tensorflow: drop 1.x
it no longer works without our default python version and needs many patches to compile.
This commit is contained in:
Jörg Thalheim
parent
cc8db6e19b
commit
1976d79627
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@ -1,30 +0,0 @@
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{ stdenv, fetchPypi, buildPythonPackage
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, numpy
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, absl-py
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, mock
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}:
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buildPythonPackage rec {
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pname = "tensorflow-estimator";
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# This is effectively 1.15.0. Upstream tagged 1.15.0 by mistake before
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# actually updating the version in setup.py, which is why this tag is called
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# 1.15.1.
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version = "1.15.1";
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format = "wheel";
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src = fetchPypi {
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pname = "tensorflow_estimator";
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inherit version format;
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sha256 = "1fc61wmc0w22frs79j2x4g6wnv5g21xc6rix1g4bsvy9qfvvylw8";
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};
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propagatedBuildInputs = [ mock numpy absl-py ];
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meta = with stdenv.lib; {
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description = "TensorFlow Estimator is a high-level API that encapsulates model training, evaluation, prediction, and exporting.";
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homepage = "http://tensorflow.org";
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license = licenses.asl20;
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maintainers = with maintainers; [ jyp ];
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};
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}
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@ -1,120 +0,0 @@
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{ stdenv
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, lib
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, fetchurl
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, buildPythonPackage
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, isPy3k, pythonOlder, pythonAtLeast
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, astor
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, gast
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, google-pasta
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, wrapt
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, numpy
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, six
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, termcolor
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, protobuf
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, absl-py
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, grpcio
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, mock
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, backports_weakref
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, tensorflow-estimator_1
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, tensorflow-tensorboard
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, cudaSupport ? false
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, cudatoolkit ? null
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, cudnn ? null
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, nvidia_x11 ? null
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, zlib
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, python
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, symlinkJoin
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, keras-applications
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, keras-preprocessing
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, addOpenGLRunpath
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}:
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# We keep this binary build for two reasons:
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# - the source build doesn't work on Darwin.
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# - the source build is currently brittle and not easy to maintain
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assert cudaSupport -> cudatoolkit != null
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&& cudnn != null
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&& nvidia_x11 != null;
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# unsupported combination
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assert ! (stdenv.isDarwin && cudaSupport);
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let
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packages = import ./binary-hashes.nix;
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variant = if cudaSupport then "-gpu" else "";
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pname = "tensorflow${variant}";
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in buildPythonPackage {
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inherit pname;
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inherit (packages) version;
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format = "wheel";
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disabled = pythonAtLeast "3.8";
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src = let
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pyVerNoDot = lib.strings.stringAsChars (x: if x == "." then "" else x) python.pythonVersion;
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pyver = if stdenv.isDarwin then builtins.substring 0 1 pyVerNoDot else pyVerNoDot;
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platform = if stdenv.isDarwin then "mac" else "linux";
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unit = if cudaSupport then "gpu" else "cpu";
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key = "${platform}_py_${pyver}_${unit}";
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in fetchurl packages.${key};
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propagatedBuildInputs = [
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protobuf
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numpy
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termcolor
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grpcio
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six
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astor
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absl-py
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gast
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google-pasta
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wrapt
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tensorflow-estimator_1
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tensorflow-tensorboard
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keras-applications
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keras-preprocessing
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] ++ lib.optional (!isPy3k) mock
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++ lib.optionals (pythonOlder "3.4") [ backports_weakref ];
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nativeBuildInputs = lib.optional cudaSupport addOpenGLRunpath;
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# Upstream has a pip hack that results in bin/tensorboard being in both tensorflow
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# and the propageted 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 $out/bin/tensorboard
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'';
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# Note that we need to run *after* the fixup phase because the
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# libraries are loaded at runtime. If we run in preFixup then
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# patchelf --shrink-rpath will remove the cuda libraries.
