I have been trying to flash JetPack 5.1.4 on an orin with JetPack6.0 and it fails both using the SDK on a host computer and using docker. This is the log using the host PC
SDKM_logs_JetPack_5.1.4_Linux_for_Jetson_Orin_Nano_[8GB_developer_kit_version]_2024-11-29_17-31-02.zip (185.5 KB)
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!