Nick Cao
GitHub
commit
2673bcc912
7 changed files with 173 additions and 103 deletions
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@ -10,9 +10,12 @@ args@{
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, bazelFlags ? []
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, bazelBuildFlags ? []
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, bazelTestFlags ? []
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, bazelRunFlags ? []
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, runTargetFlags ? []
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, bazelFetchFlags ? []
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, bazelTargets
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, bazelTargets ? []
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, bazelTestTargets ? []
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, bazelRunTarget ? null
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, buildAttrs
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, fetchAttrs
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@ -46,17 +49,23 @@ args@{
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let
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fArgs = removeAttrs args [ "buildAttrs" "fetchAttrs" "removeRulesCC" ] // {
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name = name;
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bazelFlags = bazelFlags;
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bazelBuildFlags = bazelBuildFlags;
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bazelTestFlags = bazelTestFlags;
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bazelFetchFlags = bazelFetchFlags;
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bazelTestTargets = bazelTestTargets;
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dontAddBazelOpts = dontAddBazelOpts;
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inherit
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name
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bazelFlags
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bazelBuildFlags
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bazelTestFlags
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bazelRunFlags
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runTargetFlags
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bazelFetchFlags
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bazelTargets
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bazelTestTargets
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bazelRunTarget
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dontAddBazelOpts
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;
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};
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fBuildAttrs = fArgs // buildAttrs;
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fFetchAttrs = fArgs // removeAttrs fetchAttrs [ "sha256" ];
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bazelCmd = { cmd, additionalFlags, targets }:
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bazelCmd = { cmd, additionalFlags, targets, targetRunFlags ? [ ] }:
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lib.optionalString (targets != [ ]) ''
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# See footnote called [USER and BAZEL_USE_CPP_ONLY_TOOLCHAIN variables]
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BAZEL_USE_CPP_ONLY_TOOLCHAIN=1 \
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@ -73,7 +82,8 @@ let
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"''${host_linkopts[@]}" \
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$bazelFlags \
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${lib.strings.concatStringsSep " " additionalFlags} \
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${lib.strings.concatStringsSep " " targets}
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${lib.strings.concatStringsSep " " targets} \
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${lib.optionalString (targetRunFlags != []) " -- " + lib.strings.concatStringsSep " " targetRunFlags}
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'';
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# we need this to chmod dangling symlinks on darwin, gnu coreutils refuses to do so:
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# chmod: cannot operate on dangling symlink '$symlink'
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@ -262,6 +272,15 @@ stdenv.mkDerivation (fBuildAttrs // {
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targets = fBuildAttrs.bazelTargets;
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}
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}
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${
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bazelCmd {
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cmd = "run";
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additionalFlags = fBuildAttrs.bazelRunFlags ++ [ "--jobs" "$NIX_BUILD_CORES" ];
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# Bazel run only accepts a single target, but `bazelCmd` expects `targets` to be a list.
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targets = lib.optionals (fBuildAttrs.bazelRunTarget != null) [ fBuildAttrs.bazelRunTarget ];
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targetRunFlags = fBuildAttrs.runTargetFlags;
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}
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}
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runHook postBuild
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'';
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})
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@ -8,6 +8,7 @@
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, jaxlib-bin
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, lapack
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, matplotlib
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, ml-dtypes
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, numpy
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, opt-einsum
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, pytestCheckHook
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@ -27,7 +28,7 @@ let
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in
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buildPythonPackage rec {
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pname = "jax";
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version = "0.4.5";
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version = "0.4.12";
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format = "setuptools";
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disabled = pythonOlder "3.7";
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@ -37,7 +38,7 @@ buildPythonPackage rec {
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repo = pname;
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# google/jax contains tags for jax and jaxlib. Only use jax tags!
