diff options
Diffstat (limited to 'nixpkgs/pkgs/development/python-modules/tensorflow/1')
5 files changed, 0 insertions, 665 deletions
diff --git a/nixpkgs/pkgs/development/python-modules/tensorflow/1/bin.nix b/nixpkgs/pkgs/development/python-modules/tensorflow/1/bin.nix deleted file mode 100644 index 5c93e957f7c1..000000000000 --- a/nixpkgs/pkgs/development/python-modules/tensorflow/1/bin.nix +++ /dev/null @@ -1,120 +0,0 @@ -{ stdenv -, lib -, fetchurl -, buildPythonPackage -, isPy3k, pythonOlder, pythonAtLeast -, astor -, gast -, google-pasta -, wrapt -, numpy -, six -, termcolor -, protobuf -, absl-py -, grpcio -, mock -, backports_weakref -, tensorflow-estimator_1 -, tensorflow-tensorboard -, cudaSupport ? false -, cudatoolkit ? null -, cudnn ? null -, nvidia_x11 ? null -, zlib -, python -, symlinkJoin -, keras-applications -, keras-preprocessing -, addOpenGLRunpath -}: - -# We keep this binary build for two reasons: -# - the source build doesn't work on Darwin. -# - the source build is currently brittle and not easy to maintain - -assert cudaSupport -> cudatoolkit != null - && cudnn != null - && nvidia_x11 != null; - -# unsupported combination -assert ! (stdenv.isDarwin && cudaSupport); - -let - packages = import ./binary-hashes.nix; - - variant = if cudaSupport then "-gpu" else ""; - pname = "tensorflow${variant}"; - -in buildPythonPackage { - inherit pname; - inherit (packages) version; - format = "wheel"; - disabled = pythonAtLeast "3.8"; - - src = let - pyVerNoDot = lib.strings.stringAsChars (x: if x == "." then "" else x) python.pythonVersion; - pyver = if stdenv.isDarwin then builtins.substring 0 1 pyVerNoDot else pyVerNoDot; - platform = if stdenv.isDarwin then "mac" else "linux"; - unit = if cudaSupport then "gpu" else "cpu"; - key = "${platform}_py_${pyver}_${unit}"; - in fetchurl packages.${key}; - - propagatedBuildInputs = [ - protobuf - numpy - termcolor - grpcio - six - astor - absl-py - gast - google-pasta - wrapt - tensorflow-estimator_1 - tensorflow-tensorboard - keras-applications - keras-preprocessing - ] ++ lib.optional (!isPy3k) mock - ++ lib.optionals (pythonOlder "3.4") [ backports_weakref ]; - - nativeBuildInputs = lib.optional cudaSupport addOpenGLRunpath; - - # Upstream has a pip hack that results in bin/tensorboard being in both tensorflow - # and the propageted 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 $out/bin/tensorboard - ''; - - # Note that we need to run *after* the fixup phase because the - # libraries are loaded at runtime. If we run in preFixup then - # patchelf --shrink-rpath will remove the cuda libraries. - postFixup = let - rpath = stdenv.lib.makeLibraryPath - ([ stdenv.cc.cc.lib zlib ] ++ lib.optionals cudaSupport [ cudatoolkit.out cudatoolkit.lib cudnn nvidia_x11 ]); - in - lib.optionalString stdenv.isLinux '' - rrPath="$out/${python.sitePackages}/tensorflow/:$out/${python.sitePackages}/tensorflow/contrib/tensor_forest/:${rpath}" - internalLibPath="$out/${python.sitePackages}/tensorflow/python/_pywrap_tensorflow_internal.so" - find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do - patchelf --set-rpath "$rrPath" "$lib" - ${lib.optionalString cudaSupport '' - addOpenGLRunpath "$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 = [ "x86_64-linux" "x86_64-darwin" ]; - # Python 2.7 build uses different string encoding. - # See https://github.com/NixOS/nixpkgs/pull/37044#issuecomment-373452253 - broken = stdenv.isDarwin && !isPy3k; - }; -} diff --git a/nixpkgs/pkgs/development/python-modules/tensorflow/1/binary-hashes.nix