Axelera Embedded

hello I hijack this a little bit … once I type “lspci” it gave me following output on a pi 5 0001:00:00.0 PCI bridge: Broadcom Inc. and subsidiaries BCM2712 PCIe Bridge (rev 30)0001:01:00.0 Processing accelerators: Axelera AI Metis AIPU (rev 02)0002:00:00.0 PCI bridge: Broadcom Inc. and subsidiaries BCM2712 PCIe Bridge (rev 30)0002:01:00.0 Ethernet controller: Raspberry Pi Ltd RP1 PCIe 2.0 South Bridge how to activate the device and getting to work with my python3 script  

Hello my name is Kevin, i am trying to work on a project that the m.2 is going to interfere with my cpu and later on maybe my gpu.is there a way, and another question whats the command to go on rtsp?  my system is:AMD 9950X3D CPUAMD 7900XTX GPU48 gb DDR5 on 8200MHZMetis Axelera AI on an m.2 port. 

This is a very interesting thread as I’m testing and M.2 card on an AMD system as well and am having what seems to be the exact same problems. Things added / tried: kernel command line includes md_iommu=off pcie_aspm=off update-pciids → resulted in card having the correct name in lspci : Axelera AI Metis AIPU (rev 02) axdevice --refresh -v results in: INFO:axelera.runtime.axdevice:Removing 0000:20:04.0INFO:axelera.runtime.axdevice:PCIE rescan0000:25:00.0 : Axelera AI Metis AIPU (rev 02)INFO:axelera.runtime:Found PCI device: 25:00.0 Processing accelerators: Axelera AI Metis AIPU (rev 02)INFO:axelera.runtime:Found AIPU driver: metis                  90112  0WARNING:axelera.runtime:4PCI device count mismatch: lspci=1, triton=0(removed the traceback) just tried rerunning install.sh which mentions at the end: building operators refreshing pcie and firmware WARNING: Failed to refresh pcie and firmware  tried removing metis-dkms / rmmod metis and reinstalling results in same warning as ab

Hello,I know that axelera does not work in the attention mechanism. For example, can we convert the attention mechanism in the yolov11 architecture to convolution? Have you done any research or read on this subject? Does Softmax structure work in Axelera? (as far as I know, no) Is there a way to turn Softmax into a working structure?

Hello, is there a detailed document where I can learn about the Axelera chip architecture and how to do the quantization in it?Thanks

Hello,I wanted to test the Yolo11n model. But I couldn't do this because I got an error in the calibrating part. Is this because of the use of attention mechanism in Yolo11 and Yolo12?Error: ValueError: Some modules couldn’t be simplified: <… activation.Softmax> <…. matmul.MatMul>In addition, when I looked at the ready yaml files on voyager sdk github, I saw that the yolov8x model was not available. Is there a special reason for this? Because when I prepared and tried a new yolov8x yaml file, I got the similar error again. But as far as I know, the attention mechanism is not used in Yolov8x.Thanks

I’m scoping out the Metis M.2 module for a compact edge AI project and wondering how capable it really is. I’m mainly interested in real-time object detection on 1080p video streams, maybe 2–4 cameras max.Can it handle multi-stream inputs in real-time, or is that better suited to the PCIe version?

It’s actually not that complicated getting started with an M.2 module, and there’s a good chance that the Metis isn’t the first M.2 you’ve ever had in your hands.But it’s still good policy to familiarise yourself with both the hardware and the software when you’re ready to unbox that little AI beauty.To help with that, we’ve got a series of articles to walk you through…Installation: Handling and installing the M.2 in your host system, and a great tip on how to confirm there’s suitable power getting to it once it’s in place Integration: Top tips on figuring out whether the host PC (or system or platform) is nicely compatible with the needs of the Metis accelerator. Voyager SDK: Once it’s installed and ready, all you need is the Voyager SDK.This is all just to get you started, and then the real work begins! Make sure you share what you’re building right here on the Axelera community 👍