Questions about deploying AI models to the mcimx93evk board

[NXP_imx93evk_user]

Hello everyone in the developer community,

I am currently working on deploying AI models using the mcimx93evk board. I have successfully booted the board via eMMC, but I am encountering some challenges with the subsequent steps and would like to seek your advice.

Here are the steps I have completed so far:

1. Installed MCUXpresso for VS Code
2. Installed SDK_2_14_2_MCIMX93-EVK
3. Created an ethosu_apps example project
4. Built the ethosu_apps project
5. Generated the ethosu_apps.elf file

I am looking for specific instructions or guidance on how to deploy and execute the ethosu_apps.elf file on the mcimx93evk board. If there is a particular pipeline for deploying AI models to the mcimx93evk board, sharing this information would be immensely helpful.

Your valuable experiences and knowledge would be greatly beneficial to me. I would appreciate any advice you can provide. Thank you in advance for your support!

[Harvey021]

Hi,

You don't need to compile ethosu_apps.elf. There is already one under /lib/firmware in default BSP.

To refer to the <7.2 Hardware acceleration with Ethos-U on i.MX 93 platform> of i.MX Machine Learning User's Guide (nxp.com) for more details.

Regards

Harvey