NVIDIA Jetson Xavier - JetPack 5.0.2 Software Components

NVIDIA®Jetson Xavier™
Introduction
SoM Overview Carrier Boards NVIDIA Xavier Developer Kit Connect Tech Rogue Connect Tech Mimic Software Support NVIDIA JetPack
JetPack 5.X
Getting Started Installing JetPack Flashing the board with GUI installer JetPack Components Compiling Source Code Flashing the Board from Cmdline Performance Tuning Evaluating Performance Set Values Manually Tuning Power Maximizing Performance
Development in the Board
Getting into the Board Using Serial Console Using SSH Using Ubuntu Login Installing Packages
Video Capture and Display
Description Supported Cameras Imx219 Driver Software Support Using GStreamer Using Libargus
Processors
HD Audio and Video Subystem Video Encoder Video Decoder JPEG Encoder and Decoder Video Image Compositor Audio Processing Engine Deep Learning Accelerator Volta GPU Description Using CUDA Using OpenGL
Interfaces
I2C SD/eMMC Controller USB Controller
GStreamer Pipelines
Capture and Display H264 H265 VP9 MPEG4 Simultaneous Streams Compositor
Deep Learning
TensorRT Using TensorRT integrated with Tensorflow Parsing a Tensorflow model for TensorRT Parsing Caffe model for TensorRT Building TensorRT API examples Deep Learning Accelerator Software Support Deep Learning Tutorials Jetson Inference Jetson Reinforcement
RidgeRun Products
GstPTZR GstCUDA GstColorTransfer GstWebRTC GstRtspSink GstInterpipe GstInference GStreamer Daemon GstShark
Reference Documentation
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This section provides an overview of some of the main software components provided in Jetpack 5.0.2 for Xavier.

Jetpack Components

Table 1 provides the versions of the key packages included in JetPack 5.1.3, Jetpack 5.0.2, and the version previously available in Jetpack 4.6.1:

Table 1: Version of Jetpack components

Package	Jetpack 5.1.3 Version	Jetpack 5.0.2 Version	Jetpack 4.6.1 Version
Linux for Tegra	35.5.0	35.1	32.7.1
CUDA	11.4.19	11.4.14	10.2
cuDNN	8.6.0	8.4.1	8.2.1
TensorRT	8.5.2	8.4.1	8.2.1
OpenCV	4.5.4	4.5.4	4.1.1
Vision Programming Interface (VPI)	2.4	2.1	1.2

Linux for Tegra

Linux for Tegra (L4T) is the component that provides the OS components (kernel, file system, drivers, firmware) and the bootloader. Jetpack 5.1.3 comes with L4T version 35.5.0, featuring:

• Linux Kernel version 5.10: the previous Jetpack version (4.6) came with Linux Kernel version 4.9.
• Ubuntu 20.04-based root file system: the previous Jetpack version (4.6) came with Ubuntu 18.04-based root file system.
• UEFI-based bootloader: CBoot was used prior to L4T 34.1.
• Support for NVSCI: Provides utilities for streaming data packets between different applications and for inter-process communication (IPC).
• Toolchain: aarch64 gcc-9.3-glibc-2.31 for 64-bit Kernel and user space.
• Jetson Power GUI: a new tool for monitoring the power and thermal status of the Jetson platform.

Multimedia API

Included as part of L4T, the Multimedia API allows developers to develop camera-based multimedia applications. It has two main components:

• V4L2 Sensor driver API: the V4L2 API that enables the capture devices, codecs, and scaling functionality.
• Libargus: the proprietary NVIDIA library that allows using the Jetson Image Signal Processor (ISP).

JetPack 5.0.2 Multimedia API features new NVUtils Multimedia buffer management and buffer transformation API. Previous nvbuf_utils is deprecated in this release.

CUDA

Jetpack 5.0.2 includes CUDA 11.4.14 support. CUDA is a parallel computing API for NVIDIA GPUs. NVIDIA's CUDA Toolkit provides the development environment for creating GPU-accelerated applications in C/C++. Starting with CUDA 11, the various components in the toolkit are versioned independently. Table 2 provides the CUDA 11.4.14 components version information:

Table 2: CUDA 11.4 components version

Component Name	Version Information	Supported Architectures
CUDA Runtime (cudart)	11.4.148	x86_64, POWER, Arm64
cuobjdump	11.4.120	x86_64, POWER, Arm64
CUPTI	11.4.120	x86_64, POWER, Arm64
CUDA cuxxfilt (demangler)	11.4.120	x86_64, POWER, Arm64
CUDA Demo Suite	11.4.100	x86_64
CUDA GDB	11.4.120	x86_64, POWER, Arm64
CUDA Memcheck	11.4.120	x86_64, POWER
CUDA NVCC	11.4.152	x86_64, POWER, Arm64
CUDA nvdisasm	11.4.152	x86_64, POWER, Arm64
CUDA NVML Headers	11.4.120	x86_64, POWER, Arm64
CUDA nvprof	11.4.120	x86_64, POWER, Arm64
CUDA nvprune	11.4.120	x86_64, POWER, Arm64
CUDA NVRTC	11.4.152	x86_64, POWER, Arm64
CUDA NVTX	11.4.120	x86_64, POWER, Arm64
CUDA NVVP	11.4.193	x86_64, POWER
CUDA Samples	11.4.120	x86_64, POWER, Arm64
CUDA Compute Sanitizer API	11.4.120	x86_64, POWER, Arm64
CUDA Thrust	11.4.122	x86_64, POWER, Arm64
CUDA cuBLAS	11.6.5.2	x86_64, POWER, Arm64
CUDA cuFFT	10.5.2.100	x86_64, POWER, Arm64
CUDA cuFile	1.0.2.10	x86_64
CUDA cuRAND	10.2.5.120	x86_64, POWER, Arm64
CUDA cuSOLVER	11.2.0.120	x86_64, POWER, Arm64
CUDA cuSPARSE	11.6.0.120	x86_64, POWER, Arm64
CUDA NPP	11.4.0.110	x86_64, POWER, Arm64
CUDA nvJPEG	11.5.2.120	x86_64, POWER, Arm64
Nsight Compute	2021.2.2.1	x86_64, POWER, Arm64 (CLI only)
NVTX	1.21018621	x86_64, POWER, Arm64
Nsight Systems	2021.3.2.4	x86_64, POWER, Arm64 (CLI only)
Nsight Visual Studio Edition (VSE)	2021.2.1.21205	x86_64 (Windows)
nvidia_fs1	2.7.53	x86_64
Visual Studio Integration	11.4.120	x86_64 (Windows)
NVIDIA Linux Driver	470.82.01	x86_64, POWER, Arm64
NVIDIA Windows Driver	472.50	x86_64 (Windows)

CUDA Deep Neural Network (cuDNN)

cuDNN is an NVIDIA library used by deep learning frameworks to accelerate common components, such as pooling, normalization, and backward convolution. Jetpack 5.0.2 comes with cuDNN 8.4.1, including bug fixes and new enhancements.

TensorRT

TensorRT is a framework created and published by NVIDIA for deep learning inference runtime. Jetpack 5.0.2 includes TensorRT 8.4.1 This version of TensorRT have a support for CUDA 11.x.

TensorRT 8.4.1 has been tested with the following dependencies versions:

• cuDNN 8.4.1
• TensorFlow 1.15.5
• PyTorch 1.9.0
• ONNX 1.9.0

OpenCV

OpenCV is an Open Source library for computer vision tasks. Jetpack 5.0.2 supports OpenCV version 4.5.4.

Vision Programming Interface (VPI)

VPI is a library provided by NVIDIA to easily take advantage of the power of the Programmable Vision Accelerator and the GPU. It brings Computer Vision and Image Processing algorithms implemented to run the PVA, OFA (Optical Flow Accelerator), GPU, and CPU. Jetpack 5.0 comes with VPI 2.1 version.