[Release] Add release note for v0.10.2

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>

Author: wangxiyuan

.github/workflows/vllm_ascend_test_full.yaml

@@ -21,7 +21,7 @@ on:
     branches:
       - 'main'
       - '*-dev'
-    types: [ labeled ]
+    types: [ labeled, synchronize ]
 
 # Bash shells do not use ~/.profile or ~/.bashrc so these shells need to be explicitly
 # declared as "shell: bash -el {0}" on steps that need to be properly activated.

README.md

@@ -52,7 +52,7 @@ Please use the following recommended versions to get started quickly:
 
 | Version    | Release type | Doc                                  |
 |------------|--------------|--------------------------------------|
-|v0.10.1rc1|Latest release candidate|[QuickStart](https://vllm-ascend.readthedocs.io/en/latest/quick_start.html) and [Installation](https://vllm-ascend.readthedocs.io/en/latest/installation.html) for more details|
+|v0.10.2rc1|Latest release candidate|[QuickStart](https://vllm-ascend.readthedocs.io/en/latest/quick_start.html) and [Installation](https://vllm-ascend.readthedocs.io/en/latest/installation.html) for more details|
 |v0.9.1|Latest stable version|[QuickStart](https://vllm-ascend.readthedocs.io/en/v0.9.1-dev/quick_start.html) and [Installation](https://vllm-ascend.readthedocs.io/en/v0.9.1-dev/installation.html) for more details|
 
 ## Contributing

README.zh.md

@@ -53,7 +53,7 @@ vLLM 昇腾插件 (`vllm-ascend`) 是一个由社区维护的让vLLM在Ascend NP
 
 | Version    | Release type | Doc                                  |
 |------------|--------------|--------------------------------------|
-|v0.10.1rc1| 最新RC版本 |请查看[快速开始](https://vllm-ascend.readthedocs.io/en/latest/quick_start.html)和[安装指南](https://vllm-ascend.readthedocs.io/en/latest/installation.html)了解更多|
+|v0.10.2rc1| 最新RC版本 |请查看[快速开始](https://vllm-ascend.readthedocs.io/en/latest/quick_start.html)和[安装指南](https://vllm-ascend.readthedocs.io/en/latest/installation.html)了解更多|
 |v0.9.1| 最新正式/稳定版本 |[快速开始](https://vllm-ascend.readthedocs.io/en/v0.9.1-dev/quick_start.html) and [安装指南](https://vllm-ascend.readthedocs.io/en/v0.9.1-dev/installation.html)了解更多|
 
 ## 贡献

docs/source/community/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 |
 |-------------|--------------|------------------|-------------|--------------------|--------------|
+| v0.10.2rc1  | v0.10.2      | >= 3.9, < 3.12   | 8.2.RC1     | 2.7.1 / 2.7.1.dev20250724            |              |
 | v0.10.1rc1  | v0.10.1/v0.10.1.1 | >= 3.9, < 3.12   | 8.2.RC1     | 2.7.1 / 2.7.1.dev20250724            |              |
 | v0.10.0rc1  | v0.10.0      | >= 3.9, < 3.12   | 8.2.RC1     | 2.7.1 / 2.7.1.dev20250724            |              |
 | v0.9.2rc1   | v0.9.2       | >= 3.9, < 3.12   | 8.1.RC1     | 2.5.1 / 2.5.1.post1.dev20250619      |              |
@@ -41,7 +42,8 @@ Following is the Release Compatibility Matrix for vLLM Ascend Plugin:
 ### release window
 
 | Date       | Event                                     |
-|------------|-------------------------------------------|
+|------------|-------------------------------------------|、
+| 2025.09.15| Release candidates, v0.10.2rc1            |
 | 2025.09.04 | Release candidates, v0.10.1rc1            |
 | 2025.09.03 | v0.9.1 Final release                      |
 | 2025.08.22 | Release candidates, v0.9.1rc3             |

docs/source/conf.py

@@ -65,15 +65,15 @@
     # the branch of vllm, used in vllm clone
     # - main branch: 'main'
     # - vX.Y.Z branch: 'vX.Y.Z'
-    'vllm_version': 'v0.10.1.1',
+    'vllm_version': 'v0.10.2',
     # 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': 'v0.10.1rc1',
+    'vllm_ascend_version': 'v0.10.2rc1',
     # 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': "0.10.1rc1",
-    'pip_vllm_version': "0.10.1.1",
+    'pip_vllm_ascend_version': "0.10.2rc1",
+    'pip_vllm_version': "v0.10.2",
     # CANN image tag
     'cann_image_tag': "8.2.rc1-910b-ubuntu22.04-py3.11",
     # vllm version in ci

docs/source/faqs.md

@@ -3,7 +3,7 @@
 ## Version Specific FAQs
 
 - [[v0.9.1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/2643)
-- [[v0.10.1rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/2630)
+- [[v0.10.2rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/2874)
 
 ## General FAQs
 

docs/source/user_guide/release_notes.md

@@ -1,5 +1,40 @@
 # Release note
 
+## v0.10.2rc1 - 2025.09.15
+
+This is the 1st release candidate of v0.10.2 for vLLM Ascend. Please follow the [official doc](https://vllm-ascend.readthedocs.io/en/) to get started.
+
+### Highlights
+
+- Add support for Qwen3 Next. Please note that expert parallel and MTP feature doesn't work with this release. The server may crash in some case as well. We'll make it stable enough soon. Follow the [official guide](https://vllm-ascend.readthedocs.io/en/latest/tutorials/multi_npu_qwen3_next.html) to get start [#2917](https://github.com/vllm-project/vllm-ascend/pull/2917)
+- Add quantization support for aclgraph [#2841](https://github.com/vllm-project/vllm-ascend/pull/2841)
+
+### Core
+
+- Aclgraph now works with Ray backend. [#2589](https://github.com/vllm-project/vllm-ascend/pull/2589)
+- MTP now works with the token > 1. [#2708](https://github.com/vllm-project/vllm-ascend/pull/2708)
+- Qwen2.5 VL now works with quantization. [#2778](https://github.com/vllm-project/vllm-ascend/pull/2778)
+- Improved the performance with async scheduler enabled. [#2783](https://github.com/vllm-project/vllm-ascend/pull/2783)
+- Fixed the performance regression with non MLA model when use default scheduler. [#2894](https://github.com/vllm-project/vllm-ascend/pull/2894)
+
+### Other
+- The performance of w8a8 quantization is improved. [#2275](https://github.com/vllm-project/vllm-ascend/pull/2275)
+- The performance of moe model is improved. [#2689](https://github.com/vllm-project/vllm-ascend/pull/2689) [#2842](https://github.com/vllm-project/vllm-ascend/pull/2842)
+- Fixed resources limit error when apply speculative decoding and aclgraph. [#2472](https://github.com/vllm-project/vllm-ascend/pull/2472)
+- Fixed the git config error in docker images. [#2746](https://github.com/vllm-project/vllm-ascend/pull/2746)
+- Fixed the sliding windows attention bug with prefill. [#2758](https://github.com/vllm-project/vllm-ascend/pull/2758)
+- The official doc for Prefill Decode Disaggregation with Qwen3 is added. [#2751](https://github.com/vllm-project/vllm-ascend/pull/2751)
+- `VLLM_ENABLE_FUSED_EXPERTS_ALLGATHER_EP` env works again. [#2740](https://github.com/vllm-project/vllm-ascend/pull/2740)
+- A new improvement for oproj in deepseek is added. Set `oproj_tensor_parallel_size` to enable this feature[#2167](https://github.com/vllm-project/vllm-ascend/pull/2167)
+- Fix a bug that deepseek with torchair doesn't work as expect when `graph_batch_sizes` is set. [#2760](https://github.com/vllm-project/vllm-ascend/pull/2760)
+- Avoid duplicate generation of sin_cos_cache in rope when kv_seqlen > 4k. [#2744](https://github.com/vllm-project/vllm-ascend/pull/2744)
+- The performance of Qwen3 dense model is improved with flashcomm_v1. Set `VLLM_ASCEND_ENABLE_DENSE_OPTIMIZE=1` and `VLLM_ASCEND_ENABLE_FLASHCOMM=1` to enable it. [#2779](https://github.com/vllm-project/vllm-ascend/pull/2779)
+- The performance of Qwen3 dense model is improved with prefetch feature. Set `VLLM_ASCEND_ENABLE_PREFETCH_MLP=1` to enable it. [#2816](https://github.com/vllm-project/vllm-ascend/pull/2816)
+- The performance of Qwen3 MoE model is improved with rope ops update. [#2571](https://github.com/vllm-project/vllm-ascend/pull/2571)
+- Fix the weight load error for RLHF case. [#2756](https://github.com/vllm-project/vllm-ascend/pull/2756)
+- Add warm_up_atb step to speed up the inference. [#2823](https://github.com/vllm-project/vllm-ascend/pull/2823)
+- Fixed the aclgraph steam error for moe model. [#2827](https://github.com/vllm-project/vllm-ascend/pull/2827)
+
 ## v0.10.1rc1 - 2025.09.04
 
 This is the 1st release candidate of v0.10.1 for vLLM Ascend. Please follow the [official doc](https://vllm-ascend.readthedocs.io/en/) to get started.