[FEAT] Improved PagedAttention FP8 (faster kvcache dequant v2) #347
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tjtanaa wants to merge 5 commits intoROCm:llama_fp8_12062024from
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[FEAT] Improved PagedAttention FP8 (faster kvcache dequant v2) #347tjtanaa wants to merge 5 commits intoROCm:llama_fp8_12062024from
tjtanaa wants to merge 5 commits intoROCm:llama_fp8_12062024from
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December 29, 2024 12:42
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Description
This is a PR to merge
https://github.com/ROCm/vllm/blob/shsanyal_develop_cpa_fp8optimizedattention.cukernel intollama_fp8_12062024branch.CAVEAT
Currently the
attention.cukernel does not supportblock sizeof32andhead sizeof64.The vLLM model unittests are failing as it uses small models e.g. Gemma, Llama which has
head sizeof64.Performance over this Feature PR (#346) which is another implementation of faster kvcache dequant
The following is a
benchmark_throughputresults ofLlama-3.1-70Bwithfp8dynamic quantization andkv-cache-dtypeoffp8_e4m3. For sequence input token length2048and output token length2048: