Merge pull request #64716 from abbradar/tensorflow-revive
Build Tensorflow and libtensorflow from source
This commit is contained in:
commit
6ee9799164
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@ -4,7 +4,7 @@
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, lib
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}:
|
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|
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args@{ name, bazelFlags ? [], bazelTarget, buildAttrs, fetchAttrs, ... }:
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args@{ name, bazelFlags ? [], bazelBuildFlags ? [], bazelFetchFlags ? [], bazelTarget, buildAttrs, fetchAttrs, ... }:
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|
||||
let
|
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fArgs = removeAttrs args [ "buildAttrs" "fetchAttrs" ];
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|
@ -12,11 +12,11 @@ let
|
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fFetchAttrs = fArgs // removeAttrs fetchAttrs [ "sha256" ];
|
||||
|
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in stdenv.mkDerivation (fBuildAttrs // {
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inherit name bazelFlags bazelTarget;
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inherit name bazelFlags bazelBuildFlags bazelFetchFlags bazelTarget;
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deps = stdenv.mkDerivation (fFetchAttrs // {
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name = "${name}-deps";
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inherit bazelFlags bazelTarget;
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inherit bazelFlags bazelBuildFlags bazelFetchFlags bazelTarget;
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nativeBuildInputs = fFetchAttrs.nativeBuildInputs or [] ++ [ bazel ];
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@ -49,6 +49,7 @@ in stdenv.mkDerivation (fBuildAttrs // {
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fetch \
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--loading_phase_threads=1 \
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$bazelFlags \
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$bazelFetchFlags \
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$bazelTarget
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runHook postBuild
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|
@ -149,6 +150,7 @@ in stdenv.mkDerivation (fBuildAttrs // {
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"''${host_linkopts[@]}" \
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'' + ''
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$bazelFlags \
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$bazelBuildFlags \
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$bazelTarget
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|
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runHook postBuild
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|
|
|
@ -1,80 +0,0 @@
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{ config, stdenv
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, fetchurl
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, patchelf
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, cudaSupport ? config.cudaSupport or false, symlinkJoin, cudatoolkit, cudnn, nvidia_x11
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}:
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with stdenv.lib;
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let
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tfType = if cudaSupport then "gpu" else "cpu";
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system =
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if stdenv.isx86_64
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then if stdenv.isLinux then "linux-x86_64"
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else if stdenv.isDarwin then "darwin-x86_64" else unavailable
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else unavailable;
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unavailable = throw "libtensorflow is not available for this platform!";
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cudatoolkit_joined = symlinkJoin {
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||||
name = "unsplit_cudatoolkit";
|
||||
paths = [ cudatoolkit.out
|
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cudatoolkit.lib ];};
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rpath = makeLibraryPath ([stdenv.cc.libc stdenv.cc.cc.lib] ++
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optionals cudaSupport [ cudatoolkit_joined cudnn nvidia_x11 ]);
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patchLibs =
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if stdenv.isDarwin
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||||
then ''
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install_name_tool -id $out/lib/libtensorflow.so $out/lib/libtensorflow.so
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install_name_tool -id $out/lib/libtensorflow_framework.so $out/lib/libtensorflow_framework.so
|
||||
''
|
||||
else ''
|
||||
${patchelf}/bin/patchelf --set-rpath "${rpath}:$out/lib" $out/lib/libtensorflow.so
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${patchelf}/bin/patchelf --set-rpath "${rpath}" $out/lib/libtensorflow_framework.so
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'';
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|
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in stdenv.mkDerivation rec {
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pname = "libtensorflow";
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version = "1.9.0";
|
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name = "${pname}-${version}";
|
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src = fetchurl {
|
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url = "https://storage.googleapis.com/tensorflow/${pname}/${pname}-${tfType}-${system}-${version}.tar.gz";
|
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sha256 =
|
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if system == "linux-x86_64" then
|
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if cudaSupport
|
||||
then "1q3mh06x344im25z7r3vgrfksfdsi8fh8ldn6y2mf86h4d11yxc3"
|
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else "0l9ps115ng5ffzdwphlqmj3jhidps2v5afppdzrbpzmy41xz0z21"
|
||||
else if system == "darwin-x86_64" then
|
||||
if cudaSupport
|
||||
then unavailable
|
||||
else "1qj0v1706w6mczycdsh38h2glyv5d25v62kdn98wxd5rw8f9v657"
|
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else unavailable;
|
||||
};
|
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|
||||
# Patch library to use our libc, libstdc++ and others
|
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buildCommand = ''
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. $stdenv/setup
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mkdir -pv $out
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tar -C $out -xzf $src
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chmod +w $out/lib/libtensorflow.so
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chmod +w $out/lib/libtensorflow_framework.so
|
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${patchLibs}
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chmod -w $out/lib/libtensorflow.so
|
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chmod -w $out/lib/libtensorflow_framework.so
|
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|
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# Write pkgconfig file.
