Hi, we used Orin 64GB moudle to run a EtherCAT master on embodied intelligent robot, we found that the jitter of EtherCAT packet was too big to use.
The command that sudo cyclictest --mlockall --smp --priority=80 --interval=200 --distance=0.
Pls show some docs about EtherCAT on Orin, thanks!
Hi,
Here are some suggestions for the common issues:
1. Performance
Please run the below command before benchmarking deep learning use case:
$ sudo nvpmodel -m 0
$ sudo jetson_clocks
2. Installation
Installation guide of deep learning frameworks on Jetson:
- TensorFlow: Installing TensorFlow for Jetson Platform - NVIDIA Docs
- PyTorch: Installing PyTorch for Jetson Platform - NVIDIA Docs
We also have containers that have frameworks preinstalled:
Data Science, Machine Learning, AI, HPC Containers | NVIDIA NGC
3. Tutorial
Startup deep learning tutorial:
- Jetson-inference: Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson
- TensorRT sample: Jetson/L4T/TRT Customized Example - eLinux.org
4. Report issue
If these suggestions don’t help and you want to report an issue to us, please attach the model, command/step, and the customized app (if any) with us to reproduce locally.
Thanks!
Hi,
Please execute sudo jetson_clocks and see if there is improvement. For further check, you can run sudo tegrastats to check the system status.
hello, we could get some implovement abviously if setting Orin in MAXN mode. But it is not enough. I think the reasonable mathod is below:
- Set Orin to MAXN mode;–we can do it.
- Using SOCK-RAW to inact with MAC, breaking through OSI model;–we can do it.
- Using a Real-Time Kernel; --Need NV help or Patch or Documents.
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