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postFixup = let
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rpath = stdenv.lib.makeLibraryPath
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([ stdenv.cc.cc.lib zlib ] ++ lib.optionals cudaSupport [ cudatoolkit.out cudatoolkit.lib cudnn nvidia_x11 ]);
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in
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lib.optionalString stdenv.isLinux ''
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rrPath="$out/${python.sitePackages}/tensorflow/:$out/${python.sitePackages}/tensorflow/contrib/tensor_forest/:${rpath}"
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internalLibPath="$out/${python.sitePackages}/tensorflow/python/_pywrap_tensorflow_internal.so"
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find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
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patchelf --set-rpath "$rrPath" "$lib"
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${lib.optionalString cudaSupport ''
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addOpenGLRunpath "$lib"
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''}
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done
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'';
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meta = with stdenv.lib; {
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description = "Computation using data flow graphs for scalable machine learning";
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homepage = "http://tensorflow.org";
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license = licenses.asl20;
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maintainers = with maintainers; [ jyp abbradar ];
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platforms = [ "x86_64-linux" "x86_64-darwin" ];
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# Python 2.7 build uses different string encoding.
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# See https://github.com/NixOS/nixpkgs/pull/37044#issuecomment-373452253
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broken = stdenv.isDarwin && !isPy3k;
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};
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}
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@ -1,43 +0,0 @@
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{
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version = "1.14.0";
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linux_py_27_cpu = {
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url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp27-none-linux_x86_64.whl";
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sha256 = "0yywdrfk97dh1bxhibspg0raz70fx9lcczj6xlimqy4xb60clx7k";
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};
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linux_py_35_cpu = {
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url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp35-cp35m-linux_x86_64.whl";
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sha256 = "1xvyb6xcrjhlwvrmrhn5vs9xy7g98smqmpv4i3hhpry4qyasphhj";
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};
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linux_py_36_cpu = {
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url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp36-cp36m-linux_x86_64.whl";
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sha256 = "1psd9vyxz9f39dwj77nvrg373sxv3p5vdp9fnz81dpsm0b0mwl44";
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};
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linux_py_37_cpu = {
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url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl";
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sha256 = "0bg2sb1n2ag27r7ww695kg5hb0mjrw4kc5893krmixx2j71860c5";
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};
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linux_py_27_gpu = {
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url = "https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.14.0-cp27-none-linux_x86_64.whl";
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sha256 = "0y1x91gayg6pjddgl8ndcm63wfzhyv4s5khgl7ffzsgni1ivaqw5";
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};
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linux_py_35_gpu = {
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url = "https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.14.0-cp35-cp35m-linux_x86_64.whl";
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sha256 = "03piggpbz1jx8m2b95spq3jrdff4w6xx63ji07am7hyw2nsgx3mx";
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};
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linux_py_36_gpu = {
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url = "https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.14.0-cp36-cp36m-linux_x86_64.whl";
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sha256 = "0ypkp8cfhharsyyikb1qgf44cfm6284km9xswzvzymjzz75vg3gd";
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};
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linux_py_37_gpu = {
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url = "https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.14.0-cp37-cp37m-linux_x86_64.whl";
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sha256 = "0virp8nn2ysx4855hq29kas6fm6b3dsiybwzdxy9nnb9n2d8qlm2";
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};
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mac_py_2_cpu = {
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url = "https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.14.0-py2-none-any.whl";
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sha256 = "14f86k3pgq7z6i4s4im55zpp38f0drnm7xlclavsgcc0nxnj3z26";
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};
