[BugFix] Fix ascend config check

[wangxiyuan]

Fix the ascend config check logic:

1. refactor check_ascend_config to make it clear:
   1. torchair graph should not work with enforce_eager=True
   2. aclgraph should not work with torchair graph
2. add refresh config for rlhf case
3. fix a typo in model runner
4. change expert_tensor_parallel_size default to 0 to keep the same as before

[Yikun]

LGTM if CI passed

[NeverRaR]

this check should be moved to platform.py:check_and_update_config

[NeverRaR]

should be:

if ascend_config.torchair_graph_config.enabled:
        if envs.VLLM_MLA_DISABLE:
            logger.warning(
                "Torchair graph mode is still experimental and not supported for V1 without mla currently, "
                "it has been disabled automatically.")
            ascend_config.torchair_graph_config.enabled = False
        elif vllm_config.model_config:
            model_type = vllm_config.model_config.hf_config.model_type
            if "deepseek" not in model_type:
                raise NotImplementedError(
                    "Torchair graph mode only works with deepseek model.")

ascend_config. ascend_scheduler_config.enabled = False -> ascend_config.torchair_graph_config.enabled = False
if vllm_config.model_config: -> elif vllm_config.model_config:

[wangxiyuan]

@NeverRaR Thanks for your review. I've updated the check logic to make it more clear. Please take a look at again.

[Yikun]

QQ: Does vLLM has similar config?

[wangxiyuan]

Not, this value is only used for rlhf, for verl or someother framework, the case is:

1. verl load and update vllm config
2. verl start LLM with additional config in external_executor mode

in the fisrt step, the ascend config has been initialized, then in the second step, the additional config will be skipped.

To solve the problem, we should let verl pass refresh, the we can regenerate the config