tensorflow: re-enable build from source [WIP]
This commit is contained in:
Timo Kaufmann
Nikolay Amiantov
parent
05df9cec11
commit
3df4e2df95
@ -1,9 +1,42 @@
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{ stdenv, buildBazelPackage, lib, fetchFromGitHub, fetchpatch, symlinkJoin
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, git
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, buildPythonPackage, isPy3k, pythonOlder, pythonAtLeast
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, which, swig, binutils, glibcLocales
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, which, binutils, glibcLocales
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, python, jemalloc, openmpi
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, numpy, six, protobuf, tensorflow-tensorboard, backports_weakref, mock, enum34, absl-py
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, cudaSupport ? false, nvidia_x11 ? null, cudatoolkit ? null, cudnn ? null
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, numpy, tensorflow-tensorboard, backports_weakref, mock, enum34, absl-py
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, future
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, keras-preprocessing
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, keras-applications
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, astor
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, gast
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, google-pasta
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, termcolor
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, cython
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, flatbuffers
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, giflib
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, libjpeg
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, grpc
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, grpcio
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, hwloc
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, icu
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, jsoncpp
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, lmdb
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, nasm
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, sqlite
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, pcre
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, libpng
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, six
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, snappy
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, swig
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, wrapt
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, zlib
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, protobuf
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, protobuf_cc
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, curl
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, tensorflow-estimator
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, setuptools
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, wheel
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, cudaSupport ? false, nvidia_x11 ? null, cudatoolkit ? null, cudnn ? null, nccl ? null
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# XLA without CUDA is broken
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, xlaSupport ? cudaSupport
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# Default from ./configure script
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@ -21,7 +54,6 @@ assert cudaSupport -> nvidia_x11 != null
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assert ! (stdenv.isDarwin && cudaSupport);
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let
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withTensorboard = pythonOlder "3.6";
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cudatoolkit_joined = symlinkJoin {
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@ -29,40 +61,147 @@ let
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paths = [ cudatoolkit.out cudatoolkit.lib ];
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};
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bazel_cuda_toolkit = symlinkJoin {
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name = "bazel-gcc-toolkit";
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paths = [
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cudatoolkit.cc
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cudatoolkit.out
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cudatoolkit.lib
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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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tfFeature = x: if x then "1" else "0";
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version = "1.5.0";
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version = "1.14";
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variant = if cudaSupport then "_gpu" else "";
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pname = "tensorflow${variant}";
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pkg = buildBazelPackage rec {
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name = "tensorflow-build-${version}";
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bazel-wheel = buildBazelPackage rec {
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# indicate which configuration of the wheel is being built
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name = let
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python_tag = with lib.versions; "cp${major python.version}${minor python.version}"; # cp37
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arch_platform = lib.splitString "-" stdenv.hostPlatform.system;
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platform = lib.last arch_platform; # "linux"
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arch = lib.head arch_platform; # "x86_64"
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in
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# https://www.python.org/dev/peps/pep-0427/#file-name-convention
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# tensorflow_gpu-1.14.0-cp27-none-linux_x86_64.whl
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"${pname}-${version}-${python_tag}-none-${platform}_${arch}.whl";
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src = fetchFromGitHub {
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owner = "tensorflow";
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repo = "tensorflow";
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rev = "v${version}";
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sha256 = "1c4djsaip901nasm7a6dsimr02bsv70a7b1g0kysb4n39qpdh22q";
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rev = "r${version}";
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sha256 = "071rndqh3xy4y5idlykqv656lggp25vy4qx1divz4id3im1zlr13";
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};
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patches = [
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# Fix build with Bazel >= 0.10
