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CMakeLists.txt
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CMakeLists.txt
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# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# Minimum CMake required
cmake_minimum_required(VERSION 3.26)
cmake_policy(SET CMP0069 NEW)
set(CMAKE_POLICY_DEFAULT_CMP0069 NEW)
cmake_policy(SET CMP0092 NEW)
cmake_policy(SET CMP0091 NEW)
cmake_policy(SET CMP0117 NEW)
# Don't let cmake set a default value for CMAKE_CUDA_ARCHITECTURES
cmake_policy(SET CMP0104 OLD)
# Enable Hot Reload for MSVC compilers if supported.
cmake_policy(SET CMP0141 NEW)
# Project
project(onnxruntime C CXX ASM)
# Disable fast-math for Intel oneAPI compiler
if("${CMAKE_CXX_COMPILER_ID}" MATCHES "IntelLLVM")
if("${CMAKE_CXX_COMPILER_ID}" MATCHES "MSVC-like")
# Using icx-cl compiler driver with MSVC-like arguments
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /fp:precise")
else()
# Using icpx compiler driver
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fno-fast-math")
endif()
endif()
# Needed for Java
set(CMAKE_C_STANDARD 99)
include(CheckCXXCompilerFlag)
include(CheckLanguage)
include(CMakeDependentOption)
include(FetchContent)
include(CheckFunctionExists)
# TODO: update this once all system adapt c++20
if(CMAKE_SYSTEM_NAME STREQUAL "Darwin")
set(CMAKE_CXX_STANDARD 20)
else()
set(CMAKE_CXX_STANDARD 17)
endif()
set_property(GLOBAL PROPERTY USE_FOLDERS ON)
# NOTE: POSITION INDEPENDENT CODE hurts performance, and it only make sense on POSIX systems
set(CMAKE_POSITION_INDEPENDENT_CODE ON)
# Enable CTest
enable_testing()
include(Dart)
if (NOT CMAKE_BUILD_TYPE)
message(STATUS "Build type not set - using RelWithDebInfo")
set(CMAKE_BUILD_TYPE "RelWithDebInfo" CACHE STRING "Choose build type: Debug Release RelWithDebInfo MinSizeRel." FORCE)
endif()
if("${CMAKE_C_COMPILER_ID}" STREQUAL "GNU" AND CMAKE_C_COMPILER_VERSION VERSION_LESS 8)
message(FATAL_ERROR "GCC version must be greater than or equal to 8")
endif()
# Options
option(onnxruntime_RUN_ONNX_TESTS "Enable ONNX Compatibility Testing" OFF)
option(onnxruntime_GENERATE_TEST_REPORTS "Enable test report generation" OFF)
option(onnxruntime_ENABLE_STATIC_ANALYSIS "Enable static analysis" OFF)
option(onnxruntime_USE_CUSTOM_STATIC_ANALYSIS_RULES "Use a custom SDL Rule. It is mainly for our CI build" OFF)
option(onnxruntime_REDIRECT_STATIC_ANALYSIS_OUTPUTS_TO_FILE "Use a custom SDL Rule. It is mainly for our CI build" OFF)
option(onnxruntime_ENABLE_PYTHON "Enable python buildings" OFF)
# Enable it may cause LNK1169 error
option(onnxruntime_ENABLE_MEMLEAK_CHECKER "Experimental: Enable memory leak checker in Windows debug build" OFF)
option(onnxruntime_USE_CUDA "Build with CUDA support" OFF)
# Enable ONNX Runtime CUDA EP's internal unit tests that directly access the EP's internal functions instead of through
# OpKernels. When the option is ON, we will have two copies of GTest library in the same process. It is not a typical
# use. If you hit any problem with that, please do not report it to GTest. Turn OFF the following build option instead.
cmake_dependent_option(onnxruntime_ENABLE_CUDA_EP_INTERNAL_TESTS "Build with CUDA unit tests" OFF "onnxruntime_USE_CUDA;onnxruntime_BUILD_UNIT_TESTS;LINUX" OFF)
option(onnxruntime_USE_CUDA_NHWC_OPS "Build CUDA with NHWC op support" OFF)
option(onnxruntime_CUDA_MINIMAL "Build CUDA without any operations apart from memcpy ops. Usefuel for a very minial TRT build" OFF)
option(onnxruntime_ENABLE_CUDA_LINE_NUMBER_INFO "When building with CUDA support, generate device code line number information." OFF)
option(onnxruntime_USE_OPENVINO "Build with OpenVINO support" OFF)
option(onnxruntime_USE_COREML "Build with CoreML support" OFF)
option(onnxruntime_USE_NNAPI_BUILTIN "Build with builtin NNAPI lib for Android NNAPI support" OFF)
option(onnxruntime_USE_QNN "Build with QNN support" OFF)
option(onnxruntime_USE_SNPE "Build with SNPE support" OFF)
option(onnxruntime_USE_RKNPU "Build with RKNPU support" OFF)
option(onnxruntime_USE_DNNL "Build with DNNL support" OFF)
option(onnxruntime_USE_NEURAL_SPEED "Build with Neural Speed support" ON)
option(onnxruntime_USE_JSEP "Build with JavaScript implemented kernels support" OFF)
option(onnxruntime_BUILD_UNIT_TESTS "Build ONNXRuntime unit tests" ON)
option(onnxruntime_BUILD_CSHARP "Build C# library" OFF)
option(onnxruntime_BUILD_OBJC "Build Objective-C library" OFF)
option(onnxruntime_USE_PREINSTALLED_EIGEN "Use pre-installed EIGEN. Need to provide eigen_SOURCE_PATH if turn this on." OFF)
option(onnxruntime_BUILD_BENCHMARKS "Build ONNXRuntime micro-benchmarks" OFF)
option(onnxruntime_USE_LLVM "Build TVM with LLVM" OFF)
cmake_dependent_option(onnxruntime_USE_FLASH_ATTENTION "Build flash attention kernel for scaled dot product attention" ON "NOT WIN32; onnxruntime_USE_CUDA" OFF)
option(onnxruntime_USE_MEMORY_EFFICIENT_ATTENTION "Build memory efficient attention kernel for scaled dot product attention" ON)
option(onnxruntime_BUILD_FOR_NATIVE_MACHINE "Enable this option for turning on optimization specific to this machine" OFF)
option(onnxruntime_USE_AVX "Use AVX instructions" OFF)
option(onnxruntime_USE_AVX2 "Use AVX2 instructions" OFF)
option(onnxruntime_USE_AVX512 "Use AVX512 instructions" OFF)
option(onnxruntime_BUILD_SHARED_LIB "Build a shared library" OFF)
