[Dist][EP] Remove ETP/EP maintained in vllm-ascend (#1681)

### What this PR does / why we need it?
Remove ETP/EP maintained in branch main. We drop this as there is no
relevant scenarios to use ETP now, and we may subsequently advocate
implementing expert tensor parallelism in vLLM to support scenarios
where the expert is needed to be sliced

This is a part of #1422 backport.

Fixes https://github.com/vllm-project/vllm-ascend/issues/1396
https://github.com/vllm-project/vllm-ascend/issues/1154

### Does this PR introduce _any_ user-facing change?
We'll not maintain etp/ep in vllm-ascend anymore, and use the tp/ep in
vllm instead.

### How was this patch tested?
CI passed with new added and existing test.


- vLLM version: v0.9.2
- vLLM main:
fe8a2c544a

Signed-off-by: MengqingCao <cmq0113@163.com>

vllm_ascend/quantization/w8a8.py

@@ -20,9 +20,9 @@ from typing import Any, Callable, Dict, Optional
 import torch
 import torch_npu
 from vllm.attention.backends.abstract import AttentionType
+from vllm.distributed.parallel_state import get_ep_group
 
 from vllm_ascend.attention.attention_v1 import AscendAttentionState
-from vllm_ascend.distributed.parallel_state import get_ep_group
 from vllm_ascend.utils import ACL_FORMAT_FRACTAL_NZ, is_310p
 
 

vllm_ascend/quantization/w8a8_dynamic.py

@@ -21,10 +21,10 @@ import torch
 import torch.distributed as dist
 import torch_npu
 from vllm.distributed import GroupCoordinator
+from vllm.distributed.parallel_state import get_ep_group
 
 import vllm_ascend.envs as envs
 from vllm_ascend.ascend_config import get_ascend_config
-from vllm_ascend.distributed.parallel_state import get_ep_group
 from vllm_ascend.ops.fused_moe import select_experts
 from vllm_ascend.utils import (ACL_FORMAT_FRACTAL_NZ, FusedMoEState,
                                dispose_tensor, get_fused_moe_state,