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rev = "refs/tags/${pname}-v${version}";
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hash = "sha256-UJzX8zP3qaEUIV5hPJhiGiLJO7k8p962MHWxIHDY1ZA=";
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hash = "sha256-2JwEpzB5RwmBjGktppKhCpiaBM0AR20wfsRoQ33lh8Y=";
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};
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# jaxlib is _not_ included in propagatedBuildInputs because there are
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@ -46,6 +47,7 @@ buildPythonPackage rec {
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propagatedBuildInputs = [
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absl-py
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etils
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ml-dtypes
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numpy
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opt-einsum
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scipy
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@ -96,24 +98,12 @@ buildPythonPackage rec {
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"testScanGrad_jit_scan"
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];
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# See https://github.com/google/jax/issues/11722. This is a temporary fix in
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# order to unblock etils, and upgrading jax/jaxlib to the latest version. See
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# https://github.com/NixOS/nixpkgs/issues/183173#issuecomment-1204074993.
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disabledTestPaths = [
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"tests/api_test.py"
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"tests/core_test.py"
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"tests/lax_numpy_indexing_test.py"
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"tests/lax_numpy_test.py"
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"tests/nn_test.py"
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"tests/random_test.py"
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"tests/sparse_test.py"
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] ++ lib.optionals (stdenv.isDarwin && stdenv.isAarch64) [
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disabledTestPaths = lib.optionals (stdenv.isDarwin && stdenv.isAarch64) [
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# RuntimeWarning: invalid value encountered in cast
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"tests/lax_test.py"
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];
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# As of 0.3.22, `import jax` does not work without jaxlib being installed.
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pythonImportsCheck = [ ];
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pythonImportsCheck = [ "jax" ];
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meta = with lib; {
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description = "Differentiate, compile, and transform Numpy code";
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@ -18,11 +18,12 @@
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, autoPatchelfHook
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, buildPythonPackage
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, config
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, cudnn ? cudaPackages.cudnn
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, fetchPypi
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, fetchurl
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, flatbuffers
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, isPy39
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, jaxlib
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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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@ -35,46 +36,57 @@ let
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inherit (cudaPackages) cudatoolkit cudnn;
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in
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assert cudaSupport -> lib.versionAtLeast cudatoolkit.version "11.1";
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assert cudaSupport -> lib.versionAtLeast cudnn.version "8.2";
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assert cudaSupport -> lib.versionAtLeast cudatoolkit.version "11.1" && lib.versionAtLeast cudnn.version "8.2" && stdenv.isLinux;
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let
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version = "0.4.4";
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version = "0.4.12";
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inherit (python) pythonVersion;
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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, hash }: fetchPypi {
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inherit version platform 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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dist = "cp310";
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python = "cp310";
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abi = "cp310";
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};
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in
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{
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"x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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hash = "sha256-8ef5aMP7M3/FetSqfdz2OCaVCt6CLHRSMMsVtV2bCLc=";
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};
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"aarch64-darwin" = getSrcFromPypi {
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platform = "macosx_11_0_arm64";
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hash = "sha256-Opg/DB4wAVSm5L3+G470HiBPDoR/BO4qP0OX9HSbeSo=";
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};
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"x86_64-darwin" = getSrcFromPypi {
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platform = "macosx_10_14_x86_64";
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hash = "sha256-I4zX1vv4L5Ik9eWrJ8fKd0EIt5C9XTN4JlfB8hH+l5c=";
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};
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};
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pythonVersion = python.pythonVersion;
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# Find new releases at https://storage.googleapis.com/jax-releases/jax_releases.html.
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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
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# the correct index.
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cpuSrcs = {
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"x86_64-linux" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/nocuda/jaxlib-${version}-cp310-cp310-manylinux2014_x86_64.whl";
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hash = "sha256-4VT909AB+ti5HzQvsaZWNY6MS/GItlVEFH9qeZnUuKQ=";
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};
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"aarch64-darwin" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/mac/jaxlib-${version}-cp310-cp310-macosx_11_0_arm64.whl";
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hash = "sha256-wuOmoCeTldslSa0MommQeTe+RYKhUMam1ZXrgSov+8U=";
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};
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"x86_64-darwin" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/mac/jaxlib-${version}-cp310-cp310-macosx_10_14_x86_64.whl";
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hash = "sha256-arfiTw8yafJwjRwJhKby2O7y3+4ksh3PjaKW9JgJ1ok=";
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};
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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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gpuSrc = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda11/jaxlib-${version}+cuda11.cudnn86-cp310-cp310-manylinux2014_x86_64.whl";
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hash = "sha256-xc6Nje0WHtMC5nV75zvdN53xSuNTbFSsz1FzHKd8Muo=";
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};
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gpuSrc = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda11/jaxlib-${version}+cuda11.cudnn82-cp310-cp310-manylinux2014_x86_64.whl";
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hash = "sha256-bJ62DdzuPSV311ZI2R/LJQ3fOkDibtz2+8wDKw31FLk=";
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};
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in
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buildPythonPackage rec {
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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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# At the time of writing (2022-10-19), there are releases for <=3.10.
