$ sudo lsof | wc -l
1191414

THat's not much is it

In reply to @gjvnq:matrix.org

Yeah, I had already figured out it but the bug issue is that I don't know what is the "right" way to include the definition of the half type.

To make matters worse, I've tried to compile AliceVision on a docker container and using the official compilation scripts and yet the thing keeps failing. This means I can't even look at how the thing is supposed to compile.

I'm at a bit of a loss as for how to proceed, but I suspect that I'll have to either ask the original authors for help or carefully read the cmake compilation scripts in order to look for potential sources of the error.

Theoretically AliceVision has a nice CI pipeline but I can't see their build history so I don't even know how useful their CI scripts are.

In reply to @ss:someonex.net
Could it be this https://github.com/AcademySoftwareFoundation/Imath/blob/2fc9d89ec52003350fcfd20f337bb3d0b870ff5a/src/Imath/half.h#L180-L182

In reply to @ss:someonex.net

I suppose we need some kind of a fixpoint 🤷
Btw, I just had a look at the mangohud derivation, and

• we're still doing inherit (linuxPackages.nvidia_x11) libXNVCtrl which I think is a mauvais ton (referencing a concrete version of linuxPackages from nixpkgs)
  • I still think it belongs in the top-level, maybe as an attrset, libXNVCtrlVersions
  • probably a very bad idea, but the nvidia nixos module could add an overlay setting the respective default version of libXNVCtrl
  • all packages taking libXNVCtrl from the top-level, we'd ensure only one version is in use in any given closure (probably at the cost of rebuilding reverse dependencies)
• passing a python package (mako) rather than python3Packages

Honestly, not sure if this is worth the effort 🙃

[astraluser@edward:~/Downloads/f/TensorRT-8.6.1.6]$ ls python/tensorrt-8.6.1-cp3
tensorrt-8.6.1-cp310-none-linux_x86_64.whl  tensorrt-8.6.1-cp36-none-linux_x86_64.whl   tensorrt-8.6.1-cp38-none-linux_x86_64.whl   
tensorrt-8.6.1-cp311-none-linux_x86_64.whl  tensorrt-8.6.1-cp37-none-linux_x86_64.whl   tensorrt-8.6.1-cp39-none-linux_x86_64.whl

python3.11-tensorrt> /nix/store/d3dzfy4amjl826fb8j00qp1d9887h7hm-stdenv-linux/setup: line 131: pop_var_context: head of shell_variables not a function context
error: builder for '/nix/store/8pw2fjq86vbkdd6s1bl6axfkhbnm18lr-python3.11-tensorrt-8.6.1.6.drv' failed with exit code 2;
       last 10 log lines:
       > Using pythonImportsCheckPhase
       > Sourcing python-namespaces-hook
       > Sourcing python-catch-conflicts-hook.sh
       > Sourcing auto-add-driver-runpath-hook
       > Using autoAddDriverRunpath
       > Sourcing fix-elf-files.sh
       > Running phase: unpackPhase
       > tar: TensorRT-8.6.1.6/python/tensorrt-8.6.1.6-cp311-none-linux_x86_64.whl: Not found in archive
       > tar: Exiting with failure status due to previous errors
       > /nix/store/d3dzfy4amjl826fb8j00qp1d9887h7hm-stdenv-linux/setup: line 131: pop_var_context: head of shell_variables not a function context
       For full logs, run 'nix log /nix/store/8pw2fjq86vbkdd6s1bl6axfkhbnm18lr-python3.11-tensorrt-8.6.1.6.drv'.

In reply to @matthewcroughan:defenestrate.it
Did you guys know that python311Packages.tensorrt is broken because someone updated pkgs/development/cuda-modules/tensorrt/releases.nix without checking that it broke any derivations?

In reply to @connorbaker:matrix.org
What revision of nixpkgs are you on? master fails to build (go-stable-diffusion errors during CMake configure)

hey all, has anyone had success using cuda libraries inside a docker container built with nix? i don't mean running a cuda container on nixos host but the opposite, running a nix container containing cuda program on another host
i build a container with nix and pytorch etc and run it on runpod, it doesnt see nvidia drivers/device though, i guess i am missing something. currently i have:

        dockerImages.default = pkgs.dockerTools.streamLayeredImage {
          name = "ghcr.io/my-image";
          tag = "latest";

          contents = [
            pkgs.bash
            pkgs.uutils-coreutils-noprefix
            pkgs.cacert
            pkgs.libnvidia-container

            pythonEnv
          ];

          config = {
            Cmd = [ "${pkgs.bash}/bin/bash" ];
            Env = [
              "CUDA_PATH=${pkgs.cudatoolkit}"
              "LD_LIBRARY_PATH=${pkgs.linuxPackages_5_4.nvidia_x11}/lib"
            ];
          };
        };

In reply to @grw00:matrix.org

hey all, has anyone had success using cuda libraries inside a docker container built with nix? i don't mean running a cuda container on nixos host but the opposite, running a nix container containing cuda program on another host
i build a container with nix and pytorch etc and run it on runpod, it doesnt see nvidia drivers/device though, i guess i am missing something. currently i have:

        dockerImages.default = pkgs.dockerTools.streamLayeredImage {
          name = "ghcr.io/my-image";
          tag = "latest";

          contents = [
            pkgs.bash
            pkgs.uutils-coreutils-noprefix
            pkgs.cacert
            pkgs.libnvidia-container

            pythonEnv
          ];

          config = {
            Cmd = [ "${pkgs.bash}/bin/bash" ];
            Env = [
              "CUDA_PATH=${pkgs.cudatoolkit}"
              "LD_LIBRARY_PATH=${pkgs.linuxPackages_5_4.nvidia_x11}/lib"
            ];
          };
        };

In reply to @ss:someonex.net
Hard coding linuxPackages in the image is a bad idea. With cuda you normally don't want drivers in the image, you want the host's drivers mounted in the containet

In reply to @grw00:matrix.org
not sure what CDI is, i understand i need the /run/opengl-driver but i'm not sure how to achieve that in docker container

In reply to @grw00:matrix.org
ah kk, got it. i'm specifically trying to use this on runpod.io, i don't think they offer this as a possibility. it seems like the images they offer all have cuda installed in image

In reply to @grw00:matrix.org
not sure what CDI is, i understand i need the /run/opengl-driver but i'm not sure how to achieve that in docker container

❯ ssh 6r0gwnq7twsots-644110b1@ssh.runpod.io

-- RUNPOD.IO --
Enjoy your Pod #6r0gwnq7twsots ^_^

bash-5.2# nvidia-smi
bash: /usr/bin/nvidia-smi: cannot execute: required file not found