Summary:
Pull Request resolved: https://github.com/facebookresearch/faiss/pull/1432
The contrib function knn_ground_truth does not provide exactly the same resutls on GPU and CPU (but relative accuracy is still 1e-7). This diff relaxes the constraint on CPU and added test on GPU.
Reviewed By: wickedfoo
Differential Revision: D24012199
fbshipit-source-id: aaa20dbdf42b876b3ed7da34028646dbb20833d3
Summary:
This diff fixes https://github.com/facebookresearch/faiss/issues/1412
There were various inconsistencies in how the shard and replica wrappers updated their internal state as the sub-indices were updated. This makes the two container classes work in the same way with similar synchronization functionality.
Reviewed By: beauby
Differential Revision: D23974186
fbshipit-source-id: c688c0c9124f823e4239aa2ff617b007b4564859
Summary:
This diff adds an object for a few useful dataset in faiss.contrib.
This includes synthetic datasets and the classic ones.
It is intended to work on:
- the FAIR cluster
- gluster
- manifold
Reviewed By: wickedfoo
Differential Revision: D23378763
fbshipit-source-id: 2437a7be9e712fd5ad1bccbe523cc1c936f7ab35
Summary:
`long` is 32 bits on windows and so is the default int type for numpy (eg. the one used for `np.arange`).
This diff explicitly specifies 64-bit ints for all occurrences where it matters.
Pull Request resolved: https://github.com/facebookresearch/faiss/pull/1381
Reviewed By: wickedfoo
Differential Revision: D23371232
Pulled By: mdouze
fbshipit-source-id: 220262cd70ee70379f83de93561a4eae71c94b04
Bugfixes:
- slow scanning of inverted lists (#836).
Features:
- add basic support for 6 new metrics in CPU `IndexFlat` and `IndexHNSW` (#848);
- add support for `IndexIDMap`/`IndexIDMap2` with binary indexes (#780).
Misc:
- throw python exception for OOM (#758);
- make `DistanceComputer` available for all random access indexes;
- gradually moving from `long` to `int64_t` for portability.
Changelog:
- changed license: BSD+Patents -> MIT
- propagates exceptions raised in sub-indexes of IndexShards and IndexReplicas
- support for searching several inverted lists in parallel (parallel_mode != 0)
- better support for PQ codes where nbit != 8 or 16
- IVFSpectralHash implementation: spectral hash codes inside an IVF
- 6-bit per component scalar quantizer (4 and 8 bit were already supported)
- combinations of inverted lists: HStackInvertedLists and VStackInvertedLists
- configurable number of threads for OnDiskInvertedLists prefetching (including 0=no prefetch)
- more test and demo code compatible with Python 3 (print with parentheses)
- refactored benchmark code: data loading is now in a single file
+ Add conda packages metadata (now building Faiss using conda's toolchain);
+ add Dockerfile for building conda packages (for all CUDA versions);
+ add working Dockerfile building faiss on Centos7;
+ simplify GPU build;
+ avoid falling back to CPU-only version (python);
+ simplify TravisCI config;
+ update INSTALL.md;
+ add configure flag for specifying target architectures (--with-cuda-arch);
+ fix Makefile for gpu tests;
+ fix various Makefile issues;
+ remove stale file (gpu/utils/DeviceUtils.cpp).
Facebook sync (Mar 2019)
- MatrixStats object
- option to round coordinates during k-means optimization
- alternative option for search in HNSW
- moved stats and imbalance_factor of IndexIVF to InvertedLists object
- range search for IVFScalarQuantizer
- direct unit8 codec in ScalarQuantizer
- renamed IndexProxy to IndexReplicas and moved to main Faiss
- better support for PQ code assignment with external index
- support for IMI2x16 (4B virtual centroids!)
- support for k = 2048 search on GPU (instead of 1024)
- most CUDA mem alloc failures throw exceptions instead of terminating on an assertion
- support for renaming an ondisk invertedlists
- interrupt computations with ctrl-C in python
Features:
- automatic tracking of C++ references in Python
- non-intel platforms supported -- some functions optimized for ARM
- override nprobe for concurrent searches
- support for floating-point quantizers in binary indexes
Bug fixes:
- no more segfaults in python (I know it's the same as the first feature but it's important!)
- fix GpuIndexIVFFlat issues for float32 with 64 / 128 dims
- fix sharding of flat indexes on GPU with index_cpu_to_gpu_multiple
* 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.
