602 lines
20 KiB
Nix
602 lines
20 KiB
Nix
{ stdenv, bazel_5, buildBazelPackage, lib, fetchFromGitHub, symlinkJoin
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, addOpenGLRunpath, fetchpatch, fetchzip, linkFarm
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# Python deps
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, buildPythonPackage, pythonAtLeast, pythonOlder, python
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# Python libraries
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, numpy, tensorboard, abseil-cpp, absl-py
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, packaging, setuptools, wheel, keras-preprocessing, google-pasta
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, opt-einsum, astunparse, h5py
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, termcolor, grpcio, six, wrapt, protobuf-python, tensorflow-estimator-bin
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, dill, flatbuffers-python, portpicker, tblib, typing-extensions
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# Common deps
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, git, pybind11, which, binutils, glibcLocales, cython, perl
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# Common libraries
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, jemalloc, mpi, gast, grpc, sqlite, boringssl, jsoncpp, nsync
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, curl, snappy, flatbuffers-core, icu, double-conversion, libpng, libjpeg_turbo, giflib, protobuf-core
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# Upstream by default includes cuda support since tensorflow 1.15. We could do
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# that in nix as well. It would make some things easier and less confusing, but
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# it would also make the default tensorflow package unfree. See
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# https://groups.google.com/a/tensorflow.org/forum/#!topic/developers/iRCt5m4qUz0
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, config
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, cudaSupport ? config.cudaSupport
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, cudaPackages
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, cudaCapabilities ? cudaPackages.cudaFlags.cudaCapabilities
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, mklSupport ? false, mkl
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, tensorboardSupport ? true
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# XLA without CUDA is broken
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, xlaSupport ? cudaSupport
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, sse42Support ? stdenv.hostPlatform.sse4_2Support
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, avx2Support ? stdenv.hostPlatform.avx2Support
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, fmaSupport ? stdenv.hostPlatform.fmaSupport
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# Darwin deps
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, Foundation, Security, cctools, llvmPackages
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}:
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let
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originalStdenv = stdenv;
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in
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let
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# Tensorflow looks at many toolchain-related variables which may diverge.
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#
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# Toolchain for cuda-enabled builds.
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# We want to achieve two things:
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# 1. NVCC should use a compatible back-end (e.g. gcc11 for cuda11)
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# 2. Normal C++ files should be compiled with the same toolchain,
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# to avoid potential weird dynamic linkage errors at runtime.
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# This may not be necessary though
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#
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# Toolchain for Darwin:
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# clang 7 fails to emit a symbol for
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# __ZN4llvm11SmallPtrSetIPKNS_10AllocaInstELj8EED1Ev in any of the
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# translation units, so the build fails at link time
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stdenv =
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if cudaSupport then cudaPackages.backendStdenv
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else if originalStdenv.isDarwin then llvmPackages.stdenv
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else originalStdenv;
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inherit (cudaPackages) cudatoolkit nccl;
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# use compatible cuDNN (https://www.tensorflow.org/install/source#gpu)
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# cudaPackages.cudnn led to this:
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# https://github.com/tensorflow/tensorflow/issues/60398
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cudnnAttribute = "cudnn_8_6";
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cudnn = cudaPackages.${cudnnAttribute};
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gentoo-patches = fetchzip {
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url = "https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-2.12.0.tar.bz2";
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hash = "sha256-SCRX/5/zML7LmKEPJkcM5Tebez9vv/gmE4xhT/jyqWs=";
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};
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protobuf-extra = linkFarm "protobuf-extra" [
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{ name = "include"; path = protobuf-core.src; }
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];
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withTensorboard = (pythonOlder "3.6") || tensorboardSupport;
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# FIXME: migrate to redist cudaPackages
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cudatoolkit_joined = symlinkJoin {
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name = "${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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# Tensorflow expects bintools at hard-coded paths, e.g. /usr/bin/ar
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# The only way to overcome that is to set GCC_HOST_COMPILER_PREFIX,
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# but that path must contain cc as well, so we merge them
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cudatoolkit_cc_joined = symlinkJoin {
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name = "${stdenv.cc.name}-merged";
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paths = [
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stdenv.cc
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binutils.bintools # for ar, dwp, nm, objcopy, objdump, strip
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];
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};
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# Needed for _some_ system libraries, grep INCLUDEDIR.
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includes_joined = symlinkJoin {
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name = "tensorflow-deps-merged";
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paths = [
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jsoncpp
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];
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};
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tfFeature = x: if x then "1" else "0";
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version = "2.13.0";
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format = "setuptools";
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variant = lib.optionalString cudaSupport "-gpu";
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pname = "tensorflow${variant}";
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pythonEnv = python.withPackages (_:
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[ # python deps needed during wheel build time (not runtime, see the buildPythonPackage part for that)
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# This list can likely be shortened, but each trial takes multiple hours so won't bother for now.
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absl-py
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astunparse
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dill
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flatbuffers-python
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gast
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google-pasta
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grpcio
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h5py
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keras-preprocessing
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numpy
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opt-einsum
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packaging
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protobuf-python
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setuptools
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six
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tblib
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tensorboard
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tensorflow-estimator-bin
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termcolor
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typing-extensions
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wheel
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wrapt
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]);
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rules_cc_darwin_patched = stdenv.mkDerivation {
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name = "rules_cc-${pname}-${version}";
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src = _bazel-build.deps;
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prePatch = "pushd rules_cc";
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patches = [
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# https://github.com/bazelbuild/rules_cc/issues/122
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(fetchpatch {
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name = "tensorflow-rules_cc-libtool-path.patch";
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url = "https://github.com/bazelbuild/rules_cc/commit/8c427ab30bf213630dc3bce9d2e9a0e29d1787db.diff";
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hash = "sha256-C4v6HY5+jm0ACUZ58gBPVejCYCZfuzYKlHZ0m2qDHCk=";
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})
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# https://github.com/bazelbuild/rules_cc/pull/124
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(fetchpatch {
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name = "tensorflow-rules_cc-install_name_tool-path.patch";
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url = "https://github.com/bazelbuild/rules_cc/commit/156497dc89100db8a3f57b23c63724759d431d05.diff";
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hash = "sha256-NES1KeQmMiUJQVoV6dS4YGRxxkZEjOpFSCyOq9HZYO0=";
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})
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];
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postPatch = "popd";
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dontConfigure = true;
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dontBuild = true;
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installPhase = ''
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runHook preInstall
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mv rules_cc/ "$out"
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runHook postInstall
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'';
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};
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llvm-raw_darwin_patched = stdenv.mkDerivation {
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name = "llvm-raw-${pname}-${version}";
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src = _bazel-build.deps;
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prePatch = "pushd llvm-raw";
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patches = [
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# Fix a vendored config.h that requires the 10.13 SDK
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./llvm_bazel_fix_macos_10_12_sdk.patch
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];
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postPatch = ''
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touch {BUILD,WORKSPACE}
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popd
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'';
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dontConfigure = true;
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dontBuild = true;
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installPhase = ''
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runHook preInstall
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mv llvm-raw/ "$out"
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runHook postInstall
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'';
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};
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bazel-build = if stdenv.isDarwin then _bazel-build.overrideAttrs (prev: {
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bazelFlags = prev.bazelFlags ++ [
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"--override_repository=rules_cc=${rules_cc_darwin_patched}"
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"--override_repository=llvm-raw=${llvm-raw_darwin_patched}"
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];
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preBuild = ''
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export AR="${cctools}/bin/libtool"
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'';
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}) else _bazel-build;
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_bazel-build = buildBazelPackage.override { inherit stdenv; } {
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name = "${pname}-${version}";
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bazel = bazel_5;
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src = fetchFromGitHub {
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owner = "tensorflow";
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repo = "tensorflow";
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rev = "refs/tags/v${version}";
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hash = "sha256-Rq5pAVmxlWBVnph20fkAwbfy+iuBNlfFy14poDPd5h0=";
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};
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# On update, it can be useful to steal the changes from gentoo
