linux编译出错 - Githubissues

Tencent / TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

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1. 环境（environment）

Build OS and Version: Ubuntu
RunTime OS Version: Linux
RunTime DEVICE: ARM

2. Github版本
branch：
commit(optional):

3. 编译方式(compile method) CMake完整编译参数(full cmake arguments)

4. 编译日志(build log)
```
将日志粘贴在这里
long@long-Ubuntu:~/soft/TNN/examples/x86$ ./build_linux.sh 
Paste log here or pastebin
```
5. 详细描述bug 情况 (Describe the bug) /usr/bin/ld: warning: libinference_engine_transformations.so, needed by //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so, not found (try using -rpath or -rpath-link) CMakeFiles/demo_x86_imageclassify.dir/home/long/soft/TNN/examples/base/blazepose_landmark.cc.o：在函数‘tnn::BlazePoseLandmark::SmoothingLandmarks(std::vector<tnn::ObjectInfo, std::allocator >&)’中： blazepose_landmark.cc:(.text+0x82c)：对‘tnn::Now()’未定义的引用 blazepose_landmark.cc:(.text+0x858)：对‘tnn::VelocityFilter::Apply(std::vector<std::tuple<float, float, float>, std::allocator<std::tuple<float, float, float> > > const&, std::pair<int, int> const&, std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long, std::ratio<1l, 1000000000l> > > const&, std::vector<std::tuple<float, float, float>, std::allocator<std::tuple<float, float, float> > >)’未定义的引用 CMakeFiles/demo_x86_imageclassify.dir/home/long/soft/TNN/examples/base/skeleton_detector.cc.o：在函数‘tnn::SkeletonDetector::SmoothingLandmarks(tnn::SkeletonDetectorOutput)’中： skeleton_detector.cc:(.text+0x38a)：对‘tnn::Now()’未定义的引用 skeleton_detector.cc:(.text+0x3c9)：对‘tnn::VelocityFilter::Apply2D(std::vector<std::pair<float, float>, std::allocator<std::pair<float, float> > > const&, std::pair<int, int> const&, std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long, std::ratio<1l, 1000000000l> > > const&, std::vector<std::pair<float, float>, std::allocator<std::pair<float, float> > >*)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::pass::ConvertOneHotToOneHotIE::run_on_function(std::shared_ptr)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘typeinfo for ngraph::op::HardSigmoid_IE’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘typeinfo for ngraph::op::Eltwise’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::pass::CommonOptimizations::run_on_function(std::shared_ptr)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::pass::ConvertOneHotToOneHotIE::convert_one_hot()’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘vtable for ngraph::pass::ConvertOpSet2ToOpSet1’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::pass::ConvertOpSet3ToOpSet2::run_on_function(std::shared_ptr)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘vtable for ngraph::pass::ConvertOneHotToOneHotIE’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘typeinfo for ngraph::op::OneHotIE’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘vtable for ngraph::pass::ConvertOpSet1ToLegacy’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::getPrimitivesPriority[abi:cxx11](std::shared_ptr const&)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::pass::ConvertOpSet1ToLegacy::run_on_function(std::shared_ptr)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘vtable for ngraph::pass::CommonOptimizations’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::pass::ConvertOpSet2ToOpSet1::run_on_function(std::shared_ptr)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘typeinfo for ngraph::op::GatherIE’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘vtable for ngraph::pass::ConvertOpSet3ToOpSet2’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::getFusedNames[abi:cxx11](std::shared_ptr const&)’未定义的引用 collect2: error: ld returned 1 exit status CMakeFiles/demo_x86_imageclassify.dir/build.make:387: recipe for target 'demo_x86_imageclassify' failed make[2]: [demo_x86_imageclassify] Error 1 CMakeFiles/Makefile2:96: recipe for