Commit Graph

18 Commits

Author SHA1 Message Date
SILONG ZENG
7132ae8532 [CI]Cleanup accurary test (#4861)
### What this PR does / why we need it?
Delete accuracy testing of some models:
- Qwen2-VL-7B-Instruct
- Qwen2.5-VL-7B-Instruct
- gemma-2-9b-it
- DeepSeek-V2-Lite

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

Signed-off-by: MrZ20 <2609716663@qq.com>
2025-12-10 14:13:56 +08:00
wangxiyuan
835b4c8f1d Drop torchair (#4814)
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>
2025-12-10 09:20:40 +08:00
Li Wang
cd8e5be7c7 [Bugfix] Quick hot fix for nightly CI (#4727)
Quick fix for multi-node tests

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-12-04 23:51:16 +08:00
wangxiyuan
3f4c0ea0a0 upgrade vLLM to 0.12.0 tag (#4647)
Upgrade vLLM to v0.12.0 tag

- vLLM version: 86e178f7c4d8c3b0eaf3c8e3f810a83f63b90e24
- vLLM main:
86e178f7c4

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2025-12-03 23:43:05 +08:00
wangxiyuan
7f2673ea2d upgrade vLLM to main (#4608)
1. fix https://github.com/vllm-project/vllm/pull/28542
The model structure modifications we involved in are:
     - Qwen2.5-VL(still exist some patch)
     - Qwen2-VL
     - Qwen2
     - DeepSeek series
     - Qwen-moe series
2. fix https://github.com/vllm-project/vllm/pull/29121
   the output token now  type changed from np to `list[list[int]]`

3. fix https://github.com/vllm-project/vllm/pull/29262
    `xformers` backend for multimodal now has been deprecated
4. fix https://github.com/vllm-project/vllm/pull/29342

5. fix https://github.com/vllm-project/vllm/pull/28579
6. fix https://github.com/vllm-project/vllm/pull/28718
7. fix https://github.com/vllm-project/vllm/issues/28665
8. fix https://github.com/vllm-project/vllm/pull/26847
vllm introduced the `optimization-level`, some default config has been
changed, and the param `--enforce-eager` has been deprecated
9. fix http://github.com/vllm-project/vllm/pull/29223 it retuns tuple
for sampler.
10. fix https://github.com/vllm-project/vllm/pull/29471 we'll remove the
related patch to avoid this kind of error.

Co-authored-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: wangli <wangli858794774@gmail.com>


- vLLM version: v0.11.2

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Signed-off-by: wangli <wangli858794774@gmail.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: wangli <wangli858794774@gmail.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
2025-12-02 22:10:52 +08:00
zhangxinyuehfad
b6afec73e1 [Test] Add accuracy nightly test for new models (#4262)
### What this PR does / why we need it?
Add accuracy nightly test for new models:

PaddlePaddle/ERNIE-4.5-21B-A3B-PT
LLM-Research/Molmo-7B-D-0924
LLM-Research/gemma-2-9b-it
LLM-Research/gemma-3-4b-it
Shanghai_AI_Laboratory/internlm-7b
llava-hf/llava-1.5-7b-hf

- vLLM version: v0.11.2

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2025-12-01 22:28:46 +08:00
wangxiyuan
bc69d7cfe1 upgrade to vllm 0.11.2 (#4400)
Bump vLLM version to v0.11.2

What's broken and changed by vLLM:
1. structured_output is broken by
https://github.com/vllm-project/vllm/pull/26866
2. get_mrope_input_positions is broken by
https://github.com/vllm-project/vllm/pull/28399
3. graph mode is broken by
https://github.com/vllm-project/vllm/pull/25110 we'll upgrade torch to
2.8 to fix the problem later
4. embedding is broken by
https://github.com/vllm-project/vllm/pull/27583
5. `get_attn_backend_cls` and attention backend is broken are broken by
https://github.com/vllm-project/vllm/pull/28534
6. spec decode is broken by
https://github.com/vllm-project/vllm/pull/28771
7. sp feature is broken by
https://github.com/vllm-project/vllm/pull/27126
8. mtp is broken by https://github.com/vllm-project/vllm/pull/27922
9. lora is broken by https://github.com/vllm-project/vllm/pull/21068
10. execute_model is broken by
https://github.com/vllm-project/vllm/pull/26866
11. `VLLM_DISABLE_SHARED_EXPERTS_STREAM` env is broken by
https://github.com/vllm-project/vllm/pull/28159
12. kv cahe is broken by https://github.com/vllm-project/vllm/pull/27753
13. dp is broken by https://github.com/vllm-project/vllm/pull/25110

 
What's broken and changed by ourself:
1. qwen vl is broken by https://github.com/vllm-project/vllm/pull/28455
We'll remove model files in the future to avoid this kind of error
2. Engine core is broken by
https://github.com/vllm-project/vllm/pull/23691 We'll remove the patch
file in the future.
3. Ascend scheduler is broken by
https://github.com/vllm-project/vllm/pull/28733 We'll remove ascend
scheudler later.
4. qwen3-next is broken by
https://github.com/vllm-project/vllm/pull/28083 We'll remove model files
in the future to avoid this kind of error
5. qwen vl is broken by https://github.com/vllm-project/vllm/pull/27764.
We'll remove model files in the future

Known issue:
1. ray doesn't work 
2. the accuracy of qwen3-next is not correct
3. qwen3-vl is broken
4. prefix cache+ ascend scheduler + deepseek v2 lite is broken.