b/nixpkgs/pkgs/development/python-modules/tensorflow/1/binary-hashes.nix deleted file mode 100644 index fa4809dc3f19..000000000000 --- a/nixpkgs/pkgs/development/python-modules/tensorflow/1/binary-hashes.nix +++ /dev/null @@ -1,43 +0,0 @@ -{ -version = "1.14.0"; -linux_py_27_cpu = { - url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp27-none-linux_x86_64.whl"; - sha256 = "0yywdrfk97dh1bxhibspg0raz70fx9lcczj6xlimqy4xb60clx7k"; -}; -linux_py_35_cpu = { - url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp35-cp35m-linux_x86_64.whl"; - sha256 = "1xvyb6xcrjhlwvrmrhn5vs9xy7g98smqmpv4i3hhpry4qyasphhj"; -}; -linux_py_36_cpu = { - url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp36-cp36m-linux_x86_64.whl"; - sha256 = "1psd9vyxz9f39dwj77nvrg373sxv3p5vdp9fnz81dpsm0b0mwl44"; -}; -linux_py_37_cpu = { - url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl"; - sha256 = "0bg2sb1n2ag27r7ww695kg5hb0mjrw4kc5893krmixx2j71860c5"; -}; -linux_py_27_gpu = { - url = "https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.14.0-cp27-none-linux_x86_64.whl"; - sha256 = "0y1x91gayg6pjddgl8ndcm63wfzhyv4s5khgl7ffzsgni1ivaqw5"; -}; -linux_py_35_gpu = { - url = "https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.14.0-cp35-cp35m-linux_x86_64.whl"; - sha256 = "03piggpbz1jx8m2b95spq3jrdff4w6xx63ji07am7hyw2nsgx3mx"; -}; -linux_py_36_gpu = { - url = "https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.14.0-cp36-cp36m-linux_x86_64.whl"; - sha256 = "0ypkp8cfhharsyyikb1qgf44cfm6284km9xswzvzymjzz75vg3gd"; -}; -linux_py_37_gpu = { - url = "https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.14.0-cp37-cp37m-linux_x86_64.whl"; - sha256 = "0virp8nn2ysx4855hq29kas6fm6b3dsiybwzdxy9nnb9n2d8qlm2"; -}; -mac_py_2_cpu = { - url = "https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.14.0-py2-none-any.whl"; - sha256 = "14f86k3pgq7z6i4s4im55zpp38f0drnm7xlclavsgcc0nxnj3z26"; -}; -mac_py_3_cpu = { - url = "https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.14.0-py3-none-any.whl"; - sha256 = "0f3swpcjfgqhj6h5wnx8snc0xjkx4hnkqx83fmlrwpncs8c131d3"; -}; -} diff --git a/nixpkgs/pkgs/development/python-modules/tensorflow/1/default.nix b/nixpkgs/pkgs/development/python-modules/tensorflow/1/default.nix deleted file mode 100644 index 4dd30e4687ad..000000000000 --- a/nixpkgs/pkgs/development/python-modules/tensorflow/1/default.nix +++ /dev/null @@ -1,456 +0,0 @@ -{ stdenv, pkgs, bazel_0_26, buildBazelPackage, lib, fetchFromGitHub, fetchpatch, symlinkJoin -, addOpenGLRunpath -# Python deps -, buildPythonPackage, isPy3k, isPy27, pythonOlder, pythonAtLeast, python -# Python libraries -, numpy, tensorflow-tensorboard_1, backports_weakref, mock, enum34, absl-py -, future, setuptools, wheel, keras-preprocessing, keras-applications, google-pasta -, functools32 -, opt-einsum -, termcolor, grpcio, six, wrapt, protobuf, tensorflow-estimator_1 -# Common deps -, git, swig, which, binutils, glibcLocales, cython -# Common libraries -, jemalloc, openmpi, astor, gast, grpc, sqlite, openssl, jsoncpp, re2 -, curl, snappy, flatbuffers, icu, double-conversion, libpng, libjpeg, giflib -# 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, nvidia_x11 ? null, cudatoolkit ? null, cudnn ? null, nccl ? null -, mklSupport ? false, mkl ? null -# XLA without CUDA is broken -, xlaSupport ? cudaSupport -# Default from ./configure script -, cudaCapabilities ? [ "3.5" "5.2" ] -, sse42Support ? stdenv.hostPlatform.sse4_2Support -, avx2Support ? stdenv.hostPlatform.avx2Support -, fmaSupport ? stdenv.hostPlatform.fmaSupport -# Darwin