option(onnxruntime_BUILD_APPLE_FRAMEWORK "Build a macOS/iOS framework" OFF)
option(onnxruntime_ENABLE_MICROSOFT_INTERNAL "Use this option to enable/disable microsoft internal only code" OFF)
option(onnxruntime_USE_VITISAI "Build with Vitis-AI" OFF)
option(onnxruntime_USE_TENSORRT "Build with TensorRT support" OFF)
option(onnxruntime_USE_TENSORRT_BUILTIN_PARSER "Use TensorRT builtin parser" OFF)
option(onnxruntime_ENABLE_LTO "Enable link time optimization" OFF)
option(onnxruntime_CROSS_COMPILING "Cross compiling onnx runtime" OFF)
option(onnxruntime_GCOV_COVERAGE "Compile with options necessary to run code coverage" OFF)
option(onnxruntime_DONT_VECTORIZE "Do not vectorize operations in Eigen" OFF)
option(onnxruntime_USE_FULL_PROTOBUF "Link to libprotobuf instead of libprotobuf-lite when this option is ON" OFF)
option(onnxruntime_ENABLE_LANGUAGE_INTEROP_OPS "Enable operator implemented in language other than cpp" OFF)
option(onnxruntime_DEBUG_NODE_INPUTS_OUTPUTS "Dump debug information about node inputs and outputs when executing the model." OFF)
cmake_dependent_option(onnxruntime_DEBUG_NODE_INPUTS_OUTPUTS_ENABLE_DUMP_TO_SQLDB "Build dump debug information about node inputs and outputs with support for sql database." OFF "onnxruntime_DEBUG_NODE_INPUTS_OUTPUTS" OFF)
option(onnxruntime_USE_DML "Build with DirectML support" OFF)
option(onnxruntime_USE_MIGRAPHX "Build with AMDMIGraphX support" OFF)
option(onnxruntime_USE_WINML "Build with WinML support" OFF)
option(onnxruntime_USE_ACL "Build with ACL support" OFF)
option(onnxruntime_USE_ACL_1902 "Build with ACL version 1902 support" OFF)
option(onnxruntime_USE_ACL_1905 "Build with ACL version 1905 support" OFF)
option(onnxruntime_USE_ACL_1908 "Build with ACL version 1908 support" OFF)
option(onnxruntime_USE_ACL_2002 "Build with ACL version 2002 support" OFF)
option(onnxruntime_USE_ACL_2308 "Build with ACL version 2308 support" OFF)
option(onnxruntime_USE_ARMNN "Build with ArmNN support" OFF)
option(onnxruntime_ARMNN_RELU_USE_CPU "Use the CPU implementation for the Relu operator for the ArmNN EP" ON)
option(onnxruntime_ARMNN_BN_USE_CPU "Use the CPU implementation for the Batch Normalization operator for the ArmNN EP" ON)
option(onnxruntime_ENABLE_INSTRUMENT "Enable Instrument with Event Tracing for Windows (ETW)" OFF)
option(onnxruntime_USE_TELEMETRY "Build with Telemetry" OFF)
cmake_dependent_option(onnxruntime_USE_MIMALLOC "Override new/delete and arena allocator with mimalloc" OFF "WIN32;NOT onnxruntime_USE_CUDA;NOT onnxruntime_USE_OPENVINO" OFF)
option(onnxruntime_USE_CANN "Build with CANN support" OFF)
option(onnxruntime_USE_ROCM "Build with AMD GPU support" OFF)
option(onnxruntime_USE_TVM "Build with TVM support" OFF)
option(onnxruntime_TVM_CUDA_RUNTIME "Build TVM with CUDA support" OFF)
option(onnxruntime_TVM_USE_LLVM "Build TVM with LLVM. Set customized path to llvm-config.exe here if need" OFF)
option(onnxruntime_TVM_USE_HASH "Build ipp-crypto library for support hash algorithm. It is defined for TVM only")
option(onnxruntime_USE_XNNPACK "Build with XNNPACK support. Provides an alternative math library on ARM, WebAssembly and x86." OFF)
option(onnxruntime_USE_WEBNN "Build with WebNN support. Enable hardware acceleration in web browsers." OFF)
# Options related to reducing the binary size produced by the build
# XNNPACK EP requires the internal NHWC contrib ops to be available, so this option must be OFF when onnxruntime_USE_XNNPACK is ON
cmake_dependent_option(onnxruntime_DISABLE_CONTRIB_OPS "Disable contrib ops" OFF "NOT onnxruntime_USE_XNNPACK" OFF)
option(onnxruntime_DISABLE_ML_OPS "Disable traditional ML ops" OFF)
option(onnxruntime_DISABLE_SPARSE_TENSORS "Disable sparse tensors data types" OFF)
option(onnxruntime_DISABLE_OPTIONAL_TYPE "Disable optional type" OFF)
option(onnxruntime_DISABLE_FLOAT8_TYPES "Disable float 8 types" OFF)
option(onnxruntime_MINIMAL_BUILD "Exclude as much as possible from the build. Support ORT format models. No support for ONNX format models." OFF)
cmake_dependent_option(onnxruntime_DISABLE_RTTI "Disable RTTI" ON "NOT onnxruntime_ENABLE_PYTHON;NOT onnxruntime_USE_CUDA" OFF)
# For now onnxruntime_DISABLE_EXCEPTIONS will only work with onnxruntime_MINIMAL_BUILD, more changes (ONNX, non-CPU EP, ...) are required to run this standalone
cmake_dependent_option(onnxruntime_DISABLE_EXCEPTIONS "Disable exception handling. Requires onnxruntime_MINIMAL_BUILD currently." ON "onnxruntime_MINIMAL_BUILD;NOT onnxruntime_ENABLE_PYTHON" OFF)
# Even when onnxruntime_DISABLE_ABSEIL is ON, ONNX Runtime still needs to link to abseil.
option(onnxruntime_DISABLE_ABSEIL "Do not use Abseil data structures in ONNX Runtime source code. Redefine Inlined containers to STD containers." OFF)
option(onnxruntime_EXTENDED_MINIMAL_BUILD "onnxruntime_MINIMAL_BUILD with support for execution providers that compile kernels." OFF)
option(onnxruntime_MINIMAL_BUILD_CUSTOM_OPS "Add custom operator kernels support to a minimal build." OFF)
option(onnxruntime_REDUCED_OPS_BUILD "Reduced set of kernels are registered in build via modification of the kernel registration source files." OFF)
option(onnxruntime_DISABLE_EXTERNAL_INITIALIZERS "Don't allow models to load external data" OFF)
#A special option just for debugging and sanitize check. Please do not enable in option in retail builds.
#The option has no effect on Windows.
option(onnxruntime_USE_VALGRIND "Build with valgrind hacks" OFF)
# A special build option only used for gathering code coverage info
option(onnxruntime_RUN_MODELTEST_IN_DEBUG_MODE "Run model tests even in debug mode" OFF)
# options for security fuzzing
# build configuration for fuzz testing is in onnxruntime_fuzz_test.cmake
option(onnxruntime_FUZZ_TEST "Enable Fuzz testing" OFF)
# training options
option(onnxruntime_ENABLE_NVTX_PROFILE "Enable NVTX profile." OFF)
option(onnxruntime_ENABLE_MEMORY_PROFILE "Enable memory profile." OFF)
option(onnxruntime_ENABLE_TRAINING "Enable full training functionality. Includes ORTModule and ORT Training APIs" OFF)
option(onnxruntime_ENABLE_TRAINING_APIS "Enable ort training apis." OFF)
option(onnxruntime_ENABLE_TRAINING_OPS "Include training operators but no training session support." OFF)
option(onnxruntime_ENABLE_TRAINING_E2E_TESTS "Enable training end-to-end tests." OFF)
option(onnxruntime_ENABLE_CPU_FP16_OPS "Build with advanced instruction sets" ON)
option(onnxruntime_USE_NCCL "Build with NCCL support" OFF)
option(onnxruntime_USE_MPI "Build with MPI support" OFF)
# WebAssembly options
option(onnxruntime_BUILD_WEBASSEMBLY_STATIC_LIB "Enable this option to create WebAssembly static library" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_THREADS "Enable this option to create WebAssembly byte codes with multi-threads support" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_EXCEPTION_CATCHING "Enable this option to turn on exception catching" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_API_EXCEPTION_CATCHING "Enable this option to turn on api exception catching" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_EXCEPTION_THROWING "Enable this option to turn on exception throwing even if the build disabled exceptions support" OFF)
option(onnxruntime_WEBASSEMBLY_RUN_TESTS_IN_BROWSER "Enable this option to run tests in browser instead of Node.js" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_DEBUG_INFO "Enable this option to turn on DWARF format debug info" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_PROFILING "Enable this option to turn on WebAssembly profiling and preserve function names" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_OUTPUT_OPTIMIZED_MODEL "Enable this option to allow WebAssembly to output optimized model" OFF)
# Enable bitcode for iOS
option(onnxruntime_ENABLE_BITCODE "Enable bitcode for iOS only" OFF)
# build Pytorch's LazyTensor support
cmake_dependent_option(onnxruntime_ENABLE_LAZY_TENSOR "Enable ORT as a LazyTensor backend in Pytorch." ON "onnxruntime_ENABLE_TRAINING" OFF)
# build separate library of schemas of (custom) ops used by ORT (for ONNX to MLIR translation)
option(onnxruntime_BUILD_OPSCHEMA_LIB "Build op schema library" ON)
# option to enable custom operators in onnxruntime-extensions
option(onnxruntime_USE_EXTENSIONS "Build with onnxruntime-extensions for more features" OFF)
# option to enable custom operators in onnxruntime-extensions with a custom path
option(onnxruntime_EXTENSIONS_OVERRIDDEN, "Enable onnxruntime-extensions overridden" OFF)
# Enable registering custom op schemas from shared libraries in python environment.
option(onnxruntime_ENABLE_EXTERNAL_CUSTOM_OP_SCHEMAS "Enable registering user defined custom op schemas dynamically" OFF)
set(ONNX_CUSTOM_PROTOC_EXECUTABLE "" CACHE STRING "Specify custom protoc executable to build ONNX")
# pre-build python path
option(onnxruntime_PREBUILT_PYTORCH_PATH "Path to pytorch installation dir")
# external transformer src path
option(onnxruntime_EXTERNAL_TRANSFORMER_SRC_PATH "Path to external transformer src dir")
option(onnxruntime_ENABLE_CUDA_PROFILING "Enable CUDA kernel profiling" OFF)
option(onnxruntime_ENABLE_ROCM_PROFILING "Enable ROCM kernel profiling" OFF)
option(onnxruntime_ENABLE_CPUINFO "Enable cpuinfo" ON)
# ATen fallback support
option(onnxruntime_ENABLE_ATEN "Enable ATen fallback" OFF)
# Triton support
option(onnxruntime_ENABLE_TRITON "Enable Triton" OFF)
# composable kernel is managed automatically, unless user want to explicitly disable it, it should not be manually set
option(onnxruntime_USE_COMPOSABLE_KERNEL "Enable composable kernel for ROCm EP" ON)
option(onnxruntime_USE_ROCBLAS_EXTENSION_API "Enable rocblas tuning for ROCm EP" OFF)
option(onnxruntime_USE_TRITON_KERNEL "Enable triton compiled kernel" OFF)
option(onnxruntime_BUILD_KERNEL_EXPLORER "Build Kernel Explorer for testing and profiling GPU kernels" OFF)
option(onnxruntime_BUILD_CACHE "onnxruntime build with cache" OFF)
# https://zeux.io/2010/11/22/z7-everything-old-is-new-again/
cmake_dependent_option(MSVC_Z7_OVERRIDE "replacing /Zi and /ZI with /Z7 when using MSVC with CCache" ON "onnxruntime_BUILD_CACHE; MSVC" OFF)
option(onnxruntime_USE_AZURE "Build with azure inferencing support" OFF)
option(onnxruntime_USE_LOCK_FREE_QUEUE "Build with lock-free task queue for threadpool." OFF)
# ENABLE_TRAINING includes all training functionality
# The following 2 entry points
# 1. ORTModule
# 2. ORT Training APIs
# It includes all the feature additions as well like
# 1. Python OP
# 2. Aten Fallback
# 3. Strided Tensors
# 4. All training ops including communication and collectives ops
# 5. ONNXBlock (Front end for training preparation when using training apis)
# Some features are only enabled when onnxruntime_ENABLE_PYTHON is ON as they are only relevant
# when using python env
if (onnxruntime_ENABLE_TRAINING)
set(onnxruntime_ENABLE_TRAINING_APIS ON)
set(onnxruntime_ENABLE_TRAINING_OPS ON)
set(onnxruntime_ENABLE_ATEN ON)
set(onnxruntime_ENABLE_TRITON ON)
if (NOT APPLE)
set(onnxruntime_ENABLE_TRAINING_TORCH_INTEROP ON)
endif()
endif()
if (onnxruntime_ENABLE_TRAINING_APIS)
set(onnxruntime_ENABLE_TRAINING_OPS ON)
if (onnxruntime_ENABLE_PYTHON AND NOT onnxruntime_ENABLE_TRAINING)
message(FATAL_ERROR "Standalone On-Device Training build is not supported with Python bindings! "
"Please use the --enable_training flag instead of the --enable_training_apis flag.")
endif()
endif()
if (onnxruntime_USE_ROCM)
if (WIN32)
message(FATAL_ERROR "ROCM does not support build in Windows!")
endif()
if (onnxruntime_USE_CUDA)
message(FATAL_ERROR "ROCM does not support build with CUDA!")
endif()
if (NOT CMAKE_HIP_COMPILER)
set(CMAKE_HIP_COMPILER "${onnxruntime_ROCM_HOME}/llvm/bin/clang++")
endif()
if (NOT CMAKE_HIP_ARCHITECTURES)
set(CMAKE_HIP_ARCHITECTURES "gfx906;gfx908;gfx90a;gfx1030;gfx1100;gfx1101")
endif()
file(GLOB rocm_cmake_components ${onnxruntime_ROCM_HOME}/lib/cmake/*)
list(APPEND CMAKE_PREFIX_PATH ${rocm_cmake_components})
# Force cmake to accept the configured HIP compiler. Because the configured CMAKE_PREFIX_PATH does not work during
# enable_language(HIP), we might need to move configuring of CMAKE_PREFIX_PATH to build.py (in the future).
set(CMAKE_HIP_COMPILER_FORCED ON)
enable_language(HIP)
# NOTE: Flags -mllvm -amdgpu-early-inline-all=true are critical for gpu kernel code performance. -mllvm passes the
# next flag to underlying LLVM instead of clang and -amdgpu-early-inline-all=true is the optimization flag for LLVM.
# With CMake's enable_language(HIP), additional flags including the proceeding one are propagated from
# hip-lang::device library. But in some weird cases, the hip-lang::device target may not be properly configured, for
# example, the CMAKE_PREFIX_PATH might be improperly configured.
if(NOT DEFINED _CMAKE_HIP_DEVICE_RUNTIME_TARGET)
message(FATAL_ERROR "HIP Language is not properly configured.")
