depot/third_party/nixpkgs/pkgs/development/python-modules/tensorflow/default.nix
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GitOrigin-RevId: 062a0c5437b68f950b081bbfc8a699d57a4ee026
2022-03-05 17:20:37 +01:00

519 lines
16 KiB
Nix

{ stdenv, bazel_3, buildBazelPackage, isPy3k, lib, fetchFromGitHub, symlinkJoin
, addOpenGLRunpath, fetchpatch, patchelfUnstable
# Python deps
, buildPythonPackage, pythonOlder, python
# Python libraries
, numpy, tensorflow-tensorboard, absl-py
, setuptools, wheel, keras, keras-preprocessing, google-pasta
, opt-einsum, astunparse, h5py
, termcolor, grpcio, six, wrapt, protobuf-python, tensorflow-estimator
, dill, flatbuffers-python, tblib, typing-extensions
# Common deps
, git, pybind11, which, binutils, glibcLocales, cython, perl
# Common libraries
, jemalloc, mpi, gast, grpc, sqlite, boringssl, jsoncpp
, curl, snappy, flatbuffers-core, lmdb-core, icu, double-conversion, libpng, libjpeg_turbo, giflib, protobuf-core
# Upsteam by default includes cuda support since tensorflow 1.15. We could do
# that in nix as well. It would make some things easier and less confusing, but
# it would also make the default tensorflow package unfree. See
# https://groups.google.com/a/tensorflow.org/forum/#!topic/developers/iRCt5m4qUz0
, cudaSupport ? false, cudatoolkit ? null, cudnn ? null, nccl ? null
, mklSupport ? false, mkl ? null
, tensorboardSupport ? true
# XLA without CUDA is broken
, xlaSupport ? cudaSupport
# Default from ./configure script
, cudaCapabilities ? [ "sm_35" "sm_50" "sm_60" "sm_70" "sm_75" "compute_80" ]
, sse42Support ? stdenv.hostPlatform.sse4_2Support
, avx2Support ? stdenv.hostPlatform.avx2Support
, fmaSupport ? stdenv.hostPlatform.fmaSupport
# Darwin deps
, Foundation, Security, cctools, llvmPackages_11
}:
assert cudaSupport -> cudatoolkit != null
&& cudnn != null;
# unsupported combination
assert ! (stdenv.isDarwin && cudaSupport);
assert mklSupport -> mkl != null;
let
withTensorboard = (pythonOlder "3.6") || tensorboardSupport;
cudatoolkit_joined = symlinkJoin {
name = "${cudatoolkit.name}-merged";
paths = [
cudatoolkit.lib
cudatoolkit.out
] ++ lib.optionals (lib.versionOlder cudatoolkit.version "11") [
# for some reason some of the required libs are in the targets/x86_64-linux
# directory; not sure why but this works around it
"${cudatoolkit}/targets/${stdenv.system}"
];
};
cudatoolkit_cc_joined = symlinkJoin {
name = "${cudatoolkit.cc.name}-merged";
paths = [
cudatoolkit.cc
binutils.bintools # for ar, dwp, nm, objcopy, objdump, strip
];
};
# Needed for _some_ system libraries, grep INCLUDEDIR.
includes_joined = symlinkJoin {
name = "tensorflow-deps-merged";
paths = [
jsoncpp
];
};
tfFeature = x: if x then "1" else "0";
version = "2.7.1";
variant = if cudaSupport then "-gpu" else "";
pname = "tensorflow${variant}";
pythonEnv = python.withPackages (_:
[ # python deps needed during wheel build time (not runtime, see the buildPythonPackage part for that)
# This list can likely be shortened, but each trial takes multiple hours so won't bother for now.
absl-py
astunparse
dill
flatbuffers-python
gast
google-pasta
grpcio
h5py
keras-preprocessing
numpy
opt-einsum
protobuf-python
setuptools
six
tblib
tensorflow-estimator
tensorflow-tensorboard
termcolor
typing-extensions
wheel
wrapt
]);
rules_cc_darwin_patched = stdenv.mkDerivation {
name = "rules_cc-${pname}-${version}";
src = _bazel-build.deps;
prePatch = "pushd rules_cc";
patches = [
# https://github.com/bazelbuild/rules_cc/issues/122
(fetchpatch {
name = "tensorflow-rules_cc-libtool-path.patch";
url = "https://github.com/bazelbuild/rules_cc/commit/8c427ab30bf213630dc3bce9d2e9a0e29d1787db.diff";
sha256 = "sha256-C4v6HY5+jm0ACUZ58gBPVejCYCZfuzYKlHZ0m2qDHCk=";
})
# https://github.com/bazelbuild/rules_cc/pull/124
(fetchpatch {
name = "tensorflow-rules_cc-install_name_tool-path.patch";
url = "https://github.com/bazelbuild/rules_cc/commit/156497dc89100db8a3f57b23c63724759d431d05.diff";
sha256 = "sha256-NES1KeQmMiUJQVoV6dS4YGRxxkZEjOpFSCyOq9HZYO0=";
})
];
postPatch = "popd";
dontConfigure = true;
dontBuild = true;
installPhase = ''
runHook preInstall
mv rules_cc/ "$out"
runHook postInstall
'';
};
llvm-raw_darwin_patched = stdenv.mkDerivation {
name = "llvm-raw-${pname}-${version}";
src = _bazel-build.deps;
prePatch = "pushd llvm-raw";
patches = [
# Fix a vendored config.h that requires the 10.13 SDK
./llvm_bazel_fix_macos_10_12_sdk.patch
];
postPatch = ''
touch {BUILD,WORKSPACE}
popd
'';
dontConfigure = true;
dontBuild = true;
installPhase = ''
runHook preInstall
mv llvm-raw/ "$out"
runHook postInstall
'';
};
bazel-build = if stdenv.isDarwin then _bazel-build.overrideAttrs (prev: {
bazelBuildFlags = prev.bazelBuildFlags ++ [
"--override_repository=rules_cc=${rules_cc_darwin_patched}"
"--override_repository=llvm-raw=${llvm-raw_darwin_patched}"
];
preBuild = ''
export AR="${cctools}/bin/libtool"
'';
}) else _bazel-build;
_bazel-build = (buildBazelPackage.override (lib.optionalAttrs stdenv.isDarwin {
# clang 7 fails to emit a symbol for
# __ZN4llvm11SmallPtrSetIPKNS_10AllocaInstELj8EED1Ev in any of the
# translation units, so the build fails at link time
stdenv = llvmPackages_11.stdenv;
})) {
name = "${pname}-${version}";
bazel = bazel_3;
src = fetchFromGitHub {
owner = "tensorflow";
repo = "tensorflow";
rev = "v${version}";
sha256 = "1qwzbqq899swrwrwmm6z7mq9sc55gyh0r4ca0mcnchbvn7w0qbkh";
};
patches = [
# Patch the sources to compile with protobuf >= 3.16.
./system-protobuf.patch
];
# On update, it can be useful to steal the changes from gentoo
# https://gitweb.gentoo.org/repo/gentoo.git/tree/sci-libs/tensorflow
nativeBuildInputs = [
which pythonEnv cython perl protobuf-core
] ++ lib.optional cudaSupport addOpenGLRunpath;
buildInputs = [
jemalloc
mpi
glibcLocales
git
# libs taken from system through the TF_SYS_LIBS mechanism
grpc
sqlite
boringssl
jsoncpp
curl
pybind11
snappy
flatbuffers-core
icu
double-conversion
libpng
libjpeg_turbo
giflib
lmdb-core
] ++ lib.optionals cudaSupport [
cudatoolkit
cudnn
] ++ lib.optionals mklSupport [
mkl
] ++ lib.optionals stdenv.isDarwin [
Foundation
Security
];
# arbitrarily set to the current latest bazel version, overly careful
TF_IGNORE_MAX_BAZEL_VERSION = true;
# Take as many libraries from the system as possible. Keep in sync with
# list of valid syslibs in
# https://github.com/tensorflow/tensorflow/blob/master/third_party/systemlibs/syslibs_configure.bzl
TF_SYSTEM_LIBS = lib.concatStringsSep "," [
"absl_py"
"astor_archive"
"astunparse_archive"
"boringssl"
# Not packaged in nixpkgs
# "com_github_googleapis_googleapis"
# "com_github_googlecloudplatform_google_cloud_cpp"
"com_github_grpc_grpc"
"com_google_protobuf"
# 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&)'
# "com_googlesource_code_re2"
"curl"
"cython"
"dill_archive"
"double_conversion"
"enum34_archive"
"flatbuffers"
"functools32_archive"
"gast_archive"
"gif"
"hwloc"
"icu"
"jsoncpp_git"
"libjpeg_turbo"
"lmdb"
"nasm"
# "nsync" # not packaged in nixpkgs
"opt_einsum_archive"
"org_sqlite"
"pasta"
"png"
"pybind11"
"six_archive"
"snappy"
"tblib_archive"
"termcolor_archive"
"typing_extensions_archive"
"wrapt"
"zlib"
];
INCLUDEDIR = "${includes_joined}/include";
# This is needed for the Nix-provided protobuf dependency to work,
# as otherwise the rule `link_proto_files` tries to create the links
# to `/usr/include/...` which results in build failures.
PROTOBUF_INCLUDE_PATH = "${protobuf-core}/include";
PYTHON_BIN_PATH = pythonEnv.interpreter;
TF_NEED_GCP = true;
TF_NEED_HDFS = true;
TF_ENABLE_XLA = tfFeature xlaSupport;
CC_OPT_FLAGS = " ";
# https://github.com/tensorflow/tensorflow/issues/14454
TF_NEED_MPI = tfFeature cudaSupport;
TF_NEED_CUDA = tfFeature cudaSupport;
TF_CUDA_PATHS = lib.optionalString cudaSupport "${cudatoolkit_joined},${cudnn},${nccl}";
GCC_HOST_COMPILER_PREFIX = lib.optionalString cudaSupport "${cudatoolkit_cc_joined}/bin";
GCC_HOST_COMPILER_PATH = lib.optionalString cudaSupport "${cudatoolkit_cc_joined}/bin/gcc";
TF_CUDA_COMPUTE_CAPABILITIES = lib.concatStringsSep "," cudaCapabilities;
postPatch = ''
# bazel 3.3 should work just as well as bazel 3.1
rm -f .bazelversion
'' + lib.optionalString (!withTensorboard) ''
