Questions about the anomaly embedding

[Jaeihk]

In this paper, it says k=8 tokens for random embedding, but when I actually checked embeddings.pt , it's [4,1280], is k=4 correct?

embedding_dict = torch.load("./embeddings_gs-299999.pt")
Shape: torch.Size([4, 1280])

[sjtuplayer]

In this paper, it says k=8 tokens for random embedding, but when I actually checked embeddings.pt , it's [4,1280], is k=4 correct?

embedding_dict = torch.load("./embeddings_gs-299999.pt") Shape: torch.Size([4, 1280])

The provided embedding.pt is correct, since the length only has a very tiny influence on results. You can just use it.

[Jaeihk]

Thank you for your answer.
Can you upload the code for calculating IS score?
Thank you.