOR_HEADERS
"Whether ATen should generate separate headers for each operator" ON)
cmake_dependent_option(
BUILD_LAZY_TS_BACKEND
"Build the lazy Torchscript backend, not compatible with mobile builds" ON
"NOT INTERN_BUILD_MOBILE" OFF)
cmake_dependent_option(BUILD_FUNCTORCH "Build Functorch" ON "BUILD_PYTHON" OFF)
cmake_dependent_option(BUILD_BUNDLE_PTXAS "Bundle PTX into torch/bin fodler"
OFF "USE_CUDA" OFF)
option(USE_MIMALLOC "Use mimalloc" OFF)
# Enable third party mimalloc library to improve memory allocation performance
# on Windows.
if(WIN32)
set(USE_MIMALLOC ON)
endif()
if(USE_CCACHE)
find_program(CCACHE_PROGRAM ccache)
if(CCACHE_PROGRAM)
set(CMAKE_C_COMPILER_LAUNCHER
"${CCACHE_PROGRAM}"
CACHE STRING "C compiler launcher")
set(CMAKE_CXX_COMPILER_LAUNCHER
"${CCACHE_PROGRAM}"
CACHE STRING "CXX compiler launcher")
set(CMAKE_CUDA_COMPILER_LAUNCHER
"${CCACHE_PROGRAM}"
CACHE STRING "CUDA compiler launcher")
else()
message(
STATUS
"Could not find ccache. Consider installing ccache to speed up compilation."
)
endif()
endif()
# Since TensorPipe does not support Windows, set it to OFF when WIN32 detected
# On Windows platform, if user does not install libuv in build conda env and
# does not set libuv_ROOT environment variable. Set USE_DISTRIBUTED to OFF.
if(WIN32)
set(USE_TENSORPIPE OFF)
message(WARNING "TensorPipe cannot be used on Windows. Set it to OFF")
if(USE_DISTRIBUTED AND NOT DEFINED ENV{libuv_ROOT})
find_library(
libuv_tmp_LIBRARY
NAMES uv libuv
HINTS $ENV{CONDA_PREFIX}\\Library $ENV{PREFIX}\\Library
PATH_SUFFIXES lib
NO_DEFAULT_PATH)
if(NOT libuv_tmp_LIBRARY)
set(USE_DISTRIBUTED OFF)
set(USE_GLOO OFF)
message(
WARNING
"Libuv is not installed in current conda env. Set USE_DISTRIBUTED to OFF. "
"Please run command 'conda install -c conda-forge libuv=1.39' to install libuv."
)
else()
set(ENV{libuv_ROOT} ${libuv_tmp_LIBRARY}/../../)
endif()
endif()
endif()
if(USE_GLOO_WITH_OPENSSL)
set(USE_TCP_OPENSSL_LOAD
ON
CACHE STRING "")
endif()
