234 lines
8.7 KiB
Nix
234 lines
8.7 KiB
Nix
# For the moment we only support the CPU and GPU backends of jaxlib. The TPU
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# backend will require some additional work. Those wheels are located here:
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# https://storage.googleapis.com/jax-releases/libtpu_releases.html.
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# See `python3Packages.jax.passthru` for CUDA tests.
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{ absl-py
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, autoAddDriverRunpath
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, autoPatchelfHook
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, buildPythonPackage
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, config
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, fetchPypi
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, fetchurl
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, flatbuffers
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, jaxlib-build
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, lib
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, ml-dtypes
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, python
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, scipy
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, stdenv
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# Options:
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, cudaSupport ? config.cudaSupport
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, cudaPackagesGoogle
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}:
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let
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inherit (cudaPackagesGoogle) cudaVersion;
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version = "0.4.24";
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inherit (python) pythonVersion;
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cudaLibPath = lib.makeLibraryPath (with cudaPackagesGoogle; [
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cuda_cudart.lib # libcudart.so
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cuda_cupti.lib # libcupti.so
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cudnn.lib # libcudnn.so
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libcufft.lib # libcufft.so
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libcusolver.lib # libcusolver.so
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libcusparse.lib # libcusparse.so
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]);
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# As of 2023-06-06, google/jax upstream is no longer publishing CPU-only wheels to their GCS bucket. Instead the
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# official instructions recommend installing CPU-only versions via PyPI.
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cpuSrcs =
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let
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getSrcFromPypi = { platform, dist, hash }: fetchPypi {
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inherit version platform dist hash;
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pname = "jaxlib";
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format = "wheel";
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# See the `disabled` attr comment below.
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python = dist;
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abi = dist;
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};
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in
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{
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"3.9-x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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dist = "cp39";
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hash = "sha256-6P5ArMoLZiUkHUoQ/mJccbNj5/7el/op+Qo6cGQ33xE=";
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};
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"3.9-aarch64-darwin" = getSrcFromPypi {
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platform = "macosx_11_0_arm64";
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dist = "cp39";
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hash = "sha256-23JQZRwMLtt7sK/JlCBqqRyfTVIAVJFN2sL+nAkQgvU=";
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};
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"3.9-x86_64-darwin" = getSrcFromPypi {
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platform = "macosx_10_14_x86_64";
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dist = "cp39";
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hash = "sha256-OgMedn9GHGs5THZf3pkP3Aw/jJ0vL5qK1b+Lzf634Ik=";
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};
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"3.10-x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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dist = "cp310";
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hash = "sha256-/VwUIIa7mTs/wLz0ArsEfNrz2pGriVVT5GX9XRFRxfY=";
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};
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"3.10-aarch64-darwin" = getSrcFromPypi {
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platform = "macosx_11_0_arm64";
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dist = "cp310";
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hash = "sha256-LgICOyDGts840SQQJh+yOMobMASb62llvJjpGvhzrSw=";
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};
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"3.10-x86_64-darwin" = getSrcFromPypi {
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platform = "macosx_10_14_x86_64";
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dist = "cp310";
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hash = "sha256-vhyULw+zBpz1UEi2tqgBMQEzY9a6YBgEIg6A4PPh3bQ=";
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};
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"3.11-x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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dist = "cp311";
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hash = "sha256-VJO/VVwBFkOEtq4y/sLVgAV8Cung01JULiuT6W96E/8=";
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};
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"3.11-aarch64-darwin" = getSrcFromPypi {
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platform = "macosx_11_0_arm64";
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dist = "cp311";
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hash = "sha256-VtuwXxurpSp1KI8ty1bizs5cdy8GEBN2MgS227sOCmE=";
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};
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"3.11-x86_64-darwin" = getSrcFromPypi {
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platform = "macosx_10_14_x86_64";
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dist = "cp311";
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hash = "sha256-4Dj5dEGKb9hpg3HlVogNO1Gc9UibJhy1eym2mjivxAQ=";
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};
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"3.12-x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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dist = "cp312";
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hash = "sha256-TlrGVtb3NTLmhnILWPLJR+jISCZ5SUV4wxNFpSfkCBo=";
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};
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"3.12-aarch64-darwin" = getSrcFromPypi {
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platform = "macosx_11_0_arm64";
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dist = "cp312";
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hash = "sha256-FIwK5CGykQjteuWzLZnbtAggIxLQeGV96bXlZGEytN0=";
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};
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"3.12-x86_64-darwin" = getSrcFromPypi {
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platform = "macosx_10_14_x86_64";
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dist = "cp312";
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hash = "sha256-9/jw/wr6oUD9pOadVAaMRL086iVMUXwVgnUMcG1UNvE=";
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};
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};
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# Note that the prebuilt jaxlib binary requires specific version of CUDA to
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# work. The cuda12 jaxlib binaries only works with CUDA 12.2, and cuda11
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# jaxlib binaries only works with CUDA 11.8. This is why we need to find a
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# binary that matches the provided cudaVersion.
