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[skip e2e] improve annotation (#14056) 

Signed-off-by: Xieql <qianglong.xie@zilliz.com>
pull/14080/head
Xieql 2021-12-23 15:14:11 +08:00 committed by GitHub
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internal/core/src/index/thirdparty/faiss/benchs/distributed_ondisk/README.md vendored
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@ -22,7 +22,7 @@ It exposes the methods of an object on the server side so that they can be calle
- [`distributed_kmeans.py`](distributed_kmeans.py) contains the k-means implementation.
The main loop of k-means is re-implemented in python but follows closely the Faiss C++ implementation, and should not be significantly less efficient.
It relies on a `DatasetAssign` object that does the assignement to centrtoids, which is the bulk of the computation.
It relies on a `DatasetAssign` object that does the assignment to centrtoids, which is the bulk of the computation.
The object can be a Faiss CPU index, a GPU index or a set of remote GPU or CPU indexes.
- [`run_on_cluster.bash`](run_on_cluster.bash) contains the shell code to run the distributed k-means on a cluster.