EngineX/xc-llm-ascend
3
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Drop torchair (#4814)

Browse Source 
aclgraph is stable and fast now. Let's drop torchair graph mode now.

TODO: some logic to adapt torchair should be cleaned up as well. We'll
do it in the following PR.

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Co-authored-by: Mengqing Cao <cmq0113@163.com>
This commit is contained in:
wangxiyuan
2025-12-10 09:20:40 +08:00
committed by GitHub
parent ba9cda9dfd
commit 835b4c8f1d
84 changed files with 77 additions and 16881 deletions
Download Patch File Download Diff File Expand all files Collapse all files

28
docs/source/user_guide/feature_guide/graph_mode.md
View File

@@ -10,9 +10,8 @@ This guide provides instructions for using Ascend Graph Mode with vLLM Ascend. P
From v0.9.1rc1 with V1 Engine, vLLM Ascend will run models in graph mode by default to keep the same behavior with vLLM. If you hit any issues, please feel free to open an issue on GitHub and fallback to the eager mode temporarily by setting `enforce_eager=True` when initializing the model.
There are three kinds for graph mode supported by vLLM Ascend:
There are two kinds for graph mode supported by vLLM Ascend:
- **ACLGraph**: This is the default graph mode supported by vLLM Ascend. In v0.9.1rc1, Qwen and Deepseek series models are well tested.
- **TorchAirGraph**: This is the GE graph mode. In v0.9.1rc1, only DeepSeek series models are supported.
- **XliteGraph**: This is the euler xlite graph mode. In v0.11.0, only Llama and Qwen dense serise models are supported.
## Using ACLGraph
@@ -35,29 +34,6 @@ Online example:
vllm serve Qwen/Qwen2-7B-Instruct
```
## Using TorchAirGraph
If you want to run DeepSeek series models with the graph mode, you should use [TorchAirGraph](https://www.hiascend.com/document/detail/zh/Pytorch/700/modthirdparty/torchairuseguide/torchair_0002.html). In this case, additional configuration is required.
Offline example:
```python
import os
from vllm import LLM
# TorchAirGraph only works without chunked-prefill now
model = LLM(model="path/to/DeepSeek-R1-0528", additional_config={"torchair_graph_config": {"enabled": True}})
outputs = model.generate("Hello, how are you?")
```
Online example:
```shell
vllm serve path/to/DeepSeek-R1-0528 --additional-config='{"torchair_graph_config": {"enabled": true}}'
```
You can find more details about additional configuration [here](../configuration/additional_config.md).
## Using XliteGraph
If you want to run Llama or Qwen dense series models with xlite graph mode, please install xlite, and set xlite_graph_config.
@@ -87,7 +63,7 @@ You can find more details abort xlite [here](https://gitee.com/openeuler/GVirt/b
## Fallback to the Eager Mode
If `ACLGraph`, `TorchAirGraph` and `XliteGraph` all fail to run, you should fallback to the eager mode.
If `ACLGraph` and `XliteGraph` all fail to run, you should fallback to the eager mode.
Offline example: