362 lines
12 KiB
Nix
362 lines
12 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_6
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, binutils
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, buildBazelPackage
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, buildPythonPackage
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, cctools
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, curl
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, cython
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, fetchFromGitHub
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, git
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, IOKit
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, jsoncpp
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, nsync
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, openssl
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, pybind11
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, setuptools
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, symlinkJoin
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, wheel
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, build
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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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, ml-dtypes
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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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, config
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# CUDA flags:
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, cudaSupport ? config.cudaSupport
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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) backendStdenv cudatoolkit cudaFlags cudnn nccl;
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pname = "jaxlib";
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version = "0.4.14";
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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 = platforms.unix;
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# aarch64-darwin is broken because of https://github.com/bazelbuild/rules_cc/pull/136
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# however even with that fix applied, it doesn't work for everyone:
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# https://github.com/NixOS/nixpkgs/pull/184395#issuecomment-1207287129
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broken = stdenv.isDarwin;
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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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backendStdenv.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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# 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 = [
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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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# ERROR: /build/output/external/bazel_tools/tools/proto/BUILD:25:6: no such target '@com_google_protobuf//:cc_toolchain':
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# target 'cc_toolchain' not declared in package '' defined by /build/output/external/com_google_protobuf/BUILD.bazel
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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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"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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"opt_einsum_archive"
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"org_sqlite"
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"pasta"
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"png"
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# ERROR: /build/output/external/pybind11/BUILD.bazel: no such target '@pybind11//:osx':
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# target 'osx' not declared in package '' defined by /build/output/external/pybind11/BUILD.bazel
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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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arch =
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# KeyError: ('Linux', 'arm64')
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if stdenv.targetPlatform.isLinux && stdenv.targetPlatform.linuxArch == "arm64" then "aarch64"
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else stdenv.targetPlatform.linuxArch;
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bazel-build = buildBazelPackage rec {
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name = "bazel-build-${pname}-${version}";
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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 = "sha256-0KnILQkahSiA1uuyT+kgy1XaCcZ3cpx1q114e2pecvg=";
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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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build
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which
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] ++ lib.optionals stdenv.isDarwin [
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cctools
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];
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buildInputs = [
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curl
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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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openssl
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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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] ++ lib.optionals stdenv.isDarwin [
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IOKit
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] ++ lib.optionals (!stdenv.isDarwin) [
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nsync
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];
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postPatch = ''
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rm -f .bazelversion
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'';
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bazelRunTarget = "//jaxlib/tools:build_wheel";
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runTargetFlags = [ "--output_path=$out" "--cpu=${arch}" ];
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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="${python}/bin/python"
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build --distinct_host_configuration=false
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build --define PROTOBUF_INCLUDE_PATH="${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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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="${lib.versions.major cudnn.version}"
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build:cuda --action_env TF_CUDA_COMPUTE_CAPABILITIES="${builtins.concatStringsSep "," cudaFlags.realArches}"
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'' + ''
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CFG
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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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bazelFlags = [
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"-c opt"
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] ++ lib.optionals stdenv.cc.isClang [
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# bazel depends on the compiler frontend automatically selecting these flags based on file
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# extension but our clang doesn't.