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# Work around https://github.com/tensorflow/tensorflow/issues/24752
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./no-saved-proto.patch
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# https://github.com/tensorflow/tensorflow/pull/29673
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(fetchpatch {
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url = "https://github.com/tensorflow/tensorflow/commit/6fcfab770c2672e2250e0f5686b9545d99eb7b2b.patch";
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sha256 = "0p61za1mx3a7gj1s5lsps16fcw18iwnvq2b46v1kyqfgq77a12vb";
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name = "fix-compile-with-cuda-and-mpi.patch";
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url = "https://github.com/tensorflow/tensorflow/pull/29673/commits/498e35a3bfe38dd75cf1416a1a23c07c3b59e6af.patch";
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sha256 = "1m2qmwv1ysqa61z6255xggwbq6mnxbig749bdvrhnch4zydxb4di";
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})
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# https://github.com/tensorflow/tensorflow/issues/29220
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(fetchpatch {
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url = "https://github.com/tensorflow/tensorflow/commit/3f57956725b553d196974c9ad31badeb3eabf8bb.patch";
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sha256 = "11dja5gqy0qw27sc9b6yw9r0lfk8dznb32vrqqfcnypk2qmv26va";
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name = "bazel-0.27.patch";
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url = "https://github.com/tensorflow/tensorflow/commit/cfccbdb8c4a92dd26382419dceb4d934c2380391.patch";
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sha256 = "1l56wjia2c4685flsfkkgy471wx3c66wyv8khspv06zchj0k0liw";
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})
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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 = [ swig which ];
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buildInputs = [ python jemalloc openmpi glibcLocales numpy ]
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++ lib.optionals cudaSupport [ cudatoolkit cudnn nvidia_x11 ];
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buildInputs = [
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python
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jemalloc
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openmpi
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glibcLocales
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git
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# python deps needed during wheel build time
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numpy
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keras-preprocessing
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# libs taken from system through the TF_SYS_LIBS mechanism
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absl-py
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# for building the wheel
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setuptools
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wheel
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] ++ lib.optionals (!isPy3k) [
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future
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mock
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] ++ lib.optionals cudaSupport [
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cudatoolkit
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cudnn
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nvidia_x11
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];
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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/perfinion/tensorflow/blob/master/third_party/systemlibs/syslibs_configure.bzl
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SYSLIBS= [
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"absl_py"
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"astor_archive"
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"boringssl"
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"com_github_googleapis_googleapis"
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"com_github_googlecloudplatform_google_cloud_cpp"
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"com_google_protobuf"
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"com_google_protobuf_cc"
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"com_googlesource_code_re2"
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"curl"
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"cython"
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"double_conversion"
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"enum34_archive"
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"flatbuffers"
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"gast_archive"
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"gif_archive"
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"grpc"
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"hwloc"
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"icu"
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"jpeg"
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"jsoncpp_git"
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"keras_applications_archive"
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"lmdb"
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"nasm"
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# "nsync" # not packaged in nixpkgs
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"sqlite"
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"pasta"
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"pcre"
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"png_archive"
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"protobuf_archive"
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"six_archive"
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"snappy"
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"swig"
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"termcolor_archive"
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"wrapt"
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"zlib_archive"
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];
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preConfigure = ''
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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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# arbitrarily set to the current latest bazel version, overly careful
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export TF_IGNORE_MAX_BAZEL_VERSION=1
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# don't rebuild the world
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export TF_SYSTEM_LIBS=${lib.concatStringsSep " " SYSLIBS}
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export PYTHON_BIN_PATH="${python.interpreter}"
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export PYTHON_LIB_PATH="$NIX_BUILD_TOP/site-packages"
