[MM][Model][Perf] Remove Qwen2.5-VL modeling files and add patch for VisionAttention (#4349)

### What this PR does / why we need it?

- [x] Patch `Qwen2_5_VisionAttention` with
`AscendQwen2_5_VisionAttention`.
- [x] Replace `AscendQwen2_5_VisionTransformer` with
`Qwen2_5_VisionTransformer` in vllm.
- [x] Move padding logic (q/k/v and cos/sin) before FA to `forward()` of
`Qwen2_5_VisionAttention`.
- [x] Covert `cu_seqlens` in `Qwen2_5_VisionAttention` from cumulative
form to intervals and move it to cpu (compatible for npu FA).
- [x] Remove Qwen2.5-VL modeling files.
- [x] Remove Qwen2.5-VL (without padding) modeling files.
- [x] Remove related UT.
- [x] Make `set_forward_context` pluggable when getting MM embedding.
Find more details at vllm-project/vllm#29388.
- [x] Simplify padding logic for FA.
- [x] Add patch for vllm-project/vllm#28798.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

- [x] Functional test (eager mode)
- [x] Functional test (graph mode)
- [x] Benchmark


- vLLM version: v0.11.2

---------

Signed-off-by: shen-shanshan <467638484@qq.com>

Author: shen-shanshan

tests/ut/models/test_qwen2_5_vl.py

@@ -1,7 +1,5 @@
 from vllm import ModelRegistry
 
-import vllm_ascend.envs as envs_ascend
-
 
 def register_model():
     ModelRegistry.register_model(
@@ -10,24 +8,11 @@ def register_model():
 
     ModelRegistry.register_model(
         "Qwen3VLMoeForConditionalGeneration",
-        "vllm_ascend.models.qwen2_5_vl_without_padding:AscendQwen3VLMoeForConditionalGeneration"
-    )
+        "vllm_ascend.models.qwen3_vl:AscendQwen3VLMoeForConditionalGeneration")
 
     ModelRegistry.register_model(
         "Qwen3VLForConditionalGeneration",
-        "vllm_ascend.models.qwen2_5_vl_without_padding:AscendQwen3VLForConditionalGeneration"
-    )
-
-    if envs_ascend.USE_OPTIMIZED_MODEL:
-        ModelRegistry.register_model(
-            "Qwen2_5_VLForConditionalGeneration",
-            "vllm_ascend.models.qwen2_5_vl:AscendQwen2_5_VLForConditionalGeneration"
-        )
-    else:
-        ModelRegistry.register_model(
-            "Qwen2_5_VLForConditionalGeneration",
-            "vllm_ascend.models.qwen2_5_vl_without_padding:AscendQwen2_5_VLForConditionalGeneration_Without_Padding"
-        )
+        "vllm_ascend.models.qwen3_vl:AscendQwen3VLForConditionalGeneration")
 
     # There is no PanguProMoEForCausalLM in vLLM, so we should register it before vLLM config initialization
     # to make sure the model can be loaded correctly. This register step can be removed once vLLM support PanguProMoEForCausalLM.