[Feat] chunkprefill mla support torchair graph (#1772)

chunkprefill mla only support eager mode now，we want to optimaze it by
support torchair graph, the idea is simple, when all the request is
running in decode, use torchair graph to deal with it, else when
chunkprefill or prefill only, use the eager mode

- vLLM version: v0.10.0
- vLLM main:
ebf7605b0d

Signed-off-by: haojiangzheng <justineric096@gmail.com>
Co-authored-by: haojiangzheng <justineric096@gmail.com>

tests/ut/attention/test_mla_v1.py

@@ -664,6 +664,7 @@ class TestAscendMLAImpl(TestBase):
     def test_forward_decode_without_graph(self, mock_page_attention_mla,
                                           mock_up_proj):
         self.impl.running_in_graph = False
+        self.impl.running_chunkprefilll_with_torchair = False
         num_tokens = 100
         num_blocks = 256
         block_size = 4