python312Packages.jax-cuda12-pjrt: init at 0.4.38
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@@ -0,0 +1,111 @@
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{
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lib,
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stdenv,
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buildPythonPackage,
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fetchurl,
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autoAddDriverRunpath,
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autoPatchelfHook,
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pypaInstallHook,
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wheelUnpackHook,
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cudaPackages,
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python,
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jaxlib,
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}:
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let
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inherit (jaxlib) version;
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inherit (cudaPackages) cudaVersion;
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cudaLibPath = lib.makeLibraryPath (
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with cudaPackages;
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[
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(lib.getLib cuda_cudart) # libcudart.so
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(lib.getLib cuda_cupti) # libcupti.so
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(lib.getLib cudnn) # libcudnn.so
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(lib.getLib libcufft) # libcufft.so
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(lib.getLib libcusolver) # libcusolver.so
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(lib.getLib libcusparse) # libcusparse.so
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]
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);
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# Find new releases at https://storage.googleapis.com/jax-releases
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# When upgrading, you can get these hashes from prefetch.sh. See
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# https://github.com/google/jax/issues/12879 as to why this specific URL is the correct index.
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# upstream does not distribute jax-cuda12-pjrt 0.4.38 binaries for aarch64-linux
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srcs = {
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"x86_64-linux" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda12_plugin/jax_cuda12_pjrt-${version}-py3-none-manylinux2014_x86_64.whl";
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hash = "sha256-g75MWfvPMAd6YAhdmOfVncc4sckeDWKOSsF3n94VrCs=";
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};
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"aarch64-linux" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda12_plugin/jax_cuda12_pjrt-${version}-py3-none-manylinux2014_aarch64.whl";
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hash = "sha256-AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=";
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};
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};
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in
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buildPythonPackage {
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pname = "jax-cuda12-pjrt";
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inherit version;
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pyproject = false;
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src =
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srcs.${stdenv.hostPlatform.system}
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or (throw "jax-cuda12-pjrt: No src for ${stdenv.hostPlatform.system}");
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nativeBuildInputs = [
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autoAddDriverRunpath
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autoPatchelfHook
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pypaInstallHook
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wheelUnpackHook
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];
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# The following attributes (buildInputs, postInstall and preInstallCheck) are copied from jaxlib-0.4.28
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# but it does not recognize GPUs as of 2024-12-29
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# Dynamic link dependencies
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buildInputs = [ (lib.getLib stdenv.cc.cc) ];
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# jaxlib looks for ptxas at runtime, eg when running `jax.random.PRNGKey(0)`.
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# Linking into $out is the least bad solution. See
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# * https://github.com/NixOS/nixpkgs/pull/164176#discussion_r828801621
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# * https://github.com/NixOS/nixpkgs/pull/288829#discussion_r1493852211
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# for more info.
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postInstall = ''
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mkdir -p $out/${python.sitePackages}/jaxlib/cuda/bin
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ln -s ${lib.getExe' cudaPackages.cuda_nvcc "ptxas"} $out/${python.sitePackages}/jaxlib/cuda/bin/ptxas
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'';
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# jaxlib contains shared libraries that open other shared libraries via dlopen
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# and these implicit dependencies are not recognized by ldd or
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# autoPatchelfHook. That means we need to sneak them into rpath. This step
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# must be done after autoPatchelfHook and the automatic stripping of
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# artifacts. autoPatchelfHook runs in postFixup and auto-stripping runs in the
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# patchPhase.
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preInstallCheck = ''
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shopt -s globstar
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for file in $out/**/*.so; do
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echo $file
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patchelf --add-rpath "${cudaLibPath}" "$file"
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done
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'';
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# no tests
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doCheck = false;
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pythonImportsCheck = [ "jax_plugins.xla_cuda12" ];
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meta = {
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description = "JAX XLA PJRT Plugin for NVIDIA GPUs";
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homepage = "https://github.com/jax-ml/jax/tree/main/jax_plugins/cuda";
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sourceProvenance = [ lib.sourceTypes.binaryNativeCode ];
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [ natsukium ];
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platforms = lib.attrNames srcs;
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# see CUDA compatibility matrix
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# https://jax.readthedocs.io/en/latest/installation.html#pip-installation-nvidia-gpu-cuda-installed-locally-harder
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broken =
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!(lib.versionAtLeast cudaVersion "12.1")
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|| !(lib.versionAtLeast cudaPackages.cudnn.version "9.1")
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|| true;
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};
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}
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@@ -6560,6 +6560,8 @@ self: super: with self; {
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jax = callPackage ../development/python-modules/jax { };
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jax-cuda12-pjrt = callPackage ../development/python-modules/jax-cuda12-pjrt { };
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jax-jumpy = callPackage ../development/python-modules/jax-jumpy { };
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jaxlib-bin = callPackage ../development/python-modules/jaxlib/bin.nix { };
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