删除无效代码

vllm/model_executor/layers/fused_moe/mori_moe/ep_moe_utlis.py

@@ -91,7 +91,6 @@ class EPSharedExperts(nn.Module):
             prefix=f"{prefix}.gate_up_proj",
             expect_tp_size=1)
         
-        print("#########self.gate_up_proj quant_method:", self.gate_up_proj.quant_method)
         self.down_proj = RowParallelLinear(intermediate_size,
                                            hidden_size,
                                            bias=False,
@@ -99,19 +98,6 @@ class EPSharedExperts(nn.Module):
                                            reduce_results=reduce_results,
                                            prefix=f"{prefix}.down_proj",
                                            expect_tp_size=1)
-        print("#########self.down_proj quant_method:", self.down_proj.quant_method)
-        # self.gate_up_proj = MergedColumnParallelLinear(
-        #     hidden_size, [intermediate_size] * 2,
-        #     bias=False,
-        #     quant_config=quant_config,
-        #     prefix=f"{prefix}.gate_up_proj",
-        #     expect_tp_size=1)
-        # self.down_proj = ReplicatedLinear(intermediate_size,
-        #                                   hidden_size,
-        #                                   bias=False,
-        #                                   quant_config=quant_config,
-        #                                   prefix=f"{prefix}.down_proj")
-        
 
         if hidden_act != "silu":
             raise ValueError(f"Unsupported activation: {hidden_act}. "

vllm/model_executor/layers/linear.py

@@ -783,7 +783,6 @@ class MergedColumnParallelLinear(ColumnParallelLinear):
             return
 
         if is_gguf_weight:
-            print("############is_gguf_weight")
             tp_size = get_tensor_model_parallel_world_size()
             tp_rank = get_tensor_model_parallel_rank()