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pytorch/cmake/Dependencies.cmake

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CMake
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# RPATH stuff
# see https://cmake.org/Wiki/CMake_RPATH_handling
if(APPLE)
set(CMAKE_MACOSX_RPATH ON)
set(_rpath_portable_origin "@loader_path")
else()
set(_rpath_portable_origin $ORIGIN)
endif(APPLE)
# Use separate rpaths during build and install phases
set(CMAKE_SKIP_BUILD_RPATH FALSE)
# Don't use the install-rpath during the build phase
set(CMAKE_BUILD_WITH_INSTALL_RPATH FALSE)
set(CMAKE_INSTALL_RPATH "${_rpath_portable_origin}")
# Automatically add all linked folders that are NOT in the build directory to
# the rpath (per library?)
set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
# UBSAN triggers when compiling protobuf, so we need to disable it.
set(UBSAN_FLAG "-fsanitize=undefined")
macro(disable_ubsan)
if(CMAKE_C_FLAGS MATCHES ${UBSAN_FLAG} OR CMAKE_CXX_FLAGS MATCHES ${UBSAN_FLAG})
set(CAFFE2_UBSAN_ENABLED ON)
string(REPLACE ${UBSAN_FLAG} "" CMAKE_C_FLAGS ${CMAKE_C_FLAGS})
string(REPLACE ${UBSAN_FLAG} "" CMAKE_CXX_FLAGS ${CMAKE_CXX_FLAGS})
endif()
endmacro()
macro(enable_ubsan)
if(CAFFE2_UBSAN_ENABLED)
set(CMAKE_C_FLAGS "${UBSAN_FLAG} ${CMAKE_C_FLAGS}")
set(CMAKE_CXX_FLAGS "${UBSAN_FLAG} ${CMAKE_CXX_FLAGS}")
endif()
endmacro()
# ---[ CUDA
if(USE_CUDA)
# public/*.cmake uses CAFFE2_USE_*
set(CAFFE2_USE_CUDA ${USE_CUDA})
set(CAFFE2_USE_CUDNN ${USE_CUDNN})
set(CAFFE2_USE_CUSPARSELT ${USE_CUSPARSELT})
set(CAFFE2_USE_CUFILE ${USE_CUFILE})
set(CAFFE2_USE_NVRTC ${USE_NVRTC})
include(${CMAKE_CURRENT_LIST_DIR}/public/cuda.cmake)
if(CAFFE2_USE_CUDA)
# A helper variable recording the list of Caffe2 dependent libraries
# torch::cudart is dealt with separately, due to CUDA_ADD_LIBRARY
# design reason (it adds CUDA_LIBRARIES itself).
set(Caffe2_PUBLIC_CUDA_DEPENDENCY_LIBS )
if(NOT CAFFE2_USE_NVRTC)
caffe2_update_option(USE_NVRTC OFF)
endif()
list(APPEND Caffe2_CUDA_DEPENDENCY_LIBS caffe2::curand caffe2::cufft caffe2::cublas)
if(CAFFE2_USE_CUDNN)
list(APPEND Caffe2_CUDA_DEPENDENCY_LIBS torch::cudnn)
else()
caffe2_update_option(USE_CUDNN OFF)
endif()
if(CAFFE2_USE_CUSPARSELT)
list(APPEND Caffe2_CUDA_DEPENDENCY_LIBS torch::cusparselt)
else()
caffe2_update_option(USE_CUSPARSELT OFF)
endif()
if(CAFFE2_USE_CUFILE)
list(APPEND Caffe2_CUDA_DEPENDENCY_LIBS torch::cufile)
endif()
find_program(SCCACHE_EXECUTABLE sccache)
if(SCCACHE_EXECUTABLE)
# Using RSP/--options-file renders output noncacheable by sccache
# as they fall under `multiple input files` non-cacheable rule
set(CMAKE_CUDA_USE_RESPONSE_FILE_FOR_INCLUDES 0)
set(CMAKE_CUDA_USE_RESPONSE_FILE_FOR_LIBRARIES 0)
set(CMAKE_CUDA_USE_RESPONSE_FILE_FOR_OBJECTS 0)
endif()
else()
message(WARNING
"Not compiling with CUDA. Suppress this warning with "
"-DUSE_CUDA=OFF.")
caffe2_update_option(USE_CUDA OFF)
caffe2_update_option(USE_CUDNN OFF)
caffe2_update_option(USE_CUSPARSELT OFF)
caffe2_update_option(USE_NVRTC OFF)
set(CAFFE2_USE_CUDA OFF)
set(CAFFE2_USE_CUDNN OFF)
set(CAFFE2_USE_CUSPARSELT OFF)
set(CAFFE2_USE_CUFILE OFF)
set(CAFFE2_USE_NVRTC OFF)
endif()
endif()
# ---[ XPU
if(USE_XPU)
include(${CMAKE_CURRENT_LIST_DIR}/public/xpu.cmake)
if(NOT PYTORCH_FOUND_XPU)
message(WARNING "Not compiling with XPU. Could NOT find SYCL. "
"Suppress this warning with -DUSE_XPU=OFF.")
caffe2_update_option(USE_XPU OFF)
endif()
foreach(flag ${XPU_HOST_CXX_FLAGS})
add_definitions(${flag})
endforeach()
endif()
# ---[ Custom Protobuf
if(CAFFE2_CMAKE_BUILDING_WITH_MAIN_REPO AND NOT INTERN_BUILD_MOBILE)
disable_ubsan()
include(${CMAKE_CURRENT_LIST_DIR}/ProtoBuf.cmake)
enable_ubsan()
endif()
if(USE_ASAN OR USE_TSAN)
find_package(Sanitizer REQUIRED)
if(USE_ASAN)
if(TARGET Sanitizer::address)
list(APPEND Caffe2_DEPENDENCY_LIBS Sanitizer::address)
else()
message(WARNING "Not ASAN found. Suppress this warning with -DUSE_ASAN=OFF.")
caffe2_update_option(USE_ASAN OFF)
endif()
if(TARGET Sanitizer::undefined)
list(APPEND Caffe2_DEPENDENCY_LIBS Sanitizer::undefined)
endif()
endif()
if(USE_TSAN)
if(TARGET Sanitizer::thread)
list(APPEND Caffe2_DEPENDENCY_LIBS Sanitizer::thread)
else()
message(WARNING "Not TSAN found. Suppress this warning with -DUSE_TSAN=OFF.")
caffe2_update_option(USE_TSAN OFF)
endif()
endif()
endif()
# ---[ Threads
find_package(Threads REQUIRED)
if(TARGET Threads::Threads)
list(APPEND Caffe2_DEPENDENCY_LIBS Threads::Threads)
else()
message(FATAL_ERROR
"Cannot find threading library. PyTorch requires Threads to compile.")
endif()
# ---[ protobuf
if(CAFFE2_CMAKE_BUILDING_WITH_MAIN_REPO)
if(USE_LITE_PROTO)
set(CAFFE2_USE_LITE_PROTO 1)
endif()
endif()
# ---[ BLAS
set(AT_MKLDNN_ACL_ENABLED 0)
set(AT_MKLDNN_ENABLED 0)
set(AT_MKL_ENABLED 0)
set(AT_KLEIDIAI_ENABLED 0)
set(AT_USE_EIGEN_SPARSE 0)
# setting default preferred BLAS options if not already present.
if(NOT INTERN_BUILD_MOBILE)
set(BLAS "MKL" CACHE STRING "Selected BLAS library")
else()
set(BLAS "Eigen" CACHE STRING "Selected BLAS library")
set(AT_MKLDNN_ENABLED 0)
set(AT_MKL_ENABLED 0)
endif()
set_property(CACHE BLAS PROPERTY STRINGS "ATLAS;BLIS;Eigen;FLAME;Generic;MKL;OpenBLAS;vecLib;APL")
message(STATUS "Trying to find preferred BLAS backend of choice: " ${BLAS})
set(BLAS_CHECK_F2C 0)
if(BLAS STREQUAL "Eigen")
# Eigen is header-only and we do not have any dependent libraries
set(CAFFE2_USE_EIGEN_FOR_BLAS ON)
elseif(BLAS STREQUAL "ATLAS")
find_package(Atlas REQUIRED)
include_directories(SYSTEM ${ATLAS_INCLUDE_DIRS})
list(APPEND Caffe2_DEPENDENCY_LIBS ${ATLAS_LIBRARIES})
list(APPEND Caffe2_DEPENDENCY_LIBS cblas)
set(BLAS_INFO "atlas")
set(BLAS_FOUND 1)
set(BLAS_LIBRARIES ${ATLAS_LIBRARIES} cblas)
set(BLAS_CHECK_F2C 1)
elseif(BLAS STREQUAL "OpenBLAS")
find_package(OpenBLAS REQUIRED)
include_directories(SYSTEM ${OpenBLAS_INCLUDE_DIR})
list(APPEND Caffe2_DEPENDENCY_LIBS ${OpenBLAS_LIB})
set(BLAS_INFO "open")
set(BLAS_FOUND 1)
set(BLAS_LIBRARIES ${OpenBLAS_LIB})
set(BLAS_CHECK_F2C 1)
elseif(BLAS STREQUAL "BLIS")
find_package(BLIS REQUIRED)
include_directories(SYSTEM ${BLIS_INCLUDE_DIR})
list(APPEND Caffe2_DEPENDENCY_LIBS ${BLIS_LIB})
set(BLAS_CHECK_F2C 1)
elseif(BLAS STREQUAL "MKL")
if(BLAS_SET_BY_USER)
find_package(MKL REQUIRED)
else()
find_package(MKL QUIET)
endif()
include(${CMAKE_CURRENT_LIST_DIR}/public/mkl.cmake)
if(MKL_FOUND)
message(STATUS "MKL libraries: ${MKL_LIBRARIES}")
message(STATUS "MKL include directory: ${MKL_INCLUDE_DIR}")
message(STATUS "MKL OpenMP type: ${MKL_OPENMP_TYPE}")
message(STATUS "MKL OpenMP library: ${MKL_OPENMP_LIBRARY}")
include_directories(AFTER SYSTEM ${MKL_INCLUDE_DIR})
list(APPEND Caffe2_PUBLIC_DEPENDENCY_LIBS caffe2::mkl)
set(CAFFE2_USE_MKL ON)
set(BLAS_INFO "mkl")
set(BLAS_FOUND 1)
set(BLAS_LIBRARIES ${MKL_LIBRARIES})
else()
message(WARNING "MKL could not be found. Defaulting to Eigen")
set(CAFFE2_USE_EIGEN_FOR_BLAS ON)
set(CAFFE2_USE_MKL OFF)
endif()
elseif(BLAS STREQUAL "NVPL")
find_package(NVPL_BLAS REQUIRED)
list(APPEND Caffe2_DEPENDENCY_LIBS nvpl::blas_lp64_omp)
set(BLAS_INFO "nvpl")
set(BLAS_FOUND 1)
set(BLAS_USE_CBLAS_DOT TRUE)
set(BLAS_CHECK_F2C 1)
elseif(BLAS STREQUAL "vecLib")
find_package(vecLib REQUIRED)
include_directories(SYSTEM ${vecLib_INCLUDE_DIR})
list(APPEND Caffe2_DEPENDENCY_LIBS ${vecLib_LINKER_LIBS})
set(BLAS_INFO "veclib")
set(BLAS_FOUND 1)
set(BLAS_LIBRARIES ${vecLib_LINKER_LIBS})
elseif(BLAS STREQUAL "FlexiBLAS")
find_package(FlexiBLAS REQUIRED)
include_directories(SYSTEM ${FlexiBLAS_INCLUDE_DIR})
list(APPEND Caffe2_DEPENDENCY_LIBS ${FlexiBLAS_LIB})
set(BLAS_CHECK_F2C 1)
elseif(BLAS STREQUAL "APL")
find_package(APL REQUIRED)
include_directories(SYSTEM ${APL_INCLUDE_DIR})
set(BLAS_INFO "apl")
set(BLAS_FOUND 1)
set(BLAS_LIBRARIES ${APL_LIBRARIES})
set(BLAS_CHECK_F2C 1)
elseif(BLAS STREQUAL "Generic")
# On Debian family, the CBLAS ABIs have been merged into libblas.so
if(ENV{GENERIC_BLAS_LIBRARIES} STREQUAL "")
set(GENERIC_BLAS "blas")
else()
set(GENERIC_BLAS $ENV{GENERIC_BLAS_LIBRARIES})
endif()
find_library(BLAS_LIBRARIES NAMES ${GENERIC_BLAS})
message("-- Using BLAS: ${BLAS_LIBRARIES}")
list(APPEND Caffe2_DEPENDENCY_LIBS ${BLAS_LIBRARIES})
set(GENERIC_BLAS_FOUND TRUE)
set(BLAS_INFO "generic")
set(BLAS_FOUND 1)
set(BLAS_CHECK_F2C 1)
else()
message(FATAL_ERROR "Unrecognized BLAS option: " ${BLAS})
endif()
# Determine if blas was compiled with the f2c conventions
if(BLAS_LIBRARIES AND BLAS_CHECK_F2C)
include(cmake/BLAS_ABI.cmake)
endif()
if(USE_EIGEN_SPARSE AND BLAS_INFO STREQUAL "mkl")
message(WARNING "Disabling USE_EIGEN_SPARSE because MKL is enabled")
set(USE_EIGEN_SPARSE OFF)
endif()
if(USE_EIGEN_SPARSE)
set(AT_USE_EIGEN_SPARSE 1)
endif()
if(NOT INTERN_BUILD_MOBILE)
set(AT_MKL_SEQUENTIAL 0)
set(USE_BLAS 1)
if(NOT (ATLAS_FOUND OR BLIS_FOUND OR GENERIC_BLAS_FOUND OR MKL_FOUND OR OpenBLAS_FOUND OR VECLIB_FOUND OR FlexiBLAS_FOUND OR NVPL_BLAS_FOUND OR APL_FOUND))
message(WARNING "Preferred BLAS (" ${BLAS} ") cannot be found, now searching for a general BLAS library")
find_package(BLAS)
if(NOT BLAS_FOUND)
set(USE_BLAS 0)
endif()
endif()
if(MKL_FOUND)
if("${MKL_THREADING}" STREQUAL "SEQ")
set(AT_MKL_SEQUENTIAL 1)
endif()
set(AT_MKL_ENABLED 1)
endif()
elseif(INTERN_USE_EIGEN_BLAS)
# Eigen BLAS for Mobile
set(USE_BLAS 1)
include(${CMAKE_CURRENT_LIST_DIR}/External/EigenBLAS.cmake)
list(APPEND Caffe2_DEPENDENCY_LIBS eigen_blas)
endif()
# --- [ PocketFFT
set(AT_POCKETFFT_ENABLED 0)
if(NOT AT_MKL_ENABLED)
set(POCKETFFT_INCLUDE_DIR "${Torch_SOURCE_DIR}/third_party/pocketfft/")
if(NOT EXISTS "${POCKETFFT_INCLUDE_DIR}")
message(FATAL_ERROR "pocketfft directory not found, expected ${POCKETFFT_INCLUDE_DIR}")
elseif(NOT EXISTS "${POCKETFFT_INCLUDE_DIR}/pocketfft_hdronly.h")
message(FATAL_ERROR "pocketfft headers not found in ${POCKETFFT_INCLUDE_DIR}")
endif()
set(AT_POCKETFFT_ENABLED 1)
message(STATUS "Using pocketfft in directory: ${POCKETFFT_INCLUDE_DIR}")
endif()
# ---[ Dependencies
# NNPACK and family (QNNPACK, PYTORCH_QNNPACK, and XNNPACK) can download and
# compile their dependencies in isolation as part of their build. These dependencies
# are then linked statically with PyTorch. To avoid the possibility of a version
# mismatch between these shared dependencies, explicitly declare our intent to these
# libraries that we are interested in using the exact same source dependencies for all.
if(USE_NNPACK OR USE_PYTORCH_QNNPACK OR USE_XNNPACK)
set(DISABLE_NNPACK_AND_FAMILY OFF)
# Sanity checks - Can we actually build NNPACK and family given the configuration provided?
# Disable them and warn the user if not.
if(IOS)
list(LENGTH IOS_ARCH IOS_ARCH_COUNT)
if(IOS_ARCH_COUNT GREATER 1)
message(WARNING
"Multi-architecture (${IOS_ARCH}) builds are not supported in {Q/X}NNPACK. "
"Specify a single architecture in IOS_ARCH and re-configure, or "
"turn this warning off by USE_{Q/X}NNPACK=OFF.")
set(DISABLE_NNPACK_AND_FAMILY ON)
endif()
if(NOT IOS_ARCH MATCHES "^(i386|x86_64|armv7.*|arm64.*)$")
message(WARNING
"Target architecture \"${IOS_ARCH}\" is not supported in {Q/X}NNPACK. "
"Supported architectures are x86, x86-64, ARM, and ARM64. "
"Turn this warning off by USE_{Q/X}NNPACK=OFF.")
set(DISABLE_NNPACK_AND_FAMILY ON)
endif()
else()
if(NOT IOS AND NOT (CMAKE_SYSTEM_NAME MATCHES "^(Android|Linux|Darwin|Windows)$"))
message(WARNING
"Target platform \"${CMAKE_SYSTEM_NAME}\" is not supported in {Q/X}NNPACK. "
"Supported platforms are Android, iOS, Linux, and macOS. "
"Turn this warning off by USE_{Q/X}NNPACK=OFF.")
set(DISABLE_NNPACK_AND_FAMILY ON)
endif()
if(NOT IOS AND NOT (CMAKE_SYSTEM_PROCESSOR MATCHES "^(i686|AMD64|x86_64|armv[0-9].*|arm64|aarch64)$"))
message(WARNING
"Target architecture \"${CMAKE_SYSTEM_PROCESSOR}\" is not supported in {Q/X}NNPACK. "
"Supported architectures are x86, x86-64, ARM, and ARM64. "
"Turn this warning off by USE_{Q/X}NNPACK=OFF.")
set(DISABLE_NNPACK_AND_FAMILY ON)
endif()
endif()
if(DISABLE_NNPACK_AND_FAMILY)
caffe2_update_option(USE_NNPACK OFF)
caffe2_update_option(USE_PYTORCH_QNNPACK OFF)
caffe2_update_option(USE_XNNPACK OFF)
else()
# Disable unsupported NNPack combinations with MSVC
if(MSVC)
caffe2_update_option(USE_NNPACK OFF)
caffe2_update_option(USE_PYTORCH_QNNPACK OFF)
endif()
set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
if(NOT DEFINED CPUINFO_SOURCE_DIR)
set(CPUINFO_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/cpuinfo" CACHE STRING "cpuinfo source directory")
endif()
if(NOT DEFINED FP16_SOURCE_DIR)
set(FP16_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/FP16" CACHE STRING "FP16 source directory")
endif()
if(NOT DEFINED FXDIV_SOURCE_DIR)
set(FXDIV_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/FXdiv" CACHE STRING "FXdiv source directory")
endif()
if(NOT DEFINED PSIMD_SOURCE_DIR)
set(PSIMD_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/psimd" CACHE STRING "PSimd source directory")
endif()
if(NOT DEFINED PTHREADPOOL_SOURCE_DIR)
set(PTHREADPOOL_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/pthreadpool" CACHE STRING "pthreadpool source directory")
endif()
endif()
else()
set(DISABLE_NNPACK_AND_FAMILY ON)
endif()
set(CONFU_DEPENDENCIES_SOURCE_DIR ${PROJECT_BINARY_DIR}/confu-srcs
CACHE PATH "Confu-style dependencies source directory")
set(CONFU_DEPENDENCIES_BINARY_DIR ${PROJECT_BINARY_DIR}/confu-deps
CACHE PATH "Confu-style dependencies binary directory")
# ---[ pthreadpool
# Only add a dependency on pthreadpool if we are on a mobile build
# or are building any of the libraries in the {Q/X}NNPACK family.
if(INTERN_BUILD_MOBILE OR NOT DISABLE_NNPACK_AND_FAMILY)
set(USE_PTHREADPOOL ON CACHE BOOL "" FORCE)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DUSE_PTHREADPOOL")
if(NOT TARGET pthreadpool)
if(USE_SYSTEM_PTHREADPOOL)
add_library(pthreadpool SHARED IMPORTED)
find_library(PTHREADPOOL_LIBRARY pthreadpool)
set_property(TARGET pthreadpool PROPERTY IMPORTED_LOCATION "${PTHREADPOOL_LIBRARY}")
if(NOT PTHREADPOOL_LIBRARY)
message(FATAL_ERROR "Cannot find pthreadpool")
endif()
message("-- Found pthreadpool: ${PTHREADPOOL_LIBRARY}")
else()
if(NOT DEFINED PTHREADPOOL_SOURCE_DIR)
set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
set(PTHREADPOOL_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/pthreadpool" CACHE STRING "pthreadpool source directory")
endif()
set(PTHREADPOOL_BUILD_TESTS OFF CACHE BOOL "")
set(PTHREADPOOL_BUILD_BENCHMARKS OFF CACHE BOOL "")
set(PTHREADPOOL_LIBRARY_TYPE "static" CACHE STRING "")
set(PTHREADPOOL_ALLOW_DEPRECATED_API ON CACHE BOOL "")
add_subdirectory(
"${PTHREADPOOL_SOURCE_DIR}"
"${CONFU_DEPENDENCIES_BINARY_DIR}/pthreadpool")
set_property(TARGET pthreadpool PROPERTY POSITION_INDEPENDENT_CODE ON)
endif()
list(APPEND Caffe2_DEPENDENCY_LIBS pthreadpool)
endif()
else()
set(USE_PTHREADPOOL OFF CACHE BOOL "" FORCE)
endif()
if(NOT CMAKE_SYSTEM_PROCESSOR MATCHES "^(s390x|ppc64le)$")
# ---[ Caffe2 uses cpuinfo library in the thread pool
# ---[ But it doesn't support s390x/powerpc and thus not used on s390x/powerpc
if(NOT TARGET cpuinfo AND USE_SYSTEM_CPUINFO)
add_library(cpuinfo SHARED IMPORTED)
find_library(CPUINFO_LIBRARY cpuinfo)
if(NOT CPUINFO_LIBRARY)
message(FATAL_ERROR "Cannot find cpuinfo")
endif()
message("Found cpuinfo: ${CPUINFO_LIBRARY}")
set_target_properties(cpuinfo PROPERTIES IMPORTED_LOCATION "${CPUINFO_LIBRARY}")
elseif(NOT TARGET cpuinfo)
if(NOT DEFINED CPUINFO_SOURCE_DIR)
set(CPUINFO_SOURCE_DIR "${CMAKE_CURRENT_LIST_DIR}/../third_party/cpuinfo" CACHE STRING "cpuinfo source directory")
endif()
set(CPUINFO_BUILD_TOOLS OFF CACHE BOOL "")
set(CPUINFO_BUILD_UNIT_TESTS OFF CACHE BOOL "")
set(CPUINFO_BUILD_MOCK_TESTS OFF CACHE BOOL "")
set(CPUINFO_BUILD_BENCHMARKS OFF CACHE BOOL "")
set(CPUINFO_LIBRARY_TYPE "static" CACHE STRING "")
set(CPUINFO_LOG_LEVEL "error" CACHE STRING "")
if(MSVC)
if(CAFFE2_USE_MSVC_STATIC_RUNTIME)
set(CPUINFO_RUNTIME_TYPE "static" CACHE STRING "")
else()
set(CPUINFO_RUNTIME_TYPE "shared" CACHE STRING "")
endif()
endif()
add_subdirectory(
"${CPUINFO_SOURCE_DIR}"
"${CONFU_DEPENDENCIES_BINARY_DIR}/cpuinfo")
# We build static version of cpuinfo but link
# them into a shared library for Caffe2, so they need PIC.
set_property(TARGET cpuinfo PROPERTY POSITION_INDEPENDENT_CODE ON)
endif()
list(APPEND Caffe2_DEPENDENCY_LIBS cpuinfo)
endif()
# ---[ PYTORCH_QNNPACK
set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
if(USE_PYTORCH_QNNPACK)
if(NOT DEFINED PYTORCH_QNNPACK_SOURCE_DIR)
set(PYTORCH_QNNPACK_SOURCE_DIR "${PROJECT_SOURCE_DIR}/aten/src/ATen/native/quantized/cpu/qnnpack" CACHE STRING "QNNPACK source directory")
endif()
if(NOT TARGET pytorch_qnnpack)
set(PYTORCH_QNNPACK_BUILD_TESTS OFF CACHE BOOL "")
set(PYTORCH_QNNPACK_BUILD_BENCHMARKS OFF CACHE BOOL "")
set(PYTORCH_QNNPACK_LIBRARY_TYPE "static" CACHE STRING "")
add_subdirectory(
"${PYTORCH_QNNPACK_SOURCE_DIR}"
"${CONFU_DEPENDENCIES_BINARY_DIR}/pytorch_qnnpack")
# We build static versions of QNNPACK and pthreadpool but link
# them into a shared library for Caffe2, so they need PIC.
set_property(TARGET pytorch_qnnpack PROPERTY POSITION_INDEPENDENT_CODE ON)
set_property(TARGET cpuinfo PROPERTY POSITION_INDEPENDENT_CODE ON)
# QNNPACK depends on gemmlowp headers
target_include_directories(pytorch_qnnpack PRIVATE "${CAFFE2_THIRD_PARTY_ROOT}/gemmlowp")
endif()
list(APPEND Caffe2_DEPENDENCY_LIBS pytorch_qnnpack)
endif()
# ---[ NNPACK
if(USE_NNPACK)
include(${CMAKE_CURRENT_LIST_DIR}/External/nnpack.cmake)
if(NNPACK_FOUND)
if(TARGET nnpack)
# ---[ NNPACK is being built together with Caffe2: explicitly specify dependency
list(APPEND Caffe2_DEPENDENCY_LIBS nnpack)
else()
include_directories(SYSTEM ${NNPACK_INCLUDE_DIRS})
list(APPEND Caffe2_DEPENDENCY_LIBS ${NNPACK_LIBRARIES})
endif()
else()
message(WARNING "Not compiling with NNPACK. Suppress this warning with -DUSE_NNPACK=OFF")
caffe2_update_option(USE_NNPACK OFF)
endif()
endif()
# ---[ XNNPACK
if(USE_XNNPACK AND NOT USE_SYSTEM_XNNPACK)
if(NOT DEFINED XNNPACK_SOURCE_DIR)
set(XNNPACK_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/XNNPACK" CACHE STRING "XNNPACK source directory")
endif()
if(NOT DEFINED XNNPACK_INCLUDE_DIR)
set(XNNPACK_INCLUDE_DIR "${XNNPACK_SOURCE_DIR}/include" CACHE STRING "XNNPACK include directory")
endif()
if(NOT TARGET XNNPACK OR NOT TARGET microkernels-prod)
set(XNNPACK_LIBRARY_TYPE "static" CACHE STRING "")
set(XNNPACK_BUILD_BENCHMARKS OFF CACHE BOOL "")
set(XNNPACK_BUILD_TESTS OFF CACHE BOOL "")
# Disable ARM BF16 and FP16 vector for now; unused and causes build failures because
# these new ISA features may not be supported on older compilers
set(XNNPACK_ENABLE_ARM_BF16 OFF CACHE BOOL "")
# Disable AVXVNNI for now, older clang versions seem not to support it
# (clang 12 is where avx-vnni support is added)
set(XNNPACK_ENABLE_AVXVNNI OFF CACHE BOOL "")
# Disable I8MM For CI since clang 9 does not support neon i8mm.
set(XNNPACK_ENABLE_ARM_I8MM OFF CACHE BOOL "")
# Disable avxvnni int8
set(XNNPACK_ENABLE_AVXVNNIINT8 OFF CACHE BOOL "")
# Older MSVC versions don't support AVX512FP. TODO Minimum version support?
IF(CMAKE_C_COMPILER_ID STREQUAL "MSVC")
set(XNNPACK_ENABLE_AVX512FP16 OFF CACHE BOOL "")
ENDIF()
# Conditionally disable AVX512AMX, as it requires Clang 11 or later. Note that
# XNNPACK does conditionally compile this based on GCC version. Once it also does
# so based on Clang version, this logic can be removed.
IF(CMAKE_C_COMPILER_ID STREQUAL "Clang")
IF(CMAKE_C_COMPILER_VERSION VERSION_LESS "11")
set(XNNPACK_ENABLE_AVX512AMX OFF CACHE BOOL "")
ENDIF()
ENDIF()
# Setting this global PIC flag for all XNNPACK targets.
# This is needed for Object libraries within XNNPACK which must
# be PIC to successfully link this static libXNNPACK with pytorch
set(__caffe2_CMAKE_POSITION_INDEPENDENT_CODE_FLAG ${CMAKE_POSITION_INDEPENDENT_CODE})
set(CMAKE_POSITION_INDEPENDENT_CODE ON)
if(WIN32)
# Disable libm dependency explicitly to avoid symbol conflict for XNNPACK as
# Windows runtime has provided the math functions - #134989
set(XNNPACK_BUILD_WITH_LIBM OFF CACHE BOOL "")
endif()
add_subdirectory(
"${XNNPACK_SOURCE_DIR}"
"${CONFU_DEPENDENCIES_BINARY_DIR}/XNNPACK")
# Revert to whatever it was before
set(CMAKE_POSITION_INDEPENDENT_CODE ${__caffe2_CMAKE_POSITION_INDEPENDENT_CODE_FLAG})
endif()
include_directories(SYSTEM ${XNNPACK_INCLUDE_DIR})
list(APPEND Caffe2_DEPENDENCY_LIBS XNNPACK microkernels-prod)
elseif(NOT TARGET XNNPACK AND USE_SYSTEM_XNNPACK)
add_library(XNNPACK SHARED IMPORTED)
add_library(microkernels-prod SHARED IMPORTED)
find_library(XNNPACK_LIBRARY XNNPACK)
find_library(microkernels-prod_LIBRARY microkernels-prod)
set_property(TARGET XNNPACK PROPERTY IMPORTED_LOCATION "${XNNPACK_LIBRARY}")
set_property(TARGET microkernels-prod PROPERTY IMPORTED_LOCATION "${microkernels-prod_LIBRARY}")
if(NOT XNNPACK_LIBRARY OR NOT microkernels-prod_LIBRARY)
message(FATAL_ERROR "Cannot find XNNPACK")
endif()
message("-- Found XNNPACK: ${XNNPACK_LIBRARY}")
list(APPEND Caffe2_DEPENDENCY_LIBS XNNPACK microkernels-prod)
endif()
# ---[ Vulkan deps
if(USE_VULKAN)
set(Vulkan_DEFINES)
set(Vulkan_INCLUDES)
set(Vulkan_LIBS)
include(${CMAKE_CURRENT_LIST_DIR}/VulkanDependencies.cmake)
string(APPEND CMAKE_CXX_FLAGS ${Vulkan_DEFINES})
include_directories(SYSTEM ${Vulkan_INCLUDES})
list(APPEND Caffe2_DEPENDENCY_LIBS ${Vulkan_LIBS})
endif()
# ---[ gflags
if(USE_GFLAGS)
include(${CMAKE_CURRENT_LIST_DIR}/public/gflags.cmake)
if(NOT TARGET gflags)
message(WARNING
"gflags is not found. Caffe2 will build without gflags support but "
"it is strongly recommended that you install gflags. Suppress this "
"warning with -DUSE_GFLAGS=OFF")
caffe2_update_option(USE_GFLAGS OFF)
endif()
endif()
# ---[ Google-glog
if(USE_GLOG)
include(${CMAKE_CURRENT_LIST_DIR}/public/glog.cmake)
if(TARGET glog::glog)
set(CAFFE2_USE_GOOGLE_GLOG 1)
else()
message(WARNING
"glog is not found. Caffe2 will build without glog support but it is "
"strongly recommended that you install glog. Suppress this warning "
"with -DUSE_GLOG=OFF")
caffe2_update_option(USE_GLOG OFF)
endif()
endif()
# ---[ Googletest and benchmark
if(BUILD_TEST OR BUILD_MOBILE_BENCHMARK OR BUILD_MOBILE_TEST)
# Preserve build options.
set(TEMP_BUILD_SHARED_LIBS ${BUILD_SHARED_LIBS})
# We will build gtest as static libs and embed it directly into the binary.
set(BUILD_SHARED_LIBS OFF CACHE BOOL "Build shared libs" FORCE)
# For gtest, we will simply embed it into our test binaries, so we won't
# need to install it.
set(INSTALL_GTEST OFF CACHE BOOL "Install gtest." FORCE)
set(BUILD_GMOCK ON CACHE BOOL "Build gmock." FORCE)
add_subdirectory(${CMAKE_CURRENT_LIST_DIR}/../third_party/googletest)
include_directories(BEFORE SYSTEM ${CMAKE_CURRENT_LIST_DIR}/../third_party/googletest/googletest/include)
include_directories(BEFORE SYSTEM ${CMAKE_CURRENT_LIST_DIR}/../third_party/googletest/googlemock/include)
# We will not need to test benchmark lib itself.
set(BENCHMARK_ENABLE_TESTING OFF CACHE BOOL "Disable benchmark testing as we don't need it.")
