Separate kv_scale
into k_scale
and v_scale
#25
Merged
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Required for vllm-project/vllm#6081
Since we already quantize
key_cache
andvalue_cache
separately in PagedAttention, there is "free accuracy on the table" for FP8 KV Cache quantization as we could use separate per-tensor scales for each.The FlashInfer FP8 attention kernel also uses separate
k_scale
andv_scale
values, so this PR is in preparation to enable that usage. Source: https://github.com/flashinfer-ai/flashinfer/blob/dc2c76f8577d8695112b61d1fd43ef88569272ef/python/flashinfer/decode.py#L98-L101