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# https://github.com/NixOS/nixpkgs/issues/150655
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"--cxxopt=-x" "--cxxopt=c++" "--host_cxxopt=-x" "--host_cxxopt=c++"
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];
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# We intentionally overfetch so we can share the fetch derivation across all the different configurations
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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 = [ bazelRunTarget "@mkl_dnn_v1//:mkl_dnn" ];
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bazelFlags = bazelFlags ++ [
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"--config=avx_posix"
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] ++ lib.optionals cudaSupport [
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# ideally we'd add this unconditionally too, but it doesn't work on darwin
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# we make this conditional on `cudaSupport` instead of the system, so that the hash for both
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# the cuda and the non-cuda deps can be computed on linux, since a lot of contributors don't
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# have access to darwin machines
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"--config=cuda"
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] ++ [
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"--config=mkl_open_source_only"
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];
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sha256 = (if cudaSupport then {
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x86_64-linux = "sha256-8QaXoZq6oITRsYn4RdLUXcKQv3PJ4Q3ItX9PkBwxGBI=";
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} else {
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x86_64-linux = "sha256-M/h5EZmyiV4QvzgKRjdz7V1LHENUJlc/ig1QAItnWVQ=";
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aarch64-linux = "sha256-edkYcdlvOLNGRSanch1fGCZwq8SFn3TzcUNt1LhzG/E=";
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}).${stdenv.system} or (throw "jaxlib: unsupported system: ${stdenv.system}");
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};
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buildAttrs = {
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outputs = [ "out" ];
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TF_SYSTEM_LIBS = lib.concatStringsSep "," (tf_system_libs ++ lib.optionals (!stdenv.isDarwin) [
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"nsync" # fails to build on darwin
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]);
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# Note: we cannot do most of this patching at `patch` phase as the deps are not available yet.
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# 1) Link protobuf from nixpkgs (through TF_SYSTEM_LIBS when using gcc) to prevent crashes on
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# loading multiple extensions in the same python program due to duplicate protobuf DBs.
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# 2) Patch python path in the compiler driver.
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preBuild = lib.optionalString cudaSupport ''
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export NIX_LDFLAGS+=" -L${backendStdenv.nixpkgsCompatibleLibstdcxx}/lib"
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patchShebangs ../output/external/xla/third_party/gpus/crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc.tpl
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'' + lib.optionalString stdenv.isDarwin ''
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# Framework search paths aren't added by bintools hook
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# https://github.com/NixOS/nixpkgs/pull/41914
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export NIX_LDFLAGS+=" -F${IOKit}/Library/Frameworks"
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substituteInPlace ../output/external/rules_cc/cc/private/toolchain/osx_cc_wrapper.sh.tpl \
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--replace "/usr/bin/install_name_tool" "${cctools}/bin/install_name_tool"
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substituteInPlace ../output/external/rules_cc/cc/private/toolchain/unix_cc_configure.bzl \
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--replace "/usr/bin/libtool" "${cctools}/bin/libtool"
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'' + (if stdenv.cc.isGNU then ''
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sed -i 's@-lprotobuf@-l:libprotobuf.a@' ../output/external/xla/third_party/systemlibs/protobuf.BUILD
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sed -i 's@-lprotoc@-l:libprotoc.a@' ../output/external/xla/third_party/systemlibs/protobuf.BUILD
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'' else if stdenv.cc.isClang then ''
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sed -i 's@-lprotobuf@${pkgs.protobuf}/lib/libprotobuf.a@' ../output/external/xla/third_party/systemlibs/protobuf.BUILD
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sed -i 's@-lprotoc@${pkgs.protobuf}/lib/libprotoc.a@' ../output/external/xla/third_party/systemlibs/protobuf.BUILD
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'' else throw "Unsupported stdenv.cc: ${stdenv.cc}");
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};
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inherit meta;
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};
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platformTag =
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if stdenv.targetPlatform.isLinux then
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"manylinux2014_${arch}"
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else if stdenv.system == "x86_64-darwin" then
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"macosx_10_9_${arch}"
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else if stdenv.system == "aarch64-darwin" then
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"macosx_11_0_${arch}"
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else throw "Unsupported target platform: ${stdenv.targetPlatform}";
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in
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buildPythonPackage {
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inherit meta pname version;
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format = "wheel";
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src =
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let cp = "cp${builtins.replaceStrings ["."] [""] python.pythonVersion}";
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in "${bazel-build}/jaxlib-${version}-${cp}-${cp}-${platformTag}.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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curl
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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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ml-dtypes
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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 = [
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"jaxlib"
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# `import jaxlib` loads surprisingly little. These imports are actually bugs that appeared in the 0.4.11 upgrade.
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"jaxlib.cpu_feature_guard"
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"jaxlib.xla_client"
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];
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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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