# We will not need to install benchmark since we link it statically.
set(BENCHMARK_ENABLE_INSTALL OFF CACHE BOOL "Disable benchmark install to avoid overwriting vendor install.")
if(NOT USE_SYSTEM_BENCHMARK)
add_subdirectory(${CMAKE_CURRENT_LIST_DIR}/../third_party/benchmark)
else()
add_library(benchmark SHARED IMPORTED)
find_library(BENCHMARK_LIBRARY benchmark)
if(NOT BENCHMARK_LIBRARY)
message(FATAL_ERROR "Cannot find google benchmark library")
endif()
message("-- Found benchmark: ${BENCHMARK_LIBRARY}")
set_property(TARGET benchmark PROPERTY IMPORTED_LOCATION ${BENCHMARK_LIBRARY})
endif()
# Recover build options.
set(BUILD_SHARED_LIBS ${TEMP_BUILD_SHARED_LIBS} CACHE BOOL "Build shared libs" FORCE)
endif()
# ---[ FBGEMM
if(USE_FBGEMM)
set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
if(NOT DEFINED FBGEMM_SOURCE_DIR)
set(FBGEMM_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/fbgemm" CACHE STRING "FBGEMM source directory")
endif()
if(USE_FBGEMM AND NOT TARGET fbgemm)
set(FBGEMM_BUILD_TESTS OFF CACHE BOOL "")
set(FBGEMM_BUILD_BENCHMARKS OFF CACHE BOOL "")
set(FBGEMM_LIBRARY_TYPE "static" CACHE STRING "")
add_subdirectory("${FBGEMM_SOURCE_DIR}")
if(CMAKE_CXX_COMPILER_ID MATCHES "Clang")
target_compile_options_if_supported(asmjit -Wno-extra-semi)
target_compile_options_if_supported(fbgemm -Wno-extra-semi)
endif()
target_compile_options_if_supported(asmjit -Wno-unused-but-set-variable)
target_compile_options_if_supported(asmjit -Wno-unused-variable)
endif()
if(USE_FBGEMM)
list(APPEND Caffe2_DEPENDENCY_LIBS fbgemm)
endif()
endif()
if(USE_FBGEMM)
caffe2_update_option(USE_FBGEMM ON)
else()
caffe2_update_option(USE_FBGEMM OFF)
endif()
if(USE_OPENCL)
message(INFO "USING OPENCL")
find_package(OpenCL REQUIRED)
include_directories(SYSTEM ${OpenCL_INCLUDE_DIRS})
list(APPEND Caffe2_DEPENDENCY_LIBS ${OpenCL_LIBRARIES})
endif()
# ---[ NUMA
if(USE_NUMA)
if(LINUX)
find_package(Numa)
if(NOT NUMA_FOUND)
message(WARNING "Not compiling with NUMA. Suppress this warning with -DUSE_NUMA=OFF")
caffe2_update_option(USE_NUMA OFF)
endif()
else()
message(WARNING "NUMA is currently only supported under Linux.")
caffe2_update_option(USE_NUMA OFF)
endif()
endif()
if(USE_ITT)
find_package(ITT)
if(ITT_FOUND)
include_directories(SYSTEM ${ITT_INCLUDE_DIR})
list(APPEND Caffe2_DEPENDENCY_LIBS ${ITT_LIBRARIES})
list(APPEND TORCH_PYTHON_LINK_LIBRARIES ${ITT_LIBRARIES})
else()
message(WARNING "Not compiling with ITT. Suppress this warning with -DUSE_ITT=OFF")
set(USE_ITT OFF CACHE BOOL "" FORCE)
caffe2_update_option(USE_ITT OFF)
endif()
endif()
# ---[ Caffe2 depends on FP16 library for half-precision conversions
if(NOT TARGET fp16 AND NOT USE_SYSTEM_FP16)
set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
# PSIMD is required by FP16
if(NOT DEFINED PSIMD_SOURCE_DIR)
set(PSIMD_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/psimd" CACHE STRING "PSimd source directory")
endif()
if(NOT DEFINED FP16_SOURCE_DIR)
set(FP16_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/FP16" CACHE STRING "FP16 source directory")
endif()
set(FP16_BUILD_TESTS OFF CACHE BOOL "")
set(FP16_BUILD_BENCHMARKS OFF CACHE BOOL "")
if(CMAKE_VERSION VERSION_GREATER_EQUAL "4.0.0")
message(WARNING "FP16 is only cmake-2.8 compatible")
set(CMAKE_POLICY_VERSION_MINIMUM 3.5)
add_subdirectory(
"${FP16_SOURCE_DIR}"
"${CONFU_DEPENDENCIES_BINARY_DIR}/FP16")
unset(CMAKE_POLICY_VERSION_MINIMUM)
else()
add_subdirectory(
"${FP16_SOURCE_DIR}"
"${CONFU_DEPENDENCIES_BINARY_DIR}/FP16")
endif()
elseif(NOT TARGET fp16 AND USE_SYSTEM_FP16)
add_library(fp16 STATIC "/usr/include/fp16.h")
set_target_properties(fp16 PROPERTIES LINKER_LANGUAGE C)
endif()
list(APPEND Caffe2_DEPENDENCY_LIBS fp16)
# ---[ Python Interpreter
# If not given a Python installation, then use the current active Python
if(NOT Python_EXECUTABLE)
execute_process(
COMMAND "which" "python3" RESULT_VARIABLE _exitcode OUTPUT_VARIABLE _py_exe)
if(${_exitcode} EQUAL 0)
if(NOT MSVC)
string(STRIP ${_py_exe} Python_EXECUTABLE)
endif()
message(STATUS "Setting Python to ${Python_EXECUTABLE}")
endif()
endif()
# ---[ EIGEN
# Due to license considerations, we will only use the MPL2 parts of Eigen.
set(EIGEN_MPL2_ONLY 1)
if(USE_SYSTEM_EIGEN_INSTALL)
find_package(Eigen3)
if(EIGEN3_FOUND)
message(STATUS "Found system Eigen at " ${EIGEN3_INCLUDE_DIR})
else()
message(STATUS "Did not find system Eigen. Using third party subdirectory.")
execute_process(COMMAND ${Python_EXECUTABLE} ../tools/optional_modules.py checkout_eigen
WORKING_DIRECTORY ${CMAKE_CURRENT_LIST_DIR})
set(EIGEN3_INCLUDE_DIR ${CMAKE_CURRENT_LIST_DIR}/../third_party/eigen)
caffe2_update_option(USE_SYSTEM_EIGEN_INSTALL OFF)
endif()
else()
message(STATUS "Using third party subdirectory Eigen.")
set(EIGEN3_INCLUDE_DIR ${CMAKE_CURRENT_LIST_DIR}/../third_party/eigen)
endif()
include_directories(SYSTEM ${EIGEN3_INCLUDE_DIR})
if(BUILD_PYTHON)
set(PYTHON_COMPONENTS Development.Module)
if(USE_NUMPY)
list(APPEND PYTHON_COMPONENTS NumPy)
endif()
find_package(Python COMPONENTS Interpreter OPTIONAL_COMPONENTS ${PYTHON_COMPONENTS})
else()
find_package(Python COMPONENTS Interpreter)
endif()
if(NOT Python_Interpreter_FOUND)
message(FATAL_ERROR "Python3 could not be found.")
endif()
if(${Python_VERSION} VERSION_LESS 3.9)
message(FATAL_ERROR
"Found Python libraries version ${Python_VERSION}. Python < 3.9 is no longer supported by PyTorch.")
endif()
# ---[ Python + Numpy
if(BUILD_PYTHON)
if(Python_Development.Module_FOUND)
if(USE_NUMPY)
if(NOT Python_NumPy_FOUND)
message(WARNING "NumPy could not be found. Not building with NumPy. Suppress this warning with -DUSE_NUMPY=OFF")
caffe2_update_option(USE_NUMPY OFF)
else()
caffe2_update_option(USE_NUMPY ON)
endif()
endif()
# Observers are required in the python build
caffe2_update_option(USE_OBSERVERS ON)
else()
message(WARNING "Python dependencies not met. Not compiling with python. Suppress this warning with -DBUILD_PYTHON=OFF")
caffe2_update_option(BUILD_PYTHON OFF)
endif()
endif()
# ---[ pybind11
if(USE_SYSTEM_PYBIND11)
find_package(pybind11 CONFIG)
if(NOT pybind11_FOUND)
find_package(pybind11)
endif()
if(NOT pybind11_FOUND)
message(FATAL "Cannot find system pybind11")
endif()
else()
message(STATUS "Using third_party/pybind11.")
set(pybind11_INCLUDE_DIRS ${CMAKE_CURRENT_LIST_DIR}/../third_party/pybind11/include)
install(DIRECTORY ${pybind11_INCLUDE_DIRS}
DESTINATION ${CMAKE_INSTALL_PREFIX}
FILES_MATCHING PATTERN "*.h")
endif()
message(STATUS "pybind11 include dirs: " "${pybind11_INCLUDE_DIRS}")
add_library(pybind::pybind11 INTERFACE IMPORTED)
target_include_directories(pybind::pybind11 SYSTEM INTERFACE ${pybind11_INCLUDE_DIRS})
target_link_libraries(pybind::pybind11 INTERFACE Python::Module)
# ---[ OpenTelemetry API headers
find_package(OpenTelemetryApi)
if(NOT OpenTelemetryApi_FOUND)
message(STATUS "Using third_party/opentelemetry-cpp.")