# Linux distributions do not want too many embedded sources, in that sense we
# need to be able to build pytorch with an (almost) empty third_party directory.
# USE_SYSTEM_LIBS is a shortcut variable to toggle all the # USE_SYSTEM_*
# variables on. Individual USE_SYSTEM_* variables can be toggled with
# USE_SYSTEM_LIBS being "OFF".
option(USE_SYSTEM_LIBS "Use all available system-provided libraries." OFF)
option(USE_SYSTEM_CPUINFO "Use system-provided cpuinfo." OFF)
option(USE_SYSTEM_SLEEF "Use system-provided sleef." OFF)
option(USE_SYSTEM_GLOO "Use system-provided gloo." OFF)
option(USE_SYSTEM_FP16 "Use system-provided fp16." OFF)
option(USE_SYSTEM_PYBIND11 "Use system-provided PyBind11." OFF)
option(USE_SYSTEM_PTHREADPOOL "Use system-provided pthreadpool." OFF)
option(USE_SYSTEM_PSIMD "Use system-provided psimd." OFF)
option(USE_SYSTEM_FXDIV "Use system-provided fxdiv." OFF)
option(USE_SYSTEM_BENCHMARK "Use system-provided google benchmark." OFF)
option(USE_SYSTEM_ONNX "Use system-provided onnx." OFF)
option(USE_SYSTEM_XNNPACK "Use system-provided xnnpack." OFF)
option(USE_GOLD_LINKER "Use ld.gold to link" OFF)
if(USE_SYSTEM_LIBS)
set(USE_SYSTEM_CPUINFO ON)
set(USE_SYSTEM_SLEEF ON)
set(USE_SYSTEM_GLOO ON)
set(BUILD_CUSTOM_PROTOBUF OFF)
set(USE_SYSTEM_EIGEN_INSTALL ON)
set(USE_SYSTEM_FP16 ON)
set(USE_SYSTEM_PTHREADPOOL ON)
set(USE_SYSTEM_PSIMD ON)
set(USE_SYSTEM_FXDIV ON)
set(USE_SYSTEM_BENCHMARK ON)
set(USE_SYSTEM_ONNX ON)
set(USE_SYSTEM_XNNPACK ON)
set(USE_SYSTEM_PYBIND11 ON)
if(USE_NCCL)
set(USE_SYSTEM_NCCL ON)
endif()
endif()
# Used when building Caffe2 through setup.py
option(BUILDING_WITH_TORCH_LIBS
"Tell cmake if Caffe2 is being built alongside torch libs" ON)
# /Z7 override option When generating debug symbols, CMake default to use the
# flag /Zi. However, it is not compatible with sccache. So we rewrite it off.
# But some users don't use sccache; this override is for them.
cmake_dependent_option(
MSVC_Z7_OVERRIDE
"Work around sccache bug by replacing /Zi and /ZI with /Z7 when using MSVC (if you are not using sccache, you can turn this OFF)"
ON
"MSVC"
OFF)
if(NOT USE_SYSTEM_ONNX)
set(ONNX_NAMESPACE
"onnx_torch"
CACHE
STRING
"A namespace for ONNX; needed to build with other frameworks that share ONNX."
)
else()
set(ONNX_NAMESPACE
"onnx"
CACHE
STRING
"A namespace for ONNX; needed to build with other frameworks that share ONNX."
)
endif()
set(SELECTED_OP_LIST
""
CACHE
STRING
"Path to the yaml file that contains the list of operators to include for custom build. Include all operators by default."
)
option(
STATIC_DISPATCH_BACKEND
"Name of the backend for which static dispatch code is generated, e.g.: CPU."
"")
option(
USE_LIGHTWEIGHT_DISPATCH
"Enable codegen unboxing for ATen ops, need to work with static dispatch in order to work properly."
OFF)
if(USE_LIGHTWEIGHT_DISPATCH AND NOT STATIC_DISPATCH_BACKEND)
message(
FATAL_ERROR
"Need to enable static dispatch after enabling USE_LIGHTWEIGHT_DISPATCH.")
endif()
option(TRACING_BASED
"Master flag to build Lite Interpreter with tracing build option" OFF)
option(BUILD_EXECUTORCH "Master flag to build Executorch" ON)
# This is a fix for a rare build issue on Ubuntu: symbol lookup error:
# miniconda3/envs/pytorch-py3.7/lib/libmkl_intel_lp64.so: undefined symbol:
# mkl_blas_dsyrk
# https://software.intel.com/en-us/articles/symbol-lookup-error-when-linking-intel-mkl-with-gcc-on-ubuntu
if(LINUX)
set(CMAKE_SHARED_LINKER_FLAGS
"${CMAKE_SHARED_LINKER_FLAGS} -Wl,--no-as-needed")
set(ENV_LDFLAGS "$ENV{LDFLAGS}")
string(STRIP "${ENV_LDFLAGS}" ENV_LDFLAGS)
# Do not append linker flags passed via env var if they already there
if(NOT ${CMAKE_SHARED_LINKER_FLAGS} MATCHES "${ENV_LDFLAGS}")
set(CMAKE_SHARED_LINKER_FLAGS
"${CMAKE_SHARED_LINKER_FLAGS} ${ENV_LDFLAGS}")
endif()
endif()
if(MSVC)
# MSVC by default does not apply the correct __cplusplus version as specified
# by the C++ standard because MSVC is not a completely compliant
# implementation. This option forces MSVC to use the appropriate value given
# the requested --std option. This fixes a compilation issue mismatch between
# GCC/Clang and MSVC.
#
# See: *
# https://learn.microsoft.com/en-us/cpp/build/reference/zc-cplusplus?view=msvc-170
# * https://en.cppreference.com/w/cpp/preprocessor/replace#Predefined_macros
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /Zc:__cplusplus")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Xcompiler /Zc:__cplusplus")
set(CMAKE_NINJA_CMCLDEPS_RC OFF)
foreach(
flag_var
CMAKE_C_FLAGS
CMAKE_C_FLAGS_DEBUG
CMAKE_C_FLAGS_RELEASE
CMAKE_C_FLAGS_MINSIZEREL
CMAKE_C_FLAGS_RELWITHDEBINFO
CMAKE_CXX_FLAGS
CMAKE_CXX_FLAGS_DEBUG
CMAKE_CXX_FLAGS_RELEASE
CMAKE_CXX_FLAGS_MINSIZEREL
CMAKE_CXX_FLAGS_RELWITHDEBINFO)
# Replace /Zi and /ZI with /Z7
if(MSVC_Z7_OVERRIDE)
if(${flag_var} MATCHES "/Z[iI]")
string(REGEX REPLACE "/Z[iI]" "/Z7" ${flag_var} "${${flag_var}}")
endif(${flag_var} MATCHES "/Z[iI]")
endif(MSVC_Z7_OVERRIDE)
if(${CAFFE2_USE_MSVC_STATIC_RUNTIME})
if(${flag_var} MATCHES "/MD")
string(REGEX REPLACE "/MD" "/MT" ${flag_var} "${${flag_var}}")
endif(${flag_var} MATCHES "/MD")
else()
if(${flag_var} MATCHES "/MT")
string(REGEX REPLACE "/MT" "/MD" ${flag_var} "${${flag_var}}")
endif()
endif()
# /bigobj increases number of sections in .obj file, which is needed to link
# against libraries in Python 2.7 under Windows For Visual Studio
# generators, if /MP is not added, then we may need to add /MP to the flags.
# For other generators like ninja, we don't need to add /MP because it is
# already handled by the generator itself.
if(CMAKE_GENERATOR MATCHES "Visual Studio" AND NOT ${flag_var} MATCHES
"/MP")
set(${flag_var} "${${flag_var}} /MP /bigobj")
else()
set(${flag_var} "${${flag_var}} /bigobj")
endif()
endforeach(flag_var)
foreach(flag_var
CMAKE_C_FLAGS CMAKE_C_FLAGS_RELEASE CMAKE_C_FLAGS_MINSIZEREL
CMAKE_CXX_FLAGS CMAKE_CXX_FLAGS_RELEASE CMAKE_CXX_FLAGS_MINSIZEREL)
if(${flag_var} MATCHES "/Z[iI7]")
string(REGEX REPLACE "/Z[iI7]" "" ${flag_var} "${${flag_var}}")
endif()
endforeach(flag_var)
foreach(
flag_var
CMAKE_SHARED_LINKER_FLAGS_RELWITHDEBINFO
CMAKE_STATIC_LINKER_FLAGS_RELWITHDEBINFO
CMAKE_EXE_LINKER_FLAGS_RELWITHDEBINFO
CMAKE_MODULE_LINKER_FLAGS_RELWITHDEBINFO
CMAKE_SHARED_LINKER_FLAGS_DEBUG
CMAKE_STATIC_LINKER_FLAGS_DEBUG
CMAKE_EXE_LINKER_FLAGS_DEBUG
CMAKE_MODULE_LINKER_FLAGS_DEBUG)
# Switch off incremental linking in debug/relwithdebinfo builds
if(${flag_var} MATCHES "/INCREMENTAL" AND NOT ${flag_var} MATCHES
"/INCREMENTAL:NO")
string(REGEX REPLACE "/INCREMENTAL" "/INCREMENTAL:NO" ${flag_var}
"${${flag_var}}")