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mkdir $out/lib/pkgconfig
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cat > $out/lib/pkgconfig/tensorflow.pc << EOF
|
||||
Name: TensorFlow
|
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Version: ${version}
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Description: Library for computation using data flow graphs for scalable machine learning
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Requires:
|
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Libs: -L$out/lib -ltensorflow
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Cflags: -I$out/include/tensorflow
|
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EOF
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'';
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meta = {
|
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description = "C API for TensorFlow";
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homepage = https://www.tensorflow.org/versions/master/install/install_c;
|
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license = licenses.asl20;
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platforms = with platforms; linux ++ darwin;
|
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maintainers = [maintainers.basvandijk];
|
||||
};
|
||||
}
|
|
@ -0,0 +1,72 @@
|
|||
{ stdenv
|
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, fetchurl
|
||||
, patchelf
|
||||
, cudaSupport ? false, symlinkJoin, cudatoolkit, cudnn, nvidia_x11
|
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}:
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|
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with stdenv.lib;
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let
|
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unavailable = throw "libtensorflow is not available for this platform!";
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|
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tfType = if cudaSupport then "gpu" else "cpu";
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|
||||
system =
|
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if stdenv.isLinux then "linux"
|
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else if stdenv.isDarwin then "darwin"
|
||||
else unavailable;
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||||
|
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platform =
|
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if stdenv.isx86_64 then "x86_64"
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else unavailable;
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|
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rpath = makeLibraryPath ([stdenv.cc.libc stdenv.cc.cc.lib] ++
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optionals cudaSupport [ cudatoolkit.out cudatoolkit.lib cudnn nvidia_x11 ]);
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|
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packages = import ./binary-hashes.nix;
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packageName = "${tfType}-${system}-${platform}";
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url = packages.${packageName} or unavailable;
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patchLibs =
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if stdenv.isDarwin
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then ''
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install_name_tool -id $out/lib/libtensorflow.dylib $out/lib/libtensorflow.dylib
|
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install_name_tool -id $out/lib/libtensorflow_framework.dylib $out/lib/libtensorflow_framework.dylib
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''
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else ''
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patchelf --set-rpath "${rpath}:$out/lib" $out/lib/libtensorflow.so
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patchelf --set-rpath "${rpath}" $out/lib/libtensorflow_framework.so
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'';
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|
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in stdenv.mkDerivation rec {
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pname = "libtensorflow";
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inherit (packages) version;
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|
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src = fetchurl url;
|
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|
||||
# Patch library to use our libc, libstdc++ and others
|
||||
buildCommand = ''
|
||||
mkdir -pv $out
|
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tar -C $out -xzf $src
|
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chmod -R +w $out
|
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${patchLibs}
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|
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# Write pkgconfig file.
