How can I ensure consistent results every time I run the code? I get different results each time I run the code

[Chengwei-Yan]

How can I ensure consistent results every time I run the code? I get different results each time I run the code

[yurymalkov]

Search should be deterministic. Construction is not deterministic if using more than a single thread

[Chengwei-Yan]

Search should be deterministic. Construction is not deterministic if using more than a single thread

thanks for your reply

[Chengwei-Yan]

Search should be deterministic. Construction is not deterministic if using more than a single thread

Search should be deterministic. Construction is not deterministic if using more than a single thread

I tried setting only one thread, but the results are still different every time

[yurymalkov]

Hm. That is strange. Is the data order is the same?

[Chengwei-Yan]

Hm. That is strange. Is the data order is the same?

the data order is the same.I used hnswlib in python. I tried calculating mutual nearest neighbors, but each time the same group of data is calculated, the quantity is different.

[Chengwei-Yan]

Hm. That is strange. Is the data order is the same?

here is the code:
dim = dataset2.shape[1]
num_elements = dataset2.shape[0]
tree = hnswlib.Index(space="cosine", dim=dim)
tree.init_index(max_elements=num_elements, ef_construction=200, M=16)
tree.set_ef(50)
tree.set_num_threads(1)
tree.add_items(dataset2)
ind, _ = tree.knn_query(dataset1, k=knn,num_threads =1)

[rdy5644]

@Chengwei-Yan did you find anything here?
We are also facing this issue