update deepseek_v2.py

vllm/model_executor/models/deepseek_v2.py

@@ -1039,10 +1039,7 @@ class DeepseekV2ForCausalLM(nn.Module, SupportsPP, MixtureOfExperts):
                     if is_pp_missing_parameter(name_mapped, self):
                         continue
 
-                    try:
                     param = params_dict[name_mapped]
-                    except Exception as e:
-                        continue
                     # We should ask the weight loader to return success or not
                     # here since otherwise we may skip experts with other
                     # available replicas.
@@ -1076,7 +1073,10 @@ class DeepseekV2ForCausalLM(nn.Module, SupportsPP, MixtureOfExperts):
                     if is_pp_missing_parameter(name, self):
                         continue
 
+                    try:
                         param = params_dict[name]
+                    except Exception as e:
+                        continue
                     weight_loader = getattr(param, "weight_loader",
                                             default_weight_loader)
                     weight_loader(param, loaded_weight)