endif()
add_compile_options("$<$<COMPILE_LANGUAGE:HIP>:SHELL:-x hip>")
if (NOT onnxruntime_HIPIFY_PERL)
find_path(HIPIFY_PERL_PATH
NAMES hipify-perl
HINTS
${onnxruntime_ROCM_HOME}/bin
${onnxruntime_ROCM_HOME}/hip/bin)
if (HIPIFY_PERL_PATH-NOTFOUND)
MESSAGE(FATAL_ERROR "hipify-perl not found")
endif()
set(onnxruntime_HIPIFY_PERL ${HIPIFY_PERL_PATH}/hipify-perl)
endif()
# replicate strategy used by pytorch to get ROCM_VERSION
# https://github.com/pytorch/pytorch/blob/5c5b71b6eebae76d744261715231093e62f0d090/cmake/public/LoadHIP.cmake
# with modification
if (EXISTS "${onnxruntime_ROCM_HOME}/.info/version")
file(READ "${onnxruntime_ROCM_HOME}/.info/version" ROCM_VERSION_DEV_RAW)
string(REGEX MATCH "^([0-9]+)\.([0-9]+)\.([0-9]+)-.*$" ROCM_VERSION_MATCH ${ROCM_VERSION_DEV_RAW})
elseif (EXISTS "${onnxruntime_ROCM_HOME}/include/rocm_version.h")
file(READ "${onnxruntime_ROCM_HOME}/include/rocm_version.h" ROCM_VERSION_H_RAW)
string(REGEX MATCH "\"([0-9]+)\.([0-9]+)\.([0-9]+).*\"" ROCM_VERSION_MATCH ${ROCM_VERSION_H_RAW})
elseif (EXISTS "${onnxruntime_ROCM_HOME}/include/rocm-core/rocm_version.h")
file(READ "${onnxruntime_ROCM_HOME}/include/rocm-core/rocm_version.h" ROCM_VERSION_H_RAW)
string(REGEX MATCH "\"([0-9]+)\.([0-9]+)\.([0-9]+).*\"" ROCM_VERSION_MATCH ${ROCM_VERSION_H_RAW})
endif()
if (ROCM_VERSION_MATCH)
set(ROCM_VERSION_DEV_MAJOR ${CMAKE_MATCH_1})
set(ROCM_VERSION_DEV_MINOR ${CMAKE_MATCH_2})
set(ROCM_VERSION_DEV_PATCH ${CMAKE_MATCH_3})
set(ROCM_VERSION_DEV "${ROCM_VERSION_DEV_MAJOR}.${ROCM_VERSION_DEV_MINOR}.${ROCM_VERSION_DEV_PATCH}")
math(EXPR ROCM_VERSION_DEV_INT "(${ROCM_VERSION_DEV_MAJOR}*10000) + (${ROCM_VERSION_DEV_MINOR}*100) + ${ROCM_VERSION_DEV_PATCH}")
else()
message(FATAL_ERROR "Cannot determine ROCm version string")
endif()
message("\n***** ROCm version from ${onnxruntime_ROCM_HOME}/.info/version ****\n")
message("ROCM_VERSION_DEV: ${ROCM_VERSION_DEV}")
message("ROCM_VERSION_DEV_MAJOR: ${ROCM_VERSION_DEV_MAJOR}")
message("ROCM_VERSION_DEV_MINOR: ${ROCM_VERSION_DEV_MINOR}")
message("ROCM_VERSION_DEV_PATCH: ${ROCM_VERSION_DEV_PATCH}")
message("ROCM_VERSION_DEV_INT: ${ROCM_VERSION_DEV_INT}")
message("\n***** HIP LANGUAGE CONFIG INFO ****\n")
message("CMAKE_HIP_COMPILER: ${CMAKE_HIP_COMPILER}")
message("CMAKE_HIP_ARCHITECTURES: ${CMAKE_HIP_ARCHITECTURES}")
message("CMAKE_HIP_FLAGS: ${CMAKE_HIP_FLAGS}")
string(TOUPPER ${CMAKE_BUILD_TYPE} BUILD_TYPE)
message("CMAKE_HIP_FLAGS_${BUILD_TYPE}: ${CMAKE_HIP_FLAGS_${BUILD_TYPE}}")
add_definitions(-DROCM_VERSION=${ROCM_VERSION_DEV_INT})
if (onnxruntime_USE_COMPOSABLE_KERNEL AND ROCM_VERSION_DEV VERSION_LESS "5.3")
message(WARNING "composable kernel is only supported on ROCm >= 5.3")
set(onnxruntime_USE_COMPOSABLE_KERNEL OFF)
endif()
endif()
# Single output director for all binaries
set(RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin CACHE PATH "Single output directory for all binaries.")
include(FetchContent)
function(set_msvc_c_cpp_compiler_warning_level warning_level)
if (NOT "${warning_level}" MATCHES "^[0-4]$")
message(FATAL_ERROR "Expected warning_level value of 0-4, got '${warning_level}'.")
endif()
if (MSVC)
set(warning_flag "/W${warning_level}")
get_property(opts DIRECTORY PROPERTY COMPILE_OPTIONS)
# only match the generator expression added by this function
list(FILTER opts
EXCLUDE REGEX "^\\$<\\$<OR:\\$<COMPILE_LANGUAGE:C>,\\$<COMPILE_LANGUAGE:CXX>>:/W[0-4]>$")
list(APPEND opts "$<$<COMPILE_LANGUAGE:CXX,C>:${warning_flag}>")
set_property(DIRECTORY PROPERTY COMPILE_OPTIONS "${opts}")
endif()
endfunction()
if(MSVC_Z7_OVERRIDE)
set(CMAKE_MSVC_DEBUG_INFORMATION_FORMAT "$<$<CONFIG:Debug,RelWithDebInfo>:Embedded>")
endif(MSVC_Z7_OVERRIDE)
# set default MSVC warning level to 3 for external dependencies
set_msvc_c_cpp_compiler_warning_level(3)
# Fuzz test has only been tested with BUILD_SHARED_LIB option,
# using the MSVC compiler and on windows OS.
if (MSVC AND WIN32 AND onnxruntime_FUZZ_TEST AND onnxruntime_BUILD_SHARED_LIB AND onnxruntime_USE_FULL_PROTOBUF)
# Fuzz test library dependency, protobuf-mutator,
# needs the onnx message to be compiled using "non-lite protobuf version"
set(onnxruntime_FUZZ_ENABLED ON)
endif()
if (onnxruntime_USE_VALGRIND AND NOT WIN32)
add_definitions(-DRE2_ON_VALGRIND=1)
endif()
if (onnxruntime_ENABLE_NVTX_PROFILE)
add_definitions(-DENABLE_NVTX_PROFILE=1)
endif()
if (onnxruntime_ENABLE_BITCODE)
if (NOT (CMAKE_SYSTEM_NAME STREQUAL "iOS"))
message(FATAL_ERROR "iOS platform required for onnxruntime_ENABLE_BITCODE")
endif()
set(CMAKE_XCODE_ATTRIBUTE_ENABLE_BITCODE YES)
set(CMAKE_XCODE_ATTRIBUTE_BITCODE_GENERATION_MODE "bitcode")
else()
set(CMAKE_XCODE_ATTRIBUTE_ENABLE_BITCODE NO)
endif()
if (onnxruntime_ENABLE_MEMORY_PROFILE)
add_definitions(-DORT_MEMORY_PROFILE=1)
endif()
set(ONNX_ML 1)
if (NOT onnxruntime_ENABLE_PYTHON)
set(onnxruntime_ENABLE_LANGUAGE_INTEROP_OPS OFF)
endif()
if (onnxruntime_ENABLE_LANGUAGE_INTEROP_OPS)
add_compile_definitions(ENABLE_LANGUAGE_INTEROP_OPS)
endif()
if (NOT (UNIX AND onnxruntime_ENABLE_PYTHON AND onnxruntime_ENABLE_TRAINING AND (NOT onnxruntime_BUILD_SHARED_LIB)))
if (onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
message(WARNING "onnxruntime_ENABLE_TRAINING_TORCH_INTEROP is turned OFF due to incompatible build combinations.")