set(OpenTelemetryApi_INCLUDE_DIRS ${CMAKE_CURRENT_LIST_DIR}/../third_party/opentelemetry-cpp/api/include)
endif()
message(STATUS "opentelemetry api include dirs: " "${OpenTelemetryApi_INCLUDE_DIRS}")
add_library(opentelemetry::api INTERFACE IMPORTED)
target_include_directories(opentelemetry::api SYSTEM INTERFACE ${OpenTelemetryApi_INCLUDE_DIRS})
# ---[ MPI
if(USE_MPI)
find_package(MPI)
if(MPI_CXX_FOUND)
message(STATUS "MPI support found")
message(STATUS "MPI compile flags: " ${MPI_CXX_COMPILE_FLAGS})
message(STATUS "MPI include path: " ${MPI_CXX_INCLUDE_PATH})
message(STATUS "MPI LINK flags path: " ${MPI_CXX_LINK_FLAGS})
message(STATUS "MPI libraries: " ${MPI_CXX_LIBRARIES})
find_program(OMPI_INFO
NAMES ompi_info
HINTS ${MPI_CXX_LIBRARIES}/../bin)
if(OMPI_INFO)
execute_process(COMMAND ${OMPI_INFO}
OUTPUT_VARIABLE _output)
if(_output MATCHES "smcuda")
message(STATUS "Found OpenMPI with CUDA support built.")
else()
message(WARNING "OpenMPI found, but it is not built with CUDA support.")
set(CAFFE2_FORCE_FALLBACK_CUDA_MPI 1)
endif()
endif()
else()
message(WARNING "Not compiling with MPI. Suppress this warning with -DUSE_MPI=OFF")
caffe2_update_option(USE_MPI OFF)
endif()
endif()
# ---[ OpenMP
if(USE_OPENMP AND NOT TARGET caffe2::openmp)
include(${CMAKE_CURRENT_LIST_DIR}/Modules/FindOpenMP.cmake)
if(OPENMP_FOUND)
message(STATUS "Adding OpenMP CXX_FLAGS: " ${OpenMP_CXX_FLAGS})
if(APPLE AND USE_MPS)
string(APPEND CMAKE_OBJCXX_FLAGS " ${OpenMP_CXX_FLAGS}")
endif()
if(OpenMP_CXX_LIBRARIES)
message(STATUS "Will link against OpenMP libraries: ${OpenMP_CXX_LIBRARIES}")
endif()
add_library(caffe2::openmp INTERFACE IMPORTED)
target_link_libraries(caffe2::openmp INTERFACE OpenMP::OpenMP_CXX)
list(APPEND Caffe2_DEPENDENCY_LIBS caffe2::openmp)
if(MSVC AND OpenMP_CXX_LIBRARIES MATCHES ".*libiomp5md\\.lib.*")
target_compile_definitions(caffe2::openmp INTERFACE _OPENMP_NOFORCE_MANIFEST)
target_link_options(caffe2::openmp INTERFACE "/NODEFAULTLIB:vcomp")
endif()
else()
message(WARNING "Not compiling with OpenMP. Suppress this warning with -DUSE_OPENMP=OFF")
caffe2_update_option(USE_OPENMP OFF)
endif()
endif()
# ---[ Android specific ones
if(ANDROID)
list(APPEND Caffe2_DEPENDENCY_LIBS log)
endif()
# ---[ LLVM
if(USE_LLVM)
message(STATUS "Looking for LLVM in ${USE_LLVM}")
find_package(LLVM PATHS ${USE_LLVM} NO_DEFAULT_PATH)
if(LLVM_FOUND)
message(STATUS "Found LLVM ${LLVM_PACKAGE_VERSION}")
message(STATUS "Using LLVMConfig.cmake in: ${LLVM_DIR}")
include_directories(${LLVM_INCLUDE_DIRS})
add_definitions(-DTORCH_ENABLE_LLVM)
endif(LLVM_FOUND)
endif(USE_LLVM)
# ---[ cuDNN
if(USE_CUDNN)
if(CUDNN_VERSION VERSION_LESS 8.5)
message(FATAL_ERROR "PyTorch needs CuDNN-8.5 or above, but found ${CUDNN_VERSION}. Builds are still possible with `USE_CUDNN=0`")
endif()
set(CUDNN_FRONTEND_INCLUDE_DIR ${CMAKE_CURRENT_LIST_DIR}/../third_party/cudnn_frontend/include)
target_include_directories(torch::cudnn INTERFACE ${CUDNN_FRONTEND_INCLUDE_DIR})
endif()
# ---[ nvtx
if(USE_SYSTEM_NVTX)
find_path(nvtx3_dir NAMES nvtx3 PATHS ${CUDA_INCLUDE_DIRS})
else()
find_path(nvtx3_dir NAMES nvtx3 PATHS "${PROJECT_SOURCE_DIR}/third_party/NVTX/c/include" NO_DEFAULT_PATH)
endif()
find_package_handle_standard_args(nvtx3 DEFAULT_MSG nvtx3_dir)
if(nvtx3_FOUND)
add_library(torch::nvtx3 INTERFACE IMPORTED)
target_include_directories(torch::nvtx3 INTERFACE "${nvtx3_dir}")
target_compile_definitions(torch::nvtx3 INTERFACE TORCH_CUDA_USE_NVTX3)
else()
message(WARNING "Cannot find NVTX3, find old NVTX instead")
add_library(torch::nvtoolsext INTERFACE IMPORTED)
set_property(TARGET torch::nvtoolsext PROPERTY INTERFACE_LINK_LIBRARIES CUDA::nvToolsExt)
endif()
# ---[ HIP
if(USE_ROCM)
include(${CMAKE_CURRENT_LIST_DIR}/public/LoadHIP.cmake)
if(PYTORCH_FOUND_HIP)
message(INFO "Compiling with HIP for AMD.")
caffe2_update_option(USE_ROCM ON)
if(USE_NCCL AND NOT USE_SYSTEM_NCCL)
message(INFO "Forcing USE_SYSTEM_NCCL to ON since it's required by using RCCL")
caffe2_update_option(USE_SYSTEM_NCCL ON)
endif()
if(WIN32)
if(${CAFFE2_USE_MSVC_STATIC_RUNTIME})
if(CMAKE_BUILD_TYPE MATCHES Debug)
list(APPEND HIP_CXX_FLAGS -fms-runtime-lib=static_dbg)
else()
list(APPEND HIP_CXX_FLAGS -fms-runtime-lib=static)
endif()
else()
if(CMAKE_BUILD_TYPE MATCHES Debug)
list(APPEND HIP_CXX_FLAGS -fms-runtime-lib=dll_dbg)
else()
list(APPEND HIP_CXX_FLAGS -fms-runtime-lib=dll)
endif()
endif()
else()
list(APPEND HIP_CXX_FLAGS -fPIC)
endif()
list(APPEND HIP_CXX_FLAGS -D__HIP_PLATFORM_AMD__=1)
list(APPEND HIP_CXX_FLAGS -DCUDA_HAS_FP16=1)
list(APPEND HIP_CXX_FLAGS -DUSE_ROCM)
list(APPEND HIP_CXX_FLAGS -D__HIP_NO_HALF_OPERATORS__=1)
list(APPEND HIP_CXX_FLAGS -D__HIP_NO_HALF_CONVERSIONS__=1)
list(APPEND HIP_CXX_FLAGS -DTORCH_HIP_VERSION=${TORCH_HIP_VERSION})
list(APPEND HIP_CXX_FLAGS -Wno-shift-count-negative)
list(APPEND HIP_CXX_FLAGS -Wno-shift-count-overflow)
list(APPEND HIP_CXX_FLAGS -Wno-duplicate-decl-specifier)
list(APPEND HIP_CXX_FLAGS -DCAFFE2_USE_MIOPEN)
list(APPEND HIP_CXX_FLAGS -DTHRUST_DEVICE_SYSTEM=THRUST_DEVICE_SYSTEM_HIP)
list(APPEND HIP_CXX_FLAGS -std=c++17)
list(APPEND HIP_CXX_FLAGS -DHIPBLAS_V2)
list(APPEND HIP_CXX_FLAGS -DHIP_ENABLE_WARP_SYNC_BUILTINS)
if(HIPBLASLT_OUTER_VEC)
list(APPEND HIP_CXX_FLAGS -DHIPBLASLT_OUTER_VEC)
endif()
if(HIPBLASLT_VEC_EXT)
list(APPEND HIP_CXX_FLAGS -DHIPBLASLT_VEC_EXT)
endif()
if(USE_ROCM_CK_GEMM)
list(APPEND HIP_CXX_FLAGS -DUSE_ROCM_CK_GEMM)
endif()
list(APPEND HIP_HIPCC_FLAGS --offload-compress)
if(WIN32)
add_definitions(-DROCM_ON_WINDOWS)
list(APPEND HIP_CXX_FLAGS -fms-extensions)
# Suppress warnings about dllexport.
list(APPEND HIP_CXX_FLAGS -Wno-ignored-attributes)
endif()
add_definitions(-DROCM_VERSION=${ROCM_VERSION_DEV_INT})
add_definitions(-DTORCH_HIP_VERSION=${TORCH_HIP_VERSION})
message("TORCH_HIP_VERSION=${TORCH_HIP_VERSION} is added as a compiler defines")
if(CMAKE_BUILD_TYPE MATCHES Debug)
list(APPEND HIP_CXX_FLAGS -g2)
list(APPEND HIP_CXX_FLAGS -O0)
list(APPEND HIP_HIPCC_FLAGS -fdebug-info-for-profiling)
endif(CMAKE_BUILD_TYPE MATCHES Debug)
# needed for compat with newer versions of hip-clang that introduced C++20 mangling rules
list(APPEND HIP_HIPCC_FLAGS -fclang-abi-compat=17)
set(HIP_CLANG_FLAGS ${HIP_CXX_FLAGS})
# Ask hcc to generate device code during compilation so we can use
# host linker to link.
list(APPEND HIP_CLANG_FLAGS -fno-gpu-rdc)
foreach(pytorch_rocm_arch ${PYTORCH_ROCM_ARCH})
list(APPEND HIP_CLANG_FLAGS --offload-arch=${pytorch_rocm_arch})
endforeach()
set(Caffe2_HIP_INCLUDE
$<INSTALL_INTERFACE:include> ${Caffe2_HIP_INCLUDE})
# This is needed for library added by hip_add_library (same for hip_add_executable)
hip_include_directories(${Caffe2_HIP_INCLUDE})
set(Caffe2_PUBLIC_HIP_DEPENDENCY_LIBS
hip::amdhip64 MIOpen hiprtc::hiprtc) # libroctx will be linked in with MIOpen
# Math libraries
list(APPEND Caffe2_PUBLIC_HIP_DEPENDENCY_LIBS
roc::hipblas roc::rocblas hip::hipfft hip::hiprand roc::hipsparse roc::hipsolver roc::hipblaslt roc::rocsolver)
# hipsparselt is an optional component that will eventually be enabled by default.
if(hipsparselt_FOUND)
list(APPEND Caffe2_PUBLIC_HIP_DEPENDENCY_LIBS
roc::hipsparselt
)
endif()
# ---[ Kernel asserts
# Kernel asserts is disabled for ROCm by default.
# It can be turned on by turning on the env USE_ROCM_KERNEL_ASSERT to the build system.
if(USE_ROCM_KERNEL_ASSERT)
message(STATUS "Enabling Kernel Assert for ROCm")
else()
message(STATUS "Disabling Kernel Assert for ROCm")
endif()
else()
caffe2_update_option(USE_ROCM OFF)
endif()
endif()
# ---[ NCCL
if(USE_NCCL)
if(NOT (USE_CUDA OR USE_ROCM))
message(WARNING
"Not using CUDA/ROCM, so disabling USE_NCCL. Suppress this warning with "
"-DUSE_NCCL=OFF.")