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# Supporting all of them is a pain, so we focus on 3.10, the current nixpkgs
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# python version.
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disabled = !(pythonVersion == "3.10");
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# See https://discourse.nixos.org/t/ofborg-does-not-respect-meta-platforms/27019/6.
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@ -87,9 +99,10 @@ buildPythonPackage rec {
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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 cudaSupport [ autoPatchelfHook addOpenGLRunpath ];
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nativeBuildInputs = lib.optionals stdenv.isLinux [ autoPatchelfHook ]
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++ lib.optionals cudaSupport [ addOpenGLRunpath ];
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# Dynamic link dependencies
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buildInputs = [ stdenv.cc.cc ];
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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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@ -113,7 +126,12 @@ buildPythonPackage rec {
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done
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'';
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propagatedBuildInputs = [ absl-py flatbuffers scipy ];
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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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# Note that cudatoolkit is snecessary since jaxlib looks for "ptxas" in $PATH.
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# See https://github.com/NixOS/nixpkgs/pull/164176#discussion_r828801621 for
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@ -123,7 +141,7 @@ buildPythonPackage rec {
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ln -s ${cudatoolkit}/bin/ptxas $out/bin/ptxas
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'';
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pythonImportsCheck = [ "jaxlib" ];
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inherit (jaxlib) pythonImportsCheck;
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meta = with lib; {
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description = "XLA library for JAX";
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|
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@ -4,7 +4,7 @@
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# Build-time dependencies:
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, addOpenGLRunpath
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, bazel_5
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, bazel_6
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, binutils
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, buildBazelPackage
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, buildPythonPackage
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@ -26,6 +26,7 @@
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# Python dependencies:
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, absl-py
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, flatbuffers
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, ml-dtypes
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, numpy
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, scipy
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, six
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@ -35,7 +36,6 @@
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, giflib
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, grpc
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, libjpeg_turbo
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, protobuf
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, python
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, snappy
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, zlib
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@ -53,7 +53,7 @@ let
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inherit (cudaPackages) backendStdenv cudatoolkit cudaFlags cudnn nccl;
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pname = "jaxlib";
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version = "0.4.4";
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version = "0.4.12";
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meta = with lib; {
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description = "JAX is Autograd and XLA, brought together for high-performance machine learning research.";
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@ -138,14 +138,15 @@ let
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bazel-build = buildBazelPackage rec {
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name = "bazel-build-${pname}-${version}";
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bazel = bazel_5;
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# See https://github.com/google/jax/blob/main/.bazelversion for the latest.
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bazel = bazel_6;
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src = fetchFromGitHub {
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owner = "google";
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repo = "jax";
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# google/jax contains tags for jax and jaxlib. Only use jaxlib tags!