endif()
endforeach(flag_var)
foreach(flag_var CMAKE_SHARED_LINKER_FLAGS CMAKE_STATIC_LINKER_FLAGS
CMAKE_EXE_LINKER_FLAGS CMAKE_MODULE_LINKER_FLAGS)
string(APPEND ${flag_var} " /ignore:4049 /ignore:4217 /ignore:4099")
endforeach(flag_var)
foreach(flag_var CMAKE_SHARED_LINKER_FLAGS)
# https://github.com/pytorch/pytorch/issues/91933: Don't set the manifest
# filename explicitly helps fix the linker error when linking
# torch_python.dll. The manifest file would still be there in the correct
# format torch_python.dll.manifest
if(${flag_var} MATCHES "/MANIFESTFILE:.*\\.manifest")
string(REGEX REPLACE "/MANIFESTFILE:.*\\.manifest" "" ${flag_var}
"${${flag_var}}")
endif()
endforeach(flag_var)
# Try harder
string(APPEND CMAKE_CUDA_FLAGS " -Xcompiler /w -w")
string(APPEND CMAKE_CXX_FLAGS " /FS")
string(APPEND CMAKE_CUDA_FLAGS " -Xcompiler /FS")
endif(MSVC)
string(APPEND CMAKE_CUDA_FLAGS " -Xfatbin -compress-all")
# Set INTERN_BUILD_MOBILE for all mobile builds. Components that are not
# applicable to mobile are disabled by this variable. Setting
# `BUILD_PYTORCH_MOBILE_WITH_HOST_TOOLCHAIN` environment variable can force it
# to do mobile build with host toolchain - which is useful for testing purpose.
if(ANDROID
OR IOS
OR DEFINED ENV{BUILD_PYTORCH_MOBILE_WITH_HOST_TOOLCHAIN})
set(INTERN_BUILD_MOBILE ON)
message(WARNING "INTERN_BUILD_MOBILE is on, disabling BUILD_LAZY_TS_BACKEND")
set(BUILD_LAZY_TS_BACKEND OFF)
# Set -ffunction-sections and -fdata-sections so that each method has its own
# text section. This allows the linker to remove unused section when the flag
# -Wl,-gc-sections is provided at link time.
string(APPEND CMAKE_CXX_FLAGS " -ffunction-sections")
string(APPEND CMAKE_C_FLAGS " -ffunction-sections")
string(APPEND CMAKE_CXX_FLAGS " -fdata-sections")
string(APPEND CMAKE_C_FLAGS " -fdata-sections")
# Please note that the use of the following flags is required when linking
# against libtorch_cpu.a for mobile builds. -Wl,--whole-archive -ltorch_cpu
# -Wl,--no-whole-archive
#
# This allows global constructors to be included and run. Global constructors
# are used for operator/kernel registration with the PyTorch Dispatcher.
if(DEFINED ENV{BUILD_PYTORCH_MOBILE_WITH_HOST_TOOLCHAIN})
# C10_MOBILE is derived from Android/iOS toolchain macros in
# c10/macros/Macros.h, so it needs to be explicitly set here.
string(APPEND CMAKE_CXX_FLAGS " -DC10_MOBILE")
endif()
if(DEFINED ENV{PYTORCH_MOBILE_TRIM_DISPATCH_KEY_SET})
# If PYTORCH_MOBILE_TRIM_DISPATCH_KEY_SET is defined (env var), then define
# C10_MOBILE_TRIM_DISPATCH_KEYS, which limits the number of dispatch keys in
# OperatorEntry::dispatchTable_ to reduce peak memory during library
# initialization.
string(APPEND CMAKE_CXX_FLAGS " -DC10_MOBILE_TRIM_DISPATCH_KEYS")
endif()
endif()