caffe2_update_option(USE_NCCL OFF)
elseif(NOT CMAKE_SYSTEM_NAME STREQUAL "Linux")
message(WARNING "NCCL is currently only supported under Linux.")
caffe2_update_option(USE_NCCL OFF)
elseif(USE_CUDA)
include(${CMAKE_CURRENT_LIST_DIR}/External/nccl.cmake)
list(APPEND Caffe2_CUDA_DEPENDENCY_LIBS __caffe2_nccl)
elseif(USE_ROCM)
include(${CMAKE_CURRENT_LIST_DIR}/External/rccl.cmake)
list(APPEND Caffe2_CUDA_DEPENDENCY_LIBS __caffe2_nccl)
endif()
endif()
# ---[ XCCL
if(USE_XCCL)
if(NOT USE_XPU)
message(WARNING "Not using XPU, so disabling USE_XCCL. Suppress this warning with -DUSE_XCCL=OFF.")
caffe2_update_option(USE_XCCL OFF)
endif()
endif()
# ---[ UCC
if(USE_UCC)
if(NOT CMAKE_SYSTEM_NAME STREQUAL "Linux")
message(WARNING "UCC is currently only supported under Linux.")
caffe2_update_option(USE_UCC OFF)
else()
include(${CMAKE_CURRENT_LIST_DIR}/External/ucc.cmake)
endif()
endif()
# ---[ CUB
if(USE_CUDA AND CUDA_VERSION VERSION_LESS 13.0)
find_package(CUB)
if(NOT CUB_FOUND)
message(FATAL_ERROR "Cannot find CUB.")
endif()
include_directories(SYSTEM ${CUB_INCLUDE_DIRS})
endif()
if(USE_TENSORPIPE)
if(MSVC)
message(WARNING "Tensorpipe cannot be used on Windows.")
else()
if(USE_CUDA)
set(TP_USE_CUDA ON CACHE BOOL "" FORCE)
set(TP_ENABLE_CUDA_IPC ON CACHE BOOL "" FORCE)
endif()
set(TP_BUILD_LIBUV ON CACHE BOOL "" FORCE)
add_compile_options(-DTORCH_USE_LIBUV)
include_directories(BEFORE SYSTEM ${CMAKE_CURRENT_LIST_DIR}/../third_party/tensorpipe/third_party/libuv/include)
set(TP_STATIC_OR_SHARED STATIC CACHE STRING "" FORCE)
# Tensorpipe uses cuda_add_library
torch_update_find_cuda_flags()
add_subdirectory(${PROJECT_SOURCE_DIR}/third_party/tensorpipe)
# Suppress warning to unblock libnop compilation by clang-17
# See https://github.com/pytorch/pytorch/issues/151316
target_compile_options_if_supported(tensorpipe -Wno-missing-template-arg-list-after-template-kw)
list(APPEND Caffe2_DEPENDENCY_LIBS tensorpipe)
list(APPEND Caffe2_DEPENDENCY_LIBS nlohmann)
list(APPEND Caffe2_DEPENDENCY_LIBS moodycamel)
if(USE_CUDA)
list(APPEND Caffe2_CUDA_DEPENDENCY_LIBS tensorpipe_cuda)
elseif(USE_ROCM)
message(WARNING "TensorPipe doesn't yet support ROCm")
# Not yet...
# list(APPEND Caffe2_HIP_DEPENDENCY_LIBS tensorpipe_hip)
endif()
endif()
endif()
if(USE_GLOO)
if(NOT CMAKE_SIZEOF_VOID_P EQUAL 8)
message(WARNING "Gloo can only be used on 64-bit systems.")
caffe2_update_option(USE_GLOO OFF)
else()
# Don't install gloo
set(GLOO_INSTALL OFF CACHE BOOL "" FORCE)
set(GLOO_STATIC_OR_SHARED STATIC CACHE STRING "" FORCE)
if(USE_GLOO_IBVERBS)
set(USE_IBVERBS ON)
endif()
# Build BFloat16 cuda kernels
set(GLOO_USE_TORCH_DTYPES 1)
set(GLOO_TORCH_DIR ${PROJECT_SOURCE_DIR} ${CMAKE_BINARY_DIR})
# Temporarily override variables to avoid building Gloo tests/benchmarks
set(__BUILD_TEST ${BUILD_TEST})
set(__BUILD_BENCHMARK ${BUILD_BENCHMARK})
set(BUILD_TEST OFF)
set(BUILD_BENCHMARK OFF)
if(USE_ROCM)
set(ENV{GLOO_ROCM_ARCH} "${PYTORCH_ROCM_ARCH}")
endif()
if(NOT USE_SYSTEM_GLOO)
if(USE_DISTRIBUED AND USE_TENSORPIPE)
get_target_property(_include_dirs uv_a INCLUDE_DIRECTORIES)
set_target_properties(uv_a PROPERTIES INTERFACE_INCLUDE_DIRECTORIES "${_include_dirs}")
endif()
set(GLOO_USE_CUDA_TOOLKIT ON CACHE BOOL "" FORCE)
# Disable NCCL/RCCL since we don't use Gloo+NCCL, make sure to re-enable it!
set(USE_NCCL_SAVED ${USE_NCCL})
set(USE_RCCL_SAVED ${USE_RCCL})
set(USE_NCCL OFF)
set(USE_RCCL OFF)
add_subdirectory(${CMAKE_CURRENT_LIST_DIR}/../third_party/gloo)
set(USE_NCCL ${USE_NCCL_SAVED})
set(USE_RCCL ${USE_RCCL_SAVED})
# Here is a little bit hacky. We have to put PROJECT_BINARY_DIR in front
# of PROJECT_SOURCE_DIR with/without conda system. The reason is that
# gloo generates a new config.h in the binary directory.
include_directories(BEFORE SYSTEM ${CMAKE_CURRENT_LIST_DIR}/../third_party/gloo)
include_directories(BEFORE SYSTEM ${PROJECT_BINARY_DIR}/third_party/gloo)
else()
find_package(Gloo)
if(NOT Gloo_FOUND)
message(FATAL_ERROR "Cannot find gloo")
endif()
message("Found gloo: ${Gloo_NATIVE_LIBRARY}, cuda lib: ${Gloo_CUDA_LIBRARY}, hip lib: ${Gloo_HIP_LIBRARY}")
message("Found gloo include directories: ${Gloo_INCLUDE_DIRS}")
add_library(gloo SHARED IMPORTED)
set_target_properties(gloo PROPERTIES IMPORTED_LOCATION ${Gloo_NATIVE_LIBRARY})
if(USE_CUDA)
add_library(gloo_cuda SHARED IMPORTED)
set_target_properties(gloo_cuda PROPERTIES IMPORTED_LOCATION ${Gloo_CUDA_LIBRARY})
elseif(USE_ROCM)
add_library(gloo_hip SHARED IMPORTED)
set_target_properties(gloo_hip PROPERTIES IMPORTED_LOCATION ${Gloo_HIP_LIBRARY})
endif()
# need to use Gloo_INCLUDE_DIRS over third_party/gloo to find Gloo's auto-generated config.h
include_directories(BEFORE SYSTEM ${Gloo_INCLUDE_DIRS})
endif()
set(BUILD_TEST ${__BUILD_TEST})
set(BUILD_BENCHMARK ${__BUILD_BENCHMARK})
# Add explicit dependency since NCCL is built from third_party.
# Without dependency, make -jN with N>1 can fail if the NCCL build
# hasn't finished when CUDA targets are linked.
if(NOT USE_SYSTEM_NCCL AND USE_NCCL AND NOT USE_ROCM)
add_dependencies(gloo_cuda nccl_external)
endif()
# Pick the right dependency depending on USE_CUDA
list(APPEND Caffe2_DEPENDENCY_LIBS gloo)
if(USE_CUDA)
list(APPEND Caffe2_CUDA_DEPENDENCY_LIBS gloo_cuda)
elseif(USE_ROCM)
list(APPEND Caffe2_HIP_DEPENDENCY_LIBS gloo_hip)
endif()
add_compile_options(-DCAFFE2_USE_GLOO)
endif()
endif()
# ---[ profiling
if(USE_PROF)
find_package(htrace)
if(htrace_FOUND)
set(USE_PROF_HTRACE ON)
else()
message(WARNING "htrace not found. Caffe2 will build without htrace prof")
endif()
endif()
if(USE_SNPE AND ANDROID)
if(SNPE_LOCATION AND SNPE_HEADERS)
message(STATUS "Using SNPE location specified by -DSNPE_LOCATION: " ${SNPE_LOCATION})
message(STATUS "Using SNPE headers specified by -DSNPE_HEADERS: " ${SNPE_HEADERS})
include_directories(SYSTEM ${SNPE_HEADERS})
add_library(snpe SHARED IMPORTED)
set_property(TARGET snpe PROPERTY IMPORTED_LOCATION ${SNPE_LOCATION})
list(APPEND Caffe2_DEPENDENCY_LIBS snpe)
else()
caffe2_update_option(USE_SNPE OFF)
endif()
endif()
if(USE_NNAPI AND NOT ANDROID)
message(WARNING "NNApi is only used in android builds.")
