Remove useless PD check in deepseek (#3161)

### What this PR does / why we need it?
Remove useless PD check in deepseek

### How was this patch tested?


- vLLM version: v0.10.2
- vLLM main:
f225ea7dd9

Signed-off-by: wangxiaoteng <wangxiaoteng@huawei.com>
Co-authored-by: wangxiaoteng <wangxiaoteng@huawei.com>

vllm_ascend/torchair/models/torchair_deepseek_v2.py

@@ -32,8 +32,7 @@ import torch_npu
 from torch import nn
 from transformers import PretrainedConfig
 from vllm.attention import Attention, AttentionMetadata
-from vllm.config import (CacheConfig, ModelConfig, VllmConfig,
-                         get_current_vllm_config)
+from vllm.config import CacheConfig, ModelConfig, VllmConfig
 from vllm.distributed import (get_pp_group, get_tensor_model_parallel_rank,
                               get_tensor_model_parallel_world_size,
                               get_tp_group, split_tensor_along_last_dim,
@@ -376,10 +375,6 @@ class TorchairDeepseekV2MoE(nn.Module):
         self.tp_group = get_tp_group().device_group
         self.tp_rank = get_tp_group().rank_in_group
         self.ep_group = get_ep_group()
-        self.kv_consumer = None
-        transfer_config = get_current_vllm_config().kv_transfer_config
-        if transfer_config is not None:
-            self.kv_consumer = transfer_config.kv_role == "kv_consumer"
 
         self.params_dtype = torch.get_default_dtype()
         self.rm_router_logits = self.experts.rm_router_logits
@@ -397,12 +392,6 @@ class TorchairDeepseekV2MoE(nn.Module):
 
         is_prefill = forward_context.with_prefill
 
-        # If this node is kv_consumer, we force the moe always runs in decode path to make sure
-        # the behaviour aligned between dummy_run and normal model_execute.
-        if self.kv_consumer:
-            is_prefill = False
-            enable_force_load_balance = False
-
         # router_logits: (num_tokens, n_experts)
         router_logits = None
         if not self.rm_router_logits and not self.multistream_overlap_shared_expert: