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pythonPackages.tensorflow: 1.11 -> 1.13.1
This commit is contained in:
parent
d1b7ada0ba
commit
1c350dc99e
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@ -14,6 +14,7 @@
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, mock
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, backports_weakref
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, enum34
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, tensorflow-estimator
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, tensorflow-tensorboard
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, cudaSupport ? false
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, cudatoolkit ? null
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@ -41,7 +42,7 @@ let
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in buildPythonPackage rec {
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pname = "tensorflow";
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version = "1.11.0";
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version = "1.13.1";
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format = "wheel";
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src = let
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@ -50,10 +51,10 @@ in buildPythonPackage rec {
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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}_${unit}";
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dls = import ./tf1.11.0-hashes.nix;
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dls = import (./. + "/tf${version}-hashes.nix");
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in fetchurl dls.${key};
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propagatedBuildInputs = [ protobuf numpy termcolor grpcio six astor absl-py gast tensorflow-tensorboard keras-applications keras-preprocessing ]
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propagatedBuildInputs = [ protobuf numpy termcolor grpcio six astor absl-py gast tensorflow-estimator tensorflow-tensorboard keras-applications keras-preprocessing ]
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++ lib.optional (!isPy3k) mock;
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# Upstream has a pip hack that results in bin/tensorboard being in both tensorflow
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@ -64,7 +65,6 @@ in buildPythonPackage rec {
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rm $out/bin/tensorboard
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'';
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installFlags = "--no-dependencies"; # tensorflow wants setuptools 39, can't allow that.
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# Note that we need to run *after* the fixup phase because the
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# libraries are loaded at runtime. If we run in preFixup then
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# patchelf --shrink-rpath will remove the cuda libraries.
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@ -1,4 +1,4 @@
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version=1.11.0
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version=1.13.1
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hashfile=tf${version}-hashes.nix
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rm -f $hashfile
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echo "{" >> $hashfile
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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-1.11.0-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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@ -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-1.13.1-cp27-none-linux_x86_64.whl";
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sha256 = "0y1vd3y5fxcjj5d35qbk8482b0s642nyp0c2sm068vx5wd4sjpcg";
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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-1.13.1-cp35-cp35m-linux_x86_64.whl";
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sha256 = "0b27swk4c2vaimwzbzl4c7xnccr9cfak5a3848lfqlcavcmbp94j";
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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-1.13.1-cp36-cp36m-linux_x86_64.whl";
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sha256 = "087jwjby3bym09z55cjhc587aasf01y6l009p1q2vcpfq7s7ljmk";
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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-1.13.1-cp27-none-linux_x86_64.whl";
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sha256 = "0bf239f2bnsbqs3qh4xdql9pgbsm0zk7j8q1hg0wn0wrq440n0ds";
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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-1.13.1-cp35-cp35m-linux_x86_64.whl";
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sha256 = "1cqav22a8yz6fzk46z6kv1ha2i28h5wccbd7k66drrfxibmb93j0";
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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-1.13.1-cp36-cp36m-linux_x86_64.whl";
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sha256 = "1xnbiz36z7nicqrv0cmymfnwb8mdz2hifcv71gh6gnyi1962f2d7";
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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-1.13.1-py2-none-any.whl";
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sha256 = "1a6y5xj2wqkd8qmabn2xjg3q7x2jfixwrz351dgcxlhy8qy5yc0g";
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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-1.13.1-py3-none-any.whl";
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sha256 = "1klsv18k0isfd61z1wirfz1lnqmx8k73ga8g9s18yand65iycads";
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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-1.7.1-cp27-none-linux_x86_64.whl";
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sha256 = "0p8n5x74qmdv9g63y176xqpfdc1gawzjysn79bvk46knrks3pa2b";
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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-1.7.1-cp35-cp35m-linux_x86_64.whl";
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sha256 = "050qv8fjpnw2y8da7s910jv4nsxg56d3xdpl09jim47kbwqabr5m";
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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-1.7.1-cp36-cp36m-linux_x86_64.whl";
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sha256 = "00d5cij1mh64hh0zc2qfl8z2hpr3nna6lhpsc6qh4am1g7wz4ndn";
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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-1.7.1-cp27-none-linux_x86_64.whl";
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sha256 = "0ami6nlp9cwg631a8f5rfpzpwb9ls9zxhsx61cimw46xljx3l2b5";
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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-1.7.1-cp35-cp35m-linux_x86_64.whl";
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sha256 = "1xfc8dww52fy8g4b0j8r20q7yj2bfg20hlk9p7sk3k9z8swfw0kc";
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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-1.7.1-cp36-cp36m-linux_x86_64.whl";
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sha256 = "1kkqx8m7h03b8l9l6dki4g4r7sgi3wbb4dp9gvk6l08n4vnlvc50";
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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-1.7.1-py2-none-any.whl";
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sha256 = "1icbsvvwkkc09s6bdd43drvnhc6v6xmnqwjzipgc8rmpj1z71yz5";
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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-1.7.1-py3-none-any.whl";
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sha256 = "0s5dy956jvwazqflc90v15i912zvhwsbzlf0cl8k7isq52j6g3kp";
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};
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}
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@ -5064,8 +5064,8 @@ in {
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else callPackage ../development/python-modules/tensorflow/bin.nix rec {
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cudaSupport = pkgs.config.cudaSupport or false;
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inherit (pkgs.linuxPackages) nvidia_x11;
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cudatoolkit = pkgs.cudatoolkit_9_0;
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cudnn = pkgs.cudnn_cudatoolkit_9_0;
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cudatoolkit = pkgs.cudatoolkit_10_0;
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cudnn = pkgs.cudnn_cudatoolkit_10_0;
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});
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tensorflowWithoutCuda = self.tensorflow.override {
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