nixpkgs/pkgs/development/python-modules/Theano/default.nix

83 lines
2.3 KiB
Nix

{ stdenv
, lib
, fetchPypi
, gcc
, writeScriptBin
, buildPythonPackage
, isPyPy
, pythonOlder
, isPy3k
, nose
, numpy
, pydot_ng
, scipy
, six
, libgpuarray
, cudaSupport ? false, cudatoolkit
, cudnnSupport ? false, cudnn
, nvidia_x11
}:
assert cudnnSupport -> cudaSupport;
assert cudaSupport -> nvidia_x11 != null
&& cudatoolkit != null
&& cudnn != null;
let
extraFlags =
lib.optionals cudaSupport [ "-I ${cudatoolkit}/include" "-L ${cudatoolkit}/lib" ]
++ lib.optionals cudnnSupport [ "-I ${cudnn}/include" "-L ${cudnn}/lib" ]
++ lib.optionals cudaSupport [ "-I ${libgpuarray}/include" "-L ${libgpuarray}/lib" ];
gcc_ = writeScriptBin "g++" ''
#!${stdenv.shell}
export NIX_CC_WRAPPER_${stdenv.cc.infixSalt}_TARGET_HOST=1
export NIX_CFLAGS_COMPILE="$NIX_CFLAGS_COMPILE ${toString extraFlags}"
exec ${gcc}/bin/g++ "$@"
'';
libgpuarray_ = libgpuarray.override { inherit cudaSupport; };
in buildPythonPackage rec {
name = "${pname}-${version}";
pname = "Theano";
version = "1.0.1";
disabled = isPyPy || pythonOlder "2.6" || (isPy3k && pythonOlder "3.3");
src = fetchPypi {
inherit pname version;
sha256 = "88d8aba1fe2b6b75eacf455d01bc7e31e838c5a0fb8c13dde2d9472495ff4662";
};
postPatch = ''
sed -i 's,g++,${gcc_}/bin/g++,g' theano/configdefaults.py
'' + lib.optionalString cudnnSupport ''
sed -i \
-e "s,ctypes.util.find_library('cudnn'),'${cudnn}/lib/libcudnn.so',g" \
-e "s/= _dnn_check_compile()/= (True, None)/g" \
theano/gpuarray/dnn.py
'';
preCheck = ''
mkdir -p check-phase
export HOME=$(pwd)/check-phase
'';
doCheck = false;
# takes far too long, also throws "TypeError: sort() missing 1 required positional argument: 'a'"
# when run from the installer, and testing with Python 3.5 hits github.com/Theano/Theano/issues/4276,
# the fix for which hasn't been merged yet.
# keep Nose around since running the tests by hand is possible from Python or bash
checkInputs = [ nose ];
propagatedBuildInputs = [ numpy numpy.blas scipy six libgpuarray_ ];
meta = with stdenv.lib; {
homepage = http://deeplearning.net/software/theano/;
description = "A Python library for large-scale array computation";
license = licenses.bsd3;
maintainers = with maintainers; [ maintainers.bcdarwin ];
};
}