Fix: extra negatives causes shape mismatch in FactorizedTopK metrics#642
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patrickorlando wants to merge 1 commit intotensorflow:mainfrom
Open
Fix: extra negatives causes shape mismatch in FactorizedTopK metrics#642patrickorlando wants to merge 1 commit intotensorflow:mainfrom
patrickorlando wants to merge 1 commit intotensorflow:mainfrom
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- If only candidate_embeddings are sliced a shape mismatch occurs
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Thanks for providing this fix. I also noticed this issue. 👍 |
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The Problem
The Retrieval task already slices the
candidate_embeddingstensor to remove extra negatives, but it doesn't do the same for thecandidate_ids.This leads to a shape mismatch when calculating the
FactorizedTopKmetrics, if also handling accidental hits.