[enh] Throw error if StaticEmbedding-based model is trained with incompatible loss
#2990
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Resolves #2982
Hello!
Pull Request overview
Details
Several losses rely on
input_idshaving a specific shape, etc., whereas the StaticEmbedding input_ids are concatenated to avoid any padding. This results in very fast inference, but prevents roughly ~5 losses from working. Luckily, there's still many good options, such as MultipleNegativesRankingLoss.Big thanks to @aoezdTchibo for pointing this incompatibility out to me.