# Tensorboard pulls in a bunch of dependencies, some of which may
# include security vulnerabilities. So we make it optional.
# https://github.com/tensorflow/tensorflow/issues/20280#issuecomment-400230560
sed -i '/tensorboard ~=/d' tensorflow/tools/pip_package/setup.py
'';
# https://github.com/tensorflow/tensorflow/pull/39470
NIX_CFLAGS_COMPILE = [ "-Wno-stringop-truncation" ];
preConfigure = let
opt_flags = []
++ lib.optionals sse42Support ["-msse4.2"]
++ lib.optionals avx2Support ["-mavx2"]
++ lib.optionals fmaSupport ["-mfma"];
in ''
patchShebangs configure
# dummy ldconfig
mkdir dummy-ldconfig
echo "#!${stdenv.shell}" > dummy-ldconfig/ldconfig
chmod +x dummy-ldconfig/ldconfig
export PATH="$PWD/dummy-ldconfig:$PATH"
export PYTHON_LIB_PATH="$NIX_BUILD_TOP/site-packages"
export CC_OPT_FLAGS="${lib.concatStringsSep " " opt_flags}"
mkdir -p "$PYTHON_LIB_PATH"
# To avoid mixing Python 2 and Python 3
unset PYTHONPATH
'';
configurePhase = ''
runHook preConfigure
./configure
runHook postConfigure
'';
hardeningDisable = [ "format" ];
bazelBuildFlags = [
"--config=opt" # optimize using the flags set in the configure phase
]
++ lib.optionals stdenv.cc.isClang [ "--cxxopt=-x" "--cxxopt=c++" "--host_cxxopt=-x" "--host_cxxopt=c++" ]
++ lib.optionals (mklSupport) [ "--config=mkl" ];
bazelTarget = "//tensorflow/tools/pip_package:build_pip_package //tensorflow/tools/lib_package:libtensorflow";
removeRulesCC = false;
# Without this Bazel complaints about sandbox violations.
dontAddBazelOpts = true;
fetchAttrs = {
# cudaSupport causes fetch of ncclArchive, resulting in different hashes
sha256 = if cudaSupport then
"sha256-+szc2mRoImwijzbj3nw6HmZp3DeRjjPRU5yC+5AEbkg="
else
if stdenv.isDarwin then
"sha256-+bwIzp6t7gRJPcI8B5oyuf9z0AjCAyggUR7x+vv5kFs="
else
"sha256-5yOYmeGpJq4Chi55H7iblxyRXVktgnePtpYTPvBs538=";
};
buildAttrs = {
outputs = [ "out" "python" ];
preBuild = ''
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; {
description = "Computation using data flow graphs for scalable machine learning";
homepage = "http://tensorflow.org";
license = licenses.asl20;
maintainers = with maintainers; [ jyp abbradar ];
platforms = with platforms; linux ++ darwin;
broken = !(xlaSupport -> cudaSupport);
} // lib.optionalAttrs stdenv.isDarwin {
timeout = 86400; # 24 hours
maxSilent = 14400; # 4h, double the default of 7200s
};
};
in buildPythonPackage {
inherit version pname;
disabled = !isPy3k;
src = bazel-build.python;
# Adjust dependency requirements:
# - Relax gast version requirement that doesn't match what we have packaged
# - 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 "s/'gast[^']*',/'gast',/" \
-e "/'libclang[^']*',/d" \
-e "/'keras[^']*',/d" \
-e "/'tensorflow-io-gcs-filesystem[^']*',/d"
'';
# Upstream has a pip hack that results in bin/tensorboard being in both tensorflow
# and the propagated input tensorflow-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
astunparse
dill
flatbuffers-python
gast
google-pasta
grpcio
h5py
keras-preprocessing
numpy
opt-einsum
protobuf-python
six
tblib
tensorflow-estimator
termcolor
typing-extensions
wrapt
] ++ lib.optionals withTensorboard [
tensorflow-tensorboard
];
# remove patchelfUnstable once patchelf 0.14 with https://github.com/NixOS/patchelf/pull/256 becomes the default
nativeBuildInputs = lib.optional cudaSupport [ addOpenGLRunpath patchelfUnstable ];
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)
checkInputs = [ keras ];
checkPhase = ''
${python.interpreter} <<EOF
# A simple "Hello world"
import tensorflow as tf
hello = tf.constant("Hello, world!")
tf.print(hello)
# Fit a simple model to random data
import numpy as np
np.random.seed(0)
tf.random.set_seed(0)
model = tf.keras.models.Sequential([
tf.keras.layers.Dense(1, activation="linear")
])
model.compile(optimizer="sgd", loss="mse")
x = np.random.uniform(size=(1,1))
y = np.random.uniform(size=(1,))
model.fit(x, y, epochs=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;
}