caffe2_update_option(USE_NNAPI OFF)
endif()
# ---[ Onnx
if(CAFFE2_CMAKE_BUILDING_WITH_MAIN_REPO AND NOT INTERN_DISABLE_ONNX)
if(EXISTS "${CAFFE2_CUSTOM_PROTOC_EXECUTABLE}")
set(ONNX_CUSTOM_PROTOC_EXECUTABLE ${CAFFE2_CUSTOM_PROTOC_EXECUTABLE})
endif()
set(TEMP_BUILD_SHARED_LIBS ${BUILD_SHARED_LIBS})
set(BUILD_SHARED_LIBS OFF)
set(ONNX_USE_MSVC_STATIC_RUNTIME ${CAFFE2_USE_MSVC_STATIC_RUNTIME})
set(ONNX_USE_LITE_PROTO ${CAFFE2_USE_LITE_PROTO})
# If linking local protobuf, make sure ONNX has the same protobuf
# patches as Caffe2 and Caffe proto. This forces some functions to
# not be inline and instead route back to the statically-linked protobuf.
if(CAFFE2_LINK_LOCAL_PROTOBUF)
set(ONNX_PROTO_POST_BUILD_SCRIPT ${PROJECT_SOURCE_DIR}/cmake/ProtoBufPatch.cmake)
endif()
if(ONNX_ML)
add_definitions(-DONNX_ML=1)
endif()
add_definitions(-DONNXIFI_ENABLE_EXT=1)
set(Python3_EXECUTABLE "${Python_EXECUTABLE}")
if(NOT USE_SYSTEM_ONNX)
add_subdirectory(${CMAKE_CURRENT_LIST_DIR}/../third_party/onnx EXCLUDE_FROM_ALL)
endif()
add_definitions(-DONNX_NAMESPACE=${ONNX_NAMESPACE})
if(NOT USE_SYSTEM_ONNX)
# In mobile build we care about code size, and so we need drop
# everything (e.g. checker) in onnx but the pb definition.
if(ANDROID OR IOS)
caffe2_interface_library(onnx_proto onnx_library)
else()
caffe2_interface_library(onnx onnx_library)
endif()
list(APPEND Caffe2_DEPENDENCY_WHOLE_LINK_LIBS onnx_library)
else()
add_library(onnx SHARED IMPORTED)
find_library(ONNX_LIBRARY onnx)
if(NOT ONNX_LIBRARY)
message(FATAL_ERROR "Cannot find onnx")
endif()
set_property(TARGET onnx PROPERTY IMPORTED_LOCATION ${ONNX_LIBRARY})
add_library(onnx_proto SHARED IMPORTED)
find_library(ONNX_PROTO_LIBRARY onnx_proto)
if(NOT ONNX_PROTO_LIBRARY)
message(FATAL_ERROR "Cannot find onnx")
endif()
set_property(TARGET onnx_proto PROPERTY IMPORTED_LOCATION ${ONNX_PROTO_LIBRARY})
message("-- Found onnx: ${ONNX_LIBRARY} ${ONNX_PROTO_LIBRARY}")
list(APPEND Caffe2_DEPENDENCY_LIBS onnx_proto onnx)
endif()
# Recover the build shared libs option.
set(BUILD_SHARED_LIBS ${TEMP_BUILD_SHARED_LIBS})
endif()
# --[ ATen checks
set(USE_LAPACK 0)
# we need to build all targets to be linked with PIC
if(USE_KINETO AND INTERN_BUILD_MOBILE AND USE_LITE_INTERPRETER_PROFILER)
set(CMAKE_POSITION_INDEPENDENT_CODE TRUE)
endif()
if(NOT INTERN_BUILD_MOBILE)
set(TORCH_CUDA_ARCH_LIST $ENV{TORCH_CUDA_ARCH_LIST})
string(APPEND CMAKE_CUDA_FLAGS " $ENV{TORCH_NVCC_FLAGS}")
set(CMAKE_POSITION_INDEPENDENT_CODE TRUE)
# Top-level build config
############################################
# Flags
# When using MSVC
# Detect CUDA architecture and get best NVCC flags
# finding cuda must be first because other things depend on the result
#
# NB: We MUST NOT run this find_package if NOT USE_CUDA is set, because upstream
# FindCUDA has a bug where it will still attempt to make use of NOTFOUND
# compiler variables to run various probe tests. We could try to fix
# this, but since FindCUDA upstream is subsumed by first-class support
# for CUDA language, it seemed not worth fixing.
if(MSVC)
# we want to respect the standard, and we are bored of those **** .
add_definitions(-D_CRT_SECURE_NO_DEPRECATE=1)
string(APPEND CMAKE_CUDA_FLAGS " -Xcompiler=/wd4819,/wd4503,/wd4190,/wd4244,/wd4251,/wd4275,/wd4522")
else()
if(WERROR)
if(CMAKE_CXX_COMPILER_ID STREQUAL "GNU" AND ${CMAKE_CXX_COMPILER_VERSION} VERSION_GREATER_EQUAL 13)
string(APPEND CMAKE_CUDA_FLAGS " -Xcompiler -Wno-dangling-reference ")
endif()
if(CMAKE_CXX_COMPILER_ID STREQUAL "Clang")
string(APPEND CMAKE_CUDA_FLAGS " -Xcompiler -Wno-extra-semi ")
endif()
if(CMAKE_CXX_COMPILER_ID STREQUAL "GNU" OR (CMAKE_CXX_COMPILER_ID STREQUAL "Clang" AND ${CMAKE_CXX_COMPILER_VERSION} VERSION_GREATER_EQUAL 13))
string(APPEND CMAKE_CUDA_FLAGS " -Xcompiler -Werror -Xcompiler -Wno-error=sign-compare ")
endif()
endif()
endif()
string(APPEND CMAKE_CUDA_FLAGS " -Wno-deprecated-gpu-targets --expt-extended-lambda")
# use cub in a safe manner, see:
# https://github.com/pytorch/pytorch/pull/55292
string(APPEND CMAKE_CUDA_FLAGS " -DCUB_WRAPPED_NAMESPACE=at_cuda_detail")
message(STATUS "Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor")
string(APPEND CMAKE_CUDA_FLAGS " -DCUDA_HAS_FP16=1"
" -D__CUDA_NO_HALF_OPERATORS__"
" -D__CUDA_NO_HALF_CONVERSIONS__"
" -D__CUDA_NO_HALF2_OPERATORS__"
" -D__CUDA_NO_BFLOAT16_CONVERSIONS__")
string(APPEND CMAKE_C_FLAGS_RELEASE " -DNDEBUG")
string(APPEND CMAKE_CXX_FLAGS_RELEASE " -DNDEBUG")
if(NOT GENERATOR_IS_MULTI_CONFIG)
if(${CMAKE_BUILD_TYPE} STREQUAL "Release")
message(STATUS "Adding -DNDEBUG to compile flags")
string(APPEND CMAKE_C_FLAGS " -DNDEBUG")
string(APPEND CMAKE_CXX_FLAGS " -DNDEBUG")
else()
message(STATUS "Removing -DNDEBUG from compile flags")
string(REGEX REPLACE "[-/]DNDEBUG" "" CMAKE_C_FLAGS "" ${CMAKE_C_FLAGS})
string(REGEX REPLACE "[-/]DNDEBUG" "" CMAKE_CXX_FLAGS "" ${CMAKE_CXX_FLAGS})
endif()
endif()
string(REGEX REPLACE "[-/]DNDEBUG" "" CMAKE_C_FLAGS_DEBUG "" ${CMAKE_C_FLAGS_DEBUG})
string(REGEX REPLACE "[-/]DNDEBUG" "" CMAKE_CXX_FLAGS_DEBUG "" ${CMAKE_CXX_FLAGS_DEBUG})
set(CUDA_ATTACH_VS_BUILD_RULE_TO_CUDA_FILE OFF)
if(USE_CUDA OR USE_ROCM)
if(USE_MAGMA)
find_package(MAGMA)
if(MAGMA_FOUND)
message(STATUS "Compiling with MAGMA support")
message(STATUS "MAGMA INCLUDE DIRECTORIES: ${MAGMA_INCLUDE_DIR}")
message(STATUS "MAGMA LIBRARIES: ${MAGMA_LIBRARIES}")
message(STATUS "MAGMA V2 check: ${MAGMA_V2}")
else()
message(STATUS "MAGMA not found. Compiling without MAGMA support")
caffe2_update_option(USE_MAGMA OFF)
endif()
endif()
elseif(USE_MAGMA)
message(WARNING
"Not compiling with MAGMA. Suppress this warning with "
"-DUSE_MAGMA=OFF.")
caffe2_update_option(USE_MAGMA OFF)
endif()
# ARM specific flags
find_package(ARM)
if(ASIMD_FOUND)
message(STATUS "asimd/Neon found with compiler flag : -D__NEON__")
add_compile_options(-D__NEON__)
elseif(NEON_FOUND)
if(APPLE)
message(STATUS "Neon found with compiler flag : -D__NEON__")
add_compile_options(-D__NEON__)
else()
message(STATUS "Neon found with compiler flag : -mfpu=neon -D__NEON__")
add_compile_options(-mfpu=neon -D__NEON__)
endif()
endif()
if(CORTEXA8_FOUND)
message(STATUS "Cortex-A8 Found with compiler flag : -mcpu=cortex-a8")
add_compile_options(-mcpu=cortex-a8 -fprefetch-loop-arrays)
endif()
if(CORTEXA9_FOUND)
message(STATUS "Cortex-A9 Found with compiler flag : -mcpu=cortex-a9")
add_compile_options(-mcpu=cortex-a9)
endif()
find_package(LAPACK)
if(LAPACK_FOUND)
set(USE_LAPACK 1)
list(APPEND Caffe2_PRIVATE_DEPENDENCY_LIBS ${LAPACK_LIBRARIES})
endif()
if(NOT USE_CUDA)
message("disabling CUDA because NOT USE_CUDA is set")
set(AT_CUDA_ENABLED 0)
else()
set(AT_CUDA_ENABLED 1)
endif()
if(NOT USE_ROCM)
message("disabling ROCM because NOT USE_ROCM is set")
message(STATUS "MIOpen not found. Compiling without MIOpen support")
set(AT_ROCM_ENABLED 0)
else()
include_directories(BEFORE ${MIOPEN_INCLUDE_DIRS})
set(AT_ROCM_ENABLED 1)
endif()
if(USE_MKLDNN)
if(NOT CMAKE_SIZEOF_VOID_P EQUAL 8)
message(WARNING
"x64 operating system is required for MKLDNN. "
"Not compiling with MKLDNN. "
"Turn this warning off by USE_MKLDNN=OFF.")
set(USE_MKLDNN OFF)
endif()
if(USE_MKLDNN_ACL)
set(AT_MKLDNN_ACL_ENABLED 1)
endif()
endif()
if(USE_MKLDNN)
include(${CMAKE_CURRENT_LIST_DIR}/public/mkldnn.cmake)
if(MKLDNN_FOUND)
set(AT_MKLDNN_ENABLED 1)
include_directories(AFTER SYSTEM ${MKLDNN_INCLUDE_DIR})
else()
message(WARNING "MKLDNN could not be found.")
