noaux_eplb

Author: xiaoxiaohehe001

fastdeploy/model_executor/layers/moe/ep.py

@@ -430,8 +430,6 @@ def moe_select(self, layer: nn.Layer, gate_out: paddle.Tensor):
                 expert_in_rank_num_list,
                 tokens_per_expert_stats_list,
             ) = layer.redundant_table_manger.get_ep_rank_to_expert_id_list_by_layer(layer.layer_idx)
-            if layer.is_rearrange is False:
-                expert_id_to_ep_rank_array = paddle.arange(layer.num_experts).cast("int32")
 
             if layer.topk_method == "noaux_tc":
                 from .moe import get_moe_scores