Setting Up Cross-Platform Support

Use the following procedure to set up the cross-compilation environment for Multimedia API on the host system.

1. Install the CUDA cross-platform toolkit on the host system with the following commands:

    $ sudo dpkg --add-architecture arm64
    $ sudo apt-get update
    $ sudo dpkg -i cuda-repo-<distro>_<version>_amd64.deb
    $ sudo apt-get update
    $ sudo apt-get install cuda-cross-aarch64
   

   Note

   Only cuda-8.x supports cross-platform development for aarch64 (arm64).

2. Download the <L4T sample="" root="" filesystem>=""> from the following website:

    https://developer.nvidia.com/embedded/downloads
   

3. Decompress the package and export rootfs path with the following command:

    $ export TARGET_ROOTFS=<PATH_OF_TEGRA_DRIVER_PACKAGE>/Linux_for_Tegra/rootfs
   

   Note

   The sample 11_camera_object_identification and backend do not support cross-compilation in this release.

4. Export the path of cross-compiler tool chain with the following command:

    $ export PATH=$PATH:<CROSS_COMPILER_PATH>/bin
   

5. Create symbolic links with the following commands:

    $ export TEGRA_ARMABI=aarch64-linux-gnu
    $ cd ${TARGET_ROOTFS}/usr/lib/
    $ sudo ln -sf ${TEGRA_ARMABI}/crt1.o crt1.o
    $ sudo ln -sf ${TEGRA_ARMABI}/crti.o crti.o
    $ sudo ln -sf ${TEGRA_ARMABI}/crtn.o crtn.o
    $ cd ${TEGRA_ARMABI}
    $ sudo ln -sf libv4l2.so.0 libv4l2.so
    $ sudo ln -sf tegra-egl/libEGL.so.1 libEGL.so
    $ sudo ln -sf tegra-egl/libGLESv2.so.2 libGLESv2.so
    $ sudo ln -sf tegra/libcuda.so.1.1 libcuda.so.1
    $ sudo ln -sf ../../../lib/aarch64-linux-gnu/libdl.so.2 libdl.so
   

6. Enter the sample directories and run make to cross-compile.