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export TF_NEED_GCP=1
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@ -73,26 +212,43 @@ let
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export TF_NEED_MPI=${tfFeature cudaSupport}
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export TF_NEED_CUDA=${tfFeature cudaSupport}
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${lib.optionalString cudaSupport ''
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export CUDA_TOOLKIT_PATH=${cudatoolkit_joined}
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export TF_CUDA_PATHS="${cudatoolkit_joined},${cudnn},${nccl}"
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export TF_CUDA_VERSION=${cudatoolkit.majorVersion}
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export CUDNN_INSTALL_PATH=${cudnn}
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export TF_CUDNN_VERSION=${cudnn.majorVersion}
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export GCC_HOST_COMPILER_PATH=${cudatoolkit.cc}/bin/gcc
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export GCC_HOST_COMPILER_PATH=${bazel_cuda_toolkit}/bin/gcc
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export GCC_HOST_COMPILER_PREFIX="${bazel_cuda_toolkit}/bin"
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export TF_CUDA_COMPUTE_CAPABILITIES=${lib.concatStringsSep "," cudaCapabilities}
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''}
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# https://github.com/tensorflow/tensorflow/issues/20919
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sed -i '/androidndk/d' tensorflow/lite/kernels/internal/BUILD
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mkdir -p "$PYTHON_LIB_PATH"
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'';
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# ar, cpp, gcov, strip, gcc, compat-ld, ld, objdump, dwp, nm, objcopy
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configurePhase = ''
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runHook preConfigure
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# no flags (options provided by previously set environment variables)
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export AR="${binutils.bintools}/bin/ar"
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export BAZEL_TOOLS_OVERRIDE="ar=${binutils.bintools}/bin/ar"
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# crosstool used with cuda
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./configure
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runHook postConfigure
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'';
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# FIXME
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NIX_LDFLAGS = lib.optionals cudaSupport [ "-lcublas" "-lcudnn" "-lcuda" "-lcudart" ];
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hardeningDisable = [ "all" ];
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bazelFlags = [ "--config=opt" ]
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++ lib.optional sse42Support "--copt=-msse4.2"
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bazelFlags = [
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# temporary fixes to make the build work with bazel 0.27
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"--incompatible_no_support_tools_in_action_inputs=false"
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] ++ lib.optional sse42Support "--copt=-msse4.2"
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++ lib.optional avx2Support "--copt=-mavx2"
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++ lib.optional fmaSupport "--copt=-mfma"
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++ lib.optional cudaSupport "--config=cuda";
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++ lib.optional fmaSupport "--copt=-mfma";
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bazelTarget = "//tensorflow/tools/pip_package:build_pip_package";
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@ -101,44 +257,94 @@ let
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rm -rf $bazelOut/external/{bazel_tools,\@bazel_tools.marker,local_*,\@local_*}
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'';
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sha256 = "1nc98aqrp14q7llypcwaa0kdn9xi7r0p1mnd3vmmn1m299py33ca";
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# cudaSupport causes fetch of ncclArchive, resulting in different hashes
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sha256 = if cudaSupport then
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"0q1pmw7fzn6l554ap576r48m0zgwb7n1ljhyy1p36708z94scdh4"
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else
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"14n26h2r4w7wd5sddy4w0s51s2qcwf276n3hvv2505iysa8wqlc3";
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};
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buildAttrs = {
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preBuild = ''
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patchShebangs .
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find -type f -name CROSSTOOL\* -exec sed -i \
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-e 's,/usr/bin/ar,${binutils.bintools}/bin/ar,g' \
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{} \;
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# beautiful bash to iterate over files containing a string
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# https://github.com/bazelbuild/bazel/issues/5915#issuecomment-505100422
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# .. to make sure the output directory is covered
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grep -lrZ '/usr/bin/ar\b' .. | while IFS="" read -r -d "" file; do
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# patch /usr/bin/ar to the proper location
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echo "File is $file"
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sed -i \
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-e 's,/usr/bin/ar\b,${binutils.bintools}/bin/ar,g' \
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"$file"
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done
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# Tensorboard pulls in a bunch of dependencies, some of which may
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# include security vulnerabilities. So we make it optional.
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# https://github.com/tensorflow/tensorflow/issues/20280#issuecomment-400230560
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sed -i '/tensorboard >=/d' tensorflow/tools/pip_package/setup.py
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'';
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# Could alternatively use --src instead of --dst to output the sources
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# instead of a whee. Generating a wheel makes it easier to unify handling
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# of source and binary build though.