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rev = "refs/tags/${pname}-v${version}";
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hash = "sha256-DP68UwS9bg243iWU4MLHN0pwl8LaOcW3Sle1ZjsLOHo=";
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hash = "sha256-2JwEpzB5RwmBjGktppKhCpiaBM0AR20wfsRoQ33lh8Y=";
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};
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nativeBuildInputs = [
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@ -169,7 +170,7 @@ let
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numpy
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openssl
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pkgs.flatbuffers
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protobuf
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pkgs.protobuf
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pybind11
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scipy
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six
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@ -188,7 +189,8 @@ let
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rm -f .bazelversion
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'';
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bazelTargets = [ "//build:build_wheel" ];
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bazelRunTarget = "//build:build_wheel";
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runTargetFlags = [ "--output_path=$out" "--cpu=${arch}" ];
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removeRulesCC = false;
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@ -207,7 +209,11 @@ let
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build --action_env=PYENV_ROOT
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build --python_path="${python}/bin/python"
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build --distinct_host_configuration=false
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build --define PROTOBUF_INCLUDE_PATH="${protobuf}/include"
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build --define PROTOBUF_INCLUDE_PATH="${pkgs.protobuf}/include"
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'' + lib.optionalString (stdenv.targetPlatform.avxSupport && stdenv.targetPlatform.isUnix) ''
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build --config=avx_posix
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'' + lib.optionalString mklSupport ''
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build --config=mkl_open_source_only
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'' + lib.optionalString cudaSupport ''
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build --action_env CUDA_TOOLKIT_PATH="${cudatoolkit_joined}"
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build --action_env CUDNN_INSTALL_PATH="${cudnn}"
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@ -234,7 +240,7 @@ let
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fetchAttrs = {
|
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TF_SYSTEM_LIBS = lib.concatStringsSep "," tf_system_libs;
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# we have to force @mkl_dnn_v1 since it's not needed on darwin
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bazelTargets = bazelTargets ++ [ "@mkl_dnn_v1//:mkl_dnn" ];
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bazelTargets = [ bazelRunTarget "@mkl_dnn_v1//:mkl_dnn" ];
|
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bazelFlags = bazelFlags ++ [
|
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"--config=avx_posix"
|
||||
] ++ lib.optionals cudaSupport [
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|
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@ -249,9 +255,9 @@ let
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|
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sha256 =
|
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if cudaSupport then
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||||
"sha256-O6bM7Lc8eaFyO4Xzl5/hvBrbPioI+Yeqx9yNC97fvKk="
|
||||
"sha256-wpucplv03HQHZ2gWhVq4R798ouPH99T3X4hbu7IRxj4="
|
||||
else
|
||||
"sha256-gLMJfJSQIdGGY2Ivx4IgDWg0hc+mxzlqY11CUkSWcjI=";
|
||||
"sha256-v2tCFifMBJbqweZQ2rsw707Zxehu+B+YtxFk1iHdDgc=";
|
||||
};
|
||||
|
||||
buildAttrs = {
|
||||
|
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@ -261,25 +267,13 @@ let
|
|||
"nsync" # fails to build on darwin
|
||||
]);
|
||||
|
||||
bazelFlags = bazelFlags ++ lib.optionals (stdenv.targetPlatform.isx86_64 && stdenv.targetPlatform.isUnix) [
|
||||
"--config=avx_posix"
|
||||
] ++ lib.optionals cudaSupport [
|
||||
"--config=cuda"
|
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] ++ lib.optionals mklSupport [
|
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"--config=mkl_open_source_only"
|
||||
];
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# Note: we cannot do most of this patching at `patch` phase as the deps are not available yet.
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# 1) Fix pybind11 include paths.
|
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# 2) Link protobuf from nixpkgs (through TF_SYSTEM_LIBS when using gcc) to prevent crashes on
|
||||
# 1) Link protobuf from nixpkgs (through TF_SYSTEM_LIBS when using gcc) to prevent crashes on
|
||||
# loading multiple extensions in the same python program due to duplicate protobuf DBs.
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# 3) Patch python path in the compiler driver.
|
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preBuild = ''
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for src in ./jaxlib/*.{cc,h} ./jaxlib/cuda/*.{cc,h}; do
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sed -i 's@include/pybind11@pybind11@g' $src
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done
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'' + lib.optionalString cudaSupport ''
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# 2) Patch python path in the compiler driver.
