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https://github.com/NixOS/nixpkgs.git
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python.packages.tensorflow: 1.9.0 -> 1.11.0
This commit is contained in:
parent
5fe8bb506c
commit
a8a3928a34
4 changed files with 41 additions and 40 deletions
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@ -22,6 +22,8 @@
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, zlib
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, zlib
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, python
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, python
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, symlinkJoin
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, symlinkJoin
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, keras-applications
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, keras-preprocessing
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}:
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}:
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# We keep this binary build for two reasons:
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# We keep this binary build for two reasons:
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@ -39,7 +41,7 @@ let
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in buildPythonPackage rec {
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in buildPythonPackage rec {
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pname = "tensorflow";
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pname = "tensorflow";
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version = "1.9.0";
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version = "1.11.0";
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format = "wheel";
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format = "wheel";
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src = let
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src = let
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@ -48,12 +50,11 @@ in buildPythonPackage rec {
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platform = if stdenv.isDarwin then "mac" else "linux";
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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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unit = if cudaSupport then "gpu" else "cpu";
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key = "${platform}_py_${pyver}_${unit}";
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key = "${platform}_py_${pyver}_${unit}";
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dls = import ./tf1.9.0-hashes.nix;
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dls = import ./tf1.11.0-hashes.nix;
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in fetchurl dls.${key};
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in fetchurl dls.${key};
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propagatedBuildInputs = [ protobuf numpy termcolor grpcio six astor absl-py gast tensorflow-tensorboard ]
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propagatedBuildInputs = [ protobuf numpy termcolor grpcio six astor absl-py gast tensorflow-tensorboard keras-applications keras-preprocessing ]
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++ lib.optional (!isPy3k) mock
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++ lib.optional (!isPy3k) mock;
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++ lib.optionals (pythonOlder "3.4") [ backports_weakref enum34 ];
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# Upstream has a pip hack that results in bin/tensorboard being in both tensorflow
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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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# and the propageted input tensorflow-tensorboard which causes environment collisions.
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@ -1,4 +1,4 @@
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version=1.9.0
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version=1.11.0
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hashfile=tf${version}-hashes.nix
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hashfile=tf${version}-hashes.nix
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rm -f $hashfile
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rm -f $hashfile
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echo "{" >> $hashfile
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echo "{" >> $hashfile
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@ -0,0 +1,34 @@
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{
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linux_py_27_cpu = {
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url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.11.0-cp27-none-linux_x86_64.whl";
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sha256 = "0s3ar2jzz2m9ilqfl4aigfi4bq8k5n04grnfqy4nyii2y98xjy14";
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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-1.11.0-cp35-cp35m-linux_x86_64.whl";
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sha256 = "0vfw2v033h8wdgjlbwjx2i9fdqqnxxc3r085irq9nzkdmwzw2jl8";
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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-1.11.0-cp36-cp36m-linux_x86_64.whl";
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sha256 = "0zmr5bw3ki5l6jb19h70kmq3k3xnq60jkw6wqqr6par1c7b4i9c3";
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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-1.11.0-cp27-none-linux_x86_64.whl";
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sha256 = "1pcacy4ky7zhq7h7d93s4xp213q1yj2zxn2khlyll389lq0bcbax";
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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-1.11.0-cp35-cp35m-linux_x86_64.whl";
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sha256 = "04ggz7jzbhl41alnj526rp0vz88h68mcv3rbs5pmrwyg0j2cqjz3";
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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-1.11.0-cp36-cp36m-linux_x86_64.whl";
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sha256 = "1ywpq3n51pn7jrr231immi2s6ghdy9s0bnkk7dg4dbbxrisxg33a";
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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-1.11.0-py2-none-any.whl";
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sha256 = "1rjb6gm0spj0l5zl02zsr6x3qagf2khrjw02z7znmsshb5xhsx8j";
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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-1.11.0-py3-none-any.whl";
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sha256 = "16la41a2d29wa4i7h1g32d94g23ixzc3wc69kd9w82w45bwfv4xl";
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};
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}
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@ -1,34 +0,0 @@
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{
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linux_py_27_cpu = {
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url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.9.0-cp27-none-linux_x86_64.whl";
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sha256 = "1dvmajv5ddgzrazdnxpfhk9dkj0lfiviw4jmvk00d4q5v68z6ihg";
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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-1.9.0-cp35-cp35m-linux_x86_64.whl";
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sha256 = "07ilrxbhz9p3xwqhl2p8c40y1gsq68x10f34pzayrvcg2i52bvpv";
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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-1.9.0-cp36-cp36m-linux_x86_64.whl";
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sha256 = "0x2l64ab7i8nr0dzvsryblhn869qyjb85xkhy69nwahqswb68hxl";
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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-1.9.0-cp27-none-linux_x86_64.whl";
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sha256 = "0q7i82jgy0mzn2mw8i1z0pvv7ssi6m7zqkkjg2i4zxpk8djg8k6z";
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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-1.9.0-cp35-cp35m-linux_x86_64.whl";
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sha256 = "0nhq2s8fanm095x1sc9h40dvqcv9bc2aj47crv3c2sajbj7dn43g";
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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-1.9.0-cp36-cp36m-linux_x86_64.whl";
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sha256 = "1m4b9cd8ghghqxaqrlzq7j9499ddidgr78bx0c20pgyrzg38jiz1";
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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-1.9.0-py2-none-any.whl";
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sha256 = "1djj0xahzrmxhfc6kyjx1lkyfh7jhq3ix0gz9j3iq4smb3ca9z01";
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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-1.9.0-py3-none-any.whl";
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sha256 = "0igffy7r0d8mhkn4pybp19jmc25alfpfl4k4fxh2s3rvgii8gk22";
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};
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}
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