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installPhase = ''
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sed -i 's,.*bdist_wheel.*,cp -rL . "$out"; exit 0,' bazel-bin/tensorflow/tools/pip_package/build_pip_package
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bazel-bin/tensorflow/tools/pip_package/build_pip_package $PWD/dist
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# work around timestamp issues
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# https://github.com/NixOS/nixpkgs/issues/270#issuecomment-467583872
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export SOURCE_DATE_EPOCH=315532800
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# bulid the wheel, then move it to $out (building directly to $out
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# would actually put it into a *directory* called $out, but we want the
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# file itself in $out)
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bazel-bin/tensorflow/tools/pip_package/build_pip_package --dst $PWD/dist
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mv dist/*.whl "$out"
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'';
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};
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dontFixup = true;
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};
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in buildPythonPackage rec {
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pname = "tensorflow";
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inherit version;
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inherit version pname;
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src = pkg;
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src = bazel-wheel;
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installFlags = lib.optional (!withTensorboard) "--no-dependencies";
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format = "wheel";
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postPatch = lib.optionalString (pythonAtLeast "3.4") ''
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sed -i '/enum34/d' setup.py
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# Upstream has a pip hack that results in bin/tensorboard being in both tensorflow
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# and the propagated input tensorflow-tensorboard, which causes environment collisions.
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# Another possibility would be to have tensorboard only in the buildInputs
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# https://github.com/tensorflow/tensorflow/blob/v1.7.1/tensorflow/tools/pip_package/setup.py#L79
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postInstall = ''
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rm $out/bin/tensorboard
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'';
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propagatedBuildInputs = [ numpy six protobuf absl-py ]
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++ lib.optional (!isPy3k) mock
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++ lib.optionals (pythonOlder "3.4") [ backports_weakref enum34 ]
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++ lib.optional withTensorboard tensorflow-tensorboard;
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# tensorflow/tools/pip_package/setup.py
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propagatedBuildInputs = [
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absl-py
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astor
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gast
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google-pasta
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keras-applications
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keras-preprocessing
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numpy
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six
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protobuf
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tensorflow-estimator
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termcolor
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wrapt
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grpcio
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] ++ lib.optionals (!isPy3k) [
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mock
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future # FIXME
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] ++ lib.optionals (pythonOlder "3.4") [
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backports_weakref enum34
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] ++ lib.optionals withTensorboard [
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tensorflow-tensorboard
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];
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# Actual tests are slow and impure.
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# TODO try to run them anyway
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# TODO better test (files in tensorflow/tools/ci_build/builds/*test)
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checkPhase = ''
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${python.interpreter} -c "import tensorflow"
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'';
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@ -0,0 +1,14 @@
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diff --git a/tensorflow/cc/saved_model/BUILD b/tensorflow/cc/saved_model/BUILD
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index 8626ed0087..27deb34387 100644
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--- a/tensorflow/cc/saved_model/BUILD
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+++ b/tensorflow/cc/saved_model/BUILD
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@@ -49,9 +49,6 @@ cc_library(
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# tf_lib depending on the build platform.
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"//tensorflow/core:lib",
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"//tensorflow/core:protos_all_cc",
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- ]) + if_mobile([
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- # Mobile-friendly SavedModel proto. See go/portable-proto for more info.
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- "//tensorflow/core:saved_model_portable_proto",
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]) + if_android([
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"//tensorflow/core:android_tensorflow_lib",
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]) + if_ios([
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@ -5703,11 +5703,13 @@ in {
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tensorflow =
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if stdenv.isDarwin
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then callPackage ../development/python-modules/tensorflow/bin.nix { }
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else callPackage ../development/python-modules/tensorflow/bin.nix rec {
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else callPackage ../development/python-modules/tensorflow rec {
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cudaSupport = pkgs.config.cudaSupport or false;
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inherit (pkgs.linuxPackages) nvidia_x11;
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cudatoolkit = pkgs.cudatoolkit_10_0;
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cudnn = pkgs.cudnn_cudatoolkit_10_0;
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cudatoolkit = pkgs.cudatoolkit_10;
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cudnn = pkgs.cudnn_cudatoolkit_10;
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nccl = pkgs.nccl_cudatoolkit_10;
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protobuf_cc = pkgs.protobuf; # not the python version
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};
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tensorflowWithoutCuda = self.tensorflow.override {
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