[NPU] Determine the topk norm_type through scoring_func (#31107)

Co-authored-by: iridiumine <42236072+iridiumine@users.noreply.github.com>
Co-authored-by: zhaozx-cn <59479021+zhaozx-cn@users.noreply.github.com>
Co-authored-by: sglang-npu-bot <sglangnpu@163.com>

python/sglang/srt/hardware_backend/npu/moe/topk.py

@@ -97,7 +97,7 @@ def fused_topk_npu(
             group_select_mode=(1 if use_grouped_topk else 0),
             renorm=0,
             # 1 for sigmoid, 0 for softmax
-            norm_type=1,
+            norm_type=(0 if topk_config.scoring_func == "softmax" else 1),
             routed_scaling_factor=(
                 topk_config.routed_scaling_factor
                 if topk_config.apply_routed_scaling_factor_on_output

python/sglang/srt/models/glm4_moe_lite.py

@@ -225,6 +225,7 @@ class Glm4MoeLiteSparseMoeBlock(nn.Module):
             quant_config=quant_config,
             routed_scaling_factor=self.routed_scaling_factor,
             prefix=add_prefix("experts", prefix),
+            **({"scoring_func": "sigmoid"}),
         )
 
         self.topk = TopK(