fused moe triton tuning script support qwen3 (sgl-project#5842)

Author: BBuf

benchmark/kernels/fused_moe_triton/README.md

@@ -20,6 +20,13 @@ python benchmark/kernels/fused_moe_triton/tuning_fused_moe_triton.py \
     --dtype fp8_w8a8 \
     --tune
 
+# Tune Qwen3-235B-A22B-FP8 and TP=4
+python benchmark/kernels/fused_moe_triton/tuning_fused_moe_triton.py \
+    --model Qwen/Qwen3-235B-A22B-FP8 \
+    --tp-size 4 \
+    --dtype fp8_w8a8 \
+    --tune
+
 # Tune DeepSeek-V3 with FP8, TP=8 and n_share_experts_fusion=8
 python benchmark/kernels/fused_moe_triton/tuning_fused_moe_triton.py \
     --model deepseek-ai/DeepSeek-V3-0324 \

benchmark/kernels/fused_moe_triton/benchmark_torch_compile_fused_moe.py

@@ -30,10 +30,15 @@ def get_model_config(model_name: str, tp_size: int):
         topk = config.num_experts_per_tok
         intermediate_size = config.moe_intermediate_size
         shard_intermediate_size = 2 * intermediate_size // tp_size
+    elif config.architectures[0] == "Qwen3MoeForCausalLM":
+        E = config.num_experts
+        topk = config.num_experts_per_tok
+        intermediate_size = config.moe_intermediate_size
+        shard_intermediate_size = 2 * intermediate_size // tp_size
     elif config.architectures[0] in ["DeepseekV2ForCausalLM", "DeepseekV3ForCausalLM"]:
         E = config.n_routed_experts
         topk = config.num_experts_per_tok
-        intermediate_size = config.intermediate_size
+        intermediate_size = config.moe_intermediate_size
         shard_intermediate_size = 2 * intermediate_size // tp_size
     elif config.architectures[0] in [
         "Grok1ForCausalLM",

benchmark/kernels/fused_moe_triton/benchmark_vllm_vs_sglang_fused_moe_triton.py

@@ -30,6 +30,11 @@ def get_model_config(model_name: str, tp_size: int):
         topk = config.num_experts_per_tok
         intermediate_size = config.moe_intermediate_size
         shard_intermediate_size = 2 * intermediate_size // tp_size
+    elif config.architectures[0] == "Qwen3MoeForCausalLM":
+        E = config.num_experts
+        topk = config.num_experts_per_tok
+        intermediate_size = config.moe_intermediate_size
+        shard_intermediate_size = 2 * intermediate_size // tp_size
     elif config.architectures[0] in ["DeepseekV2ForCausalLM", "DeepseekV3ForCausalLM"]:
         E = config.n_routed_experts
         topk = config.num_experts_per_tok