296 lines
8.3 KiB
Nix
296 lines
8.3 KiB
Nix
{ lib
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, pkgs
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, stdenv
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# Build-time dependencies:
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, addOpenGLRunpath
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, bazel_5
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, binutils
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, buildBazelPackage
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, buildPythonPackage
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, cython
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, fetchFromGitHub
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, git
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, jsoncpp
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, pybind11
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, setuptools
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, symlinkJoin
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, wheel
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, which
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# Python dependencies:
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, absl-py
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, flatbuffers
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, numpy
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, scipy
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, six
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# Runtime dependencies:
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, double-conversion
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, giflib
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, grpc
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, libjpeg_turbo
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, python
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, snappy
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, zlib
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# CUDA flags:
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, cudaCapabilities ? [ "sm_35" "sm_50" "sm_60" "sm_70" "sm_75" "compute_80" ]
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, cudaSupport ? false
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, cudaPackages ? {}
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# MKL:
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, mklSupport ? true
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}:
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let
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inherit (cudaPackages) cudatoolkit cudnn nccl;
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pname = "jaxlib";
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version = "0.3.0";
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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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homepage = "https://github.com/google/jax";
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license = licenses.asl20;
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maintainers = with maintainers; [ ndl ];
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platforms = [ "x86_64-linux" "aarch64-darwin" "x86_64-darwin"];
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hydraPlatforms = ["x86_64-linux" ]; # Don't think anybody is checking the darwin builds
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};
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cudatoolkit_joined = symlinkJoin {
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name = "${cudatoolkit.name}-merged";
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paths = [
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cudatoolkit.lib
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cudatoolkit.out
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] ++ lib.optionals (lib.versionOlder cudatoolkit.version "11") [
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# for some reason some of the required libs are in the targets/x86_64-linux
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# directory; not sure why but this works around it
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"${cudatoolkit}/targets/${stdenv.system}"
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];
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};
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cudatoolkit_cc_joined = symlinkJoin {
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name = "${cudatoolkit.cc.name}-merged";
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paths = [
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cudatoolkit.cc
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binutils.bintools # for ar, dwp, nm, objcopy, objdump, strip
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];
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};
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bazel-build = buildBazelPackage {
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name = "bazel-build-${pname}-${version}";
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bazel = bazel_5;
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src = fetchFromGitHub {
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owner = "google";
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repo = "jax";
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rev = "${pname}-v${version}";
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sha256 = "0ndpngx5k6lf6jqjck82bbp0gs943z0wh7vs9gwbyk2bw0da7w72";
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};
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nativeBuildInputs = [
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cython
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pkgs.flatbuffers
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git
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setuptools
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wheel
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which
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];
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buildInputs = [
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double-conversion
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giflib
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grpc
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jsoncpp
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libjpeg_turbo
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numpy
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pkgs.flatbuffers
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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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snappy
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zlib
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] ++ lib.optionals cudaSupport [
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cudatoolkit
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cudnn
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];
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postPatch = ''
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rm -f .bazelversion
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'';
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bazelTarget = "//build:build_wheel";
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removeRulesCC = false;
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GCC_HOST_COMPILER_PREFIX = lib.optionalString cudaSupport "${cudatoolkit_cc_joined}/bin";
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GCC_HOST_COMPILER_PATH = lib.optionalString cudaSupport "${cudatoolkit_cc_joined}/bin/gcc";
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preConfigure = ''
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# dummy ldconfig
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mkdir dummy-ldconfig
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echo "#!${stdenv.shell}" > dummy-ldconfig/ldconfig
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chmod +x dummy-ldconfig/ldconfig
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export PATH="$PWD/dummy-ldconfig:$PATH"
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cat <<CFG > ./.jax_configure.bazelrc
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build --strategy=Genrule=standalone
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build --repo_env PYTHON_BIN_PATH="${python}/bin/python"
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build --action_env=PYENV_ROOT
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build --python_path="${python}/bin/python"
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build --distinct_host_configuration=false
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'' + lib.optionalString cudaSupport ''
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build --action_env CUDA_TOOLKIT_PATH="${cudatoolkit_joined}"
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build --action_env CUDNN_INSTALL_PATH="${cudnn}"
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build --action_env TF_CUDA_PATHS="${cudatoolkit_joined},${cudnn},${nccl}"
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build --action_env TF_CUDA_VERSION="${lib.versions.majorMinor cudatoolkit.version}"
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build --action_env TF_CUDNN_VERSION="${lib.versions.major cudnn.version}"
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build:cuda --action_env TF_CUDA_COMPUTE_CAPABILITIES="${lib.concatStringsSep "," cudaCapabilities}"
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'' + ''
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CFG
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'';
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# Copy-paste from TF derivation.
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# Most of these are not really used in jaxlib compilation but it's simpler to keep it
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# 'as is' so that it's more compatible with TF derivation.
