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Improve decoding (#291)
* whisper : prepare infra for new decoding strategies * whisper : apply logit filters and compute logprobs * whisper : add whisper_get_logits() * whisper : separate self and cross attention memory Initial step needed for supporting parallel decoders * whisper : move probs_id buffer to whisper_context * whisper : refactor kv cache into separate struct * whisper : move self-attention kv cache to whisper_decoder * whisper : wip decoding parameters + strategies * whisper : wip decoding parameters + strategies (part 2) * whisper : wip decoding parameters + strategies (part 3) * whisper : wip decoding parameters + strategies (part 4) * whisper : fix prompt_past update to not include prompt_init * whisper : temperature + best_of support * whisper : support for compression_ration_threshold We actually use entropy, but it is similar * command : fix example to use logits instead of obsolete probs * whisper : handle empty sequence ranking * whisper : add WHISPER_DEBUG + diagnostic prints + new main args * whisper : minor fixes * whisper : add beam-search support * whisper : bug fix when there no previous context * whisper : add comments * stream : disable temperature fallback For real-time processing, we always want a single decoder running at T=0 * whisper.swiftui : update example - fix paths + add empty folders
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@ -615,6 +615,9 @@ int main(int argc, char ** argv) {
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wparams.audio_ctx = params.audio_ctx;
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wparams.speed_up = params.speed_up;
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// disable temperature fallback
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wparams.temperature_inc = -1.0f;
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wparams.prompt_tokens = params.no_context ? nullptr : prompt_tokens.data();
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wparams.prompt_n_tokens = params.no_context ? 0 : prompt_tokens.size();
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