Nvidia Jetson Tx2 Kernel

Building after the manual patch.

Nvidia jetson tx2 kernel. Compiling jetson nano source code l4t 32 1. Follow these instructions to build and install the kernel image and device tree. In this article we cover building the kernel and modules for the nvidia jetson tx2 running l4t 28 2. Nvidia recommends using the linaro 7 3 1 2018 05 toolchain for l4t 32 3.

This file is included by the platform configuration file p2771 0000 devkit conf for jetson tx2 or p2771 3489 ucm1 conf for jetson tx2i. Build the nvidia jetson tx2 kernel on the device itself good5dog5 buildjetsontx2kernel. These scripts are for building the kernel for the 64 bit l4t 32 3 1 ubuntu 18 04 based operating system on the nvidia jetson tx2. Download and install the toolchain.

Before changing any of the configuration parameters let s verify that things compile without tweaking the preemption model. To prepare the l4t kernel headers on a jetson system on a jetson system you can use the files in this directory to build out of tree modules without further action. See the linux for tegra r27 1 web page where you can get the required gcc 4 8 5 tool chain for 64 bit bsp. These procedures describe how to prepare a set of kernel headers or a kernel source tree to allow building an out of tree kernel module.

These scripts will download the kernel source to the jetson tx2 and then compile the kernel and selected modules. Since the file is in the t18x subdirectory of sources but not in the kernel i am wondering if something has configured a feature using this which my kernel build is not referencing my kernel build works yours doesn t so either config or sources differ. With the advent of the new jetson tx2 running l4t 27 1 with the 4 14 kernel nvidia recommends using a host pc when building a system from source. This article is for intermediate users.

The kernel sources and build objects consume 3gb. You should be familiar with the purpose of the kernel. Cd kernel kernel 4 4 make xconfig. Now let s pick up where the jetson hacks scripts have left off.

We also build the ch341 module which is a usb to serial converter. Useful for deploying computer vision and deep learning jetson tx2 runs linux and provides greater than 1tflops of fp16 compute performance in less than 7 5 watts of power.