%global buildopts BLAS=open BLAS_INCLUDE=%{_includedir}/openblas CPU_ONLY=1

Name:           caffe
Version:        1.0
Release:        2%{?dist}
Summary:        A fast open framework for deep learning

License:        BSD
URL:            http://caffe.berkeleyvision.org/
Source0:        https://github.com/BVLC/caffe/archive/%{version}/%{name}-%{version}.tar.gz

ExcludeArch:    %ix86

BuildRequires:  boost-devel
BuildRequires:  cmake
BuildRequires:  gflags-devel
BuildRequires:  glog-devel
BuildRequires:  hdf5-devel
BuildRequires:  leveldb-devel
BuildRequires:  lmdb-devel
BuildRequires:  openblas-devel
BuildRequires:  opencv-devel
BuildRequires:  protobuf-devel
BuildRequires:  python2-devel
BuildRequires:  snappy-devel

%if 0%{?fedora} >= 24
BuildRequires:  python2-numpy
%else
BuildRequires:  numpy
%endif


%description
Caffe is a deep learning framework made with expression, speed, and modularity
in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and
by community contributors. Yangqing Jia created the project during his PhD at UC
Berkeley.


%package        devel
Summary:        Development files for %{name}
Requires:       %{name}%{?_isa} = %{version}-%{release}


%description    devel
The %{name}-devel package contains libraries and header files for
developing applications that use %{name}.

%package -n python-caffe
Summary: Python bindings for Caffe
Requires: %name%{_isa} = %version-%release
# From distribute/requirements.txt
# Fixme: Probably only right on el7, and maybe can be trimmed through
# transitive requirements
Requires: Cython python2-gflags python-six python-dateutil python-nose
Requires: python-pandas scipy python2-scikit-image python-ipython h5py
Requires: python-matplotlib python-networkx PyYAML python-dateutil
Requires: python-nose python-pandas 


%description -n python-caffe
Python bindings for Caffe.


%prep
%autosetup


%build
cp Makefile.config.example Makefile.config
%make_build %{buildopts} all


%install
%make_build %{buildopts} distribute
mkdir -p %buildroot{%_bindir,%_libdir}
mkdir -p %buildroot%_includedir/{caffe/layers,/caffe/util,/caffe/msgs}
install -p -m755 -D --target-directory %{buildroot}%{_bindir} distribute/bin/*
install -p -m755 -D --target-directory %{buildroot}%{_libdir} distribute/lib/*.so.*
cp -p distribute/lib/*.so %{buildroot}%{_libdir}
install -p -m644 -D --target-directory %{buildroot}%{_includedir}/caffe distribute/include/caffe/*.hpp
install -p -m644 -D --target-directory %{buildroot}%{_includedir}/caffe/layers distribute/include/caffe/layers/*
install -p -m644 -D --target-directory %{buildroot}%{_includedir}/caffe/util distribute/include/caffe/util/*
install -p -m644 -D --target-directory %{buildroot}%{_includedir}/caffe/msgs distribute/proto/*
# Fixme:  Is libexecdir the right place for the .py files which don't look
# specific enough for bindir?
mkdir -p %buildroot%python_sitearch %buildroot%_libexecdir/caffe
cp -a distribute/python/caffe %buildroot%python_sitearch
install -m755 distribute/python/caffe/*.py %buildroot%_libexecdir/caffe


%check
%make_build %{buildopts} runtest

%post -p /sbin/ldconfig

%postun -p /sbin/ldconfig


%files
%license LICENSE
%{_bindir}/*
%{_libdir}/libcaffe.so.1.0.0

%files devel
%{_libdir}/libcaffe.so
%{_includedir}/caffe

%files -n python-caffe
%_libexecdir/caffe
%python_sitearch/caffe


%changelog
* Fri Jan 12 2018 root <root@KNl2.its.manchester.ac.uk> - 1.0-2
- Add python-caffe package

* Thu Jan 11 2018 Dave Love <loveshack@fedoraproject.org> - 1.0-1
- Update to 1.0 and fix installation on el7

* Tue Oct 18 2016 Till Hofmann <till.hofmann@posteo.de> - 1.0.0-0.2.rc3
- Fix numpy dependency for older releases

* Mon Oct 17 2016 Till Hofmann <till.hofmann@posteo.de> - 1.0.0-0.1.rc3
- Initial package