[Bugfix] add compilation/__init__.py to fix import error (vllm-project#1152)

wangxiyuan · wangxiaoxin (A) · commit 86d818bade65 · 2025-06-17T10:20:59.000+08:00
1. Add `__init__.py` for vllm_ascend/compilation to make sure it's a
python module
2. Fix model runner bug to keep the same with vllm
3. Add release note for 0.9.0rc2

---------

Signed-off-by: wangxiyuan &lt;wangxiyuan1007@gmail.com&gt;
diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -69,10 +69,10 @@
     # the branch of vllm-ascend, used in vllm-ascend clone and image tag
     # - main branch: 'main'
     # - vX.Y.Z branch: latest vllm-ascend release tag
-    'vllm_ascend_version': 'v0.9.0rc1',
+    'vllm_ascend_version': 'v0.9.0rc2',
     # the newest release version of vllm-ascend and matched vLLM, used in pip install.
     # This value should be updated when cut down release.
-    'pip_vllm_ascend_version': "0.9.0rc1",
+    'pip_vllm_ascend_version': "0.9.0rc2",
     'pip_vllm_version': "0.9.0",
     # CANN image tag
     'cann_image_tag': "8.1.rc1-910b-ubuntu22.04-py3.10",
diff --git a/docs/source/developer_guide/versioning_policy.md b/docs/source/developer_guide/versioning_policy.md
@@ -22,6 +22,7 @@ Following is the Release Compatibility Matrix for vLLM Ascend Plugin:
 
 | vLLM Ascend | vLLM         | Python           | Stable CANN | PyTorch/torch_npu  | MindIE Turbo |
 |-------------|--------------|------------------|-------------|--------------------|--------------|
+| v0.9.0rc2   | v0.9.0       | >= 3.9, < 3.12   | 8.1.RC1     | 2.5.1 / 2.5.1      |              |
 | v0.9.0rc1   | v0.9.0       | >= 3.9, < 3.12   | 8.1.RC1     | 2.5.1 / 2.5.1      |              |
 | v0.8.5rc1   | v0.8.5.post1 | >= 3.9, < 3.12   | 8.1.RC1     | 2.5.1 / 2.5.1      |              |
 | v0.8.4rc2   | v0.8.4       | >= 3.9, < 3.12   | 8.0.0       | 2.5.1 / 2.5.1      |              |
@@ -34,6 +35,7 @@ Following is the Release Compatibility Matrix for vLLM Ascend Plugin:
 
 | Date       | Event                                     |
 |------------|-------------------------------------------|
+| 2025.06.10 | Release candidates, v0.9.0rc2             |
 | 2025.06.09 | Release candidates, v0.9.0rc1             |
 | 2025.05.29 | v0.7.x post release, v0.7.3.post1         |
 | 2025.05.08 | v0.7.x Final release, v0.7.3              |
@@ -71,6 +73,7 @@ Usually, each minor version of vLLM (such as 0.7) will correspond to a vLLM Asce
 | Branch     | Status       | Note                                 |
 |------------|--------------|--------------------------------------|
 | main       | Maintained   | CI commitment for vLLM main branch and vLLM 0.9.x branch   |
+| v0.9.1-dev | Maintained   | CI commitment for vLLM 0.9.0 and 0.9.1 version |
 | v0.7.3-dev | Maintained   | CI commitment for vLLM 0.7.3 version |
 | v0.7.1-dev | Unmaintained | Replaced by v0.7.3-dev               |
 
diff --git a/docs/source/faqs.md b/docs/source/faqs.md
@@ -3,7 +3,7 @@
 ## Version Specific FAQs
 
 - [[v0.7.3.post1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/1007)
-- [[v0.9.0rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/1115)
+- [[v0.9.0rc2] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/1115)
 
 ## General FAQs
 
@@ -69,24 +69,22 @@ If all above steps are not working, feel free to submit a GitHub issue.
 
