[Feature] support aclgraph for model runner v2 (#7110)

### What this PR does / why we need it?
This PR aims to support aclgraph for model runner v2, please see RFC
#5208. The PR contains these modifications:
- adapt to newest commit of vllm main branch.
- supply a unified interface of extra forward context for both model
runner v1 and model runner v2.
- implement graph mode for main model. 

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?

- vLLM version: v0.16.0
- vLLM main:
4034c3d32e

---------

Signed-off-by: Ronald1995 <ronaldautomobile@163.com>

tests/e2e/nightly/single_node/ops/singlecard_ops/test_fused_moe.py

@@ -184,7 +184,7 @@ def test_token_dispatcher_with_all_gather_quant(
 ):
     context_mock = MagicMock()
     context_mock.fused_moe_state = 0
-    with patch("vllm_ascend.ops.fused_moe.moe_mlp.get_forward_context",
+    with patch("vllm_ascend.ascend_forward_context.get_forward_context",
                return_value=context_mock):
         a = torch.randn((m, k), device=device, dtype=dtype) / 10
         w1 = torch.randn((e, k, 2 * n), device=device, dtype=torch.int8)