|
||||
mkdir $out/lib/pkgconfig
|
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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
|
||||
'';
|
||||
|
||||
meta = {
|
||||
description = "C API for TensorFlow";
|
||||
homepage = https://www.tensorflow.org/install/lang_c;
|
||||
license = licenses.asl20;
|
||||
platforms = [ "x86_64-linux" "x86_64-darwin" ];
|
||||
maintainers = with maintainers; [ basvandijk ];
|
||||
};
|
||||
}
|
|
@ -0,0 +1,15 @@
|
|||
{
|
||||
version = "1.14.0";
|
||||
"cpu-linux-x86_64" = {
|
||||
url = "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-linux-x86_64-1.14.0.tar.gz";
|
||||
sha256 = "04bi3ijq4sbb8c5vk964zlv0j9mrjnzzxd9q9knq3h273nc1a36k";
|
||||
};
|
||||
"gpu-linux-x86_64" = {
|
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url = "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-gpu-linux-x86_64-1.14.0.tar.gz";
|
||||
sha256 = "1ffnpyj9jjgwxpjfiyjvq4dm3n6nwiksim5jld9zw7fdswh215x6";
|
||||
};
|
||||
"cpu-darwin-x86_64" = {
|
||||
url = "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-darwin-x86_64-1.14.0.tar.gz";
|
||||
sha256 = "0zsd5ils1a17j6jzh0c7q1z56fw46gkzybbnms7h2rgg8al0rh92";
|
||||
};
|
||||
}
|
|
@ -0,0 +1,24 @@
|
|||
#!/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" "darwin"; do
|
||||
for tfpref in "cpu" "gpu"; do
|
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for platform in "x86_64"; do
|
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if [ $sys = "darwin" ] && [ $tfpref = "gpu" ]; then
|
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continue
|
||||
fi
|
||||
url=https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-$tfpref-$sys-$platform-$version.tar.gz
|
||||
hash=$(nix-prefetch-url $url)
|
||||
echo "\"${tfpref}-${sys}-${platform}\" = {" >> $hashfile
|
||||
echo " url = \"$url\";" >> $hashfile
|
||||
echo " sha256 = \"$hash\";" >> $hashfile
|
||||
echo "};" >> $hashfile
|
||||
done
|
||||
done
|
||||
done
|
||||
echo "}" >> $hashfile
|
||||
|
|
@ -35,15 +35,19 @@
|
|||
assert cudaSupport -> cudatoolkit != null
|
||||
&& cudnn != null
|
||||
&& nvidia_x11 != null;
|
||||
|
||||
# unsupported combination
|
||||
assert ! (stdenv.isDarwin && cudaSupport);
|
||||
|
||||
let
|
||||
cudatoolkit_joined = symlinkJoin {
|
||||
name = "unsplit_cudatoolkit";
|
||||
paths = [ cudatoolkit.out
|
||||
cudatoolkit.lib ];};
|
||||
packages = import ./binary-hashes.nix;
|
||||
|
||||
variant = if cudaSupport then "-gpu" else "";
|
||||
pname = "tensorflow${variant}";
|
||||
|
||||
in buildPythonPackage rec {
|
||||
pname = "tensorflow";
|
||||
version = "1.14.0";
|
||||
inherit pname;
|
||||
inherit (packages) version;
|
||||
format = "wheel";
|
||||
|
||||
src = let
|
||||
|
@ -52,8 +56,7 @@ in buildPythonPackage rec {
|
|||
platform = if stdenv.isDarwin then "mac" else "linux";
|
||||
unit = if cudaSupport then "gpu" else "cpu";
|
||||
key = "${platform}_py_${pyver}_${unit}";
|
||||
dls = import (./. + "/tf${version}-hashes.nix");
|
||||
in fetchurl dls.${key};
|
||||
in fetchurl packages.${key};
