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14
I
Cadet
IAKCadet
 Metis M.2
Problems with network inference. Uio wait kernel failed with return code -1406.

Hello!I am facing some problems tring to run a network inference on the Metis M.2 with Raspberry Pi via Docker. To try the inference I have followed the steps in the guide (https://support.axelera.ai/hc/en-us/articles/26362016484114-Bring-up-Voyager-SDK-in-Raspberry-Pi-5) but after trying to run the inference.py, I face the following errors:  (venv) root@iak:/home/voyager-sdk# ./inference.py yolov8s-coco-onnx ./media/traffic1_480p.mp4INFO    : Using device metis-1:1:0WARNING : Failed to get OpenCL platforms : clGetPlatformIDs failed: PLATFORM_NOT_FOUND_KHRWARNING : Please check the documentation for installation instructionsINFO    : Default OpenGL backend gl,3,3 overridden, using gles,3,1INFO    : Network type: NetworkType.SINGLE_MODELINFO    : InputINFO    :   └─detectionsStream Paused:  57%|██████████████████████████████████████████████████████▊                                         | 4/7 [00:00<00:00,  5.56/s][ERROR][axeWaitForCommandList]: Uio wait kernel failed with return c

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Spanner
Axelera Team
K
Cadet
ku15921Cadet
 Metis M.2
Error installing metis-dkms

Hi,I'm having trouble installing the metis-dkms driver. Can you help me?The device is a NanoPC-T6 from Friendly Elec, and the operating system is Ubuntu 22.04, also provided by Friendly Elec.I'm leaving the error message and OS information below. If there is any more information I should provide, please let me know. Thank you. The Error:$ sudo dpkg -i metis-dkms_0.07.16_all.deb(Reading database ... 155441 files and directories currently installed.)Preparing to unpack metis-dkms_0.07.16_all.deb ...Deleting module metis-0.07.16 completely from the DKMS tree.Unpacking metis-dkms (0.07.16) over (0.07.16) ...Setting up metis-dkms (0.07.16) ...Loading new metis-0.07.16 DKMS files...Building for 6.1.99Building for architecture aarch64Building initial module for 6.1.99ERROR (dkms apport): kernel package linux-headers-6.1.99 is not supportedError! Bad return status for module build on kernel: 6.1.99 (aarch64)Consult /var/lib/dkms/metis/0.07.16/build/make.log for more information.dpkg: error pro

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Axelera Team
P
Cadet
pautu227Cadet
 Metis M.2
Trying to setup rpi5 with metis m2

​@Victor Labian I’m also trying to setup rpi5 with metis m2. I have question what host OS you was using and have you changed anything in config.txt?

24029
Spanner
Axelera Team
S
Cadet
SaitejaCadet
 Metis M.2
Deploying the YOLOPv2 model on to Metis M2 for lane detection

Hi, I am also working on same thing deploying the YOLOPv2 model on to Metis M2. I have downloadded the data set from bdd100k and arranged in this manner.voyager-sdk/├── data/│   └── yolopv2_dataset/│       ├── images/│       ├── labels/│       ├── cal.txt│       ├── val.txt│       └── data.yaml├── customers/│   └── my_yolopv2/│       └── yolopv2.pt└── yolopv2-custom.yamlso when i am trying to deploy the model using yaml I am getting this error(venv) aravind@aravind-H610M-H-V2:~/Desktop/voyager-sdk$ ./deploy.py customers/my_yolopv2/yolopv2.yamlINFO    : Using device metis-0:1:0INFO    : Detected Metis type as pcieINFO    : Compiling network yolopv2-custom /home/aravind/Desktop/voyager-sdk/customers/my_yolopv2/yolopv2.yamlINFO    : Compile model: yolopv2-customINFO    : Imported DataAdapter ObjDataAdaptor from /home/aravind/Desktop/voyager-sdk/ax_datasets/objdataadapter.py/home/aravind/.cache/axelera/venvs/93f45ae3/lib/python3.10/site-packages/torch/serialization.py:779: UserWarning: 'to

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Axelera Team
F
Cadet
floritCadet
 Metis M.2
Metis M.2 on Raspberry Pi 5 - Driver Installation and Docker Setup Issues

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  

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F
Cadet
M
Cadet
MehmetYigitCadet
 Metis M.2
Metis M.2 Accelerator Can't Recognized by Jetson AGX Orin

Hello.I recently received the m.2 metis accelerators and did a test on the boards provided by Axelera and got results close to the published benchmarks. It was succesful.I then connected these accelerators to the Orin (via the m.2 slot) in order to use them also for the my Jetson AGX Orin environment. But in the voyager-sdk installation i got “WARNING: Failed to refresh pcie and firmware” error. The installation completes but the accelerator device does not show up on my system. In lspci -tv command I get the output attached to this post. Can’t see metis there.I didn't see any information about the compatibility of these accelerators with Jetson systems (my m2 slot is M-key). If they are compatible, can you help me to fix the installation?Thanks :)

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Axelera Team
F
Cadet
floritCadet
 Voyager SDK
voyager token

it ask me every time about token … yes I use my registered emailand I did not found any token in my accountwtf

91
Spanner
Axelera Team
Z
Cadet
zefirCadet
 Voyager SDK
Is graphical video output expected to work from within the docker SDK?

Hi all,I’m a docker noob, so please bear with me if this is a stupid question.To get the SDK operational on my Ubuntu-24.04 system I followed the Install Voyager SDK in a Docker Container and can make it up to test-running some inferences. Alas, while I expected the videos to be displayed in a dedicated window at full resolution, for me they are shown in the active text-console (ncurses-based I assume), obviously coarse and slow.I tried to learn how to activate graphics output from within docker, but all I got was that docker essentially is meant to be text-only and graphics usually is provided via web-browser of pages served from within docker.So to put it bluntly: those videos showing Voyager SDK performing object detection at exhibitions at full-resolution and full-framerate, are those from within docker or are they run from a native ubuntu-22 system?If it is possible to tune docker to have that video output, a mini-howto would help a lot. 

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Axelera Team
Z
Cadet
zefirCadet
 Metis PCIe
Reset and resource allocation failures on Metis PCIe device on AMD64 system

Dear all,I am trying to get my hands on the Metis PCIe card on my current working PC, beingmainboard: Asus Prime X570-P CPU: AMD Ryzen 9 3900X OS: Ubuntu 24.04.2 LTS, 6.8.0-58-generic x86_64The first issue I face is that the warm-reset does not seem to work for me, i.e. if I issue a reboot without re-powering the system, the Metis device does not show up in lspci, while after a power-down (with physical PSU switching off) it is there. This is reproducible and based on my experience points to either my mainboard BIOS issuing a wrong reset sequence to the PCIe slot, or the device itself not issuing a full reset sequence on warm-boot. Since I know how to get the card detected, this is only an annoyance - but I saw that also another user of AMD64 system in the forum has similar issues and the problem might go deeper.Which leads to the second issue I am observing and which I filed already a support request but realized here would be the better place to discuss it.According to David M. to ch

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Axelera Team
Spanner
Axelera Team
SpannerAxelera Team
 LLMs, NLP, Neural Networks
May the Source (Code) be With You!

May 4th is almost upon us, so naturally we’re thinking about AI… in space. More specifically: the AI and droid legends of the Star Wars universe.From multilingual protocol units to rogue assassin bots with surprising moral compasses, Star Wars has given us some of the most iconic (and occasionally chaotic) artificial intelligences in sci-fi.So here’s the question...

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Axelera Team
D
Cadet
DrouenCadet
 Metis M.2
Troubleshooting installation

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. 

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Ensign
O
Ensign
oguzEnsign
 Metis M.2
Transforming the Attention mechanism into Convolutional

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?

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Axelera Team
O
Ensign
oguzEnsign
 Metis M.2
How does Axelera speed up models?

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

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Axelera Team
S
Ensign
saravananEnsign
 The Axelera Forum
Deploying lane dection model (yolopv2.onnx) on metis M2

Hello,I am currently working on lane detection model (YOLOv2) which is in .pt format I have converted to ONNX format.Here are the terminal responses I have got..root@aetina:/voyager-sdk# cd YOLOPv2root@aetina:/voyager-sdk/YOLOPv2# lsLICENSE    data     demo2.py        models            runs   yolopv2-envREADME.md  demo.py  export-onnx.py  requirements.txt  utilsroot@aetina:/voyager-sdk/YOLOPv2# cd modelsroot@aetina:/voyager-sdk/YOLOPv2/models# ls__pycache__  common.py  experimental.py  yolopv2.onnx  yolopv2.ptroot@aetina:/voyager-sdk/YOLOPv2/models# I am having the ONNX format of the model so now I want to deploy the model onto Metis M2. When I am trying to compile the yolopv2.onnx model but i am encountering this issue.root@aetina:/voyager-sdk# /voyager-sdk/bin/voyager-compile models/yolopv2.onnx --output-dir build/yolopv2 --input-shape "1,3,640,640"bash: /voyager-sdk/bin/voyager-compile: No such file or directoryI request to guide me to successfully deploy the model.Note; I am using

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Ensign

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