target 'CMakeFiles/demo_x86_imageclassify.dir/all' failed make[1]: [CMakeFiles/demo_x86_imageclassify.dir/all] Error 2 make[1]: 正在等待未完成的任务.... [100%] Linking CXX executable demo_x86_facedetector /usr/bin/ld: warning: libinference_engine_transformations.so, needed by //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so, not found (try using -rpath or -rpath-link) CMakeFiles/demo_x86_facedetector.dir/home/long/soft/TNN/examples/base/blazepose_landmark.cc.o：在函数‘tnn::BlazePoseLandmark::SmoothingLandmarks(std::vector<tnn::ObjectInfo, std::allocator >&)’中： blazepose_landmark.cc:(.text+0x82c)：对‘tnn::Now()’未定义的引用 blazepose_landmark.cc:(.text+0x858)：对‘tnn::VelocityFilter::Apply(std::vector<std::tuple<float, float, float>, std::allocator<std::tuple<float, float, float> > > const&, std::pair<int, int> const&, std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long, std::ratio<1l, 1000000000l> > > const&, std::vector<std::tuple<float, float, float>, std::allocator<std::tuple<float, float, float> > >)’未定义的引用 CMakeFiles/demo_x86_facedetector.dir/home/long/soft/TNN/examples/base/skeleton_detector.cc.o：在函数‘tnn::SkeletonDetector::SmoothingLandmarks(tnn::SkeletonDetectorOutput)’中： skeleton_detector.cc:(.text+0x38a)：对‘tnn::Now()’未定义的引用 skeleton_detector.cc:(.text+0x3c9)：对‘tnn::VelocityFilter::Apply2D(std::vector<std::pair<float, float>, std::allocator<std::pair<float, float> > > const&, std::pair<int, int> const&, std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long, std::ratio<1l, 1000000000l> > > const&, std::vector<std::pair<float, float>, std::allocator<std::pair<float, float> > >)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::pass::ConvertOneHotToOneHotIE::run_on_function(std::shared_ptr)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘typeinfo for ngraph::op::HardSigmoid_IE’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘typeinfo for ngraph::op::Eltwise’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::pass::CommonOptimizations::run_on_function(std::shared_ptr)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::pass::ConvertOneHotToOneHotIE::convert_one_hot()’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘vtable for ngraph::pass::ConvertOpSet2ToOpSet1’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::pass::ConvertOpSet3ToOpSet2::run_on_function(std::shared_ptr)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘vtable for ngraph::pass::ConvertOneHotToOneHotIE’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘typeinfo for ngraph::op::OneHotIE’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘vtable for ngraph::pass::ConvertOpSet1ToLegacy’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::getPrimitivesPriority[abi:cxx11](std::shared_ptr const&)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::pass::ConvertOpSet1ToLegacy::run_on_function(std::shared_ptr)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘vtable for ngraph::pass::CommonOptimizations’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::pass::ConvertOpSet2ToOpSet1::run_on_function(std::shared_ptr)’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘typeinfo for ngraph::op::GatherIE’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘vtable for ngraph::pass::ConvertOpSet3ToOpSet2’未定义的引用 //home/long/soft/TNN/scripts/../scripts/build_linux/openvinoInstallShared/deployment_tools/inference_engine/lib/intel64/libinference_engine_legacy.so：对‘ngraph::getFusedNames[abi:cxx11](std::shared_ptr const&)’未定义的引用 collect2: error: ld returned 1 exit status CMakeFiles/demo_x86_facedetector.dir/build.make:387: recipe for target 'demo_x86_facedetector' failed make[2]: ** [demo_x86_facedetector] Error 1 CMakeFiles/Makefile2:123: recipe for target 'CMakeFiles/demo_x86_facedetector.dir/all' failed make[1]: [CMakeFiles/demo_x86_facedetector.dir/all] Error 2 Makefile:102: recipe for target 'all' failed make: *** [all] Error 2

