[BugFix] Fix ascend config check #1092
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Yikun
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NeverRaR
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vllm_ascend/ascend_config.py
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| # for V1 Engine, aclgraph doesn't work with deepseek model and only qwen model is well tested. | ||
| if envs.VLLM_USE_V1 and vllm_config.model_config is not None and not enforce_eager: | ||
| if envs.VLLM_USE_V1 and vllm_config.model_config is not None and not enforce_eager and not ascend_config.torchair_graph_config.enabled: |
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this check should be moved to platform.py:check_and_update_config
NeverRaR
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Jun 5, 2025
vllm_ascend/ascend_config.py
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| 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.") |
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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:
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@NeverRaR Thanks for your review. I've updated the check logic to make it more clear. Please take a look at again. |
Yikun
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Jun 6, 2025
| | `torchair_graph_config` | dict | `{}` | The config options for torchair graph mode | | ||
| | `ascend_scheduler_config` | dict | `{}` | The config options for ascend scheduler | | ||
| | `expert_tensor_parallel_size` | str | `1` | Expert tensor parallel size the model to use. | | ||
| | `refresh` | bool | `false` | Whether to refresh global ascend config content. This value is usually used by rlhf case. | |
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QQ: Does vLLM has similar config?
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Not, this value is only used for rlhf, for verl or someother framework, the case is:
- verl load and update vllm config
- 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
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Signed-off-by: wangxiyuan <[email protected]>
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venus-taibai
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Jun 18, 2025
…llm-project#1092) Merge branch wengang/cherry-pick-1029-1092 of [email protected]:Theta/vllm-ascend.git into dev-v0.9.0604 https://code.alipay.com/Theta/vllm-ascend/pull_requests/108 Reviewed-by: 子宏 <[email protected]> * [Misc] Refactor additional_config (vllm-project#1029) * [BugFix] Fix ascend config check (vllm-project#1092) * [Misc] Update benchmark scripts
chopper0126
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Oct 16, 2025
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
3. add refresh config for rlhf case
4. fix a typo in model runner
5. change expert_tensor_parallel_size default to 0 to keep the same as
before
Signed-off-by: wangxiyuan <[email protected]>
Angazenn
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Oct 21, 2025
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
3. add refresh config for rlhf case
4. fix a typo in model runner
5. change expert_tensor_parallel_size default to 0 to keep the same as
before
Signed-off-by: wangxiyuan <[email protected]>
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Fix the ascend config check logic: