[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/quantization/quantizer.py

@@ -22,8 +22,7 @@ from typing import Any, Dict, List, Optional
 
 from vllm.logger import logger
 
-from .func_wrapper import (wrapper_load_model, wrapper_rmsnorm_forward_oot,
-                           wrapper_rmsnorm_init)
+from .func_wrapper import wrapper_rmsnorm_forward_oot, wrapper_rmsnorm_init
 from .w8a8 import (AscendC8KVCacheMethod, AscendW8A8FusedMoEMethod,
                    AscendW8A8LinearMethod)
 from .w8a8_dynamic import (AscendW8A8DynamicFusedMoEMethod,
@@ -81,9 +80,6 @@ class VLLMAscendQuantizer:
                 VLLMAscendQuantizer.apply_patch(
                     "vllm.model_executor.layers.layernorm.RMSNorm",
                     "forward_oot", [wrapper_rmsnorm_forward_oot])
-                VLLMAscendQuantizer.apply_patch(
-                    "vllm_ascend.worker.model_runner.NPUModelRunnerBase",
-                    "load_model", [wrapper_load_model])
                 break
         VLLMAscendQuantizer.patched = True
         logger.info("Using the vLLM Ascend Quantizer version now!")