[Hotfix][CI/Build][Kernel] CUDA 11.8 does not support layernorm optimizations #3782
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Bulk conversions (packed halfs into half2, using vectors of half2); block and warp reduce with AMD wavesize 64 (vs 32); using smaller block sizes for improved block occupancy on CUs Use larger block sizes for decode; optimize warp and block reduce fully Refactor vector to use half to maintain same alignment as c10::Half; move packed logic into member functions Add a few missing unroll directives Fix blockReduce stall caused by warp divergence on CUDA (vLLM uses universal masks) Refactor vector type to enable optimizations for bf16 Re-apply the blockReduceSum fix for warp divergence Hotfix: Disable BF16 opts due to ROCm 5.7 incompatibility Remove redundant inline specifiers; preparing for upstream
mawong-amd
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@youkaichao The hotfix for CUDA 11.8 you requested. |
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Thank you. I'm not familiar with cuda yet, so I will hand it over to @WoosukKwon |
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This small PR reverts enabling bf16/fp16 conversions and operators on CUDA < 12.0 that was done in #3662 due to clashes with other parts of code. As a result, the layernorm changes in the same PR are also disabled for CUDA < 12.0.
FIX #3662 (comment)
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