Fix: #3988 using blockwise_int8 (#4023)

python/sglang/srt/layers/quantization/blockwise_int8.py

@@ -371,6 +371,8 @@ class BlockInt8MoEMethod:
         custom_routing_function: Optional[Callable] = None,
         correction_bias: Optional[torch.Tensor] = None,
         activation: str = "silu",
+        inplace: bool = True,
+        no_combine: bool = False,
     ) -> torch.Tensor:
         from sglang.srt.layers.moe.fused_moe_triton.fused_moe import fused_experts
         from sglang.srt.layers.moe.topk import select_experts
@@ -395,7 +397,7 @@ class BlockInt8MoEMethod:
             layer.w2_weight,
             topk_weights=topk_weights,
             topk_ids=topk_ids,
-            inplace=True,
+            inplace=inplace,
             activation=activation,
             use_int8_w8a8=True,
             w1_scale=(layer.w13_weight_scale_inv),
@@ -403,4 +405,5 @@ class BlockInt8MoEMethod:
             a1_scale=layer.w13_input_scale,
             a2_scale=layer.w2_input_scale,
             block_shape=self.quant_config.weight_block_size,
+            no_combine=no_combine,
         )