Comments (2)
Do I get it correctly that you'd like to run index.search()
using multiple threads, and search thread wants to use its own nprobe
? If so, then you need to pass up const faiss::IVFSearchParameters*
parameter, which allows to configure nprobe
for each search request
from faiss.
Do I get it correctly that you'd like to run
index.search()
using multiple threads, and search thread wants to use its ownnprobe
? If so, then you need to pass upconst faiss::IVFSearchParameters*
parameter, which allows to configurenprobe
for each search request
Thank you for your reply, I will try it right away
from faiss.
Related Issues (20)
- Is it possible to lazy load index from disk? HOT 1
- Binary embeddings score normalization HOT 1
- No conda package for faiss-cpu 1.8.0 for osx-64 on pytorch channel HOT 5
- Static library libfaiss_gpu.a not installed HOT 1
- faiss_gpu object is not linked to static library libfaiss.a HOT 3
- Error when building static library for AVX2 and GPU HOT 2
- Cannot debug similarity search HOT 1
- Add a tutorial for IndexHNSW HOT 3
- Segfault error on faiss.IndexIVFFlat().train HOT 1
- knn_gpu should use raft when raft is compiled in HOT 2
- ImportError: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.20' not found HOT 1
- Remove lapack dependency? HOT 1
- Faiss imported after Torch leads to segfault HOT 2
- Suggestions on implementing multi-scale quantization HOT 3
- The similarity results obtained from the index.faiss file are significantly different from those obtained from previous versions HOT 1
- inquiry related to DistanceComputer HOT 2
- Failed to install via poetry HOT 1
- Update the raft handle through StandardGpuResourcesImpl::setDefaultStream
- [Feature Request] GPU indices Provide Interface to Access Resource HOT 2
- faiss index and retriever not able to save HOT 1
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