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Theano-cuda: init at 0.8.2
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parent
0243ccfbff
commit
465d6a2113
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{ stdenv
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, requireFile
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, cudatoolkit
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}:
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stdenv.mkDerivation rec {
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version = "5.0";
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cudatoolkit_version = "7.5";
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name = "cudatoolkit-${cudatoolkit_version}-cudnn-${version}";
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src = requireFile rec {
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name = "cudnn-${cudatoolkit_version}-linux-x64-v${version}-ga.tgz";
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message = ''
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This nix expression requires that ${name} is already part of the store.
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Register yourself to NVIDIA Accelerated Computing Developer Program, retrieve the cuDNN library
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at https://developer.nvidia.com/cudnn, and run the following command in the download directory:
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nix-prefetch-url file://${name}
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'';
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sha256 = "c4739a00608c3b66a004a74fc8e721848f9112c5cb15f730c1be4964b3a23b3a";
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};
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phases = "unpackPhase installPhase fixupPhase";
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installPhase = ''
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function fixRunPath {
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p=$(patchelf --print-rpath $1)
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patchelf --set-rpath "$p:${stdenv.lib.makeLibraryPath [ stdenv.cc.cc ]}" $1
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}
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fixRunPath lib64/libcudnn.so
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mkdir -p $out
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cp -a include $out/include
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cp -a lib64 $out/lib64
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'';
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propagatedBuildInputs = [
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cudatoolkit
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];
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meta = {
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description = "NVIDIA CUDA Deep Neural Network library (cuDNN)";
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homepage = "https://developer.nvidia.com/cudnn";
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license = stdenv.lib.licenses.unfree;
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};
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}
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62
pkgs/development/python-modules/theano/cuda/default.nix
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62
pkgs/development/python-modules/theano/cuda/default.nix
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{ buildPythonPackage
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, fetchFromGitHub
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, blas
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, numpy
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, six
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, scipy
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, nose
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, nose-parameterized
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, pydot_ng
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, sphinx
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, pygments
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, libgpuarray
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, python
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, pycuda
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, cudatoolkit
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, cudnn
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, stdenv
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}:
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buildPythonPackage rec {
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name = "Theano-cuda-${version}";
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version = "0.8.2";
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src = fetchFromGitHub {
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owner = "Theano";
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repo = "Theano";
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rev = "46fbfeb628220b5e42bf8277a5955c52d153e874";
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sha256 = "1sl91gli3jaw5gpjqqab4fiq4x6282spqciaid1s65pjsf3k55sc";
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};
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doCheck = false;
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patchPhase = ''
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pushd theano/sandbox/gpuarray
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sed -i -re '2s/^/from builtins import bytes\n/g' subtensor.py
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sed -i -re "s/(b'2')/int(bytes(\1))/g" subtensor.py
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sed -i -re "s/(ctx.bin_id\[\-2\])/int(\1)/g" subtensor.py
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sed -i -re '2s/^/from builtins import bytes\n/g' dnn.py
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sed -i -re "s/(b'30')/int(bytes(\1))/g" dnn.py
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sed -i -re "s/(ctx.bin_id\[\-2:\])/int(\1)/g" dnn.py
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popd
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'';
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dontStrip = true;
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propagatedBuildInputs = [
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blas
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numpy
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six
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scipy
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nose
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nose-parameterized
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pydot_ng
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sphinx
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pygments
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pycuda
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cudatoolkit
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libgpuarray
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] ++ (stdenv.lib.optional (cudnn != null) [ cudnn ]);
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}
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@ -1192,6 +1192,10 @@ in
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cudnn = callPackage ../development/libraries/science/math/cudnn/default.nix {};
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cudnn5_cudatoolkit75 = callPackage ../development/libraries/science/math/cudnn/7.5-5.0 {
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cudatoolkit = self.cudatoolkit75;
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};
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curlFull = self.curl.override {
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idnSupport = true;
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ldapSupport = true;
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@ -21029,6 +21029,21 @@ in modules // {
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};
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};
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Theano-cuda = callPackage ../development/python-modules/theano/cuda (
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let
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boost = pkgs.boost159.override {
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inherit (self) python numpy scipy;
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};
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in rec {
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cudatoolkit = pkgs.cudatoolkit75;
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cudnn = pkgs.cudnn5_cudatoolkit75;
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inherit (self) numpy scipy;
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pycuda = self.pycuda.override { inherit boost; };
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libgpuarray = self.libgpuarray-cuda.override {
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clblas = pkgs.clblas-cuda.override { inherit boost; };
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};
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});
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tidylib = buildPythonPackage rec {
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version = "0.2.4";
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name = "pytidylib-${version}";
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