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Fix: extra negatives causes shape mismatch in FactorizedTopK metrics #642

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patrickorlando
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The Problem

The Retrieval task already slices the candidate_embeddings tensor to remove extra negatives, but it doesn't do the same for the candidate_ids.
This leads to a shape mismatch when calculating the FactorizedTopK metrics, if also handling accidental hits.

- If only candidate_embeddings are sliced a shape mismatch occurs
@caesarjuly
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Thanks for providing this fix. I also noticed this issue. 👍

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