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CMakeLists.txt
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CMakeLists.txt
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cmake_minimum_required (VERSION 3.6)
include(cmake/Utils.cmake)
include(3rdparty/tvm/cmake/utils/Utils.cmake)
include(3rdparty/tvm/cmake/utils/FindCUDA.cmake)
# Option for Android on Arm --- has to come before project() function
option(ANDROID_BUILD "Build for Android target" OFF)
option(AAR_BUILD "Build Android Archive (AAR)" OFF)
option(DLR_BUILD_TESTS "Build DLR tests" ON)
option(DLR_STATIC_LIBSTDCPP "Use -static-libstdc++" OFF)
if(ANDROID_BUILD)
set(ANDROID_SYSROOT "${NDK_ROOT}/sysroot")
if(NOT ANDROID_PLATFORM AND NOT ANDROID_NATIVE_API_LEVEL)
set(ANDROID_PLATFORM "android-21")
message(STATUS "ANDROID_PLATFORM not set. Defaulting to android-21")
endif()
endif(ANDROID_BUILD)
project(dlr VERSION 1.10.0 LANGUAGES C CXX)
message(STATUS "dlr version: ${dlr_VERSION}")
# The following lines should be after project()
set_default_configuration_release()
msvc_use_static_runtime()
message(STATUS "CMAKE_BUILD_TYPE: " ${CMAKE_BUILD_TYPE})
set(CMAKE_LOCAL "${PROJECT_SOURCE_DIR}/cmake")
# CMAKE_CXX_STANDARD_INCLUDE_DIRECTORIES stuff should go after project() function
if(ANDROID_BUILD)
# Disable debugging info for Release build by setting -g level to 0. It will reduce libdlr.so size by a factor of 3.
# NDK Issue https://github.com/android/ndk/issues/243
if (CMAKE_BUILD_TYPE STREQUAL "Release")
string(REPLACE "-g " "-g0 " CMAKE_C_FLAGS ${CMAKE_C_FLAGS})
string(REPLACE "-g " "-g0 " CMAKE_CXX_FLAGS ${CMAKE_CXX_FLAGS})
string(REPLACE "-g " "-g0 " CMAKE_ASM_FLAGS ${CMAKE_ASM_FLAGS})
endif()
# Add ARCH specific header folder to CMAKE_CXX_STANDARD_INCLUDE_DIRECTORIES
if (ANDROID_ABI STREQUAL "x86_64")
list(APPEND CMAKE_CXX_STANDARD_INCLUDE_DIRECTORIES ${ANDROID_SYSROOT}/usr/include/x86_64-linux-android)
elseif (ANDROID_ABI STREQUAL "x86")
list(APPEND CMAKE_CXX_STANDARD_INCLUDE_DIRECTORIES ${ANDROID_SYSROOT}/usr/include/i686-linux-android)
elseif (ANDROID_ABI STREQUAL "arm64-v8a")
list(APPEND CMAKE_CXX_STANDARD_INCLUDE_DIRECTORIES ${ANDROID_SYSROOT}/usr/include/aarch64-linux-android)
else() # Default to armv7a which matches NDK toolchain.cmake behavior
list(APPEND CMAKE_CXX_STANDARD_INCLUDE_DIRECTORIES ${ANDROID_SYSROOT}/usr/include/arm-linux-androideabi)
endif()
message(STATUS "CMAKE_CXX_STANDARD_INCLUDE_DIRECTORIES: ${CMAKE_CXX_STANDARD_INCLUDE_DIRECTORIES}")
message(STATUS "Android CMAKE_C_FLAGS: " ${CMAKE_C_FLAGS})
message(STATUS "Android CMAKE_CXX_FLAGS: " ${CMAKE_CXX_FLAGS})
message(STATUS "Android CMAKE_ASM_FLAGS: " ${CMAKE_ASM_FLAGS})
endif(ANDROID_BUILD)
# Options
option(USE_OPENCL "Build with OpenCL" OFF)
option(USE_CUDA "Build with CUDA" OFF)
option(USE_CUDNN "Build with CUDNN" OFF)
option(USE_TENSORRT "Build with Tensor RT" OFF)
option(ENABLE_DATATRANSFORM "Enable datatransform for Sagemaker-scikit-learn-extension models" OFF)
option(USE_OPENMP OFF)
option(USE_MKL "Build with MKL, set to ON or path to MKL" OFF)
option(USE_MLAS OFF)
# Use RPATH on Mac OS X as flexible mechanism for locating dependencies
# See https://blog.kitware.com/upcoming-in-cmake-2-8-12-osx-rpath-support/
set(CMAKE_MACOSX_RPATH TRUE)
set(python-build "bp3-python setup.py build")
option(TEST_COVERAGE "C++ test coverage" OFF)
# Compiler flags
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
# --exclude-libs is not available on Windows and macOS. As such, Windows and
# Mac do not support the creation of multiple DLRModel instances (in Python) in
# case model folders have their own libdlr.so.
if (WIN32 OR APPLE)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
else()
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wl,--exclude-libs,ALL")
endif()
set(CMAKE_POSITION_INDEPENDENT_CODE ON)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -funroll-loops")
set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS}")
if(TEST_COVERAGE)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g -O0 -fprofile-arcs -ftest-coverage")
endif()
set(DLR_LINKER_LIBS "")
if (MSVC)
add_definitions(-DTVM_EXPORTS)
endif()
set(TVM_SRC "${PROJECT_SOURCE_DIR}/3rdparty/tvm")
set(JSON_SRC "${PROJECT_SOURCE_DIR}/3rdparty/json")
set(DLFCN_WIN32 "${PROJECT_SOURCE_DIR}/3rdparty/dlfcn-win32")
set(LIBNPY_SRC "${PROJECT_SOURCE_DIR}/3rdparty/libnpy")
set(TREELITE_SRC "${PROJECT_SOURCE_DIR}/3rdparty/treelite")
set(DMLC_CORE_SRC "${TVM_SRC}/3rdparty/dmlc-core")
set(DLPACK_SRC "${TVM_SRC}/3rdparty/dlpack")
include_directories("${TVM_SRC}/include")
include_directories("${TVM_SRC}/src/runtime")
include_directories("${DLPACK_SRC}/include")
include_directories("${DMLC_CORE_SRC}/include")
include_directories("${TREELITE_SRC}/include")
include_directories("${PROJECT_SOURCE_DIR}/include")
include_directories("${JSON_SRC}")
# Add only top level *.cc files (non-RECURSE)
FILE(GLOB DLR_SRC
"src/*.cc"
${TVM_SRC}/src/runtime/dso_library.cc
${TVM_SRC}/src/runtime/cpu_device_api.cc
${TVM_SRC}/src/runtime/metadata_module.cc
${TVM_SRC}/src/runtime/contrib/sort/sort.cc
)
if(NOT(ENABLE_DATATRANSFORM))
list(REMOVE_ITEM DLR_SRC ${CMAKE_CURRENT_SOURCE_DIR}/src/dlr_data_transform.cc)
endif()
if(USE_OPENCL)
message("USING OpenCL")
if(USE_OPENCL STREQUAL "ON")
find_package(OpenCL QUIET)
if(NOT OpenCL_FOUND)
message(FATAL_ERROR "OpenCL not found, please specify OpenCL location with -DUSE_OPENCL=/path/to/OpenCL")
endif(NOT OpenCL_FOUND)
else()
set(OpenCL_TOOLKIT_ROOT_DIR ${USE_OPENCL})
message(STATUS "Custom OPENCL_PATH=" ${OpenCL_TOOLKIT_ROOT_DIR})
set(OpenCL_INCLUDE_DIRS ${OpenCL_TOOLKIT_ROOT_DIR}/include)
set(OpenCL_LIBRARIES ${USE_OPENCL}/lib/libOpenCL.so)
endif(USE_OPENCL STREQUAL "ON")
include_directories(${OpenCL_INCLUDE_DIRS})
list(APPEND DLR_LINKER_LIBS ${OpenCL_LIBRARIES})
file(GLOB RUNTIME_OPENCL_SRCS ${TVM_SRC}/src/runtime/opencl/*.cc)
list(APPEND DLR_SRC ${RUNTIME_OPENCL_SRCS})
set(USE_OPENCL OFF)
endif(USE_OPENCL)
if(USE_CUDA)
message("USING CUDA")
find_cuda(${USE_CUDA} ${USE_CUDNN})
if(NOT CUDA_FOUND)
message(FATAL_ERROR "CUDA not found, please specify CUDA location with -DUSE_CUDA=/path/to/cuda/")
endif(NOT CUDA_FOUND)
if (NOT USE_CUDA STREQUAL "ON")
set(CUDA_TOOLKIT_ROOT_DIR ${USE_CUDA})
endif(NOT USE_CUDA STREQUAL "ON")
message(STATUS "Custom CUDA_PATH=" ${CUDA_TOOLKIT_ROOT_DIR})
set(CUDA_INCLUDE_DIRS ${CUDA_TOOLKIT_ROOT_DIR}/include)
include_directories(${CUDA_INCLUDE_DIRS})
find_library(_CUDA_CUDA_LIBRARY cuda
PATHS ${CUDA_TOOLKIT_ROOT_DIR}
PATH_SUFFIXES lib lib64 lib64/stubs)
message(STATUS "CUDA_CUDA_LIBRARY: " ${_CUDA_CUDA_LIBRARY})
if(_CUDA_CUDA_LIBRARY)
set(CUDA_CUDA_LIBRARY ${_CUDA_CUDA_LIBRARY})
endif()
find_library(CUDA_CUDART_LIBRARY cudart
PATHS ${CUDA_TOOLKIT_ROOT_DIR}
PATH_SUFFIXES lib lib64)
message(STATUS "CUDA_CUDART_LIBRARY: " ${CUDA_CUDART_LIBRARY})
list(APPEND DLR_LINKER_LIBS ${CUDA_CUDART_LIBRARY})
list(APPEND DLR_LINKER_LIBS ${CUDA_CUDA_LIBRARY})
list(APPEND DLR_LINKER_LIBS ${CUDA_NVRTC_LIBRARY})
file(GLOB RUNTIME_CUDA_SRCS ${TVM_SRC}/src/runtime/cuda/*.cc)
# Thrust is used to improve NMS performance.
message(STATUS "Build with Thrust support")
cmake_minimum_required(VERSION 3.13) # to compile CUDA code
set(CMAKE_CUDA_COMPILER ${CUDA_TOOLKIT_ROOT_DIR}/bin/nvcc)
if(NOT DEFINED CMAKE_CUDA_STANDARD)
set(CMAKE_CUDA_STANDARD 14)
set(CMAKE_CUDA_STANDARD_REQUIRED ON)
endif()
enable_language(CUDA)
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --expt-extended-lambda")
file(GLOB CONTRIB_THRUST_SRC ${TVM_SRC}/src/runtime/contrib/thrust/*.cu)
list(APPEND RUNTIME_CUDA_SRCS ${CONTRIB_THRUST_SRC})
list(APPEND DLR_SRC ${RUNTIME_CUDA_SRCS})
set(USE_CUDA OFF)
endif()
if(USE_CUDNN)
message("USING CUDNN")
set(USE_CUDNN ${USE_CUDA})
set(CUDNN_TOOLKIT_ROOT_DIR ${USE_CUDNN})
message(STATUS "Custom CUDNN_PATH=" ${CUDNN_TOOLKIT_ROOT_DIR})
find_library(CUDA_CUDNN_LIBRARY cudnn
PATH ${CUDNN_TOOLKIT_ROOT_DIR}
PATH_SUFFIXES lib lib64)
if (CUDA_CUDNN_LIBRARY MATCHES "NOTFOUND")
set(CUDA_CUDNN_LIBRARY ${USE_CUDNN}/lib64/libcudnn.so)
endif()
message(STATUS "CUDA_CUDNN_LIBRARY: " ${CUDA_CUDNN_LIBRARY})
list(APPEND DLR_LINKER_LIBS ${CUDA_CUDNN_LIBRARY})
file(GLOB CONTRIB_CUDNN_SRCS ${TVM_SRC}/src/contrib/cudnn/*.cc)
list(APPEND RUNTIME_SRCS ${CONTRIB_CUDNN_SRCS})
set(USE_CUDNN_OFF)
endif()
if(USE_TENSORRT)
message("USING TENSORRT")
if(IS_DIRECTORY ${USE_TENSORRT})
set(TENSORRT_ROOT_DIR ${USE_TENSORRT})
message(STATUS "Custom TensorRT path: " ${TENSORRT_ROOT_DIR})
endif()
find_path(TENSORRT_INCLUDE_DIR NvInfer.h HINTS ${TENSORRT_ROOT_DIR} PATH_SUFFIXES include)
find_library(TENSORRT_LIB_DIR nvinfer HINTS ${TENSORRT_ROOT_DIR} PATH_SUFFIXES lib)
include(FindPackageHandleStandardArgs)
find_package_handle_standard_args(TENSORRT DEFAULT_MSG TENSORRT_INCLUDE_DIR TENSORRT_LIB_DIR)
if(NOT TENSORRT_FOUND)
message(FATAL_ERROR "Could not find TensorRT.")
endif()
message(STATUS "TENSORRT_LIB_DIR: " ${TENSORRT_LIB_DIR})
include_directories(${TENSORRT_INCLUDE_DIR})
list(APPEND DLR_LINKER_LIBS ${TENSORRT_LIB_DIR})
# TRT runtime sources
file(GLOB RUNTIME_TENSORRT_SRCS ${TVM_SRC}/src/runtime/contrib/tensorrt/*.cc)
set_source_files_properties(${RUNTIME_TENSORRT_SRCS} PROPERTIES COMPILE_FLAGS "-Wno-deprecated-declarations")
list(APPEND DLR_SRC ${RUNTIME_TENSORRT_SRCS})
# Set defines
add_definitions(-DTVM_GRAPH_EXECUTOR_TENSORRT)
set(USE_TENSORRT OFF)
endif()
if(WITH_TENSORFLOW2_LIB)
if(NOT TENSORFLOW2_INCLUDE)
message(FATAL_ERROR "TENSORFLOW2_INCLUDE is required.")
endif()
message(STATUS "Building WITH_TENSORFLOW2_LIB: ${WITH_TENSORFLOW2_LIB}")
message(STATUS "TENSORFLOW2_INCLUDE: ${TENSORFLOW2_INCLUDE}")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DDLR_TENSORFLOW2")
if(CMAKE_HOST_SYSTEM_NAME MATCHES "Linux")
# https://discuss.tensorflow.org/t/do-you-have-plan-to-remove-cxxopt-d-glibcxx-use-cxx11-abi-0-in-build/7530
execute_process(COMMAND nm -D ${WITH_TENSORFLOW2_LIB}/libtensorflow.so
COMMAND grep protobuf.*fixed_address_empty_string.*cxx11
COMMAND wc -l
OUTPUT_VARIABLE IS_TF_USE_CXX11_ABI)
if(${IS_TF_USE_CXX11_ABI} EQUAL "0")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -D_GLIBCXX_USE_CXX11_ABI=0")
message(WARNING "[WITH_TENSORFLOW2_LIB] Using CXX_FLAG -D_GLIBCXX_USE_CXX11_ABI=0")
endif()
endif()
include_directories("${TENSORFLOW2_INCLUDE}" "${TENSORFLOW2_INCLUDE}/src")
list(APPEND DLR_SRC "src/dlr_tensorflow2/dlr_tensorflow2.cc")
list(APPEND DLR_LINKER_LIBS -L${WITH_TENSORFLOW2_LIB} -ltensorflow -ltensorflow_framework)
endif()
if(WITH_HEXAGON)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DDLR_HEXAGON")
list(APPEND DLR_SRC "src/dlr_hexagon/dlr_hexagon.cc")
endif()
if(ENABLE_DATATRANSFORM)
add_definitions(-DENABLE_DATATRANSFORM)
endif()
if(AAR_BUILD)
list(APPEND DLR_SRC "src/jni/dlr_jni.cc")
endif()
if(USE_MKL)
if(NOT IS_DIRECTORY ${USE_MKL})
set(USE_MKL /opt/intel/oneapi/mkl/latest)
endif()
if(APPLE)
find_library(BLAS_LIBRARY_MKL NAMES mklml mkl_rt HINTS ${USE_MKL}/lib/ ${USE_MKL}/lib/intel64)
elseif(UNIX)
find_library(BLAS_LIBRARY_MKL NAMES mkl_rt mklml_gnu HINTS ${USE_MKL}/lib/ ${USE_MKL}/lib/intel64)
elseif(MSVC)
find_library(BLAS_LIBRARY_MKL NAMES mkl_rt HINTS ${USE_MKL}/lib/ ${USE_MKL}/lib/intel64_win)
endif()
include_directories(SYSTEM ${USE_MKL}/include)
list(APPEND DLR_LINKER_LIBS ${BLAS_LIBRARY_MKL})
list(APPEND DLR_SRC ${TVM_SRC}/src/runtime/contrib/cblas/mkl.cc)
add_definitions(-DUSE_MKL_BLAS=1)
message(STATUS "Use MKL library " ${BLAS_LIBRARY_MKL})
endif()
if(USE_MLAS)
message(STATUS "Build with MLAS library")
if (NOT (USE_OPENMP STREQUAL "gnu" OR USE_OPENMP STREQUAL "intel"))
message(FATAL_ERROR "MLAS library must be built with USE_OPENMP=gnu or USE_OPENMP=intel")
endif()
file(GLOB RUNTIME_MLAS_SRCS ${TVM_SRC}/src/runtime/contrib/mlas/*.cc)
list(APPEND DLR_SRC ${RUNTIME_MLAS_SRCS})
list(APPEND DLR_LINKER_LIBS onnxruntime_mlas_static)
include_directories(${TVM_SRC}/3rdparty/mlas/inc)
endif()
set(MAIN_EXEC "")
FILE(GLOB MAIN_SRC src/*.cc)
set(USE_LIBBACKTRACE OFF)
add_subdirectory(${TVM_SRC} EXCLUDE_FROM_ALL)
# Ask Treelite to add_library treelite_runtime_static
set(BUILD_STATIC_LIBS_SAVED "${BUILD_STATIC_LIBS}") # Save BUILD_STATIC_LIBS
set(BUILD_STATIC_LIBS ON)
add_subdirectory(${TREELITE_SRC} EXCLUDE_FROM_ALL)
set(BUILD_STATIC_LIBS "${BUILD_STATIC_LIBS_SAVED}") # Restore BUILD_STATIC_LIBS
add_library(objdlr OBJECT ${DLR_SRC})
target_compile_definitions(objdlr PUBLIC DMLC_USE_LOGGING_LIBRARY=<tvm/runtime/logging.h>)
target_compile_definitions(objdlr PRIVATE TVM_USE_LIBBACKTRACE=0)
#shared_library
find_package(Threads)
set(THREADS_PREFER_PTHREAD_FLAG TRUE)
add_library(dlr SHARED $<TARGET_OBJECTS:objdlr>)
set_output_directory(dlr ${CMAKE_BINARY_DIR}/lib)
set_target_properties(dlr PROPERTIES LINKER_LANGUAGE CXX)
message(STATUS "DLR_LINKER_LIBS: " ${DLR_LINKER_LIBS})
# --exclude-libs is not available on Windows and macOS. As such, Windows and
# Mac do not support the creation of multiple DLRModel instances (in Python) in
# case model folders have their own libdlr.so.
if(WIN32 OR APPLE)
message(STATUS "Loading of multiple different DLR shared libraries in Python session is not supported on Windows and Mac")
else()
target_link_libraries(dlr PRIVATE "-Wl,--exclude-libs,ALL")
endif()
target_link_libraries(dlr PRIVATE treelite_runtime_static tvm_runtime_static)
target_link_libraries(dlr PUBLIC ${DLR_LINKER_LIBS})
if(DLR_STATIC_LIBSTDCPP)
message(STATUS "Using -static-libstdc++")
target_link_libraries(dlr PRIVATE -static-libstdc++)
endif()
if(NOT(ANDROID_BUILD OR AAR_BUILD))
target_link_libraries(dlr PUBLIC pthread)
endif()
add_library(dlr_static STATIC $<TARGET_OBJECTS:objdlr>)
set_output_directory(dlr_static ${CMAKE_BINARY_DIR}/lib)
# Demos
set(DEMO_EXECS "")
file(GLOB DEMO_SRCS demo/cpp/*.cc)
foreach(__srcpath ${DEMO_SRCS})
get_filename_component(__srcname ${__srcpath} NAME)
string(REPLACE ".cc" "" __execname ${__srcname})
list(APPEND DEMO_EXECS ${__execname})
add_executable(${__execname} ${__srcpath} $<TARGET_OBJECTS:objdlr>)
target_include_directories(${__execname} PUBLIC ${LIBNPY_SRC})
target_link_libraries(${__execname} PRIVATE treelite_runtime_static tvm_runtime_static ${DLR_LINKER_LIBS})
if(NOT(ANDROID_BUILD OR AAR_BUILD))
target_link_libraries(${__execname} PRIVATE pthread)
endif()
set_output_directory(${__execname} ${CMAKE_BINARY_DIR}/bin)
set_target_properties(${__execname} PROPERTIES EXCLUDE_FROM_ALL 1)
set_target_properties(${__execname} PROPERTIES EXCLUDE_FROM_DEFAULT_BUILD 1)
endforeach()
add_custom_target(demo DEPENDS ${DEMO_EXECS})
target_include_directories(dlr INTERFACE $<INSTALL_INTERFACE:include>)
install(TARGETS dlr
DESTINATION lib
EXPORT dlrTargets)
install(FILES include/dlr.h DESTINATION include)
install(EXPORT dlrTargets
FILE dlrTargets.cmake
DESTINATION lib/cmake/dlr
)
if(USE_MLAS)
install(TARGETS onnxruntime_mlas_static EXPORT dlrTargets)
endif()
include(CMakePackageConfigHelpers)
# generate the config file that is includes the exports
configure_package_config_file(${CMAKE_CURRENT_SOURCE_DIR}/Config.cmake.in
"${CMAKE_CURRENT_BINARY_DIR}/dlrConfig.cmake"
INSTALL_DESTINATION "lib/cmake/dlr"
NO_SET_AND_CHECK_MACRO
NO_CHECK_REQUIRED_COMPONENTS_MACRO
)
# generate the version file for the config file
write_basic_package_version_file(
"${CMAKE_CURRENT_BINARY_DIR}/dlrConfigVersion.cmake"
VERSION "${dlr_VERSION}"
COMPATIBILITY AnyNewerVersion
)
# install the configuration file
install(FILES
${CMAKE_CURRENT_BINARY_DIR}/dlrConfig.cmake
${CMAKE_CURRENT_BINARY_DIR}/dlrConfigVersion.cmake
DESTINATION lib/cmake/dlr
)
# Tests
if(DLR_BUILD_TESTS AND NOT(AAR_BUILD))
include(cmake/googletest.cmake)
if (WIN32)
include_directories(${DLFCN_WIN32}/src)
add_subdirectory(${DLFCN_WIN32})
endif()
fetch_googletest(
${PROJECT_SOURCE_DIR}/cmake
${PROJECT_BINARY_DIR}/googletest
)
enable_testing()
file(GLOB TEST_SRCS tests/cpp/*.cc)
if(NOT(ENABLE_DATATRANSFORM))
list(REMOVE_ITEM TEST_SRCS
${CMAKE_CURRENT_SOURCE_DIR}/tests/cpp/dlr_data_transform_test.cc
${CMAKE_CURRENT_SOURCE_DIR}/tests/cpp/dlr_pipeline_skl_xgb_test.cc)
endif()
if(WITH_TENSORFLOW2_LIB)
file(GLOB TENSORFLOW2_TEST_SRCS tests/cpp/dlr_tensorflow2/*.cc)
list(APPEND TEST_SRCS ${TENSORFLOW2_TEST_SRCS})
endif()
if(WITH_HEXAGON)
file(GLOB HEXAGON_TEST_SRCS tests/cpp/dlr_hexagon/*.cc)
list(APPEND TEST_SRCS ${HEXAGON_TEST_SRCS})
endif()
foreach(__srcpath ${TEST_SRCS})
get_filename_component(__srcname ${__srcpath} NAME)
string(REPLACE ".cc" "" __execname ${__srcname})
add_executable(${__execname} ${__srcpath})
target_compile_definitions(${__execname} PUBLIC DMLC_USE_LOGGING_LIBRARY=<tvm/runtime/logging.h>)
target_compile_definitions(${__execname} PRIVATE TVM_USE_LIBBACKTRACE=0)
target_link_libraries(${__execname} dlr gtest_main)
set_output_directory(${__execname} ${CMAKE_BINARY_DIR})
add_test(NAME ${__execname} COMMAND ${__execname})
message(STATUS "Added Test: " ${__execname})
endforeach()
file(GLOB TEST_DLSYM_SRCS tests/cpp/dlsym/*.cc)
foreach(__srcpath ${TEST_DLSYM_SRCS})
get_filename_component(__srcname ${__srcpath} NAME)
string(REPLACE ".cc" "" __execname ${__srcname})
add_executable(${__execname} ${__srcpath})
target_link_libraries(${__execname} gtest_main dl)
set_output_directory(${__execname} ${CMAKE_BINARY_DIR})
add_test(NAME ${__execname} COMMAND ${__execname})
message(STATUS "Added dlsym Test: " ${__execname})
endforeach()
set(CAT_IMAGE ${CMAKE_CURRENT_BINARY_DIR}/cat224-3.txt)
if(NOT EXISTS ${CAT_IMAGE})
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/tflite-models/cat224-3.txt
${CAT_IMAGE}
SHA1
e35e82f3371bed37caa7ecece417f50876414077
)
endif()
set(STREET_IMAGE ${CMAKE_CURRENT_BINARY_DIR}/street_small.npy)
if(NOT EXISTS ${STREET_IMAGE})
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/test-data/street_small.npy
${STREET_IMAGE}
SHA1
206d1a12646a5fe43d0877d38bd137c70a5adc3b
)
endif()
# Download compiled model for unit tests
set(RESNET_MODEL ${CMAKE_CURRENT_BINARY_DIR}/resnet_v1_5_50)
if(NOT IS_DIRECTORY ${RESNET_MODEL})
file(MAKE_DIRECTORY ${RESNET_MODEL})
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/compiled-models/resnet_v1.5_50-ml_c4.tar.gz
/tmp/resnet_v1.5_50-ml_c4.tar.gz
SHA1
447c22239e63882a2bc754db550131756373d4df
)
# this is OS-agnostic
execute_process(COMMAND ${CMAKE_COMMAND} -E tar -xf /tmp/resnet_v1.5_50-ml_c4.tar.gz
WORKING_DIRECTORY ${RESNET_MODEL})
file(REMOVE /tmp/resnet_v1.5_50-ml_c4.tar.gz)
endif()
set(XGBOOST_TEST_MODEL ${CMAKE_CURRENT_BINARY_DIR}/xgboost_test)
if(NOT IS_DIRECTORY ${XGBOOST_TEST_MODEL})
file(MAKE_DIRECTORY ${XGBOOST_TEST_MODEL})
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/compiled-models/release-1.10.0/xgboost-ml_m5.tar.gz
/tmp/xgboost-ml_m5.tar.gz
SHA1
1e45bb9d6108d70ac4ff37855cf13061d61ef742
)
# this is OS-agnostic
execute_process(COMMAND ${CMAKE_COMMAND} -E tar -xf /tmp/xgboost-ml_m5.tar.gz
WORKING_DIRECTORY ${XGBOOST_TEST_MODEL})
file(REMOVE /tmp/xgboost-ml_m5.tar.gz)
endif()
set(RELAYVM_MODEL ssd_mobilenet_v1_ppn_shared_box_predictor_300x300_coco14_sync_2018_07_03-LINUX_X86_64.tar.gz)
set(RELAYVM_MODEL_DIR ${CMAKE_CURRENT_BINARY_DIR}/ssd_mobilenet_v1)
if(NOT IS_DIRECTORY ${RELAYVM_MODEL_DIR})
file(MAKE_DIRECTORY ${RELAYVM_MODEL_DIR})
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/compiled-models/release-1.10.0/${RELAYVM_MODEL}
/tmp/${RELAYVM_MODEL}
SHA1
38111e6432d643122ebf6ed5493e415871dc3fa5
)
# this is OS-agnostic
execute_process(COMMAND ${CMAKE_COMMAND} -E tar -xf /tmp/${RELAYVM_MODEL}
WORKING_DIRECTORY ${RELAYVM_MODEL_DIR})
file(REMOVE /tmp/${RELAYVM_MODEL})
endif()
set(AUTOML_MODEL automl-ml_m4.tar.gz)
set(AUTOML_MODEL_DIR ${CMAKE_CURRENT_BINARY_DIR}/automl)
if(NOT IS_DIRECTORY ${AUTOML_MODEL_DIR})
file(MAKE_DIRECTORY ${AUTOML_MODEL_DIR})
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/compiled-models/release-1.5.0/${AUTOML_MODEL}
/tmp/${AUTOML_MODEL}
SHA1
a17df0b2d980051fb39a72dc61265b97ea0e4639
)
# this is OS-agnostic
execute_process(COMMAND ${CMAKE_COMMAND} -E tar -xf /tmp/${AUTOML_MODEL}
WORKING_DIRECTORY ${AUTOML_MODEL_DIR})
file(REMOVE /tmp/${AUTOML_MODEL})
endif()
set(AUTOML_STATIC_MODEL automl_static-ml_m4.tar.gz)
set(AUTOML_STATIC_MODEL_DIR ${CMAKE_CURRENT_BINARY_DIR}/automl_static)
if(NOT IS_DIRECTORY ${AUTOML_STATIC_MODEL_DIR})
file(MAKE_DIRECTORY ${AUTOML_STATIC_MODEL_DIR})
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/compiled-models/release-1.9.0/${AUTOML_STATIC_MODEL}
/tmp/${AUTOML_STATIC_MODEL}
SHA1
d776a30bcaeceff99844958fc88085972f5aec24
)
# this is OS-agnostic
execute_process(COMMAND ${CMAKE_COMMAND} -E tar -xf /tmp/${AUTOML_STATIC_MODEL}
WORKING_DIRECTORY ${AUTOML_STATIC_MODEL_DIR})
file(REMOVE /tmp/${AUTOML_STATIC_MODEL})
endif()
set(PIPELINE_MODEL1 ${CMAKE_CURRENT_BINARY_DIR}/pipeline_model1)
if(NOT IS_DIRECTORY ${PIPELINE_MODEL1})
file(MAKE_DIRECTORY ${PIPELINE_MODEL1})
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/compiled-models/pipeline_model1-LINUX_X86_64.tar.gz
/tmp/pipeline_model1-LINUX_X86_64.tar.gz
SHA1
b605cc76bb38b6462a1bd6881955cb5ae2de3218
)
# this is OS-agnostic
execute_process(COMMAND ${CMAKE_COMMAND} -E tar -xf /tmp/pipeline_model1-LINUX_X86_64.tar.gz
WORKING_DIRECTORY ${PIPELINE_MODEL1})
file(REMOVE /tmp/pipeline_model1-LINUX_X86_64.tar.gz)
endif()
set(PIPELINE_MODEL2 ${CMAKE_CURRENT_BINARY_DIR}/pipeline_model2)
if(NOT IS_DIRECTORY ${PIPELINE_MODEL2})
file(MAKE_DIRECTORY ${PIPELINE_MODEL2})
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/compiled-models/release-1.5.0/pipeline_model2-LINUX_X86_64.tar.gz
/tmp/pipeline_model2-LINUX_X86_64.tar.gz
SHA1
4c480e66f243db9b0fdb5528babb606091eabaad
)
# this is OS-agnostic
execute_process(COMMAND ${CMAKE_COMMAND} -E tar -xf /tmp/pipeline_model2-LINUX_X86_64.tar.gz
WORKING_DIRECTORY ${PIPELINE_MODEL2})
file(REMOVE /tmp/pipeline_model2-LINUX_X86_64.tar.gz)
endif()
set(INVERSELABEL_MODEL inverselabel-ml_m4.tar.gz)
set(INVERSELABEL_MODEL_DIR ${CMAKE_CURRENT_BINARY_DIR}/inverselabel)
if(NOT IS_DIRECTORY ${INVERSELABEL_MODEL_DIR})
file(MAKE_DIRECTORY ${INVERSELABEL_MODEL_DIR})
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/compiled-models/release-1.5.0/${INVERSELABEL_MODEL}
/tmp/${INVERSELABEL_MODEL}
SHA1
055f9606c97d781f0468ad839ff42b3d41474315
)
# this is OS-agnostic
execute_process(COMMAND ${CMAKE_COMMAND} -E tar -xf /tmp/${INVERSELABEL_MODEL}
WORKING_DIRECTORY ${INVERSELABEL_MODEL_DIR})
file(REMOVE /tmp/${INVERSELABEL_MODEL})
endif()
set(INPUTORDER_MODEL input_order-ml_m4.tar.gz)
set(INPUTORDER_MODEL_DIR ${CMAKE_CURRENT_BINARY_DIR}/input_order)
if(NOT IS_DIRECTORY ${INPUTORDER_MODEL_DIR})
file(MAKE_DIRECTORY ${INPUTORDER_MODEL_DIR})
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/compiled-models/release-1.9.0/${INPUTORDER_MODEL}
/tmp/${INPUTORDER_MODEL}
SHA1
e677130d4e47f0a5298f0280aa36a28ae9bb5ef1
)
# this is OS-agnostic
execute_process(COMMAND ${CMAKE_COMMAND} -E tar -xf /tmp/${INPUTORDER_MODEL}
WORKING_DIRECTORY ${INPUTORDER_MODEL_DIR})
file(REMOVE /tmp/${INPUTORDER_MODEL})
endif()
set(INVERSELABEL_STATIC_MODEL inverselabel_static-ml_m4.tar.gz)
set(INVERSELABEL_STATIC_MODEL_DIR ${CMAKE_CURRENT_BINARY_DIR}/inverselabel_static)
if(NOT IS_DIRECTORY ${INVERSELABEL_STATIC_MODEL_DIR})
file(MAKE_DIRECTORY ${INVERSELABEL_STATIC_MODEL_DIR})
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/compiled-models/release-1.9.0/${INVERSELABEL_STATIC_MODEL}
/tmp/${INVERSELABEL_STATIC_MODEL}
SHA1
bc4b0d958a18579362c4255741fdb4b86ab92aad
)
# this is OS-agnostic
execute_process(COMMAND ${CMAKE_COMMAND} -E tar -xf /tmp/${INVERSELABEL_STATIC_MODEL}
WORKING_DIRECTORY ${INVERSELABEL_STATIC_MODEL_DIR})
file(REMOVE /tmp/${INVERSELABEL_STATIC_MODEL})
endif()
if(WITH_TENSORFLOW2_LIB)
set(TF2_SAVED_MODEL imagenet_mobilenet_v2_100_224_classification.tar.gz)
set(TF2_SAVED_MODEL_DIR ${CMAKE_CURRENT_BINARY_DIR}/imagenet_mobilenet_v2)
if(NOT IS_DIRECTORY ${TF2_SAVED_MODEL_DIR})
file(MAKE_DIRECTORY ${TF2_SAVED_MODEL_DIR})
# Download Test Tensorflow model
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/tf2-models/${TF2_SAVED_MODEL}
/tmp/${TF2_SAVED_MODEL}
SHA1
2d183d967a671af1498261fdd050caa487d88e44
)
# this is OS-agnostic
execute_process(COMMAND ${CMAKE_COMMAND} -E tar -xf /tmp/${TF2_SAVED_MODEL}
WORKING_DIRECTORY ${TF2_SAVED_MODEL_DIR})
#file(REMOVE /tmp/${TF2_SAVED_MODEL})
endif()
endif() # WITH_TENSORFLOW2_LIB
if(WITH_HEXAGON)
# Download Test Hexagon model for Android 64 aarch64
file(MAKE_DIRECTORY dlr_hexagon_model)
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/hexagon-models/android_ReleaseG_aarch64/mobilenet_v1_0.75_224_quant_hexagon_model.so
./dlr_hexagon_model/mobilenet_v1_0.75_224_quant_hexagon_model.so
SHA1
989d6f1613e948e432a31d5b5741bff7f9a9bacb
)
# Download Hexagon NNLib for Hexagon V65
download_file(
https://neo-ai-dlr-test-artifacts.s3-us-west-2.amazonaws.com/hexagon-models/hexagon_ReleaseG_dynamic_toolv83_v65/libhexagon_nn_skel.so
./dlr_hexagon_model/libhexagon_nn_skel.so
SHA1
6746c34f54aad3df24d9fc5f632ebd9dfc64ed69
)
endif() # WITH_HEXAGON
endif()
# Group sources
#auto_source_group("${SOURCES}")