deps -, Foundation, Security -}: - -assert cudaSupport -> nvidia_x11 != null - && cudatoolkit != null - && cudnn != null; - -# unsupported combination -assert ! (stdenv.isDarwin && cudaSupport); - -assert mklSupport -> mkl != null; - -let - withTensorboard = pythonOlder "3.6"; - - cudatoolkit_joined = symlinkJoin { - name = "${cudatoolkit.name}-merged"; - paths = [ - cudatoolkit.lib - cudatoolkit.out - # for some reason some of the required libs are in the targets/x86_64-linux - # directory; not sure why but this works around it - "${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 = [ - pkgs.protobuf - jsoncpp - ]; - }; - - tfFeature = x: if x then "1" else "0"; - - version = "1.15.4"; - variant = if cudaSupport then "-gpu" else ""; - pname = "tensorflow${variant}"; - - pythonEnv = python.withPackages (_: - [ # python deps needed during wheel build time (not runtime, see the buildPythonPackage part for that) - numpy - keras-preprocessing - protobuf - wrapt - gast - astor - absl-py - termcolor - keras-applications - setuptools - wheel - ] ++ lib.optionals (!isPy3k) - [ future - functools32 - mock - ]); - - bazel-build = buildBazelPackage { - name = "${pname}-${version}"; - bazel = bazel_0_26; - - src = fetchFromGitHub { - owner = "tensorflow"; - repo = "tensorflow"; - rev = "v${version}"; - sha256 = "0lg8ahyr2k7dmp0yfypk8ivl9a0xcg3j0f0dakmn5ljk8nsji0bj"; - }; - - patches = [ - # Work around https://github.com/tensorflow/tensorflow/issues/24752 - ../no-saved-proto.patch - # Fixes for NixOS jsoncpp - ../system-jsoncpp.patch - - # https://github.com/tensorflow/tensorflow/pull/29673 - (fetchpatch { - name = "fix-compile-with-cuda-and-mpi.patch"; - url = "https://github.com/tensorflow/tensorflow/pull/29673/commits/498e35a3bfe38dd75cf1416a1a23c07c3b59e6af.patch"; - sha256 = "1m2qmwv1ysqa61z6255xggwbq6mnxbig749bdvrhnch4zydxb4di"; - }) - (fetchpatch { - name = "backport-pr-18950.patch"; - url = "https://github.com/tensorflow/tensorflow/commit/73640aaec2ab0234d9fff138e3c9833695570c0a.patch"; - sha256 = "1n9ypbrx36fc1kc9cz5b3p9qhg15xxhq4nz6ap3hwqba535nakfz"; - }) - - (fetchpatch { - # be compatible with gast >0.2 instead of only gast 0.2.2 - name = "gast-update.patch"; - url = "https://github.com/tensorflow/tensorflow/commit/85751ad6c7f5fd12c6c79545d96896cba92fa8b4.patch"; - sha256 = "077cpj0kzyqxzdya1dwh8df17zfzhqn7c685hx6iskvw2979zg2n"; - }) - ./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 - # https://gitweb.gentoo.org/repo/gentoo.git/tree/sci-libs/tensorflow - - nativeBuildInputs = [ - swig which pythonEnv - ] ++ lib.optional cudaSupport addOpenGLRunpath; - - buildInputs = [ - jemalloc - openmpi - glibcLocales - git - - # libs taken from system through the TF_SYS_LIBS mechanism - # 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"; - }; -} diff --git a/nixpkgs/pkgs/development/python-modules/tensorflow/1/lift-gast-restriction.patch b/nixpkgs/pkgs/development/python-modules/tensorflow/1/lift-gast-restriction.patch deleted file mode 100644 index 30861d923417..000000000000 --- a/nixpkgs/pkgs/development/python-modules/tensorflow/1/lift-gast-restriction.patch +++ /dev/null @@ -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', diff --git a/nixpkgs/pkgs/development/python-modules/tensorflow/1/prefetcher.sh b/nixpkgs/pkgs/development/python-modules/tensorflow/1/prefetcher.sh deleted file mode 100755 index d590fb0f1732..000000000000 --- a/nixpkgs/pkgs/development/python-modules/tensorflow/1/prefetcher.sh +++ /dev/null @@ -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 |