endif()
set(onnxruntime_ENABLE_TRAINING_TORCH_INTEROP OFF)
endif()
if (NOT (UNIX AND onnxruntime_USE_CUDA AND onnxruntime_ENABLE_PYTHON AND onnxruntime_ENABLE_TRAINING AND (NOT onnxruntime_BUILD_SHARED_LIB)))
if (onnxruntime_ENABLE_TRITON)
message(WARNING "onnxruntime_ENABLE_TRITON is turned OFF because it's designed to support CUDA training on Linux only currently.")
endif()
set(onnxruntime_ENABLE_TRITON OFF)
endif()
set(onnxruntime_REQUIRE_PYTHON_EMBED_LIB OFF)
if (onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
add_compile_definitions(ENABLE_TRAINING_TORCH_INTEROP)
# Python::Python is required for building unit test executables.
if (onnxruntime_BUILD_UNIT_TESTS)
set(onnxruntime_REQUIRE_PYTHON_EMBED_LIB ON)
endif()
endif()
if (onnxruntime_ENABLE_TRITON)
# Need SetOutputMLValue.
set(onnxruntime_ENABLE_ATEN ON)
add_compile_definitions(ENABLE_TRITON)
# Python::Python is required for building unit test executables.
if (onnxruntime_BUILD_UNIT_TESTS)
set(onnxruntime_REQUIRE_PYTHON_EMBED_LIB ON)
endif()
endif()
# General C# properties
if (onnxruntime_BUILD_CSHARP)
check_language(CSharp)
if (CMAKE_CSharp_COMPILER)
enable_language(CSharp)
set(CMAKE_CSharp_FLAGS ${CMAKE_CSharp_FLAGS} "/langversion:6")
message(STATUS "CMAKE_Csharp_Compiler = ${CMAKE_CSharp_COMPILER}")
else()
message(WARNING "Language Csharp is not found in the system")
endif()
endif()
if (NOT WIN32)
#TODO: On Linux we may try https://github.com/microsoft/TraceLogging.git
if (onnxruntime_ENABLE_INSTRUMENT)
message(WARNING "Instrument is only supported on Windows now")
set(onnxruntime_ENABLE_INSTRUMENT OFF)
endif()
endif()
# 'extended' implies minimal.
if (onnxruntime_EXTENDED_MINIMAL_BUILD AND NOT onnxruntime_MINIMAL_BUILD)
set(onnxruntime_MINIMAL_BUILD ON)
endif()
include(adjust_global_compile_flags.cmake)
if (APPLE)
if (NOT CMAKE_OSX_ARCHITECTURES)
message("Building ONNX Runtime for ${CMAKE_HOST_SYSTEM_PROCESSOR} CPU ARCH")
endif()
elseif (NOT WIN32 AND NOT APPLE)
message("Building ONNX Runtime for ${onnxruntime_target_platform} CPU ARCH")
endif()
# We need to link with libatomic on systems that do not have built-in atomics, or
# don't have built-in support for 8 byte atomics
# Derived from https://github.com/protocolbuffers/protobuf/blob/master/cmake/CMakeLists.txt
set(onnxruntime_LINK_LIBATOMIC false)
# We don't need to link libatomic on iOS
if (NOT MSVC AND NOT (CMAKE_SYSTEM_NAME STREQUAL "iOS"))
include(CheckCXXSourceCompiles)
set(OLD_CMAKE_REQUIRED_FLAGS ${CMAKE_REQUIRED_FLAGS})
set(CMAKE_REQUIRED_FLAGS ${CMAKE_REQUIRED_FLAGS} -std=c++11)
check_cxx_source_compiles("
#include <atomic>
int main() {
return std::atomic<int64_t>{};
}
" onnxruntime_HAVE_BUILTIN_ATOMICS)
if (NOT onnxruntime_HAVE_BUILTIN_ATOMICS)
set(onnxruntime_LINK_LIBATOMIC true)
endif()
set(CMAKE_REQUIRED_FLAGS ${OLD_CMAKE_REQUIRED_FLAGS})
endif()
set(REPO_ROOT ${PROJECT_SOURCE_DIR}/..)
set(ONNXRUNTIME_ROOT ${PROJECT_SOURCE_DIR}/../onnxruntime)
set(ORTTRAINING_ROOT ${PROJECT_SOURCE_DIR}/../orttraining)
set(ORTTRAINING_SOURCE_DIR ${ORTTRAINING_ROOT}/orttraining)
file (STRINGS "${REPO_ROOT}/VERSION_NUMBER" ORT_VERSION)
find_package(Threads)
# On Windows we directly use Windows APIs to do the job
# Android NDK doesn't provide the iconv lib.
if(NOT WIN32 AND NOT CMAKE_SYSTEM_NAME STREQUAL "Android")
find_package(Iconv REQUIRED)
set(ICONV_LIB Iconv::Iconv)
endif()
find_package(Patch)
if (WIN32 AND NOT Patch_FOUND)
# work around CI machines missing patch from the git install by falling back to the binary in this repo.
# replicate what happens in https://github.com/Kitware/CMake/blob/master/Modules/FindPatch.cmake but without
# the hardcoded suffixes in the path to the patch binary.
find_program(Patch_EXECUTABLE NAMES patch PATHS ${PROJECT_SOURCE_DIR}/external/git.Win32.2.41.03.patch)
if(Patch_EXECUTABLE)
set(Patch_FOUND 1)
if (NOT TARGET Patch::patch)
add_executable(Patch::patch IMPORTED)
set_property(TARGET Patch::patch PROPERTY IMPORTED_LOCATION ${Patch_EXECUTABLE})
endif()
endif()
endif()
if(Patch_FOUND)
message("Patch found: ${Patch_EXECUTABLE}")
endif()
if (CMAKE_CROSSCOMPILING)
message("Doing crosscompiling")
endif()
#Need python to generate def file
if (onnxruntime_BUILD_SHARED_LIB OR onnxruntime_ENABLE_PYTHON)
if (onnxruntime_ENABLE_PYTHON)
if (onnxruntime_ENABLE_LANGUAGE_INTEROP_OPS OR onnxruntime_REQUIRE_PYTHON_EMBED_LIB)
find_package(Python 3.8 COMPONENTS Interpreter Development NumPy)
else()
find_package(Python 3.8 COMPONENTS Interpreter Development.Module NumPy)
endif()
else()
find_package(Python 3.8 COMPONENTS Interpreter)
endif()
endif()
#Dependencies begin
get_filename_component(ONNXRUNTIME_ROOT "${ONNXRUNTIME_ROOT}" ABSOLUTE)
get_filename_component(ORTTRAINING_ROOT "${ORTTRAINING_ROOT}" ABSOLUTE)
get_filename_component(REPO_ROOT "${REPO_ROOT}" ABSOLUTE)
set(ONNXRUNTIME_INCLUDE_DIR ${REPO_ROOT}/include/onnxruntime)
include(external/onnxruntime_external_deps.cmake)
set(ORT_WARNING_FLAGS)
if (WIN32)
# class needs to have dll-interface to be used by clients
list(APPEND ORT_WARNING_FLAGS "/wd4251")
# issued by thrust nonstandard extension used: nameless struct/union
list(APPEND ORT_WARNING_FLAGS "/wd4201")
# structure was padded due to __declspec(align())
list(APPEND ORT_WARNING_FLAGS "/wd4324")
# warning C4800: Implicit conversion from 'X' to bool. Possible information loss
if (onnxruntime_USE_OPENVINO)
list(APPEND ORT_WARNING_FLAGS "/wd4800")
endif()
# operator 'operator-name': deprecated between enumerations of different types
list(APPEND ORT_WARNING_FLAGS "/wd5054")
# Enable warning: data member 'member' will be initialized after data member 'member2' / base class 'base_class'
list(APPEND ORT_WARNING_FLAGS "/w15038")
# set linker flags to minimize the binary size.
if (MSVC)
foreach(type EXE STATIC SHARED)
if (NOT type MATCHES STATIC)
# The WinML internal toolchain does not allow link's "additional options" to contain optimization
# flags (/OPT#); these are already specified using msbuild properties.
if (NOT DEFINED onnxruntime_DISABLE_LINKER_OPT_FLAGS)
set(CMAKE_${type}_LINKER_FLAGS_RELEASE "${CMAKE_${type}_LINKER_FLAGS_RELEASE} /OPT:REF,ICF,LBR")
set(CMAKE_${type}_LINKER_FLAGS_RELEASE "${CMAKE_${type}_LINKER_FLAGS_RELEASE} /INCREMENTAL:NO")
set(CMAKE_${type}_LINKER_FLAGS_RELWITHDEBINFO "${CMAKE_${type}_LINKER_FLAGS_RELWITHDEBINFO} /OPT:REF,ICF,LBR")
set(CMAKE_${type}_LINKER_FLAGS_RELWITHDEBINFO "${CMAKE_${type}_LINKER_FLAGS_RELWITHDEBINFO} /INCREMENTAL:NO")
set(CMAKE_${type}_LINKER_FLAGS_MINSIZEREL "${CMAKE_${type}_LINKER_FLAGS_MINSIZEREL} /OPT:REF,ICF,LBR")
set(CMAKE_${type}_LINKER_FLAGS_MINSIZEREL "${CMAKE_${type}_LINKER_FLAGS_MINSIZEREL} /INCREMENTAL:NO")
endif()
endif()
if (onnxruntime_ENABLE_LTO AND NOT onnxruntime_USE_CUDA)
set(CMAKE_${type}_LINKER_FLAGS_RELEASE "${CMAKE_${type}_LINKER_FLAGS_RELEASE} /LTCG")
set(CMAKE_${type}_LINKER_FLAGS_RELWITHDEBINFO "${CMAKE_${type}_LINKER_FLAGS_RELWITHDEBINFO} /LTCG")
set(CMAKE_${type}_LINKER_FLAGS_MINSIZEREL "${CMAKE_${type}_LINKER_FLAGS_MINSIZEREL} /LTCG")
endif()
endforeach()
endif()
else()
check_cxx_compiler_flag(-Wambiguous-reversed-operator HAS_AMBIGUOUS_REVERSED_OPERATOR)
check_cxx_compiler_flag(-Wbitwise-instead-of-logical HAS_BITWISE_INSTEAD_OF_LOGICAL)
check_cxx_compiler_flag(-Wcast-function-type HAS_CAST_FUNCTION_TYPE)
check_cxx_compiler_flag(-Wcatch-value HAS_CATCH_VALUE)
check_cxx_compiler_flag(-Wclass-memaccess HAS_CLASS_MEMACCESS)
check_cxx_compiler_flag(-Wdeprecated-anon-enum-enum-conversion HAS_DEPRECATED_ANON_ENUM_ENUM_CONVERSION)
check_cxx_compiler_flag(-Wdeprecated-builtins HAS_DEPRECATED_BUILTINS)
check_cxx_compiler_flag(-Wdeprecated-copy HAS_DEPRECATED_COPY)
check_cxx_compiler_flag(-Wdeprecated-declarations HAS_DEPRECATED_DECLARATIONS)
check_cxx_compiler_flag(-Wenum-constexpr-conversion HAS_ENUM_CONSTEXPR_CONVERSION)
check_cxx_compiler_flag(-Wformat-truncation HAS_FORMAT_TRUNCATION)
check_cxx_compiler_flag(-Wignored-attributes HAS_IGNORED_ATTRIBUTES)
check_cxx_compiler_flag(-Wmaybe-uninitialized HAS_MAYBE_UNINITIALIZED)
check_cxx_compiler_flag(-Wmissing-braces HAS_MISSING_BRACES)
check_cxx_compiler_flag(-Wnonnull-compare HAS_NONNULL_COMPARE)
check_cxx_compiler_flag(-Wparentheses HAS_PARENTHESES)
check_cxx_compiler_flag(-Wshorten-64-to-32 HAS_SHORTEN_64_TO_32)
check_cxx_compiler_flag(-Wstrict-aliasing HAS_STRICT_ALIASING)
check_nvcc_compiler_flag(-Wstrict-aliasing NVCC_HAS_STRICT_ALIASING)
check_cxx_compiler_flag(-Wtautological-pointer-compare HAS_TAUTOLOGICAL_POINTER_COMPARE)
check_cxx_compiler_flag(-Wundefined-var-template HAS_UNDEFINED_VAR_TEMPLATE)
check_cxx_compiler_flag(-Wunused-but-set-parameter HAS_UNUSED_BUT_SET_PARAMETER)
check_cxx_compiler_flag(-Wunused-but-set-variable HAS_UNUSED_BUT_SET_VARIABLE)
check_cxx_compiler_flag(-Wunused-variable HAS_UNUSED_VARIABLE)
check_cxx_compiler_flag(-Wuseless-cast HAS_USELESS_CAST)
check_cxx_compiler_flag(-Wstringop-overflow HAS_STRINGOP_OVERFLOW)
check_function_exists(reallocarray HAS_REALLOCARRAY)
if (NOT APPLE AND NOT CMAKE_SYSTEM_NAME STREQUAL "Emscripten" AND onnxruntime_target_platform STREQUAL "aarch64")
check_cxx_compiler_flag(-march=armv8.2-a+bf16 HAS_ARM64_BFLOAT16)
if(NOT HAS_ARM64_BFLOAT16)
message(FATAL_ERROR "The compiler doesn't support BFLOAT16!!!")
endif()
check_cxx_compiler_flag(-march=armv8.2-a+fp16 HAS_ARM64_FLOAT16)
if(NOT HAS_ARM64_FLOAT16)
message(FATAL_ERROR "The compiler doesn't support FLOAT16!!!")