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# https://gitweb.gentoo.org/repo/gentoo.git/tree/sci-libs/tensorflow
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nativeBuildInputs = [
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which pythonEnv cython perl protobuf-core protobuf-extra
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] ++ lib.optional cudaSupport addOpenGLRunpath;
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buildInputs = [
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jemalloc
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mpi
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glibcLocales
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git
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# libs taken from system through the TF_SYS_LIBS mechanism
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abseil-cpp
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boringssl
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curl
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double-conversion
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flatbuffers-core
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giflib
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grpc
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# Necessary to fix the "`GLIBCXX_3.4.30' not found" error
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(icu.override { inherit stdenv; })
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jsoncpp
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libjpeg_turbo
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libpng
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(pybind11.overridePythonAttrs (_: { inherit stdenv; }))
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snappy
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sqlite
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] ++ lib.optionals cudaSupport [
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cudatoolkit
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cudnn
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] ++ lib.optionals mklSupport [
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mkl
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] ++ lib.optionals stdenv.isDarwin [
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Foundation
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Security
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] ++ lib.optionals (!stdenv.isDarwin) [
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nsync
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];
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# arbitrarily set to the current latest bazel version, overly careful
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TF_IGNORE_MAX_BAZEL_VERSION = true;
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LIBTOOL = lib.optionalString stdenv.isDarwin "${cctools}/bin/libtool";
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# Take as many libraries from the system as possible. Keep in sync with
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# list of valid syslibs in
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# https://github.com/tensorflow/tensorflow/blob/master/third_party/systemlibs/syslibs_configure.bzl
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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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"com_google_absl"
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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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"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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"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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"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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] ++ lib.optionals (!stdenv.isDarwin) [
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"nsync" # fails to build on darwin
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]);
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INCLUDEDIR = "${includes_joined}/include";
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# This is needed for the Nix-provided protobuf dependency to work,
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# as otherwise the rule `link_proto_files` tries to create the links
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# to `/usr/include/...` which results in build failures.
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PROTOBUF_INCLUDE_PATH = "${protobuf-core}/include";
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PYTHON_BIN_PATH = pythonEnv.interpreter;
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TF_NEED_GCP = true;
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TF_NEED_HDFS = true;
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TF_ENABLE_XLA = tfFeature xlaSupport;
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CC_OPT_FLAGS = " ";
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# https://github.com/tensorflow/tensorflow/issues/14454
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TF_NEED_MPI = tfFeature cudaSupport;
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TF_NEED_CUDA = tfFeature cudaSupport;
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TF_CUDA_PATHS = lib.optionalString cudaSupport "${cudatoolkit_joined},${cudnn},${nccl}";
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TF_CUDA_COMPUTE_CAPABILITIES = lib.concatStringsSep "," cudaCapabilities;
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# Needed even when we override stdenv: e.g. for ar
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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/cc";
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patches = [
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"${gentoo-patches}/0002-systemlib-Latest-absl-LTS-has-split-cord-libs.patch"
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"${gentoo-patches}/0005-systemlib-Updates-for-Abseil-20220623-LTS.patch"
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"${gentoo-patches}/0007-systemlibs-Add-well_known_types_py_pb2-target.patch"
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# https://github.com/conda-forge/tensorflow-feedstock/pull/329/commits/0a63c5a962451b4da99a9948323d8b3ed462f461
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(fetchpatch {
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name = "fix-layout-proto-duplicate-loading.patch";
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url = "https://raw.githubusercontent.com/conda-forge/tensorflow-feedstock/0a63c5a962451b4da99a9948323d8b3ed462f461/recipe/patches/0001-Omit-linking-to-layout_proto_cc-if-protobuf-linkage-.patch";
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hash = "sha256-/7buV6DinKnrgfqbe7KKSh9rCebeQdXv2Uj+Xg/083w=";
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})
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./com_google_absl_add_log.patch
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./absl_py_argparse_flags.patch
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./protobuf_python.patch
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./pybind11_protobuf_python_runtime_dep.patch
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./pybind11_protobuf_newer_version.patch
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] ++ lib.optionals (stdenv.hostPlatform.system == "aarch64-darwin") [
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./absl_to_std.patch
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];
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postPatch = ''
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# bazel 3.3 should work just as well as bazel 3.1
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rm -f .bazelversion
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patchShebangs .
