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PROCESSOR-SDK-AM62A: Having trouble compiling TIDL tools on x86 Ubuntu 18.04 Machine

Narayan Desai
Prodigy 70 points
Part Number: PROCESSOR-SDK-AM62A

Hello,

I am having some difficulty with the compilation step in the TIDL documentation.  I am running Ubuntu 18.04 with Python 3.6 as the default installation, and I am following the procedures exactly as written.  I have attempted this both with and without docker, and I am still getting an error that falsely says /bin/sh is empty when trying to build.  I really need to get this resolved so that I can compile custom pose estimation models for the AM62A that aren't available in the model zoo. The only model in the model selection tool is "ONR-KD-7060-human-pose-yolox-s-640x640" which is far too resource intensive for my application.  Here is the build output:

cmake ../examples && make -j && cd ..

-- Detected processor: x86_64
-- TARGET_DEVICE setting to: am62a
-- TARGET_CPU not specicfied using x86
-- CMAKE_BUILD_TYPE = Release PROJECT_NAME = edgeai_tidl_examples
-- setting TENSORFLOW_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/tflite_2.8_x86_u18/
-- setting DLR_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/dlr_1.10.0_x86_u18/
-- setting OPENCV_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/opencv_4.2.0_x86_u18/
-- Compiling for x86 with am62a config
-- CMAKE_BUILD_TYPE = Release PROJECT_NAME = edgeai_tidl_examples
-- setting TENSORFLOW_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/tflite_2.8_x86_u18/
-- setting DLR_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/dlr_1.10.0_x86_u18/
-- setting OPENCV_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/opencv_4.2.0_x86_u18/
-- Compiling for x86 with am62a config
-- CMAKE_BUILD_TYPE = Release PROJECT_NAME = edgeai_tidl_examples
-- setting TENSORFLOW_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/tflite_2.8_x86_u18/
-- setting DLR_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/dlr_1.10.0_x86_u18/
-- setting OPENCV_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/opencv_4.2.0_x86_u18/
-- Compiling for x86 with am62a config
-- CMAKE_BUILD_TYPE = Release PROJECT_NAME = tfl_main
-- setting TENSORFLOW_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/tflite_2.8_x86_u18/
-- setting DLR_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/dlr_1.10.0_x86_u18/
-- setting OPENCV_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/opencv_4.2.0_x86_u18/
-- Compiling for x86 with am62a config
-- CMAKE_BUILD_TYPE = Release PROJECT_NAME = tfl_priority_scheduling
-- setting TENSORFLOW_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/tflite_2.8_x86_u18/
-- setting DLR_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/dlr_1.10.0_x86_u18/
-- setting OPENCV_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/opencv_4.2.0_x86_u18/
-- Compiling for x86 with am62a config
-- CMAKE_BUILD_TYPE = Release PROJECT_NAME = ort_priority_scheduling
-- setting TENSORFLOW_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/tflite_2.8_x86_u18/
-- setting DLR_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/dlr_1.10.0_x86_u18/
-- setting OPENCV_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/opencv_4.2.0_x86_u18/
-- Compiling for x86 with am62a config
-- CMAKE_BUILD_TYPE = Release PROJECT_NAME = edgeai_tidl_examples
-- setting TENSORFLOW_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/tflite_2.8_x86_u18/
-- setting DLR_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/dlr_1.10.0_x86_u18/
-- setting OPENCV_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/opencv_4.2.0_x86_u18/
-- Compiling for x86 with am62a config
-- CMAKE_BUILD_TYPE = Release PROJECT_NAME = tidlrt_clasification
-- setting TENSORFLOW_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/tflite_2.8_x86_u18/
-- setting DLR_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/dlr_1.10.0_x86_u18/
-- setting OPENCV_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/opencv_4.2.0_x86_u18/
-- Compiling for x86 with am62a config
-- CMAKE_BUILD_TYPE = Release PROJECT_NAME = dlr_main
-- setting TENSORFLOW_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/tflite_2.8_x86_u18/
-- setting DLR_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/dlr_1.10.0_x86_u18/
-- setting OPENCV_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/opencv_4.2.0_x86_u18/
-- Compiling for x86 with am62a config
-- CMAKE_BUILD_TYPE = Release PROJECT_NAME = ort_main
-- setting TENSORFLOW_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/tflite_2.8_x86_u18/
-- setting DLR_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/dlr_1.10.0_x86_u18/
-- setting OPENCV_INSTALL_DIR path:/home/narayan/edgeai-tidl-tools/tidl_tools/osrt_deps/opencv_4.2.0_x86_u18/
-- Compiling for x86 with am62a config
-- Configuring done
-- Generating done
-- Build files have been written to: /home/narayan/edgeai-tidl-tools/build
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[ 11%] Building CXX object osrt_cpp/advanced_examples/utils/CMakeFiles/utils_adv.dir/src/arg_parsing.cpp.o
[ 37%] Building CXX object osrt_cpp/utils/CMakeFiles/utils.dir/src/pbPlots.cpp.o
g++: error: /bin/sh:: No such file or directory
[ 14%] Building CXX object osrt_cpp/advanced_examples/utils/CMakeFiles/utils_adv.dir/src/print_utils.cpp.o
[ 22%] Building CXX object osrt_cpp/utils/CMakeFiles/utils.dir/src/edgeai_classnames.cpp.o
[ 25%] Building CXX object osrt_cpp/utils/CMakeFiles/utils.dir/src/ti_logger.cpp.o
[ 33%] Building CXX object osrt_cpp/utils/CMakeFiles/utils.dir/src/supportLib.cpp.o
g++: error: /bin/sh:: No such file or directory
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  • 0
    TI__Genius 15006 points