endif()
endif()
if (HAS_TAUTOLOGICAL_POINTER_COMPARE)
#we may have extra null pointer checkings in debug build, it's not an issue
list(APPEND ORT_WARNING_FLAGS -Wno-tautological-pointer-compare)
endif()
if (HAS_NONNULL_COMPARE)
#we may have extra null pointer checkings in debug build, it's not an issue
list(APPEND ORT_WARNING_FLAGS -Wno-nonnull-compare)
endif()
if (HAS_AMBIGUOUS_REVERSED_OPERATOR)
list(APPEND ORT_WARNING_FLAGS -Wno-ambiguous-reversed-operator)
endif()
if (HAS_DEPRECATED_ANON_ENUM_ENUM_CONVERSION)
list(APPEND ORT_WARNING_FLAGS -Wno-deprecated-anon-enum-enum-conversion)
endif()
if (HAS_UNDEFINED_VAR_TEMPLATE)
list(APPEND ORT_WARNING_FLAGS -Wno-undefined-var-template)
endif()
if (HAS_DEPRECATED_BUILTINS)
list(APPEND ORT_WARNING_FLAGS -Wno-deprecated-builtins)
endif()
#see:https://reviews.llvm.org/D131307
#It was intended that the 'enum-constexpr-conversion' type warnings can not be silenced by -w
if(HAS_ENUM_CONSTEXPR_CONVERSION AND NOT Protobuf_FOUND)
if (TARGET libprotobuf)
target_compile_options(libprotobuf PRIVATE "-Wno-enum-constexpr-conversion")
endif()
if (TARGET libprotobuf-lite)
target_compile_options(libprotobuf-lite PRIVATE "-Wno-enum-constexpr-conversion")
endif()
endif()
# enable warning(s) that may not be on by default
if (HAS_SHORTEN_64_TO_32)
list(APPEND ORT_WARNING_FLAGS -Wshorten-64-to-32)
endif()
endif()
#names in this var must match the directory names under onnxruntime/core/providers
#ONNXRUNTIME_PROVIDER_NAMES is the list of providers that needs to export additional symbols in the global namespace.
#For example CUDA EP exports "OrtSessionOptionsAppendExecutionProvider_CUDA", which is a global function.
#However, all these things are legacy and deprecated and should be replaced with functions in onnxruntime_c_api.h.
set(ONNXRUNTIME_PROVIDER_NAMES cpu)
set(ORT_PROVIDER_FLAGS)
set(ORT_PROVIDER_CMAKE_FLAGS)
if (onnxruntime_USE_CUDA)
if (onnxruntime_USE_CUDA_NHWC_OPS)
add_compile_definitions(ENABLE_CUDA_NHWC_OPS)
endif()
enable_language(CUDA)
message( STATUS "CMAKE_CUDA_COMPILER_VERSION: ${CMAKE_CUDA_COMPILER_VERSION}")
if (onnxruntime_DISABLE_CONTRIB_OPS)
set(onnxruntime_USE_FLASH_ATTENTION OFF)
set(onnxruntime_USE_MEMORY_EFFICIENT_ATTENTION OFF)
endif()
if (CMAKE_CUDA_COMPILER_VERSION VERSION_LESS 11.6)
message( STATUS "Turn off flash attention since CUDA compiler version < 11.6")
set(onnxruntime_USE_FLASH_ATTENTION OFF)
set(onnxruntime_USE_MEMORY_EFFICIENT_ATTENTION OFF)
endif()
if (CMAKE_CUDA_COMPILER_VERSION VERSION_LESS 11.4)
message( FATAL_ERROR "Failed build due to CUDA compiler version < 11.4")
endif()
else()
set(onnxruntime_USE_FLASH_ATTENTION OFF)
set(onnxruntime_USE_MEMORY_EFFICIENT_ATTENTION OFF)
endif()
if (onnxruntime_USE_CUDA)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_CUDA=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_CUDA=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES cuda)
if (onnxruntime_USE_FLASH_ATTENTION)
message( STATUS "Enable flash attention for CUDA EP")
list(APPEND ORT_PROVIDER_FLAGS -DUSE_FLASH_ATTENTION=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_FLASH_ATTENTION=1)
endif()
if (onnxruntime_USE_MEMORY_EFFICIENT_ATTENTION)
message( STATUS "Enable memory efficient attention for CUDA EP")
list(APPEND ORT_PROVIDER_FLAGS -DUSE_MEMORY_EFFICIENT_ATTENTION=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_MEMORY_EFFICIENT_ATTENTION=1)
endif()
endif()
if (onnxruntime_USE_VITISAI)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_VITISAI=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_VITISAI=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES vitisai)
endif()
if (onnxruntime_USE_DNNL)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_DNNL=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES dnnl)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_DNNL=1)
endif()
if (onnxruntime_USE_OPENVINO)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_OPENVINO=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES openvino)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_OPENVINO=1)
endif()
if (onnxruntime_USE_TENSORRT)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_TENSORRT=1)
#TODO: remove the following line and change the test code in onnxruntime_shared_lib_test to use the new EP API.
list(APPEND ONNXRUNTIME_PROVIDER_NAMES tensorrt)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_TENSORRT=1)
endif()
if (onnxruntime_USE_RKNPU)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_RKNPU=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_RKNPU=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES rknpu)
endif()
if (onnxruntime_USE_NNAPI_BUILTIN)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_NNAPI=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_NNAPI_BUILTIN=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES nnapi)
endif()
if (onnxruntime_USE_JSEP)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_JSEP=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_JSEP=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES js)
endif()
if (onnxruntime_USE_QNN)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_QNN=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_QNN=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES qnn)
endif()
if (onnxruntime_USE_SNPE)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_SNPE=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES snpe)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_SNPE=1)
endif()
if (onnxruntime_USE_TVM)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_TVM=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_TVM=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES tvm)
endif()
if (onnxruntime_USE_WINML)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_WINML=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_WINML=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES winml)
endif()
if (onnxruntime_USE_ACL)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_ACL=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_ACL=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES acl)
endif()
if (onnxruntime_USE_DML)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_DML=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_DML=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES dml)
endif()
if (onnxruntime_USE_MIGRAPHX)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_MIGRAPHX=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_MIGRAPHX=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES migraphx)
endif()
if (onnxruntime_USE_ARMNN)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_ARMNN=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_ARMNN=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES armnn)
endif()
if (onnxruntime_USE_ROCM)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_ROCM=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_ROCM=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES rocm)
endif()
if (onnxruntime_USE_COREML)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_COREML=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_COREML=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES coreml)
endif()
if (onnxruntime_USE_XNNPACK)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_XNNPACK=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_XNNPACK=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES xnnpack)
endif()
if (onnxruntime_USE_WEBNN)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_WEBNN=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_WEBNN=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES webnn)
endif()
if (onnxruntime_USE_CANN)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_CANN=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_CANN=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES cann)
endif()
if (onnxruntime_USE_AZURE)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_AZURE=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_AZURE=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES azure)
endif()
if (onnxruntime_USE_LOCK_FREE_QUEUE)
add_compile_definitions(USE_LOCK_FREE_QUEUE)
endif()
if (onnxruntime_ENABLE_LAZY_TENSOR)
