[main][refactor] Refactoring forward_context and model_runner_v1 (#1979)

### What this PR does / why we need it?

A refactoring of forward_context and model_runner_v1, add some context
which is necessary in model inference into forward_context, and refactor
dummy_run logic, make it more reasonable.
Some details for this PR:

Add `ascend_forward_context`;
Update mc2_v2 op, and support `active_mask` param;
Update scripts in examples dir;
refactor `dummy_run` logic;
Add soc_version for A2 and A3;

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

No change at user-facing.

### How was this patch tested?


- vLLM version: v0.10.0
- vLLM main:
57c22e57f9

Signed-off-by: zzzzwwjj <1183291235@qq.com>

examples/offline_dualbatch_overlap_npu.py

@@ -21,6 +21,7 @@ def main():
               tensor_parallel_size=2,
               max_model_len=4096,
               trust_remote_code=True,
+              enable_expert_parallel=True,
               additional_config={
                   "torchair_graph_config": {
                       "enabled": False
@@ -28,7 +29,6 @@ def main():
                   "ascend_scheduler_config": {
                       "enabled": True
                   },
-                  "expert_tensor_parallel_size": 1
               })
 
     # Generate texts from the prompts. The output is a list of RequestOutput