|
||||
|
||||
propagatedBuildInputs = [
|
||||
protobuf
|
||||
|
@ -86,9 +89,9 @@ in buildPythonPackage rec {
|
|||
# patchelf --shrink-rpath will remove the cuda libraries.
|
||||
postFixup = let
|
||||
rpath = stdenv.lib.makeLibraryPath
|
||||
([ stdenv.cc.cc.lib zlib ] ++ lib.optionals cudaSupport [ cudatoolkit_joined cudnn nvidia_x11 ]);
|
||||
([ stdenv.cc.cc.lib zlib ] ++ lib.optionals cudaSupport [ cudatoolkit.out cudatoolkit.lib cudnn nvidia_x11 ]);
|
||||
in
|
||||
lib.optionalString (stdenv.isLinux) ''
|
||||
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 \( -name '*.so' -or -name '*.so.*' \) -exec patchelf --set-rpath "$rrPath" {} \;
|
||||
|
@ -100,7 +103,7 @@ in buildPythonPackage rec {
|
|||
homepage = http://tensorflow.org;
|
||||
license = licenses.asl20;
|
||||
maintainers = with maintainers; [ jyp abbradar ];
|
||||
platforms = with platforms; linux ++ lib.optionals (!cudaSupport) darwin;
|
||||
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;
|
||||
|
|
|
@ -1,4 +1,5 @@
|
|||
{
|
||||
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";
|
|
@ -1,9 +1,16 @@
|
|||
{ stdenv, buildBazelPackage, lib, fetchFromGitHub, fetchpatch, symlinkJoin
|
||||
, buildPythonPackage, isPy3k, pythonOlder, pythonAtLeast
|
||||
, which, swig, binutils, glibcLocales
|
||||
, python, jemalloc, openmpi
|
||||
, numpy, six, protobuf, tensorflow-tensorboard, backports_weakref, mock, enum34, absl-py
|
||||
, cudaSupport ? false, nvidia_x11 ? null, cudatoolkit ? null, cudnn ? null
|
||||
{ stdenv, pkgs, buildBazelPackage, lib, fetchFromGitHub, fetchpatch, symlinkJoin
|
||||
# Python deps
|
||||
, buildPythonPackage, isPy3k, pythonOlder, pythonAtLeast, python
|
||||
# Python libraries
|
||||
, numpy, tensorflow-tensorboard, backports_weakref, mock, enum34, absl-py
|
||||
, future, setuptools, wheel, keras-preprocessing, keras-applications, google-pasta
|
||||
, termcolor, grpcio, six, wrapt, protobuf, tensorflow-estimator
|
||||
# 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
|
||||
, cudaSupport ? false, nvidia_x11 ? null, cudatoolkit ? null, cudnn ? null, nccl ? null
|
||||
# XLA without CUDA is broken
|
||||
, xlaSupport ? cudaSupport
|
||||
# Default from ./configure script
|
||||
|
@ -21,128 +28,333 @@ assert cudaSupport -> nvidia_x11 != null
|
|||
assert ! (stdenv.isDarwin && cudaSupport);
|
||||
|
||||
let
|
||||
|
||||
withTensorboard = pythonOlder "3.6";
|
||||
|
||||
cudatoolkit_joined = symlinkJoin {
|
||||
name = "${cudatoolkit.name}-unsplit";
|
||||
name = "${cudatoolkit.name}-merged";
|
||||
paths = [ cudatoolkit.out cudatoolkit.lib ];
|
||||
};
|
||||
|
||||
cudatoolkit_cc_joined = symlinkJoin {
|
||||
name = "${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 = "1.5.0";
|
||||
version = "1.14.0";
|
||||
variant = if cudaSupport then "-gpu" else "";
|
||||
pname = "tensorflow${variant}";
|
||||
|
||||
pkg = buildBazelPackage rec {
|
||||
name = "tensorflow-build-${version}";
|
||||
# TODO: remove after there's support for setupPyDistFlags
|
||||
setuppy = ../../../development/interpreters/python/run_setup.py;
|
||||
|
||||
bazel-build = buildBazelPackage rec {
