Enable SPI Jetson AGX Orin for AD/DA board

[castej10]

Hello, Im trying to use the waveshare High-Precision AD/DA Board but im having issues figuring out how to configure the GPIO for SPI.

this is my system configuration:
L4T: 36.3.0
Jetpack: 6.0

Ive been trying to follow this link to perform the loop back test

here is what i get:

castej@castej-desktop:~$ sudo ./spidev_test -D /dev/spidev0.0 -v -p "HelloWorld123456789abcdef"
spi mode: 0x0
bits per word: 8
max speed: 500000 Hz (500 KHz)
TX | 48 65 6C 6C 6F 57 6F 72 6C 64 31 32 33 34 35 36 37 38 39 61 62 63 64 65 66 __ __ __ __ __ __ __  | HelloWorld123456789abcdef
RX | 48 65 6C 6C 6F 57 6F 72 6C 64 31 32 33 34 35 36 37 38 39 61 62 63 64 65 66 __ __ __ __ __ __ __  | HelloWorld123456789abcdef
castej@castej-desktop:~$ sudo ./spidev_test -D /dev/spidev0.0 -s 10000000 -v
spi mode: 0x0
bits per word: 8
max speed: 10000000 Hz (10000 KHz)
TX | FF FF FF FF FF FF 40 00 00 00 00 95 FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF F0 0D  | ......@....�..................�.
RX | FF FF FF FF FF FF 40 00 00 00 00 95 FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF F0 0D  | ......@....�..................�.
castej@castej-desktop:~$ 

but when i try to run the waveshare AD/DA board i get “ID READ FAILED” error, like this post.

[carolyuu]

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: https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html
• 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: https://elinux.org/Jetson/L4T/TRT_Customized_Example#TensorRT_Python

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!

[KevinFFF]

Hi castej10,

Are you using the devkit or custom board for AGX Orin?

It seems you’ve verified SPI loopback test working.
How do you port the AD/DA module?
Do you get and follow the porting guide shared from your vendor?

Please share the full dmesg for further check.