unexploredtest

Here is how .deb would look like(still not through): [vulkan-kompute-0.6.0-amd64.deb.tar.gz](https://github.com/EthicalML/vulkan-kompute/files/6074556/vulkan-kompute-0.6.0-amd64.deb.tar.gz)

Yes, there are ways to automate package releases for each release (AFAIK) I'll do more research on this regard.

@axsaucedo The building process can be automated via these github actions tools: `https://github.com/marketplace/actions/build-linux-packages` or `https://github.com/bpicode/github-action-fpm` for .deb and .rpm `https://github.com/joerick/cibuildwheel` for python wheels I think these can remove the complexities...

@axsaucedo Here I made a sample workflow and a demonstration of how it will work out: https://github.com/aliPMPAINT/vulkan-kompute/releases/tag/v0.2.9 https://github.com/aliPMPAINT/vulkan-kompute/blob/master/.github/workflows/cpp_linux_x86_64.yml By this way, if we create the said workflows, it'll be possible...

> the bpicode/github-action-fpm seems to be a very simple dockerfile so it may be easier to write down the logic as an explicit step instead of using an external action...

@axsaucedo Sorry for the tardiness, I had huge issues with glslang, and it still remains(will explain). Anyways, with workarounds, here is the current state: https://github.com/aliPMPAINT/vulkan-kompute/releases/tag/0.0.5 The workflows: https://github.com/aliPMPAINT/vulkan-kompute/tree/master/.github/workflows

Older versions of glslang are not compatible, as one of the TBuiltInResource struct variables was removed. This creates problem with Debian and Debian-based distros, as they have out-dated packages. Not...

> When exploring integration and maintenance of package managers we'd ideally depend as little as possible on external dependencies, as otherwise we're at the mercy of all those packages being...

Seems like they're working on it, and being rewritten in C#: [C# branch](https://github.com/subhra74/xdm/tree/migrate-to-c%23)

Apparently scikit-learn version 0.24 doesn't support python 3.10. I doubt newer versions of sci-kit learn will break stuff, but will have to test it. In requirements.txt just change `scikit-learn==0.24` to...