Flash-attn performance: remove cuda sync during inference#33570
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Cyrilvallez merged 1 commit intohuggingface:mainfrom Oct 7, 2024
Merged
Flash-attn performance: remove cuda sync during inference#33570Cyrilvallez merged 1 commit intohuggingface:mainfrom
Cyrilvallez merged 1 commit intohuggingface:mainfrom
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cc @ArthurZucker, forgot to ping you |
ArthurZucker
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👀 nice hack, awesome that you found about it!
BernardZach
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Dec 5, 2024
…e#33570) Switch conditions to use short-circuit during inference
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What does this PR do?
#31629 & #32241 introduced a functionality in FA2 intended for training efficiency. However, it adds unnecessary cuda synchronization at inference time in every forward pass due to always checking
(torch.diff(position_ids, dim=-1) >= 0).all()in theelifcondition. This PR fixes the performance issue by simply switching the order of the different checks in theelifcondition, to make good use of Python's default short-circuit evaluation. Indeed, at inference time,query_lengthwill always be 1 except during prefill, thus we will short-circuit torch synchronization all the time.Performance degradation was not so significant, but this PR allows to win back around 5-10% speed at inference time from the quick tests I ran.