HackMD
rebuild jetson kernel in tx1
https://blog.kevmo314.com/compiling-custom-kernel-modules-on-the-jetson-nano.html
- The image file may be corrupted
- The server hosting the image is unavailable
- The image path is incorrect
- The image format is not supported
Build Kernel
Follow these instructions to build and install the kernel image and device tree.
- Download and install the Toolchain
NVIDIA recommends using the Linaro 7.3.1 2018.05 toolchain for L4T 32.3 (Toolchain)
Download the pre-built toolchain binaries from: http://releases.linaro.org/components/toolchain/binaries/7.3-2018.05/aarch64-linux-gnu/gcc-linaro-7.3.1-2018.05-x86_64_aarch64-linux-gnu.tar.xz
wget http://releases.linaro.org/components/toolchain/binaries/7.3-2018.05/aarch64-linux-gnu/gcc-linaro-7.3.1-2018.05-x86_64_aarch64-linux-gnu.tar.xz
Execute the following commands to extract the toolchain:
mkdir $HOME/l4t-gcc
cd $HOME/l4t-gcc
tar xf gcc-linaro-7.3.1-2018.05-x86_64_aarch64-linux-gnu.tar.xz
- Download the kernel sources
You can download the kernel source files and then manually extract them. it is recommended to instead sync with git.
In a browser, navigate to: https://developer.nvidia.com/embedded/downloads. Locate and download the L4T Sources for your release. (L4T Sources 32.3.1 2019/12/17) or run the command below:
wget https://developer.download.nvidia.com/embedded/L4T/r32-3-1_Release_v1.0/Sources/T210/public_sources.tbz2
Execute the following commands to extract the kernel:
tar -xvf public_sources.tbz2
cd Linux_for_Tegra/source/public
JETSON_NANO_KERNEL_SOURCE=$(pwd)
tar -xf kernel_src.tbz2
- Compile kernel and dtb
Follow the steps:
cd $JETSON_NANO_KERNEL_SOURCE
TOOLCHAIN_PREFIX=$HOME/l4t-gcc/gcc-linaro-7.3.1-2018.05-x86_64_aarch64-linux-gnu/bin/aarch64-linux-gnu-
TEGRA_KERNEL_OUT=$JETSON_NANO_KERNEL_SOURCE/build
KERNEL_MODULES_OUT=$JETSON_NANO_KERNEL_SOURCE/modules
make -C kernel/kernel-4.9/ ARCH=arm64 O=$TEGRA_KERNEL_OUT LOCALVERSION=-tegra CROSS_COMPILE=${TOOLCHAIN_PREFIX} tegra_defconfig
make -C kernel/kernel-4.9/ ARCH=arm64 O=$TEGRA_KERNEL_OUT LOCALVERSION=-tegra CROSS_COMPILE=${TOOLCHAIN_PREFIX} -j8 --output-sync=target zImage
make -C kernel/kernel-4.9/ ARCH=arm64 O=$TEGRA_KERNEL_OUT LOCALVERSION=-tegra CROSS_COMPILE=${TOOLCHAIN_PREFIX} -j8 --output-sync=target modules
make -C kernel/kernel-4.9/ ARCH=arm64 O=$TEGRA_KERNEL_OUT LOCALVERSION=-tegra CROSS_COMPILE=${TOOLCHAIN_PREFIX} -j8 --output-sync=target dtbs
make -C kernel/kernel-4.9/ ARCH=arm64 O=$TEGRA_KERNEL_OUT LOCALVERSION=-tegra INSTALL_MOD_PATH=$KERNEL_MODULES_OUT modules_install
如果第一次編譯的時候，我們必須要用官方的 toolchain
換過核心後，假設要重編 可以直接指向
which aarch64-linux-gnu-gcc
TOOLCHAIN_PREFIX = 剛剛的路徑
按下 make menuconfig 會有問題
會說要找 ncurses 的 lib
所以要安裝
在 終端機介面 鍵入
#sudo apt-get install libncurses5-dev
最後文章沒提到的如何換kernel
只要 切去 編譯完成的目錄
kernel/kernel.4.9
根據不同的板子和位元
以這塊板子就是arm64
kernel/kernel.4.9/arm64/boot/Image
cp kernel/kernel.4.9/arm64/boot/Image /boot/Image
非常要注意的是必須要到BUILD 後的目錄 ，主要讓MODULE 放到/lib/moduble by 編譯1個禮拜的 kernel 踩坑
$ sudo make modules_install
$ sudo cp arch/arm/boot/dts/*.dtb /boot/
重開即可更換核心，這次重編主要要讓板子支援bpf
sudo apt-get install bcc
sudo apt-get install bpfcc-tools