|
||||
name = "${pname}-${version}";
|
||||
|
||||
src = fetchFromGitHub {
|
||||
owner = "tensorflow";
|
||||
repo = "tensorflow";
|
||||
rev = "v${version}";
|
||||
sha256 = "1c4djsaip901nasm7a6dsimr02bsv70a7b1g0kysb4n39qpdh22q";
|
||||
sha256 = "06jvwlsm14b8rqwd8q8796r0vmn0wk64s4ps2zg0sapkmp9vvcmi";
|
||||
};
|
||||
|
||||
patches = [
|
||||
# Fix build with Bazel >= 0.10
|
||||
# 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 {
|
||||
url = "https://github.com/tensorflow/tensorflow/commit/6fcfab770c2672e2250e0f5686b9545d99eb7b2b.patch";
|
||||
sha256 = "0p61za1mx3a7gj1s5lsps16fcw18iwnvq2b46v1kyqfgq77a12vb";
|
||||
name = "fix-compile-with-cuda-and-mpi.patch";
|
||||
url = "https://github.com/tensorflow/tensorflow/pull/29673/commits/498e35a3bfe38dd75cf1416a1a23c07c3b59e6af.patch";
|
||||
sha256 = "1m2qmwv1ysqa61z6255xggwbq6mnxbig749bdvrhnch4zydxb4di";
|
||||
})
|
||||
|
||||
# https://github.com/tensorflow/tensorflow/issues/29220
|
||||
(fetchpatch {
|
||||
url = "https://github.com/tensorflow/tensorflow/commit/3f57956725b553d196974c9ad31badeb3eabf8bb.patch";
|
||||
sha256 = "11dja5gqy0qw27sc9b6yw9r0lfk8dznb32vrqqfcnypk2qmv26va";
|
||||
name = "bazel-0.27.patch";
|
||||
url = "https://github.com/tensorflow/tensorflow/commit/cfccbdb8c4a92dd26382419dceb4d934c2380391.patch";
|
||||
sha256 = "1l56wjia2c4685flsfkkgy471wx3c66wyv8khspv06zchj0k0liw";
|
||||
})
|
||||
];
|
||||
|
||||
nativeBuildInputs = [ swig which ];
|
||||
# On update, it can be useful to steal the changes from gentoo
|
||||
# https://gitweb.gentoo.org/repo/gentoo.git/tree/sci-libs/tensorflow
|
||||
|
||||
buildInputs = [ python jemalloc openmpi glibcLocales numpy ]
|
||||
++ lib.optionals cudaSupport [ cudatoolkit cudnn nvidia_x11 ];
|
||||
nativeBuildInputs = [
|
||||
swig which cython
|
||||
];
|
||||
|
||||
preConfigure = ''
|
||||
buildInputs = [
|
||||
python
|
||||
jemalloc
|
||||
openmpi
|
||||
glibcLocales
|
||||
git
|
||||
|
||||
# python deps needed during wheel build time
|
||||
numpy
|
||||
keras-preprocessing
|
||||
protobuf
|
||||
wrapt
|
||||
gast
|
||||
astor
|
||||
absl-py
|
||||
termcolor
|
||||
keras-applications
|
||||
|
||||
# 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
|
||||
|
||||
# for building the wheel
|
||||
setuptools
|
||||
wheel
|
||||
] ++ lib.optionals (!isPy3k) [
|
||||
future
|
||||
mock
|
||||
] ++ lib.optionals cudaSupport [
|
||||
cudatoolkit
|
||||
cudnn
|
||||
nvidia_x11
|
||||
];
|
||||
|
||||
|
||||
# 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_google_protobuf_cc"
|
||||
"com_googlesource_code_re2"
|
||||
"curl"
|
||||
"cython"
|
||||
"double_conversion"
|
||||
"flatbuffers"
|
||||
"gast_archive"
|
||||
"gif_archive"
|
||||
"grpc"
|
||||
"hwloc"
|
||||
"icu"
|
||||
"jpeg"
|
||||
"jsoncpp_git"
|
||||
"keras_applications_archive"
|
||||
"lmdb"
|
||||
"nasm"
|
||||
# "nsync" # not packaged in nixpkgs
|
||||
"org_sqlite"
|
||||
"pasta"
|
||||
"pcre"
|
||||
"png_archive"
|
||||
"protobuf_archive"
|
||||
"six_archive"
|
||||
"snappy"
|
||||
"swig"
|
||||
"termcolor_archive"
|
||||
"wrapt"
|
||||
"zlib_archive"
|
||||
];
|
||||
|
||||
