Comments (1)
mlomeli1
commented on September 27, 2024
This was fixed by @mdouze in #3309 (thank you Matthijs for flagging!). @anupsingh15 you need use the nightly package (see INSTALL.md) so this fix is included in the version of faiss you have in your conda environment, for your reference:
conda create -n faiss_1_8_0_nightly python=3.10
conda activate faiss_1_8_0_nightly
conda install -c pytorch/label/nightly -c nvidia faiss-gpu=1.8.0
the output is then
import numpy as np
import faiss
x = np.random.randn(10000,128)
M=32
index_hnsw = faiss.IndexHNSWFlat(128, M)
index_hnsw.hnsw.efConstruction = 40
index_hnsw.hnsw.efSearch = 16
index_hnsw.add(x)
D, I = index_hnsw.search(x[:10], 2)
cands = faiss.cvar.hnsw_stats.ndis #total cands evaluated across all queries
cands
10268
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Related Issues (20)
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- Opening up SearchParameters for IndexBinaryHNSW and IndexBinaryIVF HOT 3
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- Faiss assertion 'err == CUBLAS_STATUS_SUCCESS' failed in void faiss::gpu::runMatrixMult(faiss::gpu::Tensor<float, 2, true>&, bool, faiss::gpu::Tensor<T, 2, true>&, bool, HOT 1
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