    Hi Narayan,

    Several questions to see if we can fix this failing build. However, you should be able to compile without doing this full setup, provided the edgeai-tidl-tools/tidl_tools directory looks like the following:

    where the .so files are compiled for x86_64. These should be downloaded during the first portion of setup.

    1.  /bin/sh is present, correct?

    2. What is the latest commit tag on the repository? It should be for the 8.6.0.3 release, but I want to be certain.

    3. Is it the same error on docker container and on your ubuntu installation?

    4. Can you run the 'make' command with VERBOSE=1? I want to be sure that the compiler commands look correct. You can also do a dry-run with -n

    However, unless you're looking to use C++ examples, you should be able to proceed with model compilation without doing the full compilation. We generally use python scripts for compilation. Please see the files under edgeai-tidl-tools/examples/osrt_python for samples. The following doc describes the process: https://github.com/TexasInstruments/edgeai-tidl-tools/blob/master/docs/custom_model_evaluation.md#new-model-evaluation

    To verify this is possible without compiling everything, you can run one of the python3 scripts within a subdirectory of osrt_pythonwith the -z tag to compile several models from the model-zoo. e.g.

     python3 osrt_python/ort/onnrt_ep.py -z

    Best,
    Reese

  • 0 in reply to Reese Grimsley
    Prodigy 70 points

    Hi Reese,

    Thanks for the reply.  I will try out the scripts in osrt_python as soon as I can.

    Regarding the build, yes, the error was the same in docker as well as in the ubuntu installation.   I actually figured out the problem, though.  It was related to the CMakeLists.txt file in ~edgeai-tidl-tools/examples.  Essentially, running the exec_program command resulted in a false output stating that /bin/sh was empty and that pkg-config couldn't be found.  Since exec_program is quite old, I figured I'd comment it out and invoke execute_process instead as per the lines below:

    #exec_program(pkg-config ARGS --cflags glib-2.0 OUTPUT_VARIABLE GLIB_FLAGS)
    execute_process(COMMAND pkg-config --cflags glib-2.0 OUTPUT_VARIABLE GLIB_FLAGS)
    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${GLIB_FLAGS}")

    When I did this, the build succeeded.  Y'all may want to add that to the documentation if possible as a potential fix for build failures.  

    Best,

    Narayan

  • 0 in reply to Narayan Desai
    TI__Guru 69602 points
    Narayan Desai said:
    When I did this, the build succeeded.  Y'all may want to add that to the documentation if possible as a potential fix for build failures. 

    Thanks for closing the loop. We'll discuss internally on how/what improvements can be made in our SDK offering.

    Regards, Andreas