# 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)
# 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})

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)
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})
elseif(BLAS STREQUAL "BLIS")
  find_package(BLIS REQUIRED)
  include_directories(SYSTEM ${BLIS_INCLUDE_DIR})
  list(APPEND Caffe2_DEPENDENCY_LIBS ${BLIS_LIB})
elseif(BLAS STREQUAL "MKL")
  if(BLAS_SET_BY_USER)
    find_package(MKL REQUIRED)
  else()
    find_package(MKL QUIET)
  endif()
  include(${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)
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})
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})
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)
else()
  message(FATAL_ERROR "Unrecognized BLAS option: " ${BLAS})
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(NOT CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS)
    message(WARNING
      "A compiler with AVX512 support is required for FBGEMM. "
      "Not compiling with FBGEMM. "
      "Turn this warning off by USE_FBGEMM=OFF.")
    set(USE_FBGEMM OFF)
  endif()
  if(NOT CMAKE_SIZEOF_VOID_P EQUAL 8)
    message(WARNING
      "x64 operating system is required for FBGEMM. "
      "Not compiling with FBGEMM. "
      "Turn this warning off by USE_FBGEMM=OFF.")
    set(USE_FBGEMM OFF)
  endif()
  if(USE_FBGEMM AND NOT TARGET fbgemm)
    set(FBGEMM_BUILD_TESTS OFF CACHE BOOL "")
    set(FBGEMM_BUILD_BENCHMARKS OFF CACHE BOOL "")
    if(MSVC AND BUILD_SHARED_LIBS)
      set(FBGEMM_LIBRARY_TYPE "shared" CACHE STRING "")
    else()
      set(FBGEMM_LIBRARY_TYPE "static" CACHE STRING "")
    endif()
    if(USE_ASAN)
      set(USE_SANITIZER "address,undefined" CACHE STRING "-fsanitize options for FBGEMM")
    endif()
    add_subdirectory("${FBGEMM_SOURCE_DIR}")
    set_property(TARGET fbgemm_generic PROPERTY POSITION_INDEPENDENT_CODE ON)
    set_property(TARGET fbgemm_avx2 PROPERTY POSITION_INDEPENDENT_CODE ON)
    set_property(TARGET fbgemm_avx512 PROPERTY POSITION_INDEPENDENT_CODE ON)
    set_property(TARGET fbgemm PROPERTY POSITION_INDEPENDENT_CODE ON)

    # Disabling autovec in fbgemm due to large library size causing symbol relocation issues, which is only allowed in static builds.
    # Long-term solution involves modularizing fbgemm targets.
    target_compile_definitions(fbgemm_generic PUBLIC DISABLE_FBGEMM_AUTOVEC)
    target_compile_definitions(fbgemm_avx2 PUBLIC DISABLE_FBGEMM_AUTOVEC)
    target_compile_definitions(fbgemm_avx512 PUBLIC DISABLE_FBGEMM_AUTOVEC)

    if("${CMAKE_CXX_COMPILER_ID}" MATCHES "Clang" AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER 13.0.0)
      # See https://github.com/pytorch/pytorch/issues/74352
      target_compile_options_if_supported(asmjit -Wno-deprecated-copy)
      target_compile_options_if_supported(asmjit -Wno-unused-but-set-variable)
    endif()
    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()
  endif()
  if(USE_FBGEMM)
    target_compile_definitions(fbgemm PUBLIC DISABLE_FBGEMM_AUTOVEC)
    list(APPEND Caffe2_DEPENDENCY_LIBS fbgemm)
  endif()
endif()

if(USE_FBGEMM)
  caffe2_update_option(USE_FBGEMM ON)
else()
  caffe2_update_option(USE_FBGEMM OFF)
  message(WARNING
    "Turning USE_FAKELOWP off as it depends on USE_FBGEMM.")
  caffe2_update_option(USE_FAKELOWP 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 ${CUDA_INCLUDE_DIRS})
  find_package_handle_standard_args(nvtx3 DEFAULT_MSG nvtx3_dir)
  if(NOT nvtx3_FOUND)
    message(WARNING "Cannot find system NVTX3, find shipped NVTX3 instead")
  endif()
endif()
if(NOT TARGET CUDA::nvtx3)
  add_library(CUDA::nvtx3 INTERFACE IMPORTED)
endif()
if(NOT nvtx3_dir)
  find_path(nvtx3_dir NAMES nvtx3 PATHS "${PROJECT_SOURCE_DIR}/third_party/NVTX/c/include" NO_DEFAULT_PATH)
  target_include_directories(CUDA::nvtx3 INTERFACE "${nvtx3_dir}")
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()
    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)
  find_package(CUB)
  if(NOT CUB_FOUND)
    message(FATAL_ERROR "Cannot find CUB.")
  endif()
  include_directories(SYSTEM ${CUB_INCLUDE_DIRS})
endif()

if(USE_DISTRIBUTED AND 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()
    if(CMAKE_VERSION VERSION_GREATER_EQUAL "4.0.0")
      message(WARNING "Archived TensorPipe forces CMake compatibility mode")
      set(CMAKE_POLICY_VERSION_MINIMUM 3.5)
    endif()
    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)
    if(CMAKE_VERSION VERSION_GREATER_EQUAL "4.0.0")
      unset(CMAKE_POLICY_VERSION_MINIMUM)
    endif()

    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_LIBRARY}")
      message("Found gloo include directories: ${Gloo_INCLUDE_DIRS}")
      add_library(gloo SHARED IMPORTED)
      set_target_properties(gloo PROPERTIES IMPORTED_LOCATION ${Gloo_LIBRARY})
      # 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 setup.py develop")
        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)