2 files changed, 118 insertions, 0 deletions
diff --git a/Biz/Bild/Deps/accelerate.nix b/Biz/Bild/Deps/accelerate.nix
new file mode 100644
index 0000000..5d00f14
--- /dev/null
+++ b/Biz/Bild/Deps/accelerate.nix
@@ -0,0 +1,24 @@
+{ fetchFromGitHub
+, buildPythonPackage
+, numpy
+, packaging
+, psutil
+, pyyaml
+, torch
+}:
+
+buildPythonPackage rec {
+  name = "accelerate";
+  version = "0.15.0";
+  propagatedBuildInputs = [
+    numpy packaging psutil pyyaml torch
+  ];
+  doCheck = false;
+  src = fetchFromGitHub {
+    owner = "huggingface";
+    repo = "accelerate";
+    rev = "v${version}";
+    sha256 = "sha256-agfbOaa+Nm10HZkd2Y7zR3R37n+vLNsxCyxZax6O3Lo=";
+  };
+}
+
diff --git a/Biz/Bild/Deps/bitsandbytes.nix b/Biz/Bild/Deps/bitsandbytes.nix
new file mode 100644
index 0000000..8d4fa53
--- /dev/null
+++ b/Biz/Bild/Deps/bitsandbytes.nix
@@ -0,0 +1,94 @@
+{ lib
+, fetchgit
+, buildPythonPackage
+, pytorch
+, setuptools
+, typer
+, linuxPackages
+, pytest
+
+# CUDA
+, cudaSupport ? true
+, cudaPackages ? {}
+, addOpenGLRunpath ? null
+, gcc
+}:
+
+let
+  inherit (linuxPackages) nvidia_x11;
+  inherit (cudaPackages) cudatoolkit;
+  cudaVersion =
+    lib.strings.removeSuffix "0"
+      (lib.strings.concatStrings
+        (lib.strings.splitString "." cudatoolkit.version));
+  libraryPath = lib.strings.makeLibraryPath [
+      cudatoolkit
+      cudatoolkit.lib
+      nvidia_x11
+  ];
+in buildPythonPackage rec {
+  pname = "bitsandbytes";
+  version = "unstable-2022-12-21";
+
+  src = fetchgit {
+    url = "https://simatime.com/git/ben/bitsandbytes.git";
+    rev = "31ef751bea48eeee2e0e95aca79df8e59b4c25c4";
+    sha256 = "sha256-/a2NFVuMSvSDELeXyfDdU9FZEJcDxCLa4VbMWBUCRI0=";
+  };
+
+  # any exe must be wrapped with this, it doesn't effect the build but it does
+  # show up on the logs so keep it here for documentation purposes
+  LD_LIBRARY_PATH = libraryPath;
+
+  # this allows the build system to find nvcc
+  CUDA_HOME = "${cudatoolkit}";
+
+  preBuild = ''
+    make cuda11x CUDA_VERSION=${cudaVersion} GPP=${gcc}/bin/g++ -j3
+    ## this python doesn't know where to get libcuda, so explicitly tell it
+    ## this is probably really bad practice, fix this
+    substituteInPlace bitsandbytes/cuda_setup/main.py \
+      --replace "libcuda.so" "${nvidia_x11}/lib/libcuda.so"
+  '';
+
+  propagatedBuildInputs = [
+    (pytorch.override({ inherit cudaSupport;}))
+    setuptools
+  ] ++ lib.optionals cudaSupport [
+    typer
+    cudatoolkit
+    cudatoolkit.lib
+    nvidia_x11
+  ];
+
+  nativeBuildInputs = lib.optionals cudaSupport [
+    gcc
+    addOpenGLRunpath
+  ];
+
+  preFixup = lib.optionalString cudaSupport ''
+    find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib
+    do
+      addOpenGLRunpath "$lib"
+      patchelf \
+        --set-rpath "${libraryPath}" \
+        "$lib"
+    done
+  '';
+
+  checkInputs = [
+    pytest
+  ];
+
+  # disabled because the test suite cannot find any GPUs in the nix sandbox
+  doCheck = false;
+
+  pythonImportsCheck = [
+    "torch"
+    # this tries to load and verify the cuda device on import, since this runs
+    # in the nix sandbox it will fail with a bunch of errors, but curiously the
+    # build still succeeds...
+    "bitsandbytes"
+  ];
+}
+