INCLUDEDIR = "${includes_joined}/include";
|
||||
|
||||
PYTHON_BIN_PATH = python.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";
|
||||
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
|
||||
'';
|
||||
|
||||
preConfigure = let
|
||||
opt_flags = []
|
||||
++ lib.optionals sse42Support ["-msse4.2"]
|
||||
++ lib.optionals avx2Support ["-mavx2"]
|
||||
++ lib.optionals fmaSupport ["-mfma"];
|
||||
in ''
|
||||
patchShebangs configure
|
||||
|
||||
export PYTHON_BIN_PATH="${python.interpreter}"
|
||||
export PYTHON_LIB_PATH="$NIX_BUILD_TOP/site-packages"
|
||||
export TF_NEED_GCP=1
|
||||
export TF_NEED_HDFS=1
|
||||
export TF_ENABLE_XLA=${tfFeature xlaSupport}
|
||||
export CC_OPT_FLAGS=" "
|
||||
# https://github.com/tensorflow/tensorflow/issues/14454
|
||||
export TF_NEED_MPI=${tfFeature cudaSupport}
|
||||
export TF_NEED_CUDA=${tfFeature cudaSupport}
|
||||
${lib.optionalString cudaSupport ''
|
||||
export CUDA_TOOLKIT_PATH=${cudatoolkit_joined}
|
||||
export TF_CUDA_VERSION=${cudatoolkit.majorVersion}
|
||||
export CUDNN_INSTALL_PATH=${cudnn}
|
||||
export TF_CUDNN_VERSION=${cudnn.majorVersion}
|
||||
export GCC_HOST_COMPILER_PATH=${cudatoolkit.cc}/bin/gcc
|
||||
export TF_CUDA_COMPUTE_CAPABILITIES=${lib.concatStringsSep "," cudaCapabilities}
|
||||
''}
|
||||
# dummy ldconfig
|
||||
mkdir dummy-ldconfig
|
||||
echo "#!${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"
|
||||
'';
|
||||
|
||||
NIX_LDFLAGS = lib.optionals cudaSupport [ "-lcublas" "-lcudnn" "-lcuda" "-lcudart" ];
|
||||
configurePhase = ''
|
||||
runHook preConfigure
|
||||
./configure
|
||||
runHook postConfigure
|
||||
'';
|
||||
|
||||
hardeningDisable = [ "all" ];
|
||||
# FIXME: Tensorflow uses dlopen() for CUDA libraries.
|
||||
# No idea why gpr isn't linked properly; perhaps Tensorflow expects a static library?
|
||||
NIX_LDFLAGS = [ "-lgpr" ] ++ lib.optionals cudaSupport [ "-lcudart" "-lcublas" "-lcufft" "-lcurand" "-lcusolver" "-lcusparse" "-lcudnn" ];
|
||||
|
||||
bazelFlags = [ "--config=opt" ]
|
||||
++ lib.optional sse42Support "--copt=-msse4.2"
|
||||
++ lib.optional avx2Support "--copt=-mavx2"
|
||||
++ lib.optional fmaSupport "--copt=-mfma"
|
||||
++ lib.optional cudaSupport "--config=cuda";
|
||||
hardeningDisable = [ "format" ];
|
||||
|
||||
bazelTarget = "//tensorflow/tools/pip_package:build_pip_package";
|
||||
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
|
||||
];
|
||||
|
||||
bazelTarget = "//tensorflow/tools/pip_package:build_pip_package //tensorflow/tools/lib_package:libtensorflow";
|
||||
|
||||
fetchAttrs = {
|
||||
preInstall = ''
|
||||
rm -rf $bazelOut/external/{bazel_tools,\@bazel_tools.marker,local_*,\@local_*}
|
||||
'';
|
||||
|
||||
sha256 = "1nc98aqrp14q7llypcwaa0kdn9xi7r0p1mnd3vmmn1m299py33ca";
|
||||
# cudaSupport causes fetch of ncclArchive, resulting in different hashes
|
||||
sha256 = if cudaSupport then
|
||||
"1rbzvir569ch33bpvm47byx954vr80rjnzrbgs4rg3bqww73hr3k"
|
||||
else
|
||||
"1wnhma450zh72raiq7ddd9lyq3a056cjqiy6i7y4sidiy09ncvcg";
|
||||
};
|
||||
|
||||
buildAttrs = {
|
||||
outputs = [ "out" "python" ];
|
||||
|
||||
preBuild = ''
|
||||
patchShebangs .
