* Refactors Makefiles and add configure script.
* Give MKL higher priority in configure script.
* Clean up Linux example makefile.inc.
* Cleanup makefile.inc examples.
* Fix python clean Makefile target.
* Regen swig wrappers.
* Remove useless CUDAFLAGS variable.
* Fix python linking flags.
* Separate compile and link phase in python makefile.
* Add macro to look for swig.
* Add CUDA check in configure script.
* Cleanup make depend targets.
* Cleanup CUDA flags.
* Fix linking flags.
* Fix python GPU linking.
* Remove useless flags from python gpu module linking.
* Add check for cuda libs.
* Cleanup GPU targets.
* Clean up test target.
* Add cpu/gpu targets to python makefile.
* Clean up tutorial Makefile.
* Remove stale OS var from example makefiles.
* Clean up cuda example flags.
* Docker build from local sources rather than Github cloned sources
* Update INSTALL instructions for docker build from Github repo
* Back to generic makefile.inc.Linux and use of env var in Dockerfile
* Back to generic makefile.inc.Linux and use of env var in Dockerfile
swiggfaiss_wrap.cxx already include <numpy/arrayobject.h>, if compiled with -I/usr/lib64/python2.7/site-packages/numpy/core/include/numpy, file will be searched at /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/numpy/arrayobject.h and will not be found.
* Changing a few settings for MKL on Ubuntu
This is my current configuration for MKL on Ubuntu.
I also corrected the `BLASLDFLAGS=-DFINTEGER=long` line (it should be `BLASCFLAGS`).
* Update makefile.inc.Linux
Tested and documented on MLK 2017.0.098
Lucas Hosseini
Matthijs Douze
Eduardo Pinho
Julieta
Pierre Letessier
Harvey
Laurent Chauvin
Bruno Guberfain do Amaral