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mac_py_3_cpu = {
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url = "https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.14.0-py3-none-any.whl";
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sha256 = "0f3swpcjfgqhj6h5wnx8snc0xjkx4hnkqx83fmlrwpncs8c131d3";
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};
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}
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@ -1,456 +0,0 @@
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{ stdenv, pkgs, bazel_0_26, buildBazelPackage, lib, fetchFromGitHub, fetchpatch, symlinkJoin
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, addOpenGLRunpath
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# Python deps
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, buildPythonPackage, isPy3k, isPy27, pythonOlder, pythonAtLeast, python
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# Python libraries
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, numpy, tensorflow-tensorboard_1, backports_weakref, mock, enum34, absl-py
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, future, setuptools, wheel, keras-preprocessing, keras-applications, google-pasta
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, functools32
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, opt-einsum
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, termcolor, grpcio, six, wrapt, protobuf, tensorflow-estimator_1
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# Common deps
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, git, swig, which, binutils, glibcLocales, cython
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# Common libraries
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, jemalloc, openmpi, astor, gast, grpc, sqlite, openssl, jsoncpp, re2
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, curl, snappy, flatbuffers, icu, double-conversion, libpng, libjpeg, giflib
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# Upsteam 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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, cudaSupport ? false, nvidia_x11 ? null, cudatoolkit ? null, cudnn ? null, nccl ? null
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, mklSupport ? false, mkl ? 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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, cudaCapabilities ? [ "3.5" "5.2" ]
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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
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}:
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assert cudaSupport -> nvidia_x11 != null
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&& cudatoolkit != null
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&& cudnn != null;
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# unsupported combination
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assert ! (stdenv.isDarwin && cudaSupport);
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assert mklSupport -> mkl != null;
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let
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withTensorboard = pythonOlder "3.6";
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cudatoolkit_joined = symlinkJoin {
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name = "${cudatoolkit.name}-merged";
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paths = [
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cudatoolkit.lib
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cudatoolkit.out
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# for some reason some of the required libs are in the targets/x86_64-linux
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# directory; not sure why but this works around it
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"${cudatoolkit}/targets/${stdenv.system}"
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];
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};
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cudatoolkit_cc_joined = symlinkJoin {
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name = "${cudatoolkit.cc.name}-merged";
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paths = [
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cudatoolkit.cc
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binutils.bintools # for ar, dwp, nm, objcopy, objdump, strip
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];
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};
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# 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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pkgs.protobuf
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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 = "1.15.4";
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variant = if cudaSupport then "-gpu" else "";
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pname = "tensorflow${variant}";
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pythonEnv = python.withPackages (_:
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[ # python deps needed during wheel build time (not runtime, see the buildPythonPackage part for that)
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numpy
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keras-preprocessing
|
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protobuf
|
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wrapt
|
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gast
|
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astor
|
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absl-py
|
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termcolor
|
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keras-applications
|
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setuptools
|
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wheel