|
||||
find -type f -name CROSSTOOL\* -exec sed -i \
|
||||
-e 's,/usr/bin/ar,${binutils.bintools}/bin/ar,g' \
|
||||
{} \;
|
||||
'';
|
||||
|
||||
installPhase = ''
|
||||
sed -i 's,.*bdist_wheel.*,cp -rL . "$out"; exit 0,' bazel-bin/tensorflow/tools/pip_package/build_pip_package
|
||||
bazel-bin/tensorflow/tools/pip_package/build_pip_package $PWD/dist
|
||||
mkdir -p "$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"
|
||||
'';
|
||||
};
|
||||
|
||||
dontFixup = true;
|
||||
};
|
||||
|
||||
in buildPythonPackage rec {
|
||||
pname = "tensorflow";
|
||||
inherit version;
|
||||
inherit version pname;
|
||||
|
||||
src = pkg;
|
||||
src = bazel-build.python;
|
||||
|
||||
installFlags = lib.optional (!withTensorboard) "--no-dependencies";
|
||||
|
||||
postPatch = lib.optionalString (pythonAtLeast "3.4") ''
|
||||
sed -i '/enum34/d' setup.py
|
||||
# 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
|
||||
'';
|
||||
|
||||
propagatedBuildInputs = [ numpy six protobuf absl-py ]
|
||||
++ lib.optional (!isPy3k) mock
|
||||
++ lib.optionals (pythonOlder "3.4") [ backports_weakref enum34 ]
|
||||
++ lib.optional withTensorboard tensorflow-tensorboard;
|
||||
# TODO: remove after there's support for setupPyDistFlags
|
||||
buildPhase = ''
|
||||
runHook preBuild
|
||||
cp ${setuppy} nix_run_setup
|
||||
${python.interpreter} nix_run_setup --project_name ${pname} bdist_wheel
|
||||
runHook postBuild
|
||||
'';
|
||||
|
||||
# tensorflow/tools/pip_package/setup.py
|
||||
propagatedBuildInputs = [
|
||||
absl-py
|
||||
astor
|
||||
gast
|
||||
google-pasta
|
||||
keras-applications
|
||||
keras-preprocessing
|
||||
numpy
|
||||
six
|
||||
protobuf
|
||||
tensorflow-estimator
|
||||
termcolor
|
||||
wrapt
|
||||
grpcio
|
||||
] ++ lib.optionals (!isPy3k) [
|
||||
mock
|
||||
future # FIXME
|
||||
] ++ lib.optionals (pythonOlder "3.4") [
|
||||
backports_weakref enum34
|
||||
] ++ lib.optionals withTensorboard [
|
||||
tensorflow-tensorboard
|
||||
];
|
||||
|
||||
# Actual tests are slow and impure.
|
||||
# TODO try to run them anyway
|
||||
# TODO better test (files in tensorflow/tools/ci_build/builds/*test)
|
||||
checkPhase = ''
|
||||
${python.interpreter} -c "import tensorflow"
|
||||
'';
|
||||
|
||||
passthru.libtensorflow = bazel-build.out;
|
||||
|
||||
meta = with stdenv.lib; {
|
||||
description = "Computation using data flow graphs for scalable machine learning";
|
||||
homepage = http://tensorflow.org;
|
||||
|
|
|
@ -0,0 +1,14 @@
|
|||
diff --git a/tensorflow/cc/saved_model/BUILD b/tensorflow/cc/saved_model/BUILD
|
||||
index 8626ed0087..27deb34387 100644
|
||||
--- a/tensorflow/cc/saved_model/BUILD
|
||||
+++ b/tensorflow/cc/saved_model/BUILD
|
||||
@@ -49,9 +49,6 @@ cc_library(
|
||||
# tf_lib depending on the build platform.
|
||||
"//tensorflow/core:lib",
|
||||
"//tensorflow/core:protos_all_cc",
|
||||
- ]) + if_mobile([
|
||||
- # Mobile-friendly SavedModel proto. See go/portable-proto for more info.