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'' + lib.optionalString (stdenv.hostPlatform.system == "x86_64-darwin") ''
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cat ${./com_google_absl_fix_macos.patch} >> third_party/absl/com_google_absl_fix_mac_and_nvcc_build.patch
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'' + lib.optionalString (!withTensorboard) ''
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# Tensorboard pulls in a bunch of dependencies, some of which may
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# include security vulnerabilities. So we make it optional.
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# https://github.com/tensorflow/tensorflow/issues/20280#issuecomment-400230560
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sed -i '/tensorboard ~=/d' tensorflow/tools/pip_package/setup.py
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'';
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# https://github.com/tensorflow/tensorflow/pull/39470
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env.NIX_CFLAGS_COMPILE = toString [ "-Wno-stringop-truncation" ];
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preConfigure = let
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opt_flags = []
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++ lib.optionals sse42Support ["-msse4.2"]
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++ lib.optionals avx2Support ["-mavx2"]
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++ lib.optionals fmaSupport ["-mfma"];
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in ''
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patchShebangs configure
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# dummy ldconfig
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mkdir dummy-ldconfig
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echo "#!${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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export PYTHON_LIB_PATH="$NIX_BUILD_TOP/site-packages"
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export CC_OPT_FLAGS="${lib.concatStringsSep " " opt_flags}"
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mkdir -p "$PYTHON_LIB_PATH"
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# To avoid mixing Python 2 and Python 3
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unset PYTHONPATH
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'';
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configurePhase = ''
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runHook preConfigure
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./configure
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runHook postConfigure
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'';
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hardeningDisable = [ "format" ];
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bazelBuildFlags = [
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"--config=opt" # optimize using the flags set in the configure phase
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]
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++ lib.optionals stdenv.cc.isClang [
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"--cxxopt=-x" "--cxxopt=c++"
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"--host_cxxopt=-x" "--host_cxxopt=c++"
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# workaround for https://github.com/bazelbuild/bazel/issues/15359
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"--spawn_strategy=sandboxed"
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]
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++ lib.optionals (mklSupport) [ "--config=mkl" ];
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bazelTargets = [ "//tensorflow/tools/pip_package:build_pip_package //tensorflow/tools/lib_package:libtensorflow" ];
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removeRulesCC = false;
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# Without this Bazel complaints about sandbox violations.
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dontAddBazelOpts = true;
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fetchAttrs = {
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sha256 = {
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x86_64-linux = if cudaSupport
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then "sha256-5VFMNHeLrUxW5RTr6EhT3pay9nWJ5JkZTGirDds5QkU="
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else "sha256-KzgWV69Btr84FdwQ5JI2nQEsqiPg1/+TWdbw5bmxXOE=";