|
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] ++ lib.optionals (!isPy3k)
|
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[ future
|
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functools32
|
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mock
|
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]);
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|
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bazel-build = buildBazelPackage {
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name = "${pname}-${version}";
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bazel = bazel_0_26;
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|
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src = fetchFromGitHub {
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owner = "tensorflow";
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repo = "tensorflow";
|
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rev = "v${version}";
|
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sha256 = "0lg8ahyr2k7dmp0yfypk8ivl9a0xcg3j0f0dakmn5ljk8nsji0bj";
|
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};
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|
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patches = [
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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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# Fixes for NixOS jsoncpp
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../system-jsoncpp.patch
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|
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# https://github.com/tensorflow/tensorflow/pull/29673
|
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(fetchpatch {
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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";
|
||||
})
|
||||
(fetchpatch {
|
||||
name = "backport-pr-18950.patch";
|
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url = "https://github.com/tensorflow/tensorflow/commit/73640aaec2ab0234d9fff138e3c9833695570c0a.patch";
|
||||
sha256 = "1n9ypbrx36fc1kc9cz5b3p9qhg15xxhq4nz6ap3hwqba535nakfz";
|
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})
|
||||
|
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(fetchpatch {
|
||||
# be compatible with gast >0.2 instead of only gast 0.2.2
|
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name = "gast-update.patch";
|
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url = "https://github.com/tensorflow/tensorflow/commit/85751ad6c7f5fd12c6c79545d96896cba92fa8b4.patch";
|
||||
sha256 = "077cpj0kzyqxzdya1dwh8df17zfzhqn7c685hx6iskvw2979zg2n";
|
||||
})
|
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./lift-gast-restriction.patch
|
||||
|
||||
(fetchpatch {
|
||||
# fix compilation with numpy >= 1.19
|
||||
name = "add-const-overload.patch";
|
||||
url = "https://github.com/tensorflow/tensorflow/commit/75ea0b31477d6ba9e990e296bbbd8ca4e7eebadf.patch";
|
||||
sha256 = "1xp1icacig0xm0nmb05sbrf4nw4xbln9fhc308birrv8286zx7wv";
|
||||
})
|
||||
|
||||
# cuda 10.2 does not have "-bin2c-path" option anymore
|
||||
# https://github.com/tensorflow/tensorflow/issues/34429
|
||||
../cuda-10.2-no-bin2c-path.patch
|
||||
];
|
||||
|
||||
# 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 pythonEnv
|
||||
] ++ lib.optional cudaSupport addOpenGLRunpath;
|
||||
|
||||
buildInputs = [
|
||||
jemalloc
|
||||
openmpi
|
||||
glibcLocales
|
||||
git
|
||||
|
||||
# libs taken from system through the TF_SYS_LIBS mechanism
|
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# grpc
|
||||
sqlite
|
||||
openssl
|
||||
jsoncpp
|
||||
pkgs.protobuf
|
||||
curl
|
||||
snappy
|
||||
flatbuffers
|
||||
icu
|
||||
double-conversion
|
||||
libpng
|
||||
libjpeg
|
||||
giflib
|
||||
re2
|
||||
pkgs.lmdb
|
||||
] ++ lib.optionals cudaSupport [
|
||||
cudatoolkit
|
||||
cudnn
|
||||
nvidia_x11
|
||||
] ++ 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"
|
||||
"boringssl"
|
||||
# Not packaged in nixpkgs
|
||||
# "com_github_googleapis_googleapis"
|
||||
# "com_github_googlecloudplatform_google_cloud_cpp"
|
||||
"com_google_protobuf"
|
||||
"com_googlesource_code_re2"
|
||||
"curl"
|
||||
"cython"
|
||||
"double_conversion"
|
||||
"flatbuffers"
|
||||
"gast_archive"
|
||||
"gif_archive"
|
||||
# Lots of errors, requires an older version
|
||||
# "grpc"
|
||||
"hwloc"
|
||||
"icu"
|
||||
"jpeg"
|
||||
"jsoncpp_git"
|
||||
"keras_applications_archive"
|
||||
"lmdb"
|
||||
"nasm"
|
||||
# "nsync" # not packaged in nixpkgs
|
||||
"opt_einsum_archive"
|
||||
"org_sqlite"
|
||||
"pasta"
|
||||
"pcre"
|
||||
"png_archive"
|
||||
"six_archive"
|
||||
"snappy"
|
||||
"swig"
|
||||
"termcolor_archive"
|
||||
"wrapt"
|
||||
"zlib_archive"
|
||||
];
|
||||
|
||||
INCLUDEDIR = "${includes_joined}/include";
|
||||
|
||||
PYTHON_BIN_PATH = pythonEnv.interpreter;
|
||||
|
||||
TF_NEED_GCP = true;
|
||||
TF_NEED_HDFS = true;
|
||||
TF_ENABLE_XLA = tfFeature xlaSupport;
|
||||
|
||||
CC_OPT_FLAGS = " ";
|
||||
|
||||
# https://github.com/tensorflow/tensorflow/issues/14454
|
||||
TF_NEED_MPI = tfFeature cudaSupport;
|
||||
|
||||
TF_NEED_CUDA = tfFeature cudaSupport;
|
||||
TF_CUDA_PATHS = lib.optionalString cudaSupport "${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 = ''
|
||||
# https://github.com/tensorflow/tensorflow/issues/20919
|
||||
sed -i '/androidndk/d' tensorflow/lite/kernels/internal/BUILD
|
||||
|
||||
# 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
|
||||
|
||||
substituteInPlace tensorflow/tools/pip_package/setup.py \
|
||||
--replace "numpy >= 1.16.0, < 1.19.0" "numpy >= 1.16.0"
|
||||
|
||||
# glibc 2.31+ does not have sys/sysctl.h
|
||||
# see https://github.com/tensorflow/tensorflow/issues/45861
|
||||
substituteInPlace third_party/hwloc/BUILD.bazel\
|
||||
--replace "#define HAVE_SYS_SYSCTL_H 1" "#undef HAVE_SYS_SYSCTL_H"
|
||||
'';
|
||||
|
||||
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
|
||||
'';
