[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>

vllm_ascend/worker/mtp_proposer_v1.py

@@ -2,12 +2,12 @@ import torch
 from vllm.attention.layer import Attention
 from vllm.config import (VllmConfig, get_layers_from_vllm_config,
                          set_current_vllm_config)
-from vllm.forward_context import set_forward_context
 from vllm.model_executor.model_loader import get_model_loader
 from vllm.model_executor.model_loader.utils import (
     process_weights_after_loading, set_default_torch_dtype)
 from vllm.v1.sample.metadata import SamplingMetadata
 
+from vllm_ascend.ascend_forward_context import set_ascend_forward_context
 from vllm_ascend.models.deepseek_mtp import CustomDeepSeekMTP
 
 
@@ -117,7 +117,7 @@ class MtpProposer:
             query_start_loc=cu_num_tokens,
         )
 
-        with set_forward_context(attn_metadata, self.vllm_config):
+        with set_ascend_forward_context(attn_metadata, self.vllm_config):
             hidden_states = self.model(
                 input_ids=input_ids,
                 positions=target_positions,