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在 CMakeList 中包含 tensorflow lite 库.txt C++项目给出错误"undefined reference to `ruy::ScopedSuppressDenormals



我正试图在C++项目的CMakeLists.txt中包含TensorFlow lite库。我按照说明书https://www.tensorflow.org/lite/guide/build_cmake

  1. git克隆https://github.com/tensorflow/tensorflow.gittensorflow_src
  2. mkdir tflite_build&amp；cd tflite_build
  3. cmake/tensorflow_src/tensorflow/lite-DTFLITE_ENABLE_XNNPACK=关闭-DTFLITE_ENABLE_EXTERNAL_DELEGATE=关闭TFLITE_ENABLE_RUY=打开/关闭(同时尝试两个选项(
  4. cmake——构建--配置版本-j24

并将所有库添加到CmakeLists.txt文件中，如下所示

cmake_minimum_required(VERSION 3.0.0)
project(main)
set(TENSORFLOW_SRC_DIR "test_cpp/tensorflow_src")
set(TFLITE_DIR "test_cpp/tflite_build")
find_package(OpenCV 4 REQUIRED)
file(GLOB SOURCE_FILES src/*.cpp  src/*.h )
message(${SOURCE_FILES})
add_executable(${CMAKE_PROJECT_NAME} ${SOURCE_FILES})
include_directories(
${TENSORFLOW_SRC_DIR}
${TFLITE_DIR}/eigen
${TFLITE_DIR}/neon2sse
${TFLITE_DIR}/abseil-cpp
${TFLITE_DIR}/farmhash/src
${TFLITE_DIR}/flatbuffers/include
${TFLITE_DIR}/gemmlowp/public
${TFLITE_DIR}/gemmlowp
${TFLITE_DIR}/ruy
${TFLITE_DIR}/cpuinfo/include
)
target_link_libraries(
${CMAKE_PROJECT_NAME} PUBLIC
${OpenCV_LIBS}
${TFLITE_DIR}/_deps/farmhash-build/libfarmhash.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/flags/libabsl_flags_marshalling.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/flags/libabsl_flags_program_name.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/flags/libabsl_flags_reflection.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/flags/libabsl_flags_private_handle_accessor.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/flags/libabsl_flags_config.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/flags/libabsl_flags_internal.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/flags/libabsl_flags_commandlineflag_internal.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/flags/libabsl_flags_commandlineflag.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/flags/libabsl_flags.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/strings/libabsl_cordz_functions.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/strings/libabsl_strings_internal.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/strings/libabsl_cordz_handle.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/strings/libabsl_str_format_internal.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/strings/libabsl_cordz_info.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/strings/libabsl_cord.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/strings/libabsl_cord_internal.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/strings/libabsl_strings.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/container/libabsl_raw_hash_set.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/container/libabsl_hashtablez_sampler.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/synchronization/libabsl_synchronization.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/synchronization/libabsl_graphcycles_internal.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/hash/libabsl_city.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/hash/libabsl_hash.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/hash/libabsl_low_level_hash.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/time/libabsl_civil_time.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/time/libabsl_time_zone.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/time/libabsl_time.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/profiling/libabsl_exponential_biased.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/types/libabsl_bad_optional_access.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/types/libabsl_bad_variant_access.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/numeric/libabsl_int128.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/base/libabsl_raw_logging_internal.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/base/libabsl_throw_delegate.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/base/libabsl_base.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/base/libabsl_log_severity.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/base/libabsl_spinlock_wait.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/base/libabsl_malloc_internal.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/status/libabsl_status.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/debugging/libabsl_stacktrace.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/debugging/libabsl_demangle_internal.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/debugging/libabsl_symbolize.a
${TFLITE_DIR}/_deps/abseil-cpp-build/absl/debugging/libabsl_debugging_internal.a
${TFLITE_DIR}/_deps/flatbuffers-build/libflatbuffers.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_ctx.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_kernel_avx.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_have_built_path_for_avx512.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_cpuinfo.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_frontend.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_blocking_counter.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_kernel_avx512.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_apply_multiplier.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_block_map.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_trmul.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_kernel_avx2_fma.a
${TFLITE_DIR}/_deps/ruy-build/ruy/profiler/libruy_profiler_instrumentation.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_denormal.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_prepacked_cache.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_system_aligned_alloc.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_context_get_ctx.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_allocator.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_have_built_path_for_avx2_fma.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_pack_avx.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_wait.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_context.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_pack_avx2_fma.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_thread_pool.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_pack_arm.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_tune.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_kernel_arm.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_have_built_path_for_avx.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_prepare_packed_matrices.a
${TFLITE_DIR}/_deps/ruy-build/ruy/libruy_pack_avx512.a
${TFLITE_DIR}/_deps/fft2d-build/libfft2d_fftsg.a
${TFLITE_DIR}/_deps/fft2d-build/libfft2d_fftsg2d.a
${TFLITE_DIR}/_deps/clog-build/libclog.a
${TFLITE_DIR}/_deps/cpuinfo-build/libcpuinfo.a
${TFLITE_DIR}/libtensorflow-lite.a
dl
)

它在windows机器上工作，但在Linux上我收到了关于的错误

未定义对`ruy:：ScopedSuppressDenormals:：ScopedUnppressDenrmals(('的引用

[ 33%] Building CXX object CMakeFiles/main.dir/src/main.cpp.o
[ 66%] Building CXX object CMakeFiles/main.dir/src/ssd_mobilenet_tflite.cpp.o
[100%] Linking CXX executable main
/usr/bin/ld: ../tflite_build/libtensorflow-lite.a(interpreter.cc.o): in function `tflite::Interpreter::Invoke()':
interpreter.cc:(.text+0x3ff): undefined reference to `ruy::ScopedSuppressDenormals::ScopedSuppressDenormals()'
/usr/bin/ld: interpreter.cc:(.text+0x523): undefined reference to `ruy::ScopedSuppressDenormals::~ScopedSuppressDenormals()'
/usr/bin/ld: ../tflite_build/libtensorflow-lite.a(interpreter.cc.o): in function `tflite::Interpreter::Invoke() [clone .cold]':
interpreter.cc:(.text.unlikely+0x5c): undefined reference to `ruy::ScopedSuppressDenormals::~ScopedSuppressDenormals()'
/usr/bin/ld: CMakeFiles/main.dir/src/ssd_mobilenet_tflite.cpp.o: in function `SSD_MOBILENET::loadModel(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)':
ssd_mobilenet_tflite.cpp:(.text+0x2b2): undefined reference to `tflite::ops::builtin::BuiltinOpResolver::BuiltinOpResolver()'
collect2: error: ld returned 1 exit status
make[2]: *** [CMakeFiles/main.dir/build.make:231: main] Error 1
make[1]: *** [CMakeFiles/Makefile2:76: CMakeFiles/main.dir/all] Error 2
make: *** [Makefile:84: all] Error 2

我不想把libs添加为"；add_subdirectory"因为每次我创建一个新项目时，它都会编译

那么，我如何解决对`ruy:：ScopedSuppressDenormals:：ScopedUnppressDenormals(('的未定义引用

更新：

如果我将CMakeLists.txt更改为：

cmake_minimum_required(VERSION 3.0.0)
project(main)
set(TENSORFLOW_SRC_DIR "test_cpp/tensorflow_src")
set(TFLITE_DIR "test_cpp/tflite_build")
find_package(OpenCV 4 REQUIRED)
find_package(TFLITE)
file(GLOB SOURCE_FILES src/*.cpp  src/*.h )
message(${SOURCE_FILES})
add_executable(${CMAKE_PROJECT_NAME} ${SOURCE_FILES})
include_directories(
${TENSORFLOW_SRC_DIR}
)
target_link_libraries(
${CMAKE_PROJECT_NAME} PUBLIC
${OpenCV_LIBS}
${TFLITE_LIBS}
)

我接受这个错误

from test_cpp/src/main.cpp:1:
test_cpp/tensorflow_src/tensorflow/lite/interpreter_builder.h:26:10: fatal error: flatbuffers/flatbuffers.h: No such file or directory
26 | #include "flatbuffers/flatbuffers.h"  // from @flatbuffers
|          ^~~~~~~~~~~~~~~~~~~~~~~~~~~
compilation terminated.
make[2]: *** [CMakeFiles/main.dir/build.make:63: CMakeFiles/main.dir/src/main.cpp.o] Error 1
make[1]: *** [CMakeFiles/Makefile2:76: CMakeFiles/main.dir/all] Error 2
make: *** [Makefile:84: all] Error 2

还有另一个技巧可以帮助您入门。只需将其添加到您的CMake文件：

include(FetchContent)
FetchContent_Declare(
tensorflow
GIT_REPOSITORY https://github.com/tensorflow/tensorflow.git
GIT_PROGRESS TRUE
GIT_SHALLOW TRUE
GIT_TAG v2.10.0
SOURCE_SUBDIR tensorflow/lite
)
FetchContent_MakeAvailable(tensorflow)

并链接到库：

target_link_libraries(${PROJECT_NAME} PRIVATE
tensorflow-lite
)

这是自动下载所有依赖项，应该会让您做好准备。

我发现这个repo包含项目所需的所有库https://github.com/muhammedakyuzlu/tflite-cpp-package

我认为问题在于库的排序。尝试在设置中将libtensorflow-lite.a置于ruy-*.a之前。

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