[Feature]: Support 310P device run qwen2.5/3 dense and qwen2.5vl models (#5776)

### What this PR does / why we need it?
Add basic 310p support. Only dense models work with eager mode now.

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: Tflowers-0129 <2906339855@qq.com>
Signed-off-by: Shaoxu Cheng <2906339855@qq.com>

vllm_ascend/_310p/attention/metadata_builder.py

@@ -0,0 +1,40 @@
+#
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# This file is a part of the vllm-ascend project.
+#
+
+from __future__ import annotations
+
+from typing import Any
+
+import torch
+from vllm.config import VllmConfig
+from vllm.v1.kv_cache_interface import AttentionSpec
+
+from vllm_ascend._310p.attention.attention_mask import AttentionMaskBuilder
+from vllm_ascend.attention.attention_v1 import AscendAttentionMetadataBuilder as _BaseBuilder
+
+
+class AscendAttentionMetadataBuilder310P(_BaseBuilder):
+    def __init__(
+        self,
+        kv_cache_spec: AttentionSpec,
+        layer_names: list[str],
+        vllm_config: VllmConfig,
+        device: torch.device,
+    ):
+        super().__init__(kv_cache_spec, layer_names, vllm_config, device)
+
+        self.attn_mask_builder: Any = AttentionMaskBuilder(self.device)