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TF_SYSTEM_LIBS = lib.concatStringsSep "," [
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"absl_py"
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"astor_archive"
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"astunparse_archive"
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"boringssl"
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# Not packaged in nixpkgs
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# "com_github_googleapis_googleapis"
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# "com_github_googlecloudplatform_google_cloud_cpp"
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"com_github_grpc_grpc"
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"com_google_protobuf"
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# Fails with the error: external/org_tensorflow/tensorflow/core/profiler/utils/tf_op_utils.cc:46:49: error: no matching function for call to 're2::RE2::FullMatch(absl::lts_2020_02_25::string_view&, re2::RE2&)'
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# "com_googlesource_code_re2"
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"curl"
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"cython"
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"dill_archive"
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"double_conversion"
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"enum34_archive"
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"flatbuffers"
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"functools32_archive"
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"gast_archive"
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"gif"
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"hwloc"
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"icu"
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"jsoncpp_git"
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"libjpeg_turbo"
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"lmdb"
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"nasm"
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# "nsync" # not packaged in nixpkgs
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"opt_einsum_archive"
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"org_sqlite"
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"pasta"
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"pcre"
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"png"
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"pybind11"
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"six_archive"
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"snappy"
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"tblib_archive"
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"termcolor_archive"
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"typing_extensions_archive"
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"wrapt"
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"zlib"
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];
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# Make sure Bazel knows about our configuration flags during fetching so that the
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# relevant dependencies can be downloaded.
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bazelFetchFlags = bazel-build.bazelBuildFlags;
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bazelBuildFlags = [
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"-c opt"
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] ++ lib.optional (stdenv.targetPlatform.isx86_64 && stdenv.targetPlatform.isUnix) [
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"--config=avx_posix"
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] ++ lib.optional cudaSupport [
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"--config=cuda"
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] ++ lib.optional mklSupport [
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"--config=mkl_open_source_only"
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];
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fetchAttrs = {
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sha256 =
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if cudaSupport then
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"0d2rqwk9n4a6c51m4g21rxymv85kw2sdksni30cdx3pdcdbqgic7"
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else
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"0q540mwmh7grig0qq48ynzqi0gynimxnrq7k97wribqpkx99k39d";
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};
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buildAttrs = {
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outputs = [ "out" ];
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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) Force static protobuf linkage to prevent crashes on loading multiple extensions
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# 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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# 4) Patch tensorflow sources to work with later versions of protobuf. See
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# https://github.com/google/jax/issues/9534. Note that this should be
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# removed on the next release after 0.3.0.
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preBuild = ''
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for src in ./jaxlib/*.{cc,h}; do
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sed -i 's@include/pybind11@pybind11@g' $src
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done
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sed -i 's@-lprotobuf@-l:libprotobuf.a@' ../output/external/org_tensorflow/third_party/systemlibs/protobuf.BUILD
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sed -i 's@-lprotoc@-l:libprotoc.a@' ../output/external/org_tensorflow/third_party/systemlibs/protobuf.BUILD
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substituteInPlace ../output/external/org_tensorflow/tensorflow/compiler/xla/python/pprof_profile_builder.cc \
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--replace "status.message()" "std::string{status.message()}"
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'' + lib.optionalString cudaSupport ''
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patchShebangs ../output/external/org_tensorflow/third_party/gpus/crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc.tpl
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'';
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installPhase = ''
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./bazel-bin/build/build_wheel --output_path=$out --cpu=${stdenv.targetPlatform.linuxArch}
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'';
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};
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inherit meta;
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};
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in
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buildPythonPackage {
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inherit meta pname version;
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format = "wheel";
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src = "${bazel-build}/jaxlib-${version}-cp${builtins.replaceStrings ["."] [""] python.pythonVersion}-none-manylinux2010_${stdenv.targetPlatform.linuxArch}.whl";
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# Note that cudatoolkit is necessary 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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# more info.
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postInstall = lib.optionalString cudaSupport ''
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mkdir -p $out/bin
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ln -s ${cudatoolkit}/bin/ptxas $out/bin/ptxas
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find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
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addOpenGLRunpath "$lib"
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patchelf --set-rpath "${cudatoolkit}/lib:${cudatoolkit.lib}/lib:${cudnn}/lib:${nccl}/lib:$(patchelf --print-rpath "$lib")" "$lib"
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done
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'';
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nativeBuildInputs = lib.optional cudaSupport addOpenGLRunpath;
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propagatedBuildInputs = [
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absl-py
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double-conversion
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flatbuffers
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giflib
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grpc
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jsoncpp
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libjpeg_turbo
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numpy
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scipy
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six
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snappy
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];
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pythonImportsCheck = [ "jaxlib" ];
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# Without it there are complaints about libcudart.so.11.0 not being found
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# because RPATH path entries added above are stripped.
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dontPatchELF = cudaSupport;
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}
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