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gpuSrcVersionString = "cuda${cudaVersion}-${pythonVersion}";
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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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gpuSrcs = {
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"cuda12.2-3.9" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda12/jaxlib-${version}+cuda12.cudnn89-cp39-cp39-manylinux2014_x86_64.whl";
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hash = "sha256-xdJKLPtx+CIza2CrWKM3M0cZJzyNFVTTTsvlgh38bfM=";
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};
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"cuda12.2-3.10" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda12/jaxlib-${version}+cuda12.cudnn89-cp310-cp310-manylinux2014_x86_64.whl";
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hash = "sha256-QCjrOczD2mp+CDwVXBc0/4rJnAizeV62AK0Dpx9X6TE=";
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};
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"cuda12.2-3.11" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda12/jaxlib-${version}+cuda12.cudnn89-cp311-cp311-manylinux2014_x86_64.whl";
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hash = "sha256-Ipy3vk1yUplpNzECAFt63aOIhgEWgXG7hkoeTIk9bQQ=";
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};
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"cuda12.2-3.12" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda12/jaxlib-${version}+cuda12.cudnn89-cp312-cp312-manylinux2014_x86_64.whl";
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hash = "sha256-LSnZHaUga/8Z65iKXWBnZDk4yUpNykFTu3vukCchO6Q=";
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};
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"cuda11.8-3.9" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda11/jaxlib-${version}+cuda11.cudnn86-cp39-cp39-manylinux2014_x86_64.whl";
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hash = "sha256-UmyugL0VjlXkiD7fuDPWgW8XUpr/QaP5ggp6swoZTzU=";
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};
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"cuda11.8-3.10" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda11/jaxlib-${version}+cuda11.cudnn86-cp310-cp310-manylinux2014_x86_64.whl";
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hash = "sha256-luKULEiV1t/sO6eckDxddJTiOFa0dtJeDlrvp+WYmHk=";
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};
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"cuda11.8-3.11" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda11/jaxlib-${version}+cuda11.cudnn86-cp311-cp311-manylinux2014_x86_64.whl";
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hash = "sha256-4+uJ8Ij6mFGEmjFEgi3fLnSLZs+v18BRoOt7mZuqydw=";
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};
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"cuda11.8-3.12" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda11/jaxlib-${version}+cuda11.cudnn86-cp312-cp312-manylinux2014_x86_64.whl";
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hash = "sha256-bUDFb94Ar/65SzzR9RLIs/SL/HdjaPT1Su5whmjkS00=";
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};
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};
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in
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buildPythonPackage {
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pname = "jaxlib";
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inherit version;
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format = "wheel";
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disabled = !(pythonVersion == "3.9" || pythonVersion == "3.10" || pythonVersion == "3.11" || pythonVersion == "3.12");
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# See https://discourse.nixos.org/t/ofborg-does-not-respect-meta-platforms/27019/6.
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src =
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if !cudaSupport then
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(
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cpuSrcs."${pythonVersion}-${stdenv.hostPlatform.system}"
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or (throw "jaxlib-bin is not supported on ${stdenv.hostPlatform.system}")
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) else gpuSrcs."${gpuSrcVersionString}";
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# Prebuilt wheels are dynamically linked against things that nix can't find.
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# Run `autoPatchelfHook` to automagically fix them.
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nativeBuildInputs = lib.optionals stdenv.isLinux [ autoPatchelfHook ]
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++ lib.optionals cudaSupport [ autoAddDriverRunpath ];
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# Dynamic link dependencies
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buildInputs = [ stdenv.cc.cc.lib ];
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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 = lib.optional cudaSupport ''
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shopt -s globstar
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for file in $out/**/*.so; do
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patchelf --add-rpath "${cudaLibPath}" "$file"
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done
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'';
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propagatedBuildInputs = [
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absl-py
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flatbuffers
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ml-dtypes
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scipy
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];
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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 = lib.optional cudaSupport ''
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mkdir -p $out/${python.sitePackages}/jaxlib/cuda/bin
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ln -s ${lib.getExe' cudaPackagesGoogle.cuda_nvcc "ptxas"} $out/${python.sitePackages}/jaxlib/cuda/bin/ptxas
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'';
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inherit (jaxlib-build) pythonImportsCheck;
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meta = with lib; {
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description = "XLA library for JAX";
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homepage = "https://github.com/google/jax";
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sourceProvenance = with sourceTypes; [ binaryNativeCode ];
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license = licenses.asl20;
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maintainers = with maintainers; [ samuela ];
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platforms = [ "aarch64-darwin" "x86_64-linux" "x86_64-darwin" ];
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broken =
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!(cudaSupport -> lib.versionAtLeast cudaVersion "11.1")
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|| !(cudaSupport -> lib.versionAtLeast cudaPackagesGoogle.cudnn.version "8.2")
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|| !(cudaSupport -> stdenv.isLinux)
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|| !(cudaSupport -> (gpuSrcs ? "cuda${cudaVersion}-${pythonVersion}"));
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};
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}
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