[1/N][Refactor] Refactor code to adapt with vllm main (#3612)

### What this PR does / why we need it?
This is the step 1 of refactoring code to adapt with vllm main, and this
pr aligned with
17c540a993

1. refactor deepseek to the latest code arch as of
17c540a993
 
2. bunches of fixes due to vllm changes
- Fix `AscendScheduler` `__post_init__`, caused by
https://github.com/vllm-project/vllm/pull/25075
- Fix `AscendScheduler` init got an unexpected arg `block_size`, caused
by https://github.com/vllm-project/vllm/pull/26296
- Fix `KVCacheManager` `get_num_common_prefix_blocks` arg, caused by
https://github.com/vllm-project/vllm/pull/23485
- Fix `MLAAttention` import,caused by
https://github.com/vllm-project/vllm/pull/25103
- Fix `SharedFusedMoE` import, caused by
https://github.com/vllm-project/vllm/pull/26145
- Fix `LazyLoader` improt, caused by
https://github.com/vllm-project/vllm/pull/27022
- Fix `vllm.utils.swap_dict_values` improt, caused by
https://github.com/vllm-project/vllm/pull/26990
- Fix `Backend` enum import, caused by
https://github.com/vllm-project/vllm/pull/25893
- Fix `CompilationLevel` renaming to `CompilationMode` issue introduced
by https://github.com/vllm-project/vllm/pull/26355
- Fix fused_moe ops, caused by
https://github.com/vllm-project/vllm/pull/24097
- Fix bert model because of `inputs_embeds`, caused by
https://github.com/vllm-project/vllm/pull/25922
- Fix MRope because of `get_input_positions_tensor` to
`get_mrope_input_positions`, caused by
https://github.com/vllm-project/vllm/pull/24172
- Fix `splitting_ops` changes introduced by
https://github.com/vllm-project/vllm/pull/25845
- Fix multi-modality changes introduced by
https://github.com/vllm-project/vllm/issues/16229
- Fix lora bias dropping issue introduced by
https://github.com/vllm-project/vllm/pull/25807
- Fix structured ouput break introduced by
https://github.com/vllm-project/vllm/issues/26737

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

### How was this patch tested?
CI passed with existing test.


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

---------

Signed-off-by: MengqingCao <cmq0113@163.com>
Signed-off-by: Icey <1790571317@qq.com>
Co-authored-by: Icey <1790571317@qq.com>

tests/ut/attention/test_mla_v1.py

@@ -303,13 +303,12 @@ class TestAscendMLAImpl(TestBase):
         kv_a_layernorm.weight = torch.randn(96)
         kv_a_layernorm.variance_epsilon = 1e-6
         kwargs = {
-            "q_lora_rank": 64,
             "kv_lora_rank": 32,
             "qk_nope_head_dim": 64,
             "qk_rope_head_dim": 32,
             "qk_head_dim": 96,
             "v_head_dim": 128,
-            "rotary_emb": MagicMock(),
+            "q_lora_rank": 64,
             "q_proj": MagicMock(),
             "q_b_proj": MagicMock(),
             "kv_b_proj": MagicMock(),
@@ -317,6 +316,7 @@ class TestAscendMLAImpl(TestBase):
             "kv_a_proj_with_mqa": MagicMock(),
             "fused_qkv_a_proj": MagicMock(),
             "kv_a_layernorm": kv_a_layernorm,
+            "rotary_emb": MagicMock(),
         }
 
         self.impl = AscendMLAImpl(num_heads=num_heads,
@@ -338,13 +338,11 @@ class TestAscendMLAImpl(TestBase):
         self.assertEqual(self.impl.scale, 0.1)
         self.assertEqual(self.impl.num_kv_heads, 8)
         self.assertEqual(self.impl.kv_cache_dtype, "auto")
-        self.assertEqual(self.impl.q_lora_rank, 64)
         self.assertEqual(self.impl.kv_lora_rank, 32)
         self.assertEqual(self.impl.qk_nope_head_dim, 64)
         self.assertEqual(self.impl.qk_rope_head_dim, 32)
         self.assertEqual(self.impl.qk_head_dim, 96)
         self.assertEqual(self.impl.v_head_dim, 128)
-        self.assertIsNotNone(self.impl.rotary_emb)
         self.assertIsNotNone(self.impl.q_proj)
         self.assertIsNotNone(self.impl.kv_b_proj)
         self.assertIsNotNone(self.impl.o_proj)