caffe2_update_option(USE_MKLDNN OFF)
endif()
else()
message("disabling MKLDNN because USE_MKLDNN is not set")
endif()
if(USE_KLEIDIAI)
set(TEMP_BUILD_SHARED_LIBS ${BUILD_SHARED_LIBS})
set(BUILD_SHARED_LIBS OFF CACHE BOOL "Build shared libs" FORCE)
set(AT_KLEIDIAI_ENABLED 1)
set(KLEIDIAI_BUILD_TESTS OFF) # Disable building KLEIDIAI tests
set(KLEIDIAI_SRC "${PROJECT_SOURCE_DIR}/third_party/kleidiai")
add_subdirectory(${KLEIDIAI_SRC})
list(APPEND Caffe2_DEPENDENCY_LIBS kleidiai)
# Recover build options.
set(BUILD_SHARED_LIBS ${TEMP_BUILD_SHARED_LIBS} CACHE BOOL "Build shared libs" FORCE)
endif()
if(UNIX AND NOT APPLE)
include(CheckLibraryExists)
# https://github.com/libgit2/libgit2/issues/2128#issuecomment-35649830
CHECK_LIBRARY_EXISTS(rt clock_gettime "time.h" NEED_LIBRT)
if(NEED_LIBRT)
list(APPEND Caffe2_DEPENDENCY_LIBS rt)
set(CMAKE_REQUIRED_LIBRARIES ${CMAKE_REQUIRED_LIBRARIES} rt)
endif(NEED_LIBRT)
endif(UNIX AND NOT APPLE)
if(UNIX)
set(CMAKE_EXTRA_INCLUDE_FILES "sys/mman.h")
CHECK_FUNCTION_EXISTS(mmap HAVE_MMAP)
if(HAVE_MMAP)
add_definitions(-DHAVE_MMAP=1)
endif(HAVE_MMAP)
# done for lseek: https://www.gnu.org/software/libc/manual/html_node/File-Position-Primitive.html
add_definitions(-D_FILE_OFFSET_BITS=64)
CHECK_FUNCTION_EXISTS(shm_open HAVE_SHM_OPEN)
if(HAVE_SHM_OPEN)
add_definitions(-DHAVE_SHM_OPEN=1)
endif(HAVE_SHM_OPEN)
CHECK_FUNCTION_EXISTS(shm_unlink HAVE_SHM_UNLINK)
if(HAVE_SHM_UNLINK)
add_definitions(-DHAVE_SHM_UNLINK=1)
endif(HAVE_SHM_UNLINK)
CHECK_FUNCTION_EXISTS(malloc_usable_size HAVE_MALLOC_USABLE_SIZE)
if(HAVE_MALLOC_USABLE_SIZE)
add_definitions(-DHAVE_MALLOC_USABLE_SIZE=1)
endif(HAVE_MALLOC_USABLE_SIZE)
endif(UNIX)
add_definitions(-DUSE_EXTERNAL_MZCRC)
add_definitions(-DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS)
find_package(ZVECTOR) # s390x simd support
endif()
#
# End ATen checks
#
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`.
#
# CMake compiles a little program to check compiler features. Some of our build
# configurations (notably the mobile build analyzer) will populate
# 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 ${TEMP_BUILD_SHARED_LIBS} CACHE BOOL "Build shared libs" FORCE)
# ---[ Kineto
# edge profiler depends on KinetoProfiler but it only does cpu
# profiling. Thus we dont need USE_CUDA/USE_ROCM
if(USE_KINETO AND INTERN_BUILD_MOBILE AND NOT (BUILD_LITE_INTERPRETER AND USE_LITE_INTERPRETER_PROFILER))
message(STATUS "Not using libkineto in a mobile build.")
set(USE_KINETO OFF)
endif()
if(USE_KINETO AND INTERN_BUILD_MOBILE AND USE_LITE_INTERPRETER_PROFILER AND (USE_CUDA OR USE_ROCM))
message(FATAL_ERROR "Mobile build with profiler does not support CUDA or ROCM")
endif()
if(USE_KINETO)
if(NOT USE_CUDA)
set(LIBKINETO_NOCUPTI ON CACHE STRING "" FORCE)
else()
set(LIBKINETO_NOCUPTI OFF CACHE STRING "")
message(STATUS "Using Kineto with CUPTI support")
endif()
if(NOT USE_ROCM)
set(LIBKINETO_NOROCTRACER ON CACHE STRING "" FORCE)
else()
set(LIBKINETO_NOROCTRACER OFF CACHE STRING "")
message(STATUS "Using Kineto with Roctracer support")
endif()
if((NOT USE_XPU) OR (NOT XPU_ENABLE_KINETO))
set(LIBKINETO_NOXPUPTI ON CACHE STRING "" FORCE)
else()
set(LIBKINETO_NOXPUPTI OFF CACHE STRING "")
message(STATUS "Using Kineto with XPUPTI support")
endif()
if(LIBKINETO_NOCUPTI AND LIBKINETO_NOROCTRACER AND LIBKINETO_NOXPUPTI)
message(STATUS "Using CPU-only version of Kineto")
endif()
set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party" CACHE STRING "")
set(KINETO_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/kineto/libkineto" CACHE STRING "")
set(KINETO_BUILD_TESTS OFF CACHE BOOL "")
set(KINETO_LIBRARY_TYPE "static" CACHE STRING "")
message(STATUS "Configuring Kineto dependency:")
message(STATUS " KINETO_SOURCE_DIR = ${KINETO_SOURCE_DIR}")
message(STATUS " KINETO_BUILD_TESTS = ${KINETO_BUILD_TESTS}")
message(STATUS " KINETO_LIBRARY_TYPE = ${KINETO_LIBRARY_TYPE}")
if(NOT LIBKINETO_NOCUPTI)
set(CUDA_SOURCE_DIR "${CUDA_TOOLKIT_ROOT_DIR}" CACHE STRING "")
message(STATUS " CUDA_SOURCE_DIR = ${CUDA_SOURCE_DIR}")
message(STATUS " CUDA_INCLUDE_DIRS = ${CUDA_INCLUDE_DIRS}")
if(NOT MSVC)
if(USE_CUPTI_SO)
set(CUPTI_LIB_NAME "libcupti.so")
else()
set(CUPTI_LIB_NAME "libcupti_static.a")
endif()
else()
set(CUPTI_LIB_NAME "cupti.lib")
endif()
find_library(CUPTI_LIBRARY_PATH ${CUPTI_LIB_NAME} PATHS
${CUDA_SOURCE_DIR}
${CUDA_SOURCE_DIR}/extras/CUPTI/lib64
${CUDA_SOURCE_DIR}/lib
${CUDA_SOURCE_DIR}/lib64
NO_DEFAULT_PATH)
find_path(CUPTI_INCLUDE_DIR cupti.h PATHS
${CUDA_SOURCE_DIR}/extras/CUPTI/include
${CUDA_INCLUDE_DIRS}
${CUDA_SOURCE_DIR}
${CUDA_SOURCE_DIR}/include
NO_DEFAULT_PATH)
if(CUPTI_LIBRARY_PATH AND CUPTI_INCLUDE_DIR)
message(STATUS " CUPTI_INCLUDE_DIR = ${CUPTI_INCLUDE_DIR}")
set(CUDA_cupti_LIBRARY ${CUPTI_LIBRARY_PATH})
message(STATUS " CUDA_cupti_LIBRARY = ${CUDA_cupti_LIBRARY}")
message(STATUS "Found CUPTI")
set(LIBKINETO_NOCUPTI OFF CACHE STRING "" FORCE)
# I've only tested this sanity check on Linux; if someone
# runs into this bug on another platform feel free to
# generalize it accordingly
if(NOT USE_CUPTI_SO AND UNIX)
include(CheckCXXSourceRuns)
# rt is handled by the CMAKE_REQUIRED_LIBRARIES set above
if(NOT APPLE)
set(CMAKE_REQUIRED_LIBRARIES ${CMAKE_REQUIRED_LIBRARIES} "dl" "pthread")
endif()
set(CMAKE_REQUIRED_LINK_OPTIONS "-Wl,--whole-archive,${CUPTI_LIBRARY_PATH},--no-whole-archive")
check_cxx_source_runs("#include <stdexcept>
int main() {
try {
throw std::runtime_error(\"error\");
} catch (...) {
return 0;
}
return 1;
}" EXCEPTIONS_WORK)
set(CMAKE_REQUIRED_LINK_OPTIONS "")
if(NOT EXCEPTIONS_WORK)
message(FATAL_ERROR
"Detected that statically linking against CUPTI causes exceptions to stop working. "
"See https://github.com/pytorch/pytorch/issues/57744 for more details. "
"Perhaps try: USE_CUPTI_SO=1 CMAKE_FRESH=1 python -m pip install -e . -v --no-build-isolation")
endif()
endif()
else()
message(STATUS "Could not find CUPTI library, using CPU-only Kineto build")
set(LIBKINETO_NOCUPTI ON CACHE STRING "" FORCE)
endif()
endif()
if(NOT LIBKINETO_NOROCTRACER)
if("$ENV{ROCM_SOURCE_DIR}" STREQUAL "")
set(ENV{ROCM_SOURCE_DIR} "/opt/rocm")
endif()
endif()
if(NOT TARGET kineto)
add_subdirectory("${KINETO_SOURCE_DIR}")
set_property(TARGET kineto PROPERTY POSITION_INDEPENDENT_CODE ON)
endif()
list(APPEND Caffe2_DEPENDENCY_LIBS kineto)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_KINETO")
if(LIBKINETO_NOCUPTI)
string(APPEND CMAKE_CXX_FLAGS " -DLIBKINETO_NOCUPTI")
endif()
if(LIBKINETO_NOROCTRACER)
string(APPEND CMAKE_CXX_FLAGS " -DLIBKINETO_NOROCTRACER")
endif()
if(LIBKINETO_NOXPUPTI)
string(APPEND CMAKE_CXX_FLAGS " -DLIBKINETO_NOXPUPTI=ON")
else()
string(APPEND CMAKE_CXX_FLAGS " -DLIBKINETO_NOXPUPTI=OFF")
endif()
if(LIBKINETO_NOCUPTI AND LIBKINETO_NOROCTRACER AND LIBKINETO_NOXPUPTI)
message(STATUS "Configured Kineto (CPU)")
else()
message(STATUS "Configured Kineto")
endif()
endif()
# Include google/FlatBuffers
include(${CMAKE_CURRENT_LIST_DIR}/FlatBuffers.cmake)
# Include cpp-httplib
add_library(httplib INTERFACE IMPORTED)
target_include_directories(httplib SYSTEM INTERFACE ${PROJECT_SOURCE_DIR}/third_party/cpp-httplib)
# Include nlohmann-json
add_library(nlohmann INTERFACE IMPORTED)
include_directories(nlohmann SYSTEM INTERFACE ${PROJECT_SOURCE_DIR}/third_party/nlohmann/include)
# Include moodycamel
add_library(moodycamel INTERFACE IMPORTED)
include_directories(moodycamel SYSTEM INTERFACE ${PROJECT_SOURCE_DIR}/third_party/concurrentqueue)
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