 ### 7. How does vllm-ascend perform?
 
-Currently, only some models are improved. Such as `Qwen2 VL`, `Deepseek  V3`. Others are not good enough. In the future, we will support graph mode and custom ops to improve the performance of vllm-ascend. And when the official release of vllm-ascend is released, you can install `mindie-turbo` with `vllm-ascend` to speed up the inference as well.
+Currently, only some models are improved. Such as `Qwen2 VL`, `Deepseek  V3`. Others are not good enough. From 0.9.0rc2, Qwen and Deepseek works with graph mode to play a good performance. What's more, you can install `mindie-turbo` with `vllm-ascend v0.7.3` to speed up the inference as well.
 
 ### 8. How vllm-ascend work with vllm?
 vllm-ascend is a plugin for vllm. Basically, the version of vllm-ascend is the same as the version of vllm. For example, if you use vllm 0.7.3, you should use vllm-ascend 0.7.3 as well. For main branch, we will make sure `vllm-ascend` and `vllm` are compatible by each commit.
 
 ### 9. Does vllm-ascend support Prefill Disaggregation feature?
 
-Currently, only 1P1D is supported by vllm. For vllm-ascend, it'll be done by [this PR](https://github.com/vllm-project/vllm-ascend/pull/432). For NPND, vllm is not stable and fully supported yet. We will make it stable and supported by vllm-ascend in the future.
+Currently, only 1P1D is supported on V0 Engine. For V1 Engine or NPND support, We will make it stable and supported by vllm-ascend in the future.
 
 ### 10. Does vllm-ascend support quantization method?
 
 Currently, w8a8 quantization is already supported by vllm-ascend originally on v0.8.4rc2 or higher, If you're using vllm 0.7.3 version, w8a8 quantization is supporeted with the integration of vllm-ascend and mindie-turbo, please use `pip install vllm-ascend[mindie-turbo]`.
 
 ### 11. How to run w8a8 DeepSeek model?
 
-Currently, w8a8 DeepSeek is working in process: [support AscendW8A8 quantization](https://github.com/vllm-project/vllm-ascend/pull/511)
-
-Please run DeepSeek with BF16 now, following the [Multi-Node DeepSeek inferencing tutorail](https://vllm-ascend.readthedocs.io/en/main/tutorials/multi_node.html)
+Please following the [quantization inferencing tutorail](https://vllm-ascend.readthedocs.io/en/main/tutorials/multi_npu_quantization.html) and replace model to DeepSeek.
 
 ### 12. There is not output in log when loading models using vllm-ascend, How to solve it?
 
diff --git a/docs/source/user_guide/graph_mode.md b/docs/source/user_guide/graph_mode.md
@@ -54,7 +54,7 @@ outputs = model.generate("Hello, how are you?")
 online example:
 
 ```shell
-vllm serve Qwen/Qwen2-7B-Instruct --additional-config='{"torchair_graph_config": {"enable": True}}'
+vllm serve Qwen/Qwen2-7B-Instruct --additional-config='{"torchair_graph_config": {"enable": true}}'
 ```
 
 You can find more detail about additional config [here](./additional_config.md)
diff --git a/docs/source/user_guide/release_notes.md b/docs/source/user_guide/release_notes.md
@@ -1,5 +1,13 @@
 # Release note
 
+## v0.9.0rc2 - 2025.06.10
+
+This release contains some quick fixes for v0.9.0rc1. Please use this release instead of v0.9.0rc1.
+
+### Highlights
+
+- Fix the import error when vllm-ascend is installed without editable way. [#1152](https://github.com/vllm-project/vllm-ascend/pull/1152)
+
 ## v0.9.0rc1 - 2025.06.09
 
 This is the 1st release candidate of v0.9.0 for vllm-ascend. Please follow the [official doc](https://vllm-ascend.readthedocs.io/en/) to start the journey. From this release, V1 Engine is recommended to use. The code of V0 Engine is frozen and will not be maintained any more. Please set environment `VLLM_USE_V1=1` to enable V1 Engine.