# INTERN_BUILD_ATEN_OPS is used to control whether to build ATen/TH operators.
set(INTERN_BUILD_ATEN_OPS ON)
if(NOT DEFINED USE_BLAS)
set(USE_BLAS ON)
endif()
# Build libtorch mobile library, which contains ATen/TH ops and native support
# for TorchScript model, but doesn't contain not-yet-unified caffe2 ops;
if(INTERN_BUILD_MOBILE)
if(NOT BUILD_SHARED_LIBS AND NOT "${SELECTED_OP_LIST}" STREQUAL "")
string(APPEND CMAKE_CXX_FLAGS " -DNO_EXPORT")
endif()
if(BUILD_MOBILE_AUTOGRAD)
set(INTERN_DISABLE_AUTOGRAD OFF)
else()
set(INTERN_DISABLE_AUTOGRAD ON)
endif()
set(BUILD_PYTHON OFF)
set(BUILD_FUNCTORCH OFF)
set(USE_DISTRIBUTED OFF)
set(NO_API ON)
set(USE_FBGEMM OFF)
set(INTERN_DISABLE_ONNX ON)
if(USE_BLAS)
set(INTERN_USE_EIGEN_BLAS ON)
else()
set(INTERN_USE_EIGEN_BLAS OFF)
endif()
# Disable developing mobile interpreter for actual mobile build. Enable it
# elsewhere to capture build error.
set(INTERN_DISABLE_MOBILE_INTERP ON)
endif()
# ---[ Version numbers for generated libraries
file(READ version.txt TORCH_DEFAULT_VERSION)
# Strip trailing newline
string(REGEX REPLACE "\n$" "" TORCH_DEFAULT_VERSION "${TORCH_DEFAULT_VERSION}")
if("${TORCH_DEFAULT_VERSION} " STREQUAL " ")
message(WARNING "Could not get version from base 'version.txt'")
# If we can't get the version from the version file we should probably set it
# to something non-sensical like 0.0.0
set(TORCH_DEFAULT_VERSION, "0.0.0")
endif()
set(TORCH_BUILD_VERSION
"${TORCH_DEFAULT_VERSION}"
CACHE STRING "Torch build version")
if(DEFINED ENV{PYTORCH_BUILD_VERSION})
set(TORCH_BUILD_VERSION
"$ENV{PYTORCH_BUILD_VERSION}"
CACHE STRING "Torch build version" FORCE)
endif()
if(NOT TORCH_BUILD_VERSION)
# An empty string was specified so force version to the default
set(TORCH_BUILD_VERSION
"${TORCH_DEFAULT_VERSION}"
CACHE STRING "Torch build version" FORCE)
endif()
caffe2_parse_version_str(TORCH ${TORCH_BUILD_VERSION})
set(TORCH_SOVERSION "${TORCH_VERSION_MAJOR}.${TORCH_VERSION_MINOR}")
# ---[ CMake scripts + modules
list(APPEND CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake/Modules)
# ---[ CMake build directories
set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
enable_testing()
# ---[ Build variables set within the cmake tree
include(cmake/BuildVariables.cmake)
set(CAFFE2_ALLOWLIST
""
CACHE STRING "A allowlist file of files that one should build.")
# Set default build type
if(NOT CMAKE_BUILD_TYPE)
message(STATUS "Build type not set - defaulting to Release")
set(CMAKE_BUILD_TYPE
"Release"
CACHE
STRING
"Choose the type of build from: Debug Release RelWithDebInfo MinSizeRel Coverage."
FORCE)
endif()
# The below means we are cross compiling for arm64 or x86_64 on MacOSX
if(NOT IOS
AND CMAKE_SYSTEM_NAME STREQUAL "Darwin"
AND CMAKE_OSX_ARCHITECTURES MATCHES "^(x86_64|arm64)$")
set(CROSS_COMPILING_MACOSX TRUE)
# We need to compile a universal protoc to not fail protobuf build We set
# CMAKE_TRY_COMPILE_TARGET_TYPE to STATIC_LIBRARY (vs executable) to succeed
# the cmake compiler check for cross-compiling
set(protoc_build_command
"./scripts/build_host_protoc.sh --other-flags -DCMAKE_OSX_ARCHITECTURES=\"x86_64;arm64\" -DCMAKE_TRY_COMPILE_TARGET_TYPE=STATIC_LIBRARY -DCMAKE_C_COMPILER_WORKS=1 -DCMAKE_CXX_COMPILER_WORKS=1"
)
# We write to a temp scriptfile because CMake COMMAND dislikes double quotes
# in commands
file(WRITE ${PROJECT_SOURCE_DIR}/tmp_protoc_script.sh
"#!/bin/bash\n${protoc_build_command}")
file(
COPY ${PROJECT_SOURCE_DIR}/tmp_protoc_script.sh
DESTINATION ${PROJECT_SOURCE_DIR}/scripts/
FILE_PERMISSIONS OWNER_EXECUTE OWNER_WRITE OWNER_READ)
execute_process(
COMMAND ./scripts/tmp_protoc_script.sh
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}
RESULT_VARIABLE BUILD_HOST_PROTOC_RESULT)
file(REMOVE ${PROJECT_SOURCE_DIR}/tmp_protoc_script.sh
${PROJECT_SOURCE_DIR}/scripts/tmp_protoc_script.sh)
if(NOT BUILD_HOST_PROTOC_RESULT EQUAL "0")
message(FATAL_ERROR "Could not compile universal protoc.")
endif()
set(PROTOBUF_PROTOC_EXECUTABLE
"${PROJECT_SOURCE_DIR}/build_host_protoc/bin/protoc")
set(CAFFE2_CUSTOM_PROTOC_EXECUTABLE
"${PROJECT_SOURCE_DIR}/build_host_protoc/bin/protoc")
endif()
# ---[ Misc checks to cope with various compiler modes
include(cmake/MiscCheck.cmake)
# External projects
include(ExternalProject)
# ---[ Dependencies ---[ FBGEMM doesn't work on x86 32bit and
# CMAKE_SYSTEM_PROCESSOR thinks its 64bit
if(USE_FBGEMM
AND((CMAKE_SYSTEM_PROCESSOR STREQUAL "x86_64" AND CMAKE_SIZEOF_VOID_P EQUAL
4)
OR CMAKE_SYSTEM_PROCESSOR STREQUAL "x86"))
set(USE_FBGEMM OFF)
endif()
set(BUILD_ONEDNN_GRAPH OFF)
if(MSVC)
# The source code is in utf-8 encoding
append_cxx_flag_if_supported("/utf-8" CMAKE_CXX_FLAGS)
endif()
# Note for ROCM platform: 1. USE_ROCM is always ON until
# include(cmake/Dependencies.cmake) 2. USE_CUDA will become OFF during
# re-configuration Truth Table: CUDA 1st pass: USE_CUDA=True;USE_ROCM=True,
# FLASH evaluates to ON by default CUDA 2nd pass: USE_CUDA=True;USE_ROCM=False,
# FLASH evaluates to ON by default ROCM 1st pass: USE_CUDA=True;USE_ROCM=True,
# FLASH evaluates to ON by default ROCM 2nd pass: USE_CUDA=False;USE_ROCM=True,
# FLASH evaluates to ON by default CPU 1st pass: USE_CUDA=False(Cmd
# Option);USE_ROCM=True, FLASH evaluates to OFF by default CPU 2nd pass:
# USE_CUDA=False(Cmd Option);USE_ROCM=False, FLASH evaluates to OFF by default
# Thus we cannot tell ROCM 2nd pass and CPU 1st pass
#
# The only solution is to include(cmake/Dependencies.cmake), and defer the
# aotriton build decision later.
include(cmake/Dependencies.cmake)
cmake_dependent_option(
USE_FLASH_ATTENTION
"Whether to build the flash_attention kernel for scaled dot product attention.\
Will be disabled if not supported by the platform"
ON
"USE_CUDA OR USE_ROCM;NOT MSVC"
OFF)
# We are currenlty not using alibi attention for Flash So we disable this
# feature by default We dont currently document this feature because we don't
# Suspect users building from source will need this
add_definitions(-DFLASHATTENTION_DISABLE_ALIBI)
# CAVEAT: Again, Flash Attention2 will error while building for sm52 while Mem
# Eff Attention won't
cmake_dependent_option(
USE_MEM_EFF_ATTENTION
"Enable memory-efficient attention for scaled dot product attention.\
Will be disabled if not supported by the platform" ON
"USE_CUDA OR USE_ROCM" OFF)
if(DEBUG_CUDA)
string(APPEND CMAKE_CUDA_FLAGS_DEBUG " -lineinfo")
string(APPEND CMAKE_CUDA_FLAGS_RELWITHDEBINFO " -lineinfo")
# CUDA-12.1 crashes when trying to compile with --source-in-ptx See
# https://github.com/pytorch/pytorch/issues/102372#issuecomment-1572526893
if(CMAKE_CUDA_COMPILER_VERSION VERSION_LESS 12.1)
string(APPEND CMAKE_CUDA_FLAGS_DEBUG " --source-in-ptx")
string(APPEND CMAKE_CUDA_FLAGS_RELWITHDEBINFO " --source-in-ptx")
endif()
endif(DEBUG_CUDA)
if(USE_FBGEMM)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_FBGEMM")
endif()
