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cf18101f6d
* 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.
Demos for a few Faiss functionalities
demo_auto_tune.py
Demonstrates the auto-tuning functionality of Faiss
demo_ondisk_ivf.py
Shows how to construct a Faiss index that stores the inverted file data on disk, eg. when it does not fit in RAM. The script works on a small dataset (sift1M) for demonstration and proceeds in stages:
0: train on the dataset
1-4: build 4 indexes, each containing 1/4 of the dataset. This can be done in parallel on several machines
5: merge the 4 indexes into one that is written directly to disk (needs not to fit in RAM)
6: load and test the index