|
||||
|
||||
# FIXME: Tensorflow uses dlopen() for CUDA libraries.
|
||||
NIX_LDFLAGS = lib.optionalString cudaSupport "-lcudart -lcublas -lcufft -lcurand -lcusolver -lcusparse -lcudnn";
|
||||
|
||||
hardeningDisable = [ "format" ];
|
||||
|
||||
bazelFlags = [
|
||||
# temporary fixes to make the build work with bazel 0.27
|
||||
"--incompatible_no_support_tools_in_action_inputs=false"
|
||||
];
|
||||
bazelBuildFlags = [
|
||||
"--config=opt" # optimize using the flags set in the configure phase
|
||||
]
|
||||
++ lib.optionals (mklSupport) [ "--config=mkl" ];
|
||||
|
||||
bazelTarget = "//tensorflow/tools/pip_package:build_pip_package //tensorflow/tools/lib_package:libtensorflow";
|
||||
|
||||
fetchAttrs = {
|
||||
# So that checksums don't depend on these.
|
||||
TF_SYSTEM_LIBS = null;
|
||||
|
||||
# cudaSupport causes fetch of ncclArchive, resulting in different hashes
|
||||
sha256 = if cudaSupport then
|
||||
"1bi6aydidgi943hiqj0d279jbz2g173hvafdqla1ifw2qdsm73pb"
|
||||
else
|
||||
"0l5510fr8n22c4hx9llr0vqqhx9wlgkyxl55fxbixhssd0ai05r4";
|
||||
};
|
||||
|
||||
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
|
||||
'';
|
||||
};
|
||||
|
||||
meta = with stdenv.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;
|
||||
# The py2 build fails due to some issue importing protobuf. Possibly related to the fix in
|
||||
# https://github.com/akesandgren/easybuild-easyblocks/commit/1f2e517ddfd1b00a342c6abb55aef3fd93671a2b
|
||||
broken = !(xlaSupport -> cudaSupport) || !isPy3k;
|
||||
};
|
||||
};
|
||||
|
||||
in buildPythonPackage {
|
||||
inherit version pname;
|
||||
disabled = isPy27 || (pythonAtLeast "3.8");
|
||||
|
||||
src = bazel-build.python;
|
||||
|
||||
# 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
|
||||
astor
|
||||
gast
|
||||
google-pasta
|
||||
keras-applications
|
||||
keras-preprocessing
|
||||
numpy
|
||||
six
|
||||
protobuf
|
||||
tensorflow-estimator_1
|
||||
termcolor
|
||||
wrapt
|
||||
grpcio
|
||||
opt-einsum
|
||||
] ++ lib.optionals (!isPy3k) [
|
||||
mock
|
||||
future
|
||||
functools32
|
||||
] ++ lib.optionals (pythonOlder "3.4") [
|
||||
backports_weakref enum34
|
||||
] ++ lib.optionals withTensorboard [
|
||||
tensorflow-tensorboard_1
|
||||
];
|
||||
|
||||
nativeBuildInputs = lib.optional cudaSupport addOpenGLRunpath;
|
||||
|
||||
postFixup = lib.optionalString cudaSupport ''
|
||||
find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
|
||||
addOpenGLRunpath "$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)
|
||||
checkPhase = ''
|
||||
${python.interpreter} <<EOF
|
||||
# A simple "Hello world"
|
||||
import tensorflow as tf
|
||||
hello = tf.constant("Hello, world!")
|
||||
sess = tf.Session()
|
||||
sess.run(hello)
|
||||
|
||||
# Fit a simple model to random data
|
||||
import numpy as np
|
||||
np.random.seed(0)
|
||||
tf.random.set_random_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)
|
||||
|
||||
# regression test for #77626
|
||||
from tensorflow.contrib import tensor_forest
|
||||
EOF
|
||||
'';
|
||||
|
||||
passthru = {
|
||||
deps = bazel-build.deps;
|
||||
libtensorflow = bazel-build.out;
|
||||
};
|
||||
|
||||
meta = bazel-build.meta // {
|
||||
broken = gast.version != "0.3.2";
|
||||
};
|
||||
}
|
||||
|
|
@ -1,13 +0,0 @@
|
|||
diff --git a/tensorflow/tools/pip_package/setup.py b/tensorflow/tools/pip_package/setup.py
|
||||
index 992f2eae22..d9386f9b13 100644
|
||||
--- a/tensorflow/tools/pip_package/setup.py
|
||||
+++ b/tensorflow/tools/pip_package/setup.py
|
||||
@@ -54,7 +54,7 @@ REQUIRED_PACKAGES = [
|
||||
'enum34 >= 1.1.6;python_version<"3.4"',
|
||||
# functools comes with python3, need to install the backport for python2
|
||||
'functools32 >= 3.2.3;python_version<"3"',
|
||||
- 'gast == 0.2.2',
|
||||
+ 'gast >= 0.2.2',
|
||||
'google_pasta >= 0.1.6',
|
||||
'keras_applications >= 1.0.8',
|
||||
'keras_preprocessing >= 1.0.5',
|
||||
|
|
@ -1,33 +0,0 @@
|
|||
#!/usr/bin/env bash
|
||||
|
||||
version=1.14.0
|
||||
hashfile=binary-hashes.nix
|
||||
rm -f $hashfile
|
||||
echo "{" >> $hashfile
|
||||
echo "version = \"$version\";" >> $hashfile
|
||||
for sys in "linux" "mac"; do
|
||||
for tfpref in "cpu/tensorflow" "gpu/tensorflow_gpu"; do
|
||||
for pykind in "py2-none-any" "py3-none-any" "cp27-none-linux_x86_64" "cp35-cp35m-linux_x86_64" "cp36-cp36m-linux_x86_64" "cp37-cp37m-linux_x86_64"; do
|
||||
if [ $sys == "mac" ]; then
|
||||
[[ $pykind =~ py.* ]] && [[ $tfpref =~ cpu.* ]]
|
||||
result=$?
