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[GH-ISSUE #383] Cosine Similarity Calculation and Number Range Inquiry #328

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opened 2026-10-31 21:13:56 +00:00 by bsakaguchi · 0 comments
bsakaguchi commented 2026-10-31 21:13:56 +00:00
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Originally created by @Externalhappy on GitHub (Aug 25, 2023).
Original GitHub issue: https://github.com/openai/CLIP/issues/383

So, if we calculate the similarity using ,
similarity = F.cosine_similarity(x, y)
without normalizing the image and text features, the computed cosine similarity will have the same output as

x = x / x.norm(dim=-1, keepdim=True) 
y = y / y.norm(dim=-1, keepdim=True)
similarity = x @y.T

Is that correct?

Originally created by @Externalhappy on GitHub (Aug 25, 2023). Original GitHub issue: https://github.com/openai/CLIP/issues/383 So, if we calculate the similarity using , `similarity = F.cosine_similarity(x, y) ` without normalizing the image and text features, the computed cosine similarity will have the same output as ``` x = x / x.norm(dim=-1, keepdim=True) y = y / y.norm(dim=-1, keepdim=True) similarity = x @y.T ``` Is that correct?
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