Revert "moe_gating_top_k" (#5512)

Reverts vllm-project/vllm-ascend#5271

It breaks e2e test

- vLLM version: v0.13.0
- vLLM main:
45c1ca1ca1

tests/e2e/nightly/multicard_ops/test_dispatch_gmm_combine_decode.py

@@ -179,8 +179,7 @@ class SmallOps(DecodeMoeOps):
             shared_expert_rank_num=self.shared_expert_rank_num,
             quant_mode=2,
             global_bs=self.batch_size * self.ep_world_size,
-            expert_token_nums_type=
-            1,  # 0 represents prefix sum, 1 represents individual counts
+            expert_token_nums_type=1,  # 0代表前缀和，1代表各自数量
         )
         expand_x, dynamic_scales, assist_info_for_combine, expert_token_nums, ep_send_counts, tp_send_counts, expand_scales = outputs
         output_dtype = x.dtype
@@ -189,8 +188,8 @@ class SmallOps(DecodeMoeOps):
             x=[expand_x],
             weight=[self.gmm1_weight],
             split_item=3,
-            group_list_type=1,  # Default is 0, represents prefix sum format
-            group_type=0,  # 0 represents m-axis grouping
+            group_list_type=1,  # 默认为0，代表前缀和形式
+            group_type=0,  # 0代表m轴分组
             group_list=expert_token_nums,
             output_dtype=torch.int32)[0]
         y1, y1_scale = torch_npu.npu_dequant_swiglu_quant(
@@ -366,7 +365,7 @@ def run_once(local_rank_id,
              with_mc2_mask=False):
     log_file = redirect_output(f"local_rank_{local_rank_id}.log"
                                ) if output_to_file(local_rank_id) else None
-    global_rank_id = local_rank_id  # Single machine
+    global_rank_id = local_rank_id  # 单机
     device_id = local_rank_id % 16
     torch_npu.npu.set_device(device_id)