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docs(mtp_varlen): state zero-rate participation at the ranking site
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@ -69,6 +69,11 @@ def compute_seqlens_q_by_confidence_rates_ref(
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# Phase 2: rank-based selection
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# Flatten all (seq, pos) rates and find the top-k by rate (higher wins, tie-break by flat index ascending)
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# Cells with cumprod 0.0 take part in this ranking too: remap == -1 (fresh seq) and a seq whose draft
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# confidences were masked to 0 after emitting a stop token (model_executor/layers/sampler.py) both
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# contribute all-zero rows. Those rows are reached once extra_budget exceeds the number of positive
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# cells, and are then filled in flat-index order, so which zero-confidence seq is verified beyond its
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# base token depends on batch position rather than on confidence.
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extra_budget = total_q - num_seqs # number of extra tokens to distribute
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flat_rates = cum_rates.reshape(-1) # [num_seqs * nextn]
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