if(USE_PYTORCH_QNNPACK)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_PYTORCH_QNNPACK")
endif()
if(USE_SLEEF_FOR_ARM_VEC256)
string(APPEND CMAKE_CXX_FLAGS " -DAT_BUILD_ARM_VEC256_WITH_SLEEF")
add_definitions(-DAT_BUILD_ARM_VEC256_WITH_SLEEF)
endif()
# Enable sleef on macOS with Apple silicon by default
if((${CMAKE_SYSTEM_NAME} STREQUAL "Darwin") AND ("${CMAKE_SYSTEM_PROCESSOR}" STREQUAL "arm64"))
message(STATUS "Running on macOS with Apple silicon")
string(APPEND CMAKE_CXX_FLAGS " -DAT_BUILD_ARM_VEC256_WITH_SLEEF")
add_definitions(-DAT_BUILD_ARM_VEC256_WITH_SLEEF)
endif()
if(USE_XNNPACK)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_XNNPACK")
endif()
if(USE_VULKAN)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_VULKAN")
string(APPEND CMAKE_CXX_FLAGS " -DUSE_VULKAN_API")
if(USE_VULKAN_FP16_INFERENCE)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_VULKAN_FP16_INFERENCE")
endif()
if(USE_VULKAN_RELAXED_PRECISION)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_VULKAN_RELAXED_PRECISION")
endif()
endif()
if(BUILD_LITE_INTERPRETER)
string(APPEND CMAKE_CXX_FLAGS " -DBUILD_LITE_INTERPRETER")
endif()
if(TRACING_BASED)
string(APPEND CMAKE_CXX_FLAGS " -DTRACING_BASED")
endif()
if(USE_PYTORCH_METAL)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_PYTORCH_METAL")
endif()
if(USE_PYTORCH_METAL_EXPORT)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_PYTORCH_METAL_EXPORT")
endif()
if(USE_SOURCE_DEBUG_ON_MOBILE)
string(APPEND CMAKE_CXX_FLAGS " -DSYMBOLICATE_MOBILE_DEBUG_HANDLE")
endif()
if(BUILD_LITE_INTERPRETER AND USE_LITE_INTERPRETER_PROFILER)
string(APPEND CMAKE_CXX_FLAGS " -DEDGE_PROFILER_USE_KINETO")
endif()
if(USE_COREML_DELEGATE)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_COREML_DELEGATE")
endif()
# ---[ Allowlist file if allowlist is specified
include(cmake/Allowlist.cmake)
# ---[ Set link flag, handle additional deps for gcc 4.8 and above
if(CMAKE_COMPILER_IS_GNUCXX AND NOT ANDROID)
message(
STATUS
"GCC ${CMAKE_CXX_COMPILER_VERSION}: Adding gcc and gcc_s libs to link line"
)
list(APPEND Caffe2_DEPENDENCY_LIBS gcc_s gcc)
endif()
# ---[ Build flags Re-include to override append_cxx_flag_if_supported from
# third_party/FBGEMM
include(cmake/public/utils.cmake)
if(NOT MSVC)
string(APPEND CMAKE_CXX_FLAGS " -O2 -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)
append_cxx_flag_if_supported("-Werror=bool-operation" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wnarrowing" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-missing-field-initializers"
CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-type-limits" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-array-bounds" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-unknown-pragmas" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-unused-parameter" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-strict-overflow" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-strict-aliasing" CMAKE_CXX_FLAGS)