You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
In the multi-lora feature, vllm refer to the BGMV in punica.
Yet in the punica project(https://github.com/punica-ai/punica), the authors said SGMV (Segmented Gather Matrix-Vector Multiplication) is more flexible. Is there a plan to support SGMV in the community?
The text was updated successfully, but these errors were encountered:
We are using BGMV kernels instead of new SGMV kernels from punica. The BGMV kernel is not efficient for prefill, but the current SGMV CUTLASS-based kernel is not configurable enough and suffers from accuracy drops due to the intermediate output being stored in half-precision. Once punica updates with custom, non-CUTLASS SGMV kernels, I will update the code to make use of them.
In the multi-lora feature, vllm refer to the BGMV in punica.
Yet in the punica project(https://github.com/punica-ai/punica), the authors said SGMV (Segmented Gather Matrix-Vector Multiplication) is more flexible. Is there a plan to support SGMV in the community?
The text was updated successfully, but these errors were encountered: