[0.11.0][Perf] Add padding vision tower for Qwen2_5_Omni (#4041)

### What this PR does / why we need it?
This PR repalce the vision tower in Qwen2.5-Omni-Thinker model,
Qwen2_5_VisionTransformer, with AscendQwen2_5_VisionTransformer, which
use QKV padding for padding performance.

- vLLM version: v0.11.0rc3
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0

Signed-off-by: Ting FU <futing10@huawei.com>

vllm_ascend/models/qwen2_5_vl.py

@@ -349,6 +349,9 @@ class AscendQwen2_5_VisionTransformer(Qwen2_5_VisionTransformer):
             ("qkv_proj", "q_proj", "q"),
             ("qkv_proj", "k_proj", "k"),
             ("qkv_proj", "v_proj", "v"),
+            ("attn.qkv.", "attn.q.", "q"),
+            ("attn.qkv.", "attn.k.", "k"),
+            ("attn.qkv.", "attn.v.", "v"),
             ("mlp.gate_up_proj.", "mlp.gate_proj.", 0),
             ("mlp.gate_up_proj.", "mlp.up_proj.", 1),
         ]
@@ -363,6 +366,11 @@ class AscendQwen2_5_VisionTransformer(Qwen2_5_VisionTransformer):
                 param = params_dict[name]
                 weight_loader = param.weight_loader
                 weight_loader(param, loaded_weight, shard_id)
+                if self.enable_pad and shard_id == "v":
+                    if "attn.qkv.weight" in name:
+                        param.data = self.pad_qkv_weight(param.data)
+                    if "attn.qkv.bias" in name:
+                        param.data = self.pad_qkv_bias(param.data)
                 break
             else:
                 param = params_dict[name]