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preBuild = lib.optionalString cudaSupport ''
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export NIX_LDFLAGS+=" -L${backendStdenv.nixpkgsCompatibleLibstdcxx}/lib"
|
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patchShebangs ../output/external/org_tensorflow/third_party/gpus/crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc.tpl
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patchShebangs ../output/external/xla/third_party/gpus/crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc.tpl
|
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'' + lib.optionalString stdenv.isDarwin ''
|
||||
# Framework search paths aren't added by bintools hook
|
||||
# https://github.com/NixOS/nixpkgs/pull/41914
|
||||
|
|
@ -289,16 +283,12 @@ let
|
|||
substituteInPlace ../output/external/rules_cc/cc/private/toolchain/unix_cc_configure.bzl \
|
||||
--replace "/usr/bin/libtool" "${cctools}/bin/libtool"
|
||||
'' + (if stdenv.cc.isGNU then ''
|
||||
sed -i 's@-lprotobuf@-l:libprotobuf.a@' ../output/external/org_tensorflow/third_party/systemlibs/protobuf.BUILD
|
||||
sed -i 's@-lprotoc@-l:libprotoc.a@' ../output/external/org_tensorflow/third_party/systemlibs/protobuf.BUILD
|
||||
sed -i 's@-lprotobuf@-l:libprotobuf.a@' ../output/external/xla/third_party/systemlibs/protobuf.BUILD
|
||||
sed -i 's@-lprotoc@-l:libprotoc.a@' ../output/external/xla/third_party/systemlibs/protobuf.BUILD
|
||||
'' else if stdenv.cc.isClang then ''
|
||||
sed -i 's@-lprotobuf@${protobuf}/lib/libprotobuf.a@' ../output/external/org_tensorflow/third_party/systemlibs/protobuf.BUILD
|
||||
sed -i 's@-lprotoc@${protobuf}/lib/libprotoc.a@' ../output/external/org_tensorflow/third_party/systemlibs/protobuf.BUILD
|
||||
sed -i 's@-lprotobuf@${pkgs.protobuf}/lib/libprotobuf.a@' ../output/external/xla/third_party/systemlibs/protobuf.BUILD
|
||||
sed -i 's@-lprotoc@${pkgs.protobuf}/lib/libprotoc.a@' ../output/external/xla/third_party/systemlibs/protobuf.BUILD
|
||||
'' else throw "Unsupported stdenv.cc: ${stdenv.cc}");
|
||||
|
||||
installPhase = ''
|
||||
./bazel-bin/build/build_wheel --output_path=$out --cpu=${arch}
|
||||
'';
|
||||
};
|
||||
|
||||
inherit meta;
|
||||
|
|
@ -345,13 +335,19 @@ buildPythonPackage {
|
|||
grpc
|
||||
jsoncpp
|
||||
libjpeg_turbo
|
||||
ml-dtypes
|
||||
numpy
|
||||
scipy
|
||||
six
|
||||
snappy
|
||||
];
|
||||
|
||||
pythonImportsCheck = [ "jaxlib" ];
|
||||
pythonImportsCheck = [
|
||||
"jaxlib"
|
||||
# `import jaxlib` loads surprisingly little. These imports are actually bugs that appeared in the 0.4.11 upgrade.
|
||||
"jaxlib.cpu_feature_guard"
|
||||
"jaxlib.xla_client"
|
||||
];
