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Hi, I have a custom U-Net model with MobileNetV2 encoder running on the Axelera portenta with voyager v1.4.0. I’ve based my code for inference on the axruntime python example in the Voyager github repository, with the model being compiled by the Voya
I recently acquired a Metis M.2 module and was so excited to get started with it. To my horror, I installed it into a standard, modern x86 mini PC (with power disconnected, all by the books), and the system was bricked upon my first attempt to boot.
We currently run the Voyager SDK + Metis AIPU on a custom Yocto image (Scarthgap 5.0.18) on x86_64 (Ryzen 5 8500G / B650M). We're migrating the base OS to Ubuntu/Debian for hardware-agnostic driver support, and want to confirm a few things before sta
Voyager v1.7 landed and, past the usual new-models-and-hardware stuff, there are a few things that change what you can actually build on Metis that I thought it was worth us all taking two minutes to look at.The one that caught my eye right away is t
SummaryOn a Metis dev system, ./deploy.py <model> fails at the compile step: it exits with RC=1 and writes nothing to stdout or stderr (captured 1>out.txt 2>err.txt → both empty), produces no log file, and no traceback. It reproduces on a
As the title suggests, I want to factory reset the board so that I can reinstall and setup the board from a clean state? How can I do it?
class FrameResult:image: Optional[types.Image] = Nonetensor: Optional[np.ndarray] = Nonemeta: Optional[AxMeta] = Nonestream_id: int = 0src_timestamp: int = 0sink_timestamp: int = 0render_timestamp: int = 0Could you explain when exactly these 3 timest
Will this ever be made available? I am interested in the 16gb version.
Hi everyone — I'm Lorenco, a Rust/C++ compiler & real-time/kernel systems engineer (based in Italy), getting to know the Metis/Voyager stack.While reading axelera-driver I came across GitHub issue #4 — the use-after-free in axl_aipu_remove() on `
Hi,I'm trying to deploy a custom classification model on the Metis AIPU using the Voyager SDK. The model includes a CBAM attention block, but it fails during quantization with a topological sort error that points to a Gemm node.To verify that the iss
Hey everyone,I am evaluating the Metis lineup for an edge AI project and have a specific question about multi-card architecture that I haven't found a definitive answer to in the docs or SDK references.What I understand is supported today: The Voyage
I received my Metis M.2 card yesterday and tried it out on Windows 11 on an ACEMAGIC F3A AMD Ryzen AI 9 HX 370 Mini PC using the instructions in https://docs.axelera.ai/sdk/user-guides/windows-setup/. I had some troubles with the WSL part of the set
Hi, when running inference on Metis M.2 on raspberry CM5 we noticed these errors occuring after couple minutes. error log: [libtriton_linux.c:531] DMABUF_METIS_XFER failed: Input/output error [AxeleraDmaBuf.cpp:222] DMA transfer failed: Input/output
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