server : fix handling of the ignore_eos flag #14710
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| for (llama_token i = 0; i < llama_vocab_n_tokens(vocab); i++) { | ||
| if (llama_vocab_is_eog(vocab, i)) { | ||
| //SRV_DBG("%s: added %s logit bias = %f\n", __func__, common_token_to_piece(ctx, i).c_str(), -INFINITY); | ||
| params.sampling.logit_bias.push_back({i, -INFINITY}); | ||
| } | ||
| } |
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If this is done for every token during generation, I suspect it is going to have a significant performance impact.
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It's done once per completion request, at the beginning, upon processing the input json parameters.
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If performance is a concern we could maybe provide a list of EoG tokens to iterate over instead of iterating over all tokens and checking whether each one is EoG. Although I think iterating over all tokens once per request is going to be negligible vs. iterating over all tokens once per generated token as is being done for sampling.
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In my system this takes about 0.3 ms for a 150k vocab model, so I suppose it is not that bad.
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I fixed this anyway: #14721
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fix #14695 (comment)
slot_params.ignore_eosignore_eosis passed in the request, we ignore all EOG tokens by adding -INF logit bias to the sampler