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tensorflowCuDNN -> tensorflowWithCuda
and move expression
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{ stdenv | ||
, fetchurl | ||
, buildPythonPackage | ||
, swig | ||
, numpy | ||
, six | ||
, protobuf3_0 | ||
, cudatoolkit75 | ||
, cudnn5_cudatoolkit75 | ||
, gcc49 | ||
, zlib | ||
, linuxPackages | ||
, mock | ||
}: | ||
|
||
buildPythonPackage rec { | ||
pname = "tensorflow"; | ||
version = "0.11.0rc0"; | ||
name = "${pname}-${version}"; | ||
format = "wheel"; | ||
|
||
src = fetchurl { | ||
url = "https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-${version}-cp27-none-linux_x86_64.whl"; | ||
sha256 = "1r8zlz95sw7bnjzg5zdbpa9dj8wmp8cvvgyl9sv3amsscagnnfj5"; | ||
}; | ||
|
||
buildInputs = [ swig ]; | ||
propagatedBuildInputs = [ numpy six protobuf3_0 cudatoolkit75 cudnn5_cudatoolkit75 gcc49 mock ]; | ||
|
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# 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 [ | ||
gcc49.cc.lib | ||
zlib cudatoolkit75 | ||
cudnn5_cudatoolkit75 | ||
linuxPackages.nvidia_x11 | ||
]; | ||
in '' | ||
find $out -name '*.so' -exec patchelf --set-rpath "${rpath}" {} \; | ||
''; | ||
|
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doCheck = false; | ||
|
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meta = with stdenv.lib; { | ||
description = "TensorFlow helps the tensors flow (no gpu support)"; | ||
homepage = http://tensorflow.org; | ||
license = licenses.asl20; | ||
platforms = platforms.linux; | ||
}; | ||
} |
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