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Building on Papillon's original guide on the PixInsight forum, I've put together a consolidated and maintained version on GitLab:

https://gitlab.com/K-22/pixinsight_rocm_linux_instructions


What it covers

The guide walks through building TensorFlow 2.19.1 with ROCm 7.2 support inside a Docker container and configuring PixInsight to use it. The Docker approach keeps the build clean and reproducible — no build dependencies on your host. Also includes performance tuning and troubleshooting.

Tested with

  • AMD Radeon RX 9070 XT (RDNA4 / gfx1201)
  • Ubuntu 24.04 and CachyOS (Arch-based)
  • ROCm 7.2, TensorFlow 2.19.1

Should work with older AMD generations (RDNA3, RDNA2, etc.) by adjusting the target architecture flag — the guide explains how.

Contributions welcome

AMD GPU support on Linux is a moving target. If you've tested a different GPU, found a distro-specific fix, or have a better configuration — open an issue or MR on the repo. Even just confirming it worked on your setup helps.


Full credit to Papillon for the original guide. This repo is just an effort to make it easier to find, maintain, and extend.

Clear skies.

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Astrophotography

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