6. 运行日志（runtime log）
```
将日志粘贴在这里

Paste log here or pastebin
```
7. 截图（Screenshots）
```
将截图粘贴在这里
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```

64位就用build_aarch64_linux.sh，32位用build_armhf_linux.sh

long@long-Ubuntu:~/soft/TNN/examples/linux$ ./build_aarch64_linux.sh mkdir: 无法创建目录"build_aarch64_linux": 文件已存在 /home/long/soft/TNN /home/long/soft/TNN -- >>>>>>>>>>>>> -- TNN BUILD INFO: -- System: Linux -- Processor: aarch64 -- Cpu: OFF -- X86: OFF -- Arm: ON -- Arm82: OFF -- Metal: OFF -- OpenCL: OFF -- CUDA: OFF -- DSP: OFF -- Atlas: OFF -- TensorRT: OFF -- HuaweiNPU: OFF -- RKNPU: OFF -- OpenVINO: OFF -- OpenMP: ON -- TEST: ON -- --Unit Test: OFF -- Qantization: OFF -- ModelCheck: OFF -- DEBUG:
-- PROFILE: OFF -- BENCHMARK: OFF -- BENCHMARK Layer: OFF -- Model Converter: OFF -- TNN2MEM: OFF -- BENCHMARK Test Lib: OFF -- Configuring done -- Generating done -- Build files have been written to: /home/long/soft/TNN/scripts/build_aarch64_linux [ 2%] Built target gflags_nothreads_static [ 31%] Built target TNNArm [ 99%] Built target TNN [100%] Built target TNNTest /home/long/soft/TNN/examples/linux rm: 无法删除'build': 没有那个文件或目录 -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/aarch64-linux-gnu-gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/aarch64-linux-gnu-g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done /home/long/soft/TNN/examples/linux ../../scripts/build_aarch64_linux/ -- Configuring done -- Generating done -- Build files have been written to: /home/long/soft/TNN/examples/linux/build Scanning dependencies of target demo_arm_linux_imageclassify Scanning dependencies of target demo_arm_linux_facedetector [ 2%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/src/face_detector.cc.o [ 4%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/blazeface_detector.cc.o [ 7%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/blazepose_detector.cc.o [ 9%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/src/image_classify.cc.o [ 11%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/blazepose_landmark.cc.o [ 14%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/face_detect_aligner.cc.o [ 16%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/blazeface_detector.cc.o [ 19%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/face_detect_mesh.cc.o [ 21%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/blazepose_detector.cc.o [ 23%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/face_gray_transfer.cc.o [ 26%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/face_mesh.cc.o [ 28%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/blazepose_landmark.cc.o [ 30%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/face_detect_aligner.cc.o [ 33%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/face_detect_mesh.cc.o [ 35%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/hair_segmentation.cc.o [ 38%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/face_gray_transfer.cc.o [ 40%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/face_mesh.cc.o [ 42%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/image_classifier.cc.o [ 45%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/hair_segmentation.cc.o [ 47%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/image_classifier.cc.o [ 50%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/object_detector_ssd.cc.o [ 52%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/object_detector_ssd.cc.o [ 54%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/object_detector_yolo.cc.o [ 57%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/pose_detect_landmark.cc.o [ 59%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/sample_timer.cc.o [ 61%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/object_detector_yolo.cc.o [ 64%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/skeleton_detector.cc.o [ 66%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/tnn_fps_counter.cc.o [ 69%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/tnn_sdk_sample.cc.o [ 71%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/ultra_face_detector.cc.o [ 73%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/pose_detect_landmark.cc.o [ 76%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/utils/utils.cc.o [ 78%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/sample_timer.cc.o [ 80%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/skeleton_detector.cc.o [ 83%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/tnn_fps_counter.cc.o [ 85%] Building CXX object CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/youtu_face_align.cc.o [ 88%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/tnn_sdk_sample.cc.o [ 90%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/ultra_face_detector.cc.o [ 92%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/utils/utils.cc.o [ 95%] Building CXX object CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/youtu_face_align.cc.o [ 97%] Linking CXX executable demo_arm_linux_facedetector CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/blazepose_landmark.cc.o：在函数‘tnn::BlazePoseLandmark::SmoothingLandmarks(std::vector<tnn::ObjectInfo, std::allocator >&)’中： blazepose_landmark.cc:(.text+0x6ac)：对‘tnn::Now()’未定义的引用 blazepose_landmark.cc:(.text+0x6d8)：对‘tnn::VelocityFilter::Apply(std::vector<std::tuple<float, float, float>, std::allocator<std::tuple<float, float, float> > > const&, std::pair<int, int> const&, std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long, std::ratio<1l, 1000000000l> > > const&, std::vector<std::tuple<float, float, float>, std::allocator<std::tuple<float, float, float> > >)’未定义的引用 CMakeFiles/demo_arm_linux_facedetector.dir/home/long/soft/TNN/examples/base/skeleton_detector.cc.o：在函数‘tnn::SkeletonDetector::SmoothingLandmarks(tnn::SkeletonDetectorOutput)’中： skeleton_detector.cc:(.text+0x3b4)：对‘tnn::Now()’未定义的引用 skeleton_detector.cc:(.text+0x3dc)：对‘tnn::VelocityFilter::Apply2D(std::vector<std::pair<float, float>, std::allocator<std::pair<float, float> > > const&, std::pair<int, int> const&, std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long, std::ratio<1l, 1000000000l> > > const&, std::vector<std::pair<float, float>, std::allocator<std::pair<float, float> > >*)’未定义的引用 collect2: error: ld returned 1 exit status CMakeFiles/demo_arm_linux_facedetector.dir/build.make:387: recipe for target 'demo_arm_linux_facedetector' failed make[2]: [demo_arm_linux_facedetector] Error 1 CMakeFiles/Makefile2:123: recipe for target 'CMakeFiles/demo_arm_linux_facedetector.dir/all' failed make[1]: [CMakeFiles/demo_arm_linux_facedetector.dir/all] Error 2 make[1]: 正在等待未完成的任务.... [100%] Linking CXX executable demo_arm_linux_imageclassify CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/blazepose_landmark.cc.o：在函数‘tnn::BlazePoseLandmark::SmoothingLandmarks(std::vector<tnn::ObjectInfo, std::allocator >&)’中： blazepose_landmark.cc:(.text+0x6ac)：对‘tnn::Now()’未定义的引用 blazepose_landmark.cc:(.text+0x6d8)：对‘tnn::VelocityFilter::Apply(std::vector<std::tuple<float, float, float>, std::allocator<std::tuple<float, float, float> > > const&, std::pair<int, int> const&, std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long, std::ratio<1l, 1000000000l> > > const&, std::vector<std::tuple<float, float, float>, std::allocator<std::tuple<float, float, float> > >)’未定义的引用 CMakeFiles/demo_arm_linux_imageclassify.dir/home/long/soft/TNN/examples/base/skeleton_detector.cc.o：在函数‘tnn::SkeletonDetector::SmoothingLandmarks(tnn::SkeletonDetectorOutput)’中： skeleton_detector.cc:(.text+0x3b4)：对‘tnn::Now()’未定义的引用 skeleton_detector.cc:(.text+0x3dc)：对‘tnn::VelocityFilter::Apply2D(std::vector<std::pair<float, float>, std::allocator<std::pair<float, float> > > const&, std::pair<int, int> const&, std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long, std::ratio<1l, 1000000000l> > > const&, std::vector<std::pair<float, float>, std::allocator<std::pair<float, float> > >)’未定义的引用 collect2: error: ld returned 1 exit status CMakeFiles/demo_arm_linux_imageclassify.dir/build.make:387: recipe for target 'demo_arm_linux_imageclassify' failed make[2]: ** [demo_arm_linux_imageclassify] Error 1 CMakeFiles/Makefile2:96: recipe for target 'CMakeFiles/demo_arm_linux_imageclassify.dir/all' failed make[1]: [CMakeFiles/demo_arm_linux_imageclassify.dir/all] Error 2 Makefile:102: recipe for target 'all' failed make: *** [all] Error 2

Tencent / TNN

linux编译出错 #750

TNN_OPENVINO_LIB_PATH=../../source/tnn/network/openvino/thirdparty/openvino/lib