Install and Setup Prerequisites for NVIDIA Boards - MATLAB & Simulink (original) (raw)

Target Requirements

Hardware

MATLAB® Coder™ Support Package for NVIDIA® Jetson™ and NVIDIA DRIVE® Platforms supports the following development boards:

• NVIDIA DRIVE PX 2
• NVIDIA Clara AGX™
• NVIDIA Jetson AGX Xavier™
• NVIDIA Jetson AGX Orin™
• NVIDIA Jetson Orin Nano
• NVIDIA Jetson Orin NX (GPIO workflows are not supported)
• NVIDIA Jetson Nano™
• NVIDIA Jetson TX1
• NVIDIA Jetson TX2
• NVIDIA Jetson Xavier NX

The support package uses an SSH connection over TCP/IP to execute commands while building and running the generated code on the DRIVE or Jetson platforms. Connect the target platform to the same network as the host computer. Alternatively, use an Ethernet crossover cable to connect the board directly to the host computer.

Note

On the Windows® platform, open port 18735 in the Windows Firewall settings. This port is required to establish a connection to the MATLAB server running on the embedded platforms.

Software

• Use the NVIDIAJetPack (NVIDIA) or the DRIVE Platform (NVIDIA) software to install the OS image, developer tools, and the libraries required for developing applications on the Jetson or DRIVE platforms. You can use the Component Manager in the JetPack or theDrive Platform software to select the components to be installed on the target hardware. For installation instructions, refer to the NVIDIA board documentation. At a minimum, you must install:
  • CUDA® toolkit.
  • cuDNN library.
  • TensorRT library.
  • OpenCV library.
  • GStreamer library (v1.0 or higher) for deployment of thevideoReader function.
    The MATLAB Coder Support Package for NVIDIA Jetson and NVIDIA DRIVE Platforms has been tested with the following JetPack and DRIVE SDK versions:

    Hardware Platform	Software Version
    Jetson AGX Orin	JetPack 5.1.1.
    Jetson Orin Nano
    Jetson AGX Xavier
    Jetson Xavier NX
    Clara AGX	Holoscan SDKNoteTensorRT and GPIO workflows are not supported.
    Jetson Nano	JetPack 4.6.1.
    Jetson TX1
    Jetson TX2
    DRIVE	DRIVE SDK 5.0.10.3-12606092

• Install the Simple DirectMedia Layer (SDL v1.2) library, V4L2 library, and V4L2 utilities for running the webcam examples. You must also install the development packages for these libraries.
• For deploying the Audio File Read Simulink® block, install the Sound eXchange (SoX) utility and its development and format libraries.
  For example, on Ubuntu®, use the apt-get command to install these libraries.
  sudo apt-get install libsdl1.2-dev v4l-utils sox libsox-fmt-all libsox-dev
• For using Modbus® functions and blocks, install thelibmodbus libraries from https://github.com/stephane/libmodbus.
  For example, on Ubuntu, use the following commands to install these libraries.
  git clone https://github.com/stephane/libmodbus
  cd libmodbus
  ./autogen.sh
  ./configure && sudo make install

Environment Variable on the Target

The support package uses environment variables to locate the tools, compilers, and libraries required for code generation. Set the environment variables in the table.

The required environment variables must be accessible from non-interactive SSH logins. For example, you can use the export command at the beginning of the $HOME/.bashrc shell configuration file to add the environment variables.

Example .bashrc File

~/.bashrc: executed by bash(1) for non-login shells.

see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)

for examples

If not running interactively, don't do anything

case $- in i) ;; *) export PATH=$PATH:/usr/local/cuda/bin export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64 return;; esac

don't put duplicate lines or lines starting with space in the history.

See bash(1) for more options

HISTCONTROL=ignoreboth

append to the history file, don't overwrite it

shopt -s histappend

for setting history length see HISTSIZE and HISTFILESIZE in bash(1)

HISTSIZE=1000 HISTFILESIZE=2000 . . .

Alternatively, you can set system-wide environment variables in the/etc/environment file. You must havesudo privileges to edit this file.

Example /etc/environment File

PATH="/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin" LD_LIBRARY_PATH="/usr/local/cuda/lib64/"

Input Devices

• Camera connected to the USB or CSI port of the target hardware.
• USB audio device for recording and playback of audio signals.

Development Host Requirements

MathWorks Products

• MATLAB (required).
• MATLAB Coder (required).
• GPU Coder™ (required for GPU targeting).
• Parallel Computing Toolbox™ (required for GPU targeting).
• Simulink (required for generating code from Simulink models).
• Computer Vision Toolbox™ (recommended).
• Deep Learning Toolbox™ (required for deep learning).
• Embedded Coder® (recommended).
• Image Processing Toolbox™ (recommended).
• Simulink Coder (required for generating code from Simulink models).
• MATLAB Coder Interface for Deep Learning and GPU Coder Interface for Deep Learning support packages (required for deep learning).

Third-Party Products

• NVIDIA GPU enabled for CUDA.
• CUDA toolkit and driver.
• C/C++ Compiler.
• CUDA Deep Neural Network library (cuDNN).
• NVIDIA TensorRT – high performance deep learning inference optimizer and run-time library.

For information on the version numbers for the compiler tools and libraries, see Installing Prerequisite Products (GPU Coder). For information on setting up the environment variables on the host development computer, see Setting Up the Prerequisite Products (GPU Coder).

Related Topics

• Install Support Package for NVIDIA Hardware
• Getting Started with the MATLAB Coder Support Package for NVIDIA Jetson and NVIDIA DRIVE Platforms