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25
mcunha
Ensign
mcunhaEnsign
 Voyager SDK
Support to zsh

I am using zsh as my shell application. While activating the environment, I encountered this error:   voyager-sdk git:(release/v1.3) ✗ source venv/bin/activate _AX_set_env:4: bad substitutionDo you think providing support for shells other than bash would help? 

202
emustafa
Axelera Team
mcunha
Ensign
mcunhaEnsign
 Metis M.2
Firmware update

I am having a problem while updating the firmware version to 1.3.0, which is present in the release of voyager-sdk 1.3.1 on GitHub (branch - release/v1.3). I am using the Aetina RK3588 Evaluation Kit. Here is the filename containing the firmware:firmware_release_public_v1.3.0.tar.gzThe output of axdevice command is : Device 0: metis-0:1:0 1GiB m2 flver=1.3.0-rc3 bcver=1.4 clock=800MHz(0-3:800MHz) mvm=0-3:100%Here is the error I am facing:(venv) aetina@aetina:~/devel/axelera/firmware/firmware_release_public_v1.3.0$ ./flash_update.sh --fw-update>>> Metis Firmware update>>> the following operations updates the flash content Make sure to only run this operation if really needed Also make sure to not power cycle the devices or it might be rendered non-functional.Do you want to continue? [y/n] y>>> loading new AIPU runtime stage0[00:15:56.989,227] <inf> app: Start pcie check thread 0x833a00>>> set flash force flag>>> flash firmware[

192
mcunha
Ensign
Spanner
Axelera Team
SpannerAxelera Team
 Project Challenge: Recognize & React
New deadline for Pioneer 10 Project Challenge submissions

Hi everyone!I think deliveries of kits have pretty much been sorted at this point. It took a little longer than expected to get them all on the various doorsteps around the world 😄So I’m looking at the calendar to adjust the submission deadline, in order to give you guys the time you need to build a working project. How does 16th August sound to you guys? Enough time to get things up and running?It’s about the same duration as originally planned, but with the start date adjusted. Let me know what you think!

244
llrds
Cadet
S
Ensign
skroedelEnsign
 Project Challenge: Recognize & React
Problems install Voyager SDK

I am following these instructions: https://github.com/axelera-ai-hub/voyager-sdk/blob/release/v1.3/docs/tutorials/install.md Unfortunately, when running the install script I am getting this error:./install.sh --all --media --user XXX --token XXXInstall/update prerequisite apt packages required by the installer itself (y/n): y[1/0] sudo DEBIAN_FRONTEND=noninteractive apt-get --no-install-recommends install -y -qqq python3-pip[1/0] E: Unable to correct problems, you have held broken packages.Installing python3-pip failed due to held/conflicting dependencies - attempt to resolve by also updating the dependencies: python3-setuptools python3-pkg-resources (y/n): yInstall/update prerequisite pip packages required by the installer itself (y/n): y[1/0] python3 -m pip install --user pip pyYAML[1/0] /usr/bin/python3: No module named pipERROR: Installer requirements not met I did not install any packages before (just build the WLAN adapter packages as descibed by ​@shabaz )Did anybody have simila

315
S
Ensign
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

21513
V
Axelera Team
dbrenes
Cadet
dbrenesCadet
 Metis M.2
Metis M.2 Not Recognized by lspci on Intel system

Hello! I’ve been trying to connect and use the Axelera Metis M.2 card with no success. The same M.2 on a different PC was recognized correctly by using:lspci | grep AxeleraBut now the card cannot be recognized at all on the new system. Here are some specs of the current host:Dell 5820 CPU: Intel(R) Core(TM) i7-7820X CPU @ 3.60GHz RAM: 32 GB GPU: 2 Quadro RTX 5000 OS: Ubuntu 24.04 I’ve also tried lspci | grep 1f9d with no success. The Metis driver is already installed and loaded with modprobe.I'd appreciate any help or insight on additional steps I could try.Additionally, this is the adapter I’m using for the Axelera card: 

396
V
Axelera Team
llrds
Cadet
llrdsCadet
 Project Challenge: Recognize & React
When can we expect hardware ship?

it will help with planning tasks and meeting the project deadline

383
Spanner
Axelera Team
P
Cadet
PepijnCadet
 Metis PCIe
deploy.py takes really long yolov8 model

Hi, I’m trying to deploy and inference with a yolov8 segmentation model. I tried to follow the tutorial, but I just get:INFO: deploying model yolov8sseg-coco for 4 cores. This may take a while… How long should this run? I left it on for 3.5 hours and nothing happened (except the loading bar). This seems to be a model included in your library: yolov8sseg-coco.Any idea if I can turn on more extensive logging to see what is happening? Thank you in advance!  

192
Steven Hunsche
Axelera Team
G
Cadet
GiodstCadet
 Voyager SDK
Yolo11l custom weigts deploy

Hi, I’m getting very pool performance on Yolo11l custom weigts after the conversion in onnx.I’ve used opset 17 and 16, do you have any suggestions?Thanks.

131
G
Cadet
A
Cadet
AfikCadet
 Metis M.2
Yocto Driver\Layer for Metis

Hi, We are considering adding an AI Accelerator for our board (i.MX8, yocto).Do you support yocto OS?Is there any reference design or example that runs Metis on yocto platform? Thanks,Afik

213
Steven Hunsche
Axelera Team
N
Cadet
negredoCadet
 Metis M.2
QNAP NAS compatibility

Will Metis M.2 ( AXE-BME20M1AR01B02) work with QNAP NAS?

51
Spanner
Axelera Team
M
Cadet
mgrunerCadet
 Metis M.2
Low performance of the Metis M2 on the Raspberry Pi5

Hi! I'm testing the Metis M2 on a Rapsberry Pi 5 using the Ubuntu 22.04 container. I can successfully get results using the inference test suggested by the article:./inference.py yolov8s-coco-onnx ./media/traffic1_480p.mp4 Unfortunately, I get around 4FPS. Is this expected? If I profile the device and the host separately (using --show-host-fps and --show-device-fps) I see that the device is running at ~800FPS while the host is the one bottlenecking at ~4FPS.I tried enabling GLES processing using export AXELERA_OPENGL_BACKEND=gles,3,1but, unfortunately, it makes not much of a difference. I also tried setting the PCI to gen3 by setting the following in the /boot/firmware/config.txt, without any luck:dtparam=pciex1_gen=3As a reference: these are the instructions I'm following:- https://support.axelera.ai/hc/en-us/articles/26362016484114-Bring-up-Voyager-SDK-in-Raspberry-Pi-5- https://support.axelera.ai/hc/en-us/articles/25953148201362-Install-Voyager-SDK-in-a-Docker-ContainerIs this perfo

503
M
Cadet
G
Cadet
GiodstCadet
 Metis M.2
WASB model for tennis ball detection

How can I deploy WASB model on metis m2?

242
G
Cadet
F
Cadet
fatima-zahra.chenaniCadet
 Voyager SDK
axelera-runtime.tar.gz

Bonjour,Je n’arrive pas à récupérer le fichier `axelera-runtime.tar.gz`. Le script `install.sh` affiche “Runtime Installed OK” mais ne télécharge ni n’extrait quoi que ce soit.Aucune URL n’apparaît dans les logs et `libaxruntime.so` est absent de mon système.Merci de me fournir un lien de téléchargement direct pour installer le runtime manuellement.Cordialement,   

412
F
Cadet
lorenzo.lamberti
Cadet
lorenzo.lambertiCadet
 Voyager SDK
Voyager-sdk on singularity

Dear all, I am trying to set up the metis PCIe accelerator on a intel workstation. Later we will move to a full risc-v embedded setup.In out lab workstation we are forced to use singularity instead of docker, so i am trying to translate the docker container into a singularity one.I think i am very close to make everything work. However, i am now stuck with a problem i can’t figure how to solve. in particular, i get a weird error when i try to run a simple ./inference.py with one of the pre-trained models. Below the full description on how i create, run the container, and how i run the example from the voyager sdk my `voyager-sdk-1.2.5.def` fileBootstrap: dockerFrom: ubuntu:22.04%labels Author You Version voyager-sdk-1.2.5%environment export DISPLAY=$DISPLAY%post apt-get update && apt-get install -y \ sudo \ git \ pciutils \ lsb-release \ x11-utils curl \ wget \ gnupg2 \ lsb-release \ software-prop

675
P
Cadet
M
Cadet
maximiliankirCadet
 Voyager SDK
Yolo Performance Issues

Hello, I try to use a YOLO model on 8 camera streams in parallel on the Metis PCIe card. 20-30 fps per camera stream is all I need. With the 548 fps end-to-end stated for YOLOv8s in https://axelera.ai/metis-aipu-benchmarks, it should be possible to reach ~68 fps per camera. As a small test I wrote a python script, which creates a inference stream with 8 videos as input:from axelera.app import config, display, inf_tracersfrom axelera.app.stream import create_inference_streamdef run(window, stream): for frame_result in stream: window.show(frame_result.image, frame_result.meta, frame_result.stream_id) fps = stream.get_all_metrics()['end_to_end_fps'] print(fps.value)def main(): tracers = inf_tracers.create_tracers('core_temp', 'end_to_end_fps', 'cpu_usage') stream = create_inference_stream( network="yolov5s-v7-coco", sources=[ str(config.env.framework / "media/traffic1_1080p.mp4"), str(config.env.framework / "media/traffic1_

1368
M
Cadet
J
Cadet
jjprCadet
 Metis PCIe
Enabling Metis PCIe on RISC-V host, some low level memory problems

Hi all,I am trying to enable the the usage of the Metis PCIE rev02 on RISC-V Hosts, in particular the Sifive P550. Currently I could successfully (at least I think so), install the drivers and the device gets correctly identified and mapped in the system. I attach the loggings just to be sure: dmesg (after rescan):[  858.500785] pci 0000:01:00.0: [1f9d:1100] type 00 class 0x120000[  858.500843] pci 0000:01:00.0: reg 0x10: [mem 0x04380000-0x04380fff 64bit][  858.500865] pci 0000:01:00.0: reg 0x18: [mem 0x08000000-0x09ffffff][  858.500922] pci 0000:01:00.0: reg 0x30: [mem 0x00000000-0x0000ffff pref][  858.500943] pci 0000:01:00.0: Max Payload Size set to 512 (was 128, max 512)[  858.501115] pci 0000:01:00.0: supports D1[  858.501121] pci 0000:01:00.0: PME# supported from D0 D1 D3hot[  858.516166] pci_bus 0000:01: busn_res: [bus 01] end is updated to 01[  858.516197] pcieport 0000:00:00.0: BAR 14: assigned [mem 0x42000000-0x44ffffff][  858.516209] pci 0000:01:00.0: BAR 2: assigned [mem 0x

332
J
Cadet
Spanner
Axelera Team
SpannerAxelera Team
 LLMs, NLP, Neural Networks
Which models are you using with Metis? Or want to use.

I’m interested in hearing from everyone here about which models you’re successfully using with your Metis device and Voyager SDK, and which ones you’d like to see being officially supported.This could be really useful info in terms of prioritisation when it comes to adding more support in the model zoo.

130
Spanner
Axelera Team
S
Cadet
saitejajampulaCadet
 The Axelera Forum
Anyone Tried Running Axelera with ROS 2? Facing video_infer Output Issue

Hi Axelera Community,Has anyone here successfully run the Axelera Voyager SDK with ROS 2? I’m currently working on integrating the video_infer node with ROS 2 and would really appreciate hearing from anyone who has tried this setup.My Setup: Hardware: Aetina board SDK Version: voyager-sdk v1.2.5 ROS 2: Humble (on Ubuntu 22.04) Python: 3.10 (using a virtual environment) Model Used: yolov5s-v7-coco Inference Server:python3 inference_server.py yolov5s-v7-coco none --port 50051 --no-display ROS 2 Node:ros2 run axelera_infer video_infer What’s Working: The inference server starts successfully and shows: Server started, listening on 50051 INFO : Using device metis-0:1:0 The ROS2 node launches and shows: [INFO] [video_infer_node]: Starting video inference node... [INFO] [video_infer_node]: Sending inference request... [INFO] [video_infer_node]: StreamInfer started successfully No errors are thrown on either side. Problem: The stream only seems to run a few frames: Stream Playing

965
Spanner
Axelera Team
M
Cadet
ma926Cadet
 Metis M.2
Metis M.2 1.3.0 firmware upgrade

Hi! I wanted to upgrade my M.2 card with latest firmware 1.3.0 but when trying to invoke command from instruction https://github.com/axelera-ai-hub/voyager-sdk/blob/release/v1.3/docs/tutorials/firmware_flash_update.md#flash-the-board-controller-firmware, I got an error:Do you know how this can be resolved? I’m using Intel i5 processor.

421
Spanner
Axelera Team
D
Cadet
doggenshozenCadet
 Metis M.2
Can I use my GPU memory with Metis M.2 for local LLM?

This may not be possible because of how the software and hardware work together. I’m new here, and not traditionally a SW engineer, but I have a question/ suggestion. I noticed when I attempted to run the example local LLM inference scripts in the SDK that I can’t run them with only 1GB of DDR memory on the card. I think the example needs to be edited so that the model can be run on 1 GB of DDR (a model like tinyllama or similar that’ll actually fit in the 1GB of space.)After thinking about it, I do have an intel Raptor Lake integrated GPU, and an external NVIDIA A500 from Adlink Technologies. Is there any way to use the memory in the integrated CPU or the thunderbolt connected A500 GPU to run the LLM inference demos by using the DDR memory in the other devices? That would be very very useful!

160
D
Cadet
D
Cadet
doctoreCadet
 Voyager SDK
Import custom models

Hi there,I've been truly impressed by this chip over the past couple of days—its object detection and LLM capabilities, combined with its energy efficiency, are remarkable. However, for my current project, I need to use Gemma3 and Whisper. From what I understand, your SDK requires using precompiled paths, which suggests that if a model isn’t officially supported by Axelera AI, we might not be able to run it directly.Am I understanding this correctly, or is there an alternative way to use custom models like Gemma and Whisper within your ecosystem?Thanks in advance!

733
Spanner
Axelera Team
H
Cadet
HermioneCadet
 Voyager SDK
inference.py quick start - import Gst failed ModuleNotFoundError

Hi,My goal is to try out a few tutorials with the latest SDK release. Looks like a python package is not found, any clues what I could try?System: Axelere M.2 Card with Aetina Eval SystemVoyager SDK v1.3.1 - a fresh install of the SDK this timeFirst installed the latest driver https://software.axelera.ai/artifactory/axelera-apt-source/metis-dkms/metis-dkms_1.0.2_all.debthen I ran the installer with./install.sh --all --media --user <email addr> --token <token>I got a few suspicious warnings and hit ‘y’ a number of times. Then install of 186 packages completed.[185/186] Install gstreamer1.0-rtspbuilding operatorsrefreshing pcie and firmware0000:01:00.0 : DeviceDevice 0: metis-0:1:0 1GiB m2 flver=1.2.0-rc2 bcver=1.0 clock=800MHz(0-3:800MHz) mvm=0-3:100%Installation complete, but with unresolved issues (see above) firefly@aetina:~/Documents/g2-testing/voyager-sdk$ source venv/bin/activate I proceeded to try inference.py with one of the included videos as input(venv) firefly@aet

373
Radhika J
Axelera Team
Z
Cadet
zarubafCadet
 Metis PCIe
Authentication failed

I wanted to try the new SDK version `v1.3.1` but I now run into authentication issues with the installer.Authentication is required for the package index URL: https://software.axelera.ai/artifactory/axelera-dev-pypi/ - for the subset developmentChecking credentials with: pip install --dry-run --force --no-deps --no-cache-dir --break-system-packages --index-url https:/<email>:<token>@software.axelera.ai/artifactory/axelera-dev-pypi/ axelera_compilerERROR: Authentication failed for the supplied email address (florianzaruba@gmail.com) and token.When trying to run the step manually it succeeds though: ➜ voyager-sdk git:(v1.3.1) ✗ pip install --dry-run --force --no-deps --no-cache-dir --break-system-packages --index-url https://florianzaruba@gmail.com:<token>@software.axelera.ai/artifactory/axelera-dev-pypi/ axelera_compilerDefaulting to user installation because normal site-packages is not writeableLooking in indexes: https://florianzaruba%40gmail.com:****@software.axele

241
Spanner
Axelera Team
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

15520
Spanner
Axelera Team

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