glew alone is not enough to propagate explicitly:
```
$ nix run nixpkgs#mindustry
[E] Failed to initialize discord. Enable debug logging for details.
[E] java.lang.ExceptionInInitializerError
at arc.backend.sdl.SdlApplication.lambda$init$0(SdlApplication.java:73)
at arc.backend.sdl.SdlApplication.check(SdlApplication.java:181)
at arc.backend.sdl.SdlApplication.init(SdlApplication.java:73)
at arc.backend.sdl.SdlApplication.<init>(SdlApplication.java:29)
at mindustry.desktop.DesktopLauncher.main(DesktopLauncher.java:36)
Caused by: arc.util.ArcRuntimeException: Couldn't load shared library 'libsdl-arc64.so' for target: Linux, 64-bit
at arc.util.SharedLibraryLoader.load(SharedLibraryLoader.java:85)
at arc.backend.sdl.jni.SDL.<clinit>(SDL.java:142)
... 5 more
Caused by: arc.util.ArcRuntimeException: java.lang.UnsatisfiedLinkError: /tmp/arc/35a2b27b/libsdl-arc64.so: /nix/store/v8pdm5rd4f89ng08zgxryyil065g1dh2-SDL2-2.0.20/lib/libSDL2.so: cannot open shared object file: No such file or directory
at arc.util.SharedLibraryLoader.loadFile(SharedLibraryLoader.java:288)
at arc.util.SharedLibraryLoader.load(SharedLibraryLoader.java:81)
... 6 more
Caused by: java.lang.UnsatisfiedLinkError: /tmp/arc/35a2b27b/libsdl-arc64.so: /nix/store/v8pdm5rd4f89ng08zgxryyil065g1dh2-SDL2-2.0.20/lib/libSDL2.so: cannot open shared object file: No such file or directory
at java.base/jdk.internal.loader.NativeLibraries.load(Native Method)
at java.base/jdk.internal.loader.NativeLibraries$NativeLibraryImpl.open(NativeLibraries.java:383)
at java.base/jdk.internal.loader.NativeLibraries.loadLibrary(NativeLibraries.java:227)
at java.base/jdk.internal.loader.NativeLibraries.loadLibrary(NativeLibraries.java:169)
at java.base/java.lang.ClassLoader.loadLibrary(ClassLoader.java:2407)
at java.base/java.lang.Runtime.load0(Runtime.java:747)
at java.base/java.lang.System.load(System.java:1857)
at arc.util.SharedLibraryLoader.loadFile(SharedLibraryLoader.java:294)
at arc.backend.sdl.jni.SDL$3.loadFile(SDL.java:140)
at arc.util.SharedLibraryLoader.loadFile(SharedLibraryLoader.java:260)
... 7 more
```
Let's add all SDL and alsa-lib as well. Instead of using propagatedBuildInputs
let's embed store paths into a shell wrapper.
Without the change the build fails on `master` as:
```
tableau.cc:90:9: error: ordered comparison of pointer with integer zero ('unsigned char*' and 'int')
90 | if(Buf<=0) return false;
| ~~~^~~
```
* cudaPackages.cudnn: migrate to redist cudaPackages
* cudaPackages.cudnn: fix missing zlib in rpath
* cudaPackages.cudnn: remove the propagated cudatoolkit
* cudaPackages.cudnn: use autoPatchelfHook
instead of custom find ... -exec ldd | grep routine
mark libcudnn_cnn_infer.so as needed for libcudnn.so on cudnn>=8.0.5
- a hint for autoPatchelf, as an alternative to manually adding $ORIGIN
* cudaPackages.cudnn: use automatic hooks for rpath
as a more common way to use addOpenGLRunpath and autoPatchelf with cudaPackages
* cudaPackages.cudnn: consume individual cuda packages
...since cudnn is part of the cuda package set
- introduces the scary useCudatoolkitRunfile function argument
to discourage usage of the runfile-based cudatoolkit
- instead of the rather hidden useRedist term in let ... in
- repeats cudatoolkit_root pattern after cuda_joined in pytorch &c
(the "toolchain view")
- redist packages are marked optional to support cuda<11.4 where the
attributes for redist packages do not exist
* cudaPackages.cudnn: update to pname+version
Co-authored-by: Sandro <sandro.jaeckel@gmail.com>
Co-authored-by: Sandro <sandro.jaeckel@gmail.com>
There are many different versions of the `cudatoolkit` and related
cuda packages, and it can be tricky to ensure they remain compatible.
- `cudaPackages` is now a package set with `cudatoolkit`, `cudnn`, `cutensor`, `nccl`, as well as `cudatoolkit` split into smaller packages ("redist");
- expressions should now use `cudaPackages` as parameter instead of the individual cuda packages;
- `makeScope` is now used, so it is possible to use `.overrideScope'` to set e.g. a different `cudnn` version;
- `release-cuda.nix` is introduced to easily evaluate cuda packages using hydra.
Sandro Jäckel