[2/n]decouple quantization implementation from vLLM dependency (#8112)

Co-authored-by: walker-ai <yiyun.wyt@antgroup.com>
Co-authored-by: leoneo <1320612015@qq.com>

sgl-kernel/python/sgl_kernel/fused_moe.py

@@ -2,6 +2,7 @@ import functools
 from typing import Optional
 
 import torch
+from sgl_kernel import silu_and_mul
 
 
 def get_scalar_type(num_bits: int, has_zp: bool):
@@ -165,7 +166,7 @@ def fused_marlin_moe(
         is_zp_float=False,
     )
 
-    torch.ops._C.silu_and_mul(intermediate_cache2, intermediate_cache1.view(-1, 2 * N))
+    silu_and_mul(intermediate_cache1.view(-1, 2 * N), intermediate_cache2)
 
     if expert_map is not None:
         intermediate_cache3.zero_()