[Model][1/N] Delete deepseek v2/v3 modeling codes. (#3189)

This PR deletes model codes of deepseek_v2 and deepseek_v3 to reuse the
model file from vLLM.

vLLM Ascend now uses custom ops register way instead of model file
hard-coding.

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

---------

Signed-off-by: whx-sjtu <2952154980@qq.com>

vllm_ascend/torchair/models/torchair_deepseek_v2.py

@@ -570,7 +570,8 @@ class TorchairDeepseekV2MLAAttention(DeepseekV2MLAAttention):
             qk_head_dim=self.qk_head_dim,
             v_head_dim=self.v_head_dim,
             rotary_emb=self.rotary_emb,
-            q_proj=self.q_proj if self.q_lora_rank is None else self.q_b_proj,
+            q_proj=self.q_proj if self.q_lora_rank is None else None,
+            q_b_proj=self.q_b_proj if self.q_lora_rank is not None else None,
             kv_a_proj_with_mqa=self.kv_a_proj_with_mqa,
             kv_a_layernorm=self.kv_a_layernorm,
             kv_b_proj=self.kv_b_proj,

vllm_ascend/torchair/torchair_mla.py

@@ -656,7 +656,8 @@ class AscendMLATorchairImpl(MLAAttentionImpl):
         self.qk_head_dim = kwargs['qk_head_dim']
         self.v_head_dim = kwargs['v_head_dim']
         self.rotary_emb = kwargs['rotary_emb']
-        self.q_proj = kwargs['q_proj']
+        self.q_proj = kwargs['q_proj'] if self.q_lora_rank is None else kwargs[
+            'q_b_proj']
         self.kv_b_proj = kwargs['kv_b_proj']
         self.o_proj = kwargs['o_proj']
         self.kv_a_proj_with_mqa = kwargs.get('kv_a_proj_with_mqa', None)