There is a lot torchair specified logic in common code. It results hard
code maintenance. We will create a new torchair module to launch
torchair related logic there. I plan to add 4 PR.
1. Refactor worker
2. Refactor utils (this PR)
- simple change that move all torchair related util function to torchair
module
3. Refactor model_runner
4. Refactor attention
- vLLM version: v0.9.2
- vLLM main:
8188196a1c
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
The file `offline_distributed_inference_npu.py` is the same as
`offline_inference_npu_tp2.py`, thus we delete one of them.
This PR is a part of
https://github.com/vllm-project/vllm-ascend/issues/1620.
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.9.2
- vLLM main:
8188196a1c
Signed-off-by: shen-shanshan <467638484@qq.com>
There is a lot torchair specified logic in common code. It results hard
code maintenance. We will create a new torchair module to launch
torchair related logic there. I plan to add 4 PR.
1. Refactor worker (this PR)
- create torchair module and move torchair related code in worker to the
new module
3. Refactor utils
4. Refactor model_runner
5. Refactor attention
- vLLM version: v0.9.2
- vLLM main:
8188196a1c
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
This PR adds a complete Chinese translation for the documentation using
PO files and the gettext toolchain. The goal is to make the
documentation more accessible to Chinese-speaking users and help the
community grow.
### Does this PR introduce any user-facing change?
Yes. This PR introduces Chinese documentation, which users can access
alongside the original English documentation. No changes to the core
code or APIs.
### How was this patch tested?
The translated documentation was built locally using the standard
documentation build process (`make html` or `sphinx-build`). I checked
the generated HTML pages to ensure the Chinese content displays
correctly and matches the original structure. No code changes were made,
so no additional code tests are required.
vLLM version: v0.9.2
vLLM main: vllm-project/vllm@5780121
---
Please review the translation and let me know if any improvements are
needed. I am happy to update the translation based on feedback.
- vLLM version: v0.9.2
- vLLM main:
7ba34b1241
---------
Signed-off-by: aidoczh <aidoczh@163.com>
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
Co-authored-by: Yikun Jiang <yikunkero@gmail.com>
### What this PR does / why we need it?
Remove ETP/EP maintained in branch main. We drop this as there is no
relevant scenarios to use ETP now, and we may subsequently advocate
implementing expert tensor parallelism in vLLM to support scenarios
where the expert is needed to be sliced
This is a part of #1422 backport.
Fixes https://github.com/vllm-project/vllm-ascend/issues/1396https://github.com/vllm-project/vllm-ascend/issues/1154
### Does this PR introduce _any_ user-facing change?
We'll not maintain etp/ep in vllm-ascend anymore, and use the tp/ep in
vllm instead.
### How was this patch tested?
CI passed with new added and existing test.
- vLLM version: v0.9.2
- vLLM main:
fe8a2c544a
Signed-off-by: MengqingCao <cmq0113@163.com>
vLLM commit
752c6ade2e
removed `blocksparse_params` for attention backend. This PR does the
same change to make CI happy.
- vLLM version: v0.9.2
- vLLM main:
9499e26e2a
---------
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
Co-authored-by: Yikun Jiang <yikunkero@gmail.com>
1. vLLM commit
45badd05d0
changed the pooling check logic which broken vLLM Ascend.
2. vLLM commit
3e04107d97
requires higher version of transformers. The transformers version bug
has been fixed by
e936e401de.
We can safe to remove the version limit now.
3. vLLM commit
217937221b
added a new input `enable_eplb` for FusedMoe Ops
This PR fix the broken CI.
- vLLM version: v0.9.2
- vLLM main:
6a971ed692
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
Fix e2e data parallel test: add resource release code and give more time
to engine to pause their processing loops before exiting.
### Does this PR introduce _any_ user-facing change?
No
- vLLM version: v0.9.2
- vLLM main:
5895afd780
Signed-off-by: leo-pony <nengjunma@outlook.com>
### What this PR does / why we need it?
Before patch, we can see
`vllm_ascend.models.deepseek_v2:CustomDeepseekV3ForCausalLM`, it seems
not friendly format.
```
WARNING 07-14 23:57:34 [registry.py:413] Model architecture DeepseekV2ForCausalLM is already registered, and will be overwritten by the new model class vllm_ascend.models.deepseek_v2:CustomDeepseekV2ForCausalLM.
WARNING 07-14 23:57:34 [registry.py:413] Model architecture DeepseekV3ForCausalLM is already registered, and will be overwritten by the new model class vllm_ascend.models.deepseek_v2:CustomDeepseekV3ForCausalLM.
WARNING 07-14 23:57:34 [registry.py:413] Model architecture Qwen3MoeForCausalLM is already registered, and will be overwritten by the new model class vllm_ascend.models.qwen3_moe:CustomQwen3MoeForCausalLM.
```
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Local Test.
- vLLM version: v0.9.2
- vLLM main:
bcdfb2a330
Signed-off-by: xleoken <xleoken@163.com>
### What this PR does / why we need it?
maybe fixes
[#1728](https://github.com/vllm-project/vllm-ascend/issues/1728#issuecomment-3065083433)
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Test Qwen3-32B tp=4 with:
```bash
vllm serve --port 1234 Qwen/Qwen3-32B \
--served-model-name Qwen3-32B \
--tensor-parallel-size 4 \
--swap-space 16 \
--max-model-len 6000 \
--load-format dummy \
--disable-log-stats \
--disable-log-requests \
```
Request batch_size=128 input/output token=1024
**In 0.9.2rc1**
```text
=====================================================
Total TPS with prefill(tokens/s) : 785.1395
Total TPS without prefill : 846.6809
Mean TPS with prefill : 6.1339
Mean TPS without prefill : 6.6147
=====================================================
Mean TTFT(ms) : 10307.8123
Max TTFT(ms) : 21423.0733
Min TTFT(ms) : 362.3602
=====================================================
Mean TPOT(ms) : 151.3051
Max TPOT(ms) : 159.4649
Min TPOT(ms) : 140.899
=====================================================
Total Time(s) : 175.6032
Request Throughput(requests/s) : 0.7289
=====================================================
```
**Apply this PR**
```text
=====================================================
Total TPS with prefill(tokens/s) : 811.0014
Total TPS without prefill : 876.4423
Mean TPS with prefill : 6.3359
Mean TPS without prefill : 6.8472
=====================================================
Mean TTFT(ms) : 10263.8382
Max TTFT(ms) : 21151.2547
Min TTFT(ms) : 375.9136
=====================================================
Mean TPOT(ms) : 146.1686
Max TPOT(ms) : 154.0957
Min TPOT(ms) : 136.8879
=====================================================
Total Time(s) : 169.8579
Request Throughput(requests/s) : 0.7536
=====================================================
```
The TPOT performance gap between these two sets of data is about 3%.
- vLLM version: v0.9.2
- vLLM main:
8dfb45ca33
Signed-off-by: lianyibo <lianyibo1@kunlunit.com>
### What this PR does / why we need it?
We'll refator `CustomOp` in vllm-ascend from this pr on.
Use function `CustomOp.register_oot` to achieve the customop registery,
taking `AscendQuickGELU` as an example:
```python
from vllm_ascend.ops.activation import AscendQuickGELU
CustomOp.register_oot(_decorated_op_cls=AscendQuickGELU, name="QuickGELU")
```
This is a quick adapt for `CustomOp.register_oot` mechanism from vllm
0.9.2. For further step, we can remove inherit from `QuickGELU` can
write our own `QuickGELU` at all.
Part of https://github.com/vllm-project/vllm-ascend/pull/1647
- vLLM version: v0.9.2
- vLLM main:
8dfb45ca33
---------
Signed-off-by: MengqingCao <cmq0113@163.com>
### What this PR does / why we need it?
This PR introduce the infra cache server to speed up apt/pip package
installation
### Does this PR introduce _any_ user-facing change?
None
### How was this patch tested?
Tested locally, with this config, the network bandwith reduce from 100%
to 5% usage when a new PR was submitted.
<img width="807" height="334" alt="image"
src="https://github.com/user-attachments/assets/16f03bce-4531-4c71-ab6e-8308dc2c022c"
/>
- vLLM version: v0.9.2
- vLLM main:
8dfb45ca33
---------
Signed-off-by: mywaaagh_admin <pkwarcraft@gmail.com>
### What this PR does / why we need it?
test func wrapper file
### Does this PR introduce _any_ user-facing change?
N/A
### How was this patch tested?
CI passed with new added test.
- vLLM version: v0.9.2
- vLLM main:
8dfb45ca33
Signed-off-by: lixudong <lixudong@cmss.chinamobile.com>
### What this PR does / why we need it?
Add graph mode and improve on multi_npu_moge.md
### Does this PR introduce _any_ user-facing change?
yes
### How was this patch tested?
CI passed with new existing test.
- vLLM version: v0.9.2
- vLLM main:
5a7fb3ab9e
Signed-off-by: GDzhu01 <809721801@qq.com>
### What this PR does / why we need it?
Add `__main__` guard to all offline examples.
- vLLM version: v0.9.2
- vLLM main:
76b494444f
---------
Signed-off-by: shen-shanshan <467638484@qq.com>
### What this PR does / why we need it?
Add `fusion_result.json` to `.gitignore`.
- vLLM version: v0.9.2
- vLLM main:
72ad273582
---------
Signed-off-by: shen-shanshan <467638484@qq.com>
There are some duplicate tests for ascend scheduler. This PR remove them
to make the test clear.
After this PR. the singlecard e2e cost time is reduced from 47min to
46min.
- vLLM version: v0.9.2
- vLLM main:
1eb2b9c102
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
Remove redundant empty lines in commit msg
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
test locally: https://github.com/Yikun/vllm-ascend/pull/48
- vLLM version: v0.9.2
- vLLM main:
d0dc4cfca4
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
V1 is enabled by default, no need to set it by hand now. This PR remove
the useless setting in example and tests
- vLLM version: v0.9.2
- vLLM main:
9ad0a4588b
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
### Does this PR introduce _any_ user-facing change?
Pin docker image to latest release
### How was this patch tested?
- vLLM version: v0.9.2
- vLLM main:
1e9438e0b0
Signed-off-by: wangli <wangli858794774@gmail.com>
### What this PR does / why we need it?
Resolve vllm-ascend version for accuracy test
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.9.2
- vLLM main:
66f6fbd393
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
### What this PR does / why we need it?
Add `include` dir to `.gitignore`.
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.9.2
- vLLM main:
66f6fbd393
Signed-off-by: shen-shanshan <467638484@qq.com>
### What this PR does / why we need it?
This pr purpose to do the following things:
1. Remove `benchmark_datasets.py` patch
2. Increase the scheduler frequency to 2 times per day, due to the
recent large number of daily submissions, we need to increase the
default test time(6h)
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.9.2
- vLLM main:
247102f07f
---------
Signed-off-by: wangli <wangli858794774@gmail.com>
### What this PR does / why we need it?
Update README.zh.md to fix typo
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI passed
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
### What this PR does / why we need it?
Rename offline_inference_npu_v1.py to offline_inference_npu.py to
recover doctest
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI passed
- vLLM version: v0.9.2
- vLLM main:
a8593237c0
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
### What this PR does / why we need it?
Add recommend version and contribution.md
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI passed
- vLLM version: v0.9.2
- vLLM main:
890323dc1b
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
There is still issue with pp in some case. such as aclgraph, ray. Remove
the related doc in release note
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
1. Add the tutorials for qwen3-embedding-8b
2. Remove VLLM_USE_V1=1 in docs, it's useless any more from 0.9.2
- vLLM version: v0.9.2
- vLLM main:
5923ab9524
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
Add accuracy ci for DP and EP and TP
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.9.2
- vLLM main:
35514b682a
---------
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
### What this PR does / why we need it?
Performance optimization for apply_top_k_top_p
### Does this PR introduce _any_ user-facing change?
Use VLLM_ASCEND_ENABLE_TOPK_TOPP_OPTIMIZATION to enable this feature
### How was this patch tested?
e2e & ut
- vLLM version: v0.9.2
- vLLM main:
6a9e6b2abf
Signed-off-by: Pr0Wh1teGivee <calvin_zhu0210@outlook.com>
### What this PR does / why we need it?
This patch supports pipeline parallel in V1 Engine
### Does this PR introduce _any_ user-facing change?
Yes, users can run PP in V1
### How was this patch tested?
Manully test
- vLLM version: v0.9.2
- vLLM main:
31d5c1797f
Signed-off-by: weiguihua2 <weiguihua2@huawei.com>
