Difference between revisions of "Jetson nsight system"

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=Installation=
 
=Installation=
  Jetson Nsight System must be installed via SDKManager
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  Jetson NS (Nsight System) must be installed via SDKManager
 
  NSys User Guide: https://docs.nvidia.com/nsight-systems/UserGuide/index.html
 
  NSys User Guide: https://docs.nvidia.com/nsight-systems/UserGuide/index.html
 
==Install NS on x86 Linux Host==
 
==Install NS on x86 Linux Host==
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==Install NS on Jetson Device==
 
==Install NS on Jetson Device==
'''Note''': on the newly installed Jetson system, there is not Nsight System on it. <br>
 
 
'''1. Installation Steps''' <br>
 
'''1. Installation Steps''' <br>
 
# On x86, launch the Nsight system installed via SDKManager as described above  
 
# On x86, launch the Nsight system installed via SDKManager as described above  

Revision as of 19:49, 29 August 2021

This page describes how to use Nsight System on Jetson L4T system

Installation

Jetson NS (Nsight System) must be installed via SDKManager
NSys User Guide: https://docs.nvidia.com/nsight-systems/UserGuide/index.html

Install NS on x86 Linux Host

1. Install Nsight System via SDKManager

Just click Continue to install Nsight System on x86 Linux System.

2. Verify Installation
After installation is done, you can open it with "nsight-sys" command as below.

Install NS on Jetson Device

1. Installation Steps

  1. On x86, launch the Nsight system installed via SDKManager as described above
  2. In Nsight System, create a new project, and connect to Jetson device as below, this step will install the Nsight target binaries ontO Jetson device

2. Verify Installation
After installation, nsys locates under /opt/nvidia/nsight_systems/ .

Profile

Remote Profile (UI)

User can run Nsight System on Host and remotely profile the application running on Jetson. User can select several options to enable the corresponding proiling.

Local Profile

User can check the profile option

$ /opt/nvidia/nsight_systems/nsys profile --help

Profile Application

Profile

Run an application and capture its profile into a QDSTRM file, and view it in Nsys GUI profiler

 $ sudo /opt/nvidia/nsight_systems/nsys profile -t cuda,nvtx,nvmedia,osrt --accelerator-trace=nvmedia --show-output=true --force-overwrite=true --delay=20 --duration=90 --output=%p  $APP
One exmaple to profile TRT inference:
$ sudo /opt/nvidia/nsight_systems/nsys profile -t cuda,nvtx,nvmedia,osrt --accelerator-trace=nvmedia --show-output=true --force-overwrite=true --delay=20 --duration=90 --output=%p /usr/src/tensorrt/bin/trtexec --loadEngine=yolo_dla_0_bs20.engine --useDLACore=0 --batch=20
Options: --accelerator-trace=nvmedia : enable profile DLA --delay : start profiling after 20 seconds --duration : profile time
View Log

Import QDSTRM file into GUI Nsys:
1. TensorRT and DLA Inference Time

2. CUDA Kernel Run Time

3. Enqueue Time