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aarch64-linux = if cudaSupport
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then "sha256-ty5+51BwHWE1xR4/0WcWTp608NzSAS/iiyN+9zx7/wI="
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else "sha256-9btXrNHqd720oXTPDhSmFidv5iaZRLjCVX8opmrMjXk=";
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x86_64-darwin = "sha256-gqb03kB0z2pZQ6m1fyRp1/Nbt8AVVHWpOJSeZNCLc4w=";
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aarch64-darwin = "sha256-WdgAaFZU+ePwWkVBhLzjlNT7ELfGHOTaMdafcAMD5yo=";
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}.${stdenv.hostPlatform.system} or (throw "unsupported system ${stdenv.hostPlatform.system}");
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};
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buildAttrs = {
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outputs = [ "out" "python" ];
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# need to rebuild schemas since we use a different flatbuffers version
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preBuild = ''
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(cd tensorflow/lite/schema;${flatbuffers-core}/bin/flatc --gen-object-api -c schema.fbs)
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(cd tensorflow/lite/schema;${flatbuffers-core}/bin/flatc --gen-object-api -c conversion_metadata.fbs)
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(cd tensorflow/lite/acceleration/configuration;${flatbuffers-core}/bin/flatc -o configuration.fbs --proto configuration.proto)
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sed -i s,tflite.proto,tflite,g tensorflow/lite/acceleration/configuration/configuration.fbs/configuration.fbs
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(cd tensorflow/lite/acceleration/configuration;${flatbuffers-core}/bin/flatc --gen-compare --gen-object-api -c configuration.fbs/configuration.fbs)
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cp -r tensorflow/lite/acceleration/configuration/configuration.fbs tensorflow/lite/experimental/acceleration/configuration
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(cd tensorflow/lite/experimental/acceleration/configuration;${flatbuffers-core}/bin/flatc -c configuration.fbs/configuration.fbs)
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|
(cd tensorflow/lite/delegates/gpu/cl;${flatbuffers-core}/bin/flatc -c compiled_program_cache.fbs)
|
|
(cd tensorflow/lite/delegates/gpu/cl;${flatbuffers-core}/bin/flatc -I $NIX_BUILD_TOP/source -c serialization.fbs)
|
|
(cd tensorflow/lite/delegates/gpu/common;${flatbuffers-core}/bin/flatc -I $NIX_BUILD_TOP/source -c gpu_model.fbs)
|
|
(cd tensorflow/lite/delegates/gpu/common/task;${flatbuffers-core}/bin/flatc -c serialization_base.fbs)
|
|
patchShebangs .
|
|
'';
|
|
|
|
installPhase = ''
|
|
mkdir -p "$out"
|
|
tar -xf bazel-bin/tensorflow/tools/lib_package/libtensorflow.tar.gz -C "$out"
|
|
# Write pkgconfig file.
|
|
mkdir "$out/lib/pkgconfig"
|
|
cat > "$out/lib/pkgconfig/tensorflow.pc" << EOF
|
|
Name: TensorFlow
|
|
Version: ${version}
|
|
Description: Library for computation using data flow graphs for scalable machine learning
|
|
Requires:
|
|
Libs: -L$out/lib -ltensorflow
|
|
Cflags: -I$out/include/tensorflow
|
|
EOF
|
|
|
|
# build the source code, then copy it to $python (build_pip_package
|
|
# actually builds a symlink farm so we must dereference them).
|
|
bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "$PWD/dist"
|
|
cp -Lr "$PWD/dist" "$python"
|
|
'';
|
|
|
|
postFixup = lib.optionalString cudaSupport ''
|
|
find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
|
|
addOpenGLRunpath "$lib"
|
|
done
|
|
'';
|
|
|
|
requiredSystemFeatures = [
|
|
"big-parallel"
|
|
];
|
|
};
|
|
|
|
meta = with lib; {
|
|
badPlatforms = lib.optionals cudaSupport lib.platforms.darwin;
|
|
changelog = "https://github.com/tensorflow/tensorflow/releases/tag/v${version}";
|
|
description = "Computation using data flow graphs for scalable machine learning";
|
|
homepage = "http://tensorflow.org";
|
|
license = licenses.asl20;
|
|
maintainers = with maintainers; [ abbradar ];
|
|
platforms = with platforms; linux ++ darwin;
|
|
broken =
|
|
stdenv.isDarwin
|
|
|| !(xlaSupport -> cudaSupport)
|
|
|| !(cudaSupport -> builtins.hasAttr cudnnAttribute cudaPackages)
|
|
|| !(cudaSupport -> cudaPackages ? cudatoolkit);
|
|
} // lib.optionalAttrs stdenv.isDarwin {
|
|
timeout = 86400; # 24 hours
|
|
maxSilent = 14400; # 4h, double the default of 7200s
|
|
};
|
|
};
|
|
|
|
in buildPythonPackage {
|
|
inherit version pname;
|
|
disabled = pythonAtLeast "3.12";
|
|
|
|
src = bazel-build.python;