|
||||
pyver=${pykind:2:1}
|
||||
flavour=cpu
|
||||
else
|
||||
[[ $pykind =~ .*linux.* ]]
|
||||
result=$?
|
||||
pyver=${pykind:2:2}
|
||||
flavour=${tfpref:0:3}
|
||||
fi
|
||||
if [ $result == 0 ]; then
|
||||
url=https://storage.googleapis.com/tensorflow/$sys/$tfpref-$version-$pykind.whl
|
||||
hash=$(nix-prefetch-url $url)
|
||||
echo "${sys}_py_${pyver}_${flavour} = {" >> $hashfile
|
||||
echo " url = \"$url\";" >> $hashfile
|
||||
echo " sha256 = \"$hash\";" >> $hashfile
|
||||
echo "};" >> $hashfile
|
||||
fi
|
||||
done
|
||||
done
|
||||
done
|
||||
echo "}" >> $hashfile
|
||||
|
|
@ -1,10 +0,0 @@
|
|||
--- a/third_party/nccl/build_defs.bzl.tpl
|
||||
+++ b/third_party/nccl/build_defs.bzl.tpl
|
||||
@@ -113,7 +113,6 @@ def _device_link_impl(ctx):
|
||||
"--cmdline=--compile-only",
|
||||
"--link",
|
||||
"--compress-all",
|
||||
- "--bin2c-path=%s" % bin2c.dirname,
|
||||
"--create=%s" % tmp_fatbin.path,
|
||||
"--embedded-fatbin=%s" % fatbin_h.path,
|
||||
] + images,
|
||||
|
|
@ -108,7 +108,7 @@ let
|
|||
|
||||
patches = [
|
||||
# Fixes for NixOS jsoncpp
|
||||
../system-jsoncpp.patch
|
||||
./system-jsoncpp.patch
|
||||
|
||||
./relax-dependencies.patch
|
||||
|
||||
|
|
@ -1,14 +0,0 @@
|
|||
diff --git a/tensorflow/cc/saved_model/BUILD b/tensorflow/cc/saved_model/BUILD
|
||||
index 8626ed0087..27deb34387 100644
|
||||
--- a/tensorflow/cc/saved_model/BUILD
|
||||
+++ b/tensorflow/cc/saved_model/BUILD
|
||||
@@ -49,9 +49,6 @@ cc_library(
|
||||
# tf_lib depending on the build platform.
|
||||
"//tensorflow/core:lib",
|
||||
"//tensorflow/core:protos_all_cc",
|
||||
- ]) + if_mobile([
|
||||
- # Mobile-friendly SavedModel proto. See go/portable-proto for more info.
|
||||
- "//tensorflow/core:saved_model_portable_proto",
|
||||
]) + if_android([
|
||||
"//tensorflow/core:android_tensorflow_lib",
|
||||
]) + if_ios([
|
||||
|
|
@ -7352,34 +7352,16 @@ in {
|
|||
|
||||
tensorboardx = callPackage ../development/python-modules/tensorboardx { };
|
||||
|
||||
tensorflow-bin_1 = callPackage ../development/python-modules/tensorflow/1/bin.nix {
|
||||
tensorflow-bin_2 = callPackage ../development/python-modules/tensorflow/bin.nix {
|
||||
cudaSupport = pkgs.config.cudaSupport or false;
|
||||
inherit (pkgs.linuxPackages) nvidia_x11;
|
||||
cudatoolkit = pkgs.cudatoolkit_10;
|
||||
cudnn = pkgs.cudnn_cudatoolkit_10;
|
||||
};
|
||||
|
||||
tensorflow-bin_2 = callPackage ../development/python-modules/tensorflow/2/bin.nix {
|
||||
cudaSupport = pkgs.config.cudaSupport or false;
|
||||
inherit (pkgs.linuxPackages) nvidia_x11;
|
||||
cudatoolkit = pkgs.cudatoolkit_10;
|
||||
cudnn = pkgs.cudnn_cudatoolkit_10;
|
||||
};
|
||||
tensorflow-bin = self.tensorflow-bin_2;
|
||||
|
||||
tensorflow-bin = self.tensorflow-bin_1;
|
||||
|
||||
tensorflow-build_1 = callPackage ../development/python-modules/tensorflow/1 {
|
||||
cudaSupport = pkgs.config.cudaSupport or false;
|
||||
inherit (pkgs.linuxPackages) nvidia_x11;
|
||||
cudatoolkit = pkgs.cudatoolkit_10;
|
||||
cudnn = pkgs.cudnn_cudatoolkit_10;
|
||||
nccl = pkgs.nccl_cudatoolkit_10;
|
||||
openssl = pkgs.openssl_1_1;
|
||||
inherit (pkgs.darwin.apple_sdk.frameworks) Foundation Security;
|
||||
inherit (pkgs) flatbuffers;
|
||||
};
|
||||
|
||||
tensorflow-build_2 = callPackage ../development/python-modules/tensorflow/2 {
|
||||
tensorflow-build_2 = callPackage ../development/python-modules/tensorflow {
|
||||
cudaSupport = pkgs.config.cudaSupport or false;
|
||||
cudatoolkit = pkgs.cudatoolkit_11;
|
||||
cudnn = pkgs.cudnn_cudatoolkit_11;
|
||||
|
|
@ -7389,25 +7371,20 @@ in {
|
|||
inherit (pkgs) flatbuffers;
|
||||
};
|
||||
|
||||
tensorflow-build = self.tensorflow-build_1;
|
||||
tensorflow-build = self.tensorflow-build_2;
|
||||
|
||||
tensorflow-estimator_1 = callPackage ../development/python-modules/tensorflow-estimator/1 { };
|
||||
tensorflow-estimator_2 = callPackage ../development/python-modules/tensorflow-estimator { };
|
||||
|
||||
tensorflow-estimator_2 = callPackage ../development/python-modules/tensorflow-estimator/2 { };
|
||||
|
||||
tensorflow-estimator = self.tensorflow-estimator_1;
|
||||
tensorflow-estimator = self.tensorflow-estimator_2;
|
||||
|
||||
tensorflow-probability = callPackage ../development/python-modules/tensorflow-probability { };
|
||||
|
||||
tensorflow = self.tensorflow_1;
|
||||
tensorflow_1 = self.tensorflow-build_1;
|
||||
tensorflow = self.tensorflow_2;
|
||||
tensorflow_2 = self.tensorflow-build_2;
|
||||
|
||||
tensorflow-tensorboard_1 = callPackage ../development/python-modules/tensorflow-tensorboard/1 { };
|
||||
tensorflow-tensorboard_2 = callPackage ../development/python-modules/tensorflow-tensorboard { };
|
||||
|
||||
tensorflow-tensorboard_2 = callPackage ../development/python-modules/tensorflow-tensorboard/2 { };
|
||||
|
||||
tensorflow-tensorboard = self.tensorflow-tensorboard_1;
|
||||
tensorflow-tensorboard = self.tensorflow-tensorboard_2;
|
||||
|
||||
tensorflowWithCuda = self.tensorflow.override { cudaSupport = true; };
|
||||
|
||||
|
|
|
|||
Loading…
Reference in a new issue