Co-authored-by: MengqingCao <cmq0113@163.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: leo-pony <nengjunma@outlook.com>
Co-authored-by: 22dimensions <waitingwind@foxmail.com>
Co-authored-by: shen-shanshan <467638484@qq.com>


- vLLM version: v0.11.2

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Signed-off-by: MengqingCao <cmq0113@163.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Signed-off-by: leo-pony <nengjunma@outlook.com>
Co-authored-by: MengqingCao <cmq0113@163.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: leo-pony <nengjunma@outlook.com>
2025-11-26 11:48:58 +08:00
wangxiyuan
a1f142b7ad Drop 0.11.0 support (#4377)
There is a lot hack code for v0.11.0, which makes the code hard to
upgrade to newer vLLM version. Since v0.11.0 will release soon. Let's
drop v0.11.0 support first. Then we'll upgrade to v0.11.2 soon.


- vLLM version: v0.11.0
- vLLM main:
2918c1b49c

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2025-11-24 17:08:20 +08:00
zhangxinyuehfad
67f2b3a031 [Test] Add deepseek v3.2 exp nightly test (#4191)
### What this PR does / why we need it?

- skip the nightly image build when the github event is pull_request
- set imagepullpolicy as alway for multi_node test
- move multi_node tests ahead to have some resource clean first
- do not relevant nightly image build with nightly tests for tolerance

- vLLM version: v0.11.0
- vLLM main:
2918c1b49c

---------

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Signed-off-by: wangli <wangli858794774@gmail.com>
Co-authored-by: wangli <wangli858794774@gmail.com>
2025-11-14 15:46:10 +08:00
Li Wang
7294f89e43 [CI] Add daily images build for nightly ci (#3989)
### What this PR does / why we need it?
Given the current excessively long build time of our nightly-ci, I
recommend installing necessary, confirmed versions of packages in the
Docker image to reduce the time required for integration testing.
Including Mooncake vllm with fixed tags, This is expected to reduce
nightly-ci duration by 2 hours.

- vLLM version: v0.11.0
- vLLM main:
2918c1b49c

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-11-13 20:10:12 +08:00
zhangxinyuehfad
d40ba52454 [Fix] fix Qwen2-Audio-7B-Instruct accuracy test (#4017)
### What this PR does / why we need it?

fix Qwen2-Audio-7B-Instruct accuracy test

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.11.0
- vLLM main:
83f478bb19

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2025-11-10 11:54:18 +08:00
zhangxinyuehfad
737cad2b6b [Test] Refactor accuracy test to nightly test (#3814)
### What this PR does / why we need it?
Refactor accuracy test to nightly test

- vLLM version: v0.11.0
- vLLM main:
83f478bb19

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2025-11-06 09:06:59 +08:00
wangxiyuan
cc2cd42ad3 Upgrade CANN to 8.3.rc1 (#3945)
### What this PR does / why we need it?
This PR upgrade CANN from 8.2rc1 to 8.3rc1 and remove the CANN version
check logic.

TODO: we notice that UT runs failed with CANN 8.3 image. So the base
image for UT is still 8.2. We'll fix it later.


- vLLM version: v0.11.0
- vLLM main:
83f478bb19

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2025-11-03 20:21:07 +08:00
Li Wang
eb0a2ee2d0 [CI] Optimize nightly CI (#3898)
### What this PR does / why we need it?
This patch mainly fix the the problem of not being able to determine the
exit status of the pod's entrypoint script and some other tiny
optimizations:
1. Shorten wait for server timeout
2. fix typo
3. fix the issue of ais_bench failing to correctly access the proxy URL
in a PD separation scenario.
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?


- vLLM version: v0.11.0
- vLLM main:
83f478bb19

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-10-30 23:42:20 +08:00
jiangyunfan1
e56b0017a3 [TEST]Add aisbench log and A2 cases (#3841)
### What this PR does / why we need it?
This PR adds 2 more A2 caces which we need to test daily. It also
enhances the logging for aisbench test failures to improve issues
identification
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
By running the test

- vLLM version: v0.11.0rc3
- vLLM main:
https://github.com/vllm-project/vllm/commit/releases/v0.11.1

---------

Signed-off-by: jiangyunfan1 <jiangyunfan1@h-partners.com>
2025-10-28 23:33:15 +08:00
Li Wang
f846bd20e4 [CI] Add multi-node test case for a2 (#3805)
### What this PR does / why we need it?
This patch add multi-node test case for a2
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.11.0rc3
- vLLM main:
c9461e05a4

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-10-27 23:10:17 +08:00
Li Wang
60ee4af6d0 [CI] Add custom op to nightly (#3765)
### What this PR does / why we need it?
1. Add custom op to nightly tests, fix
https://github.com/vllm-project/vllm-ascend/pull/3665
2. Correctly pass github secrets when using workflow_call, see
https://docs.github.com/en/actions/how-tos/reuse-automations/reuse-workflows
3. Fix the single node mutual cancellation issue

- vLLM version: v0.11.0rc3
- vLLM main:
c9461e05a4

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-10-27 14:07:03 +08:00
Li Wang
7f73c28a24 [CI][Doc] Optimize multi-node CI (#3565)
### What this PR does / why we need it?
This pull request mainly do the following things:
1. Add a doc for multi-node CI, The main content is the mechanism
principle and how to contribute
2. Simplify the config yaml for more developer-friendly
3. Optimized the mooncake installation script to prevent accidental
failures during installation
4. Fix the workflow to ensure the kubernetes can be apply correctly
5. Add Qwen3-235B-W8A8 disaggregated_prefill test
6. Add GLM-4.5 multi dp test
7. Add 2p1d 4nodes disaggregated_prefill test
8. Refactor nightly tests
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?


- vLLM version: v0.11.0rc3
- vLLM main:
17c540a993

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-10-25 09:23:47 +08:00