|
||||
|
||||
# Without it there are complaints about libcudart.so.11.0 not being found
|
||||
# because RPATH path entries added above are stripped.
|
||||
|
|
|
|||
|
|
@ -1,7 +1,15 @@
|
|||
version="$1"
|
||||
nix hash to-sri --type sha256 "$(nix-prefetch-url https://storage.googleapis.com/jax-releases/nocuda/jaxlib-${version}-cp39-none-manylinux2010_x86_64.whl)"
|
||||
nix hash to-sri --type sha256 "$(nix-prefetch-url https://storage.googleapis.com/jax-releases/nocuda/jaxlib-${version}-cp310-none-manylinux2010_x86_64.whl)"
|
||||
nix hash to-sri --type sha256 "$(nix-prefetch-url https://storage.googleapis.com/jax-releases/cuda11/jaxlib-${version}+cuda11.cudnn805-cp39-none-manylinux2010_x86_64.whl)"
|
||||
nix hash to-sri --type sha256 "$(nix-prefetch-url https://storage.googleapis.com/jax-releases/cuda11/jaxlib-${version}+cuda11.cudnn82-cp39-none-manylinux2010_x86_64.whl)"
|
||||
nix hash to-sri --type sha256 "$(nix-prefetch-url https://storage.googleapis.com/jax-releases/cuda11/jaxlib-${version}+cuda11.cudnn805-cp310-none-manylinux2010_x86_64.whl)"
|
||||
nix hash to-sri --type sha256 "$(nix-prefetch-url https://storage.googleapis.com/jax-releases/cuda11/jaxlib-${version}+cuda11.cudnn82-cp310-none-manylinux2010_x86_64.whl)"
|
||||
#!/usr/bin/env bash
|
||||
|
||||
prefetch () {
|
||||
expr="(import <nixpkgs> { system = \"$1\"; config.cudaSupport = $2; }).python3.pkgs.jaxlib-bin.src.url"
|
||||
url=$(NIX_PATH=.. nix-instantiate --eval -E "$expr" | jq -r)
|
||||
echo "$url"
|
||||
sha256=$(nix-prefetch-url "$url")
|
||||
nix hash to-sri --type sha256 "$sha256"
|
||||
echo
|
||||
}
|
||||
|
||||
prefetch "x86_64-linux" "false"
|
||||
prefetch "aarch64-darwin" "false"
|
||||
prefetch "x86_64-darwin" "false"
|
||||
prefetch "x86_64-linux" "true"
|
||||
|
|
|
|||
38
pkgs/development/python-modules/ml-dtypes/default.nix
Normal file
38
pkgs/development/python-modules/ml-dtypes/default.nix
Normal file
|
|
@ -0,0 +1,38 @@
|
|||
{ lib
|
||||
, buildPythonPackage
|
||||
, fetchFromGitHub
|
||||
, numpy
|
||||
, pybind11
|
||||
, pythonOlder
|
||||
}:
|
||||
|
||||
buildPythonPackage rec {
|
||||
pname = "ml-dtypes";
|
||||
version = "0.2.0";
|
||||
|
||||
disabled = pythonOlder "3.7";
|
||||
|
||||
src = fetchFromGitHub {
|
||||
owner = "jax-ml";
|
||||
repo = "ml_dtypes";
|
||||
rev = "refs/tags/v${version}";
|
||||
hash = "sha256-eqajWUwylIYsS8gzEaCZLLr+1+34LXWhfKBjuwsEhhI=";
|
||||
# Since this upstream patch (https://github.com/jax-ml/ml_dtypes/commit/1bfd097e794413b0d465fa34f2eff0f3828ff521),
|
||||
# the attempts to use the nixpkgs packaged eigen dependency have failed.
|
||||
# Hence, we rely on the bundled eigen library.
|
||||
fetchSubmodules = true;
|
||||
};
|
||||
|
||||
nativeBuildInputs = [ pybind11 ];
|
||||
|
||||
propagatedBuildInputs = [ numpy ];
|
||||
|
||||
pythonImportsCheck = [ "ml_dtypes" ];
|
||||
|
||||
meta = with lib; {
|
||||
description = "A stand-alone implementation of several NumPy dtype extensions used in machine learning libraries";
|
||||
homepage = "https://github.com/jax-ml/ml_dtypes";
|
||||
license = licenses.asl20;
|
||||
maintainers = with maintainers; [ GaetanLepage samuela ];
|
||||
};
|
||||
}
|
||||
|
|
@ -5310,7 +5310,6 @@ self: super: with self; {
|
|||
# Some platforms don't have `cudaSupport` defined, hence the need for 'or false'.
|
||||
inherit (pkgs.config) cudaSupport;
|
||||
IOKit = pkgs.darwin.apple_sdk_11_0.IOKit;
|
||||
protobuf = pkgs.protobuf3_20; # jaxlib-build 0.3.15 won't build with protobuf 3.21
|
||||
};
|
||||
|
||||
jaxlib = self.jaxlib-build;
|
||||
|
|
@ -6564,6 +6563,8 @@ self: super: with self; {
|
|||
|
||||
ml-collections = callPackage ../development/python-modules/ml-collections { };
|
||||
|
||||
ml-dtypes = callPackage ../development/python-modules/ml-dtypes { };
|
||||
|
||||
mlflow = callPackage ../development/python-modules/mlflow { };
|
||||
|
||||
mlrose = callPackage ../development/python-modules/mlrose { };
|
||||
|
|
|
|||
Loading…
Reference in a new issue