|
||||
- "//tensorflow/core:saved_model_portable_proto",
|
||||
]) + if_android([
|
||||
"//tensorflow/core:android_tensorflow_lib",
|
||||
]) + if_ios([
|
|
@ -1,7 +1,10 @@
|
|||
#!/usr/bin/env bash
|
||||
|
||||
version=1.14.0
|
||||
hashfile=tf${version}-hashes.nix
|
||||
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
|
||||
|
|
|
@ -0,0 +1,21 @@
|
|||
diff --git a/third_party/systemlibs/jsoncpp.BUILD b/third_party/systemlibs/jsoncpp.BUILD
|
||||
index 526fd0c418..646f3fdcea 100644
|
||||
--- a/third_party/systemlibs/jsoncpp.BUILD
|
||||
+++ b/third_party/systemlibs/jsoncpp.BUILD
|
||||
@@ -7,6 +7,7 @@ filegroup(
|
||||
|
||||
HEADERS = [
|
||||
"include/json/autolink.h",
|
||||
+ "include/json/allocator.h",
|
||||
"include/json/config.h",
|
||||
"include/json/features.h",
|
||||
"include/json/forwards.h",
|
||||
@@ -23,7 +24,7 @@ genrule(
|
||||
cmd = """
|
||||
for i in $(OUTS); do
|
||||
i=$${i##*/}
|
||||
- ln -sf $(INCLUDEDIR)/jsoncpp/json/$$i $(@D)/include/json/$$i
|
||||
+ ln -sf $(INCLUDEDIR)/json/$$i $(@D)/include/json/$$i
|
||||
done
|
||||
""",
|
||||
)
|
|
@ -1093,12 +1093,18 @@ in
|
|||
|
||||
tensor = libsForQt5.callPackage ../applications/networking/instant-messengers/tensor { };
|
||||
|
||||
libtensorflow = callPackage ../development/libraries/libtensorflow {
|
||||
libtensorflow-bin = callPackage ../development/libraries/science/math/tensorflow/bin.nix {
|
||||
cudaSupport = pkgs.config.cudaSupport or false;
|
||||
inherit (linuxPackages) nvidia_x11;
|
||||
cudatoolkit = cudatoolkit_9_0;
|
||||
cudnn = cudnn_cudatoolkit_9_0;
|
||||
cudatoolkit = cudatoolkit_10_0;
|
||||
cudnn = cudnn_cudatoolkit_10_0;
|
||||
};
|
||||
|
||||
libtensorflow =
|
||||
if python.pkgs.tensorflow ? libtensorflow
|
||||
then python.pkgs.tensorflow.libtensorflow
|
||||
else libtensorflow-bin;
|
||||
|
||||
behdad-fonts = callPackage ../data/fonts/behdad-fonts { };
|
||||
|
||||
blink1-tool = callPackage ../tools/misc/blink1-tool { };
|
||||
|
|
|
@ -5700,15 +5700,22 @@ in {
|
|||
|
||||
tensorflow-tensorboard = callPackage ../development/python-modules/tensorflow-tensorboard { };
|
||||
|
||||
tensorflow =
|
||||
if stdenv.isDarwin
|
||||
then callPackage ../development/python-modules/tensorflow/bin.nix { }
|
||||
else callPackage ../development/python-modules/tensorflow/bin.nix rec {
|
||||
cudaSupport = pkgs.config.cudaSupport or false;
|
||||
inherit (pkgs.linuxPackages) nvidia_x11;
|
||||
cudatoolkit = pkgs.cudatoolkit_10_0;
|
||||
cudnn = pkgs.cudnn_cudatoolkit_10_0;
|
||||
};
|
||||
tensorflow-bin = 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-build = callPackage ../development/python-modules/tensorflow {
|
||||
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;
|
||||
};
|
||||
|
||||
tensorflow = if stdenv.isDarwin then self.tensorflow-bin else self.tensorflow-build;
|
||||
|
||||
tensorflowWithoutCuda = self.tensorflow.override {
|
||||
cudaSupport = false;
|
||||
|
|
Loading…
Reference in New Issue