[BUG] Support 32 head size for SGLang

[DavidBao03]

Recently, SGLang supports Bert Encoder Models with head size of 32, but only for Torch and Triton backend. I'm trying to use the Flashinfer backend but encountered:

Error: Invalid configuration : NUM_MMA_Q=2 NUM_MMA_D_QK=2 NUM_MMA_D_VO=2 NUM_MMA_KV=4 NUM_WARPS_Q=4 
NUM_WARPS_KV=1 please create an issue (https://github.com/flashinfer-ai/flashinfer/issues) and report the issue to the developers.

I'm using JIT mode and the cuda version is 12.4, torch version is 2.5, flashinfer version is 0.2.5 and sglang version is 0.4.6.