# To support LazyTensor, ORT needs to call Python function from C/C++.
# so onnxruntime_ENABLE_PYTHON is required.
if (NOT onnxruntime_ENABLE_TRAINING OR NOT onnxruntime_ENABLE_PYTHON)
message(
FATAL_ERROR
"Option onnxruntime_ENABLE_LAZY_TENSOR can only be set when onnxruntime_ENABLE_TRAINING and onnxruntime_ENABLE_PYTHON are enabled")
endif()
# TODO: In the future, we can compile LazyTensor into a standalone
# library target, onnxruntime_lazy_tensor, to make the buid
# cleaner.
endif()
function(onnxruntime_set_compile_flags target_name)
if (CPUINFO_SUPPORTED)
onnxruntime_add_include_to_target(${target_name} cpuinfo::cpuinfo)
endif()
if(onnxruntime_ENABLE_LAZY_TENSOR)
target_compile_definitions(${target_name} PRIVATE ENABLE_LAZY_TENSOR)
endif()
if (onnxruntime_ENABLE_CPU_FP16_OPS)
target_compile_definitions(${target_name} PRIVATE ENABLE_CPU_FP16_TRAINING_OPS)
endif()
if(onnxruntime_DISABLE_ABSEIL)
target_compile_definitions(${target_name} PRIVATE DISABLE_ABSEIL)
endif()
if(UNIX)
target_compile_definitions(${target_name} PRIVATE PLATFORM_POSIX)
endif()
target_compile_definitions(${target_name} PRIVATE EIGEN_USE_THREADS)
if (onnxruntime_DISABLE_CONTRIB_OPS)
target_compile_definitions(${target_name} PRIVATE DISABLE_CONTRIB_OPS)
endif()
if (onnxruntime_DISABLE_ML_OPS)
target_compile_definitions(${target_name} PRIVATE DISABLE_ML_OPS)
endif()
if (onnxruntime_DISABLE_SPARSE_TENSORS)
target_compile_definitions(${target_name} PRIVATE DISABLE_SPARSE_TENSORS)
endif()
if (onnxruntime_DISABLE_OPTIONAL_TYPE)
target_compile_definitions(${target_name} PRIVATE DISABLE_OPTIONAL_TYPE)
endif()
if (onnxruntime_DISABLE_FLOAT8_TYPES)
target_compile_definitions(${target_name} PRIVATE DISABLE_FLOAT8_TYPES)
endif()
if (onnxruntime_ENABLE_ATEN)
target_compile_definitions(${target_name} PRIVATE ENABLE_ATEN)
endif()
if(USE_NEURAL_SPEED)
target_compile_definitions(${target_name} PRIVATE ORT_NEURAL_SPEED)
endif()
set_target_properties(${target_name} PROPERTIES COMPILE_WARNING_AS_ERROR ON)
if (onnxruntime_USE_CUDA)
# Suppress a "conversion_function_not_usable" warning in gsl/span
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:-Xcudafe \"--diag_suppress=conversion_function_not_usable\">")
target_compile_definitions(${target_name} PRIVATE -DDISABLE_CUSPARSE_DEPRECATED)
endif()
if (MSVC)
foreach(CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORY ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES})
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CXX,C>:/external:I${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORY}>")
endforeach()
foreach(onnxruntime_external_lib IN LISTS onnxruntime_EXTERNAL_LIBRARIES)
#TODO: the list contains cmake keywords like "debug". We should exclude them.
if(TARGET ${onnxruntime_external_lib})
get_target_property(onnxruntime_external_lib_include_dirs ${onnxruntime_external_lib} INTERFACE_INCLUDE_DIRECTORIES)
foreach(onnxruntime_external_lib_include_dir IN LISTS onnxruntime_external_lib_include_dirs)
if(onnxruntime_external_lib_include_dir MATCHES "^\\$")
if(onnxruntime_external_lib_include_dir MATCHES "^\\$<BUILD_INTERFACE:([^>]+)>$")
string(REGEX REPLACE "^\\$<BUILD_INTERFACE:([^>]+)>$" "\\1" onnxruntime_external_lib_include_dir_cmake "${onnxruntime_external_lib_include_dir}")
cmake_path(NATIVE_PATH onnxruntime_external_lib_include_dir_cmake NORMALIZE onnxruntime_external_lib_include_dir_native)
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CXX,C>:/external:I${onnxruntime_external_lib_include_dir_native}>")
endif()
else()
cmake_path(NATIVE_PATH onnxruntime_external_lib_include_dir NORMALIZE onnxruntime_external_lib_include_dir_native)
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CXX,C>:/external:I${onnxruntime_external_lib_include_dir_native}>")
endif()
endforeach()
endif()
endforeach()
target_compile_definitions(${target_name} PRIVATE -DPLATFORM_WINDOWS -DNOGDI -DNOMINMAX -D_USE_MATH_DEFINES -D_SILENCE_ALL_CXX17_DEPRECATION_WARNINGS)
if (onnxruntime_ENABLE_MEMLEAK_CHECKER)
target_compile_definitions(${target_name} PRIVATE -DONNXRUNTIME_ENABLE_MEMLEAK_CHECK)
endif()
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options /utf-8>" "$<$<COMPILE_LANGUAGE:CXX,C>:/utf-8>")
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options /sdl>" "$<$<COMPILE_LANGUAGE:CXX,C>:/sdl>")
set_target_properties(${target_name}
PROPERTIES VS_GLOBAL_CAExcludePath "${ORT_BINARY_DIR};${ORT_SOURCE_DIR}")
# We do not treat warnings from 3rd-party libraries as errors. In order to do that, we need to add their header files locations to /external:I.
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CXX,C>:/experimental:external>" "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options /experimental:external>")
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CXX,C>:/external:W0>" "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options /external:W0>")
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CXX,C>:/external:templates->" "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options /external:templates->")
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CXX,C>:/external:I${CMAKE_CURRENT_SOURCE_DIR}>" "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options /external:I${CMAKE_CURRENT_SOURCE_DIR}>")
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CXX,C>:/external:I${CMAKE_CURRENT_BINARY_DIR}>" "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options /external:I${CMAKE_CURRENT_BINARY_DIR}>")
if (onnxruntime_ENABLE_STATIC_ANALYSIS)
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options /analyze>" "$<$<COMPILE_LANGUAGE:CXX,C>:/analyze>")
if (onnxruntime_REDIRECT_STATIC_ANALYSIS_OUTPUTS_TO_FILE)
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options /analyze:autolog:ext.sarif>" "$<$<COMPILE_LANGUAGE:CXX,C>:/analyze:autolog:ext.sarif>")
endif()
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options /analyze:external->" "$<$<COMPILE_LANGUAGE:CXX,C>:/analyze:external->")
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options /wd6385>" )
# There are many such warnings from STL:
# include\list(148): warning C6011: Dereferencing NULL pointer '_Mycont'. : Lines: 146, 147, 148
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options /wd6011>" )
endif()
else()
# Enable warning
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options -Wall>" "$<$<NOT:$<COMPILE_LANGUAGE:CUDA>>:-Wall>")
target_compile_options(${target_name} PRIVATE "$<$<NOT:$<COMPILE_LANGUAGE:CUDA>>:-Wextra>")
if (CMAKE_CXX_COMPILER_ID STREQUAL "Clang" OR CMAKE_CXX_COMPILER_ID STREQUAL "AppleClang")
#external/protobuf/src/google/protobuf/arena.h:445:18: error: unused parameter 'p'
target_compile_options(${target_name} PRIVATE "-Wno-unused-parameter")
endif()
target_compile_definitions(${target_name} PUBLIC -DNSYNC_ATOMIC_CPP11)
onnxruntime_add_include_to_target(${target_name} nsync::nsync_cpp)
endif()
foreach(ORT_FLAG ${ORT_PROVIDER_FLAGS})
target_compile_definitions(${target_name} PRIVATE ${ORT_FLAG})
endforeach()
if (HAS_DEPRECATED_COPY)
#too many such errors in eigen
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options -Wno-deprecated-copy>" "$<$<COMPILE_LANGUAGE:CXX>:-Wno-deprecated-copy>")
endif()
foreach(FLAG ${ORT_WARNING_FLAGS})
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CXX>:${FLAG}>")
endforeach()
if (onnxruntime_USE_CUDA)
foreach(FLAG ${ORT_WARNING_FLAGS})
target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options ${FLAG}>")
endforeach()