|
|
|
|
# Adjust dependency requirements:
|
|
# - Drop tensorflow-io dependency until we get it to build
|
|
# - Relax flatbuffers and gast version requirements
|
|
# - The purpose of python3Packages.libclang is not clear at the moment and we don't have it packaged yet
|
|
# - keras and tensorlow-io-gcs-filesystem will be considered as optional for now.
|
|
postPatch = ''
|
|
sed -i setup.py \
|
|
-e '/tensorflow-io-gcs-filesystem/,+1d' \
|
|
-e "s/'flatbuffers[^']*',/'flatbuffers',/" \
|
|
-e "s/'gast[^']*',/'gast',/" \
|
|
-e "/'libclang[^']*',/d" \
|
|
-e "/'keras[^']*')\?,/d" \
|
|
-e "/'tensorflow-io-gcs-filesystem[^']*',/d" \
|
|
-e "s/'protobuf[^']*',/'protobuf',/" \
|
|
'';
|
|
|
|
# Upstream has a pip hack that results in bin/tensorboard being in both tensorflow
|
|
# and the propagated input tensorboard, which causes environment collisions.
|
|
# Another possibility would be to have tensorboard only in the buildInputs
|
|
# https://github.com/tensorflow/tensorflow/blob/v1.7.1/tensorflow/tools/pip_package/setup.py#L79
|
|
postInstall = ''
|
|
rm $out/bin/tensorboard
|
|
'';
|
|
|
|
setupPyGlobalFlags = [ "--project_name ${pname}" ];
|
|
|
|
# tensorflow/tools/pip_package/setup.py
|
|
propagatedBuildInputs = [
|
|
absl-py
|
|
abseil-cpp
|
|
astunparse
|
|
flatbuffers-python
|
|
gast
|
|
google-pasta
|
|
grpcio
|
|
h5py
|
|
keras-preprocessing
|
|
numpy
|
|
opt-einsum
|
|
packaging
|
|
protobuf-python
|
|
six
|
|
tensorflow-estimator-bin
|
|
termcolor
|
|
typing-extensions
|
|
wrapt
|
|
] ++ lib.optionals withTensorboard [
|
|
tensorboard
|
|
];
|
|
|
|
nativeBuildInputs = lib.optionals cudaSupport [ addOpenGLRunpath ];
|
|
|
|
postFixup = lib.optionalString cudaSupport ''
|
|
find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
|
|
addOpenGLRunpath "$lib"
|
|
|
|
patchelf --set-rpath "${cudatoolkit}/lib:${cudatoolkit.lib}/lib:${cudnn}/lib:${nccl}/lib:$(patchelf --print-rpath "$lib")" "$lib"
|
|
done
|
|
'';
|
|
|
|
# Actual tests are slow and impure.
|
|
# TODO try to run them anyway
|
|
# TODO better test (files in tensorflow/tools/ci_build/builds/*test)
|
|
# TEST_PACKAGES in tensorflow/tools/pip_package/setup.py
|
|
nativeCheckInputs = [
|
|
dill
|
|
portpicker
|
|
tblib
|
|
];
|
|
checkPhase = ''
|
|
${python.interpreter} <<EOF
|
|
# A simple "Hello world"
|
|
import tensorflow as tf
|
|
hello = tf.constant("Hello, world!")
|
|
tf.print(hello)
|
|
|
|
tf.random.set_seed(0)
|
|
width = 512
|
|
choice = 48
|
|
t_in = tf.Variable(tf.random.uniform(shape=[width]))
|
|
with tf.GradientTape() as tape:
|
|
t_out = tf.slice(tf.nn.softmax(t_in), [choice], [1])
|
|
diff = tape.gradient(t_out, t_in)
|
|
assert(0 < tf.reduce_min(tf.slice(diff, [choice], [1])))
|
|
assert(0 > tf.reduce_max(tf.slice(diff, [1], [choice - 1])))
|
|
EOF
|
|
'';
|
|
# Regression test for #77626 removed because not more `tensorflow.contrib`.
|
|
|
|
passthru = {
|
|
deps = bazel-build.deps;
|
|
libtensorflow = bazel-build.out;
|
|
};
|
|
|
|
inherit (bazel-build) meta;
|
|
}
|