39 Commits

Author SHA1 Message Date
Li Wang
8e3f8bab57 [Nightly] Nightly pre-build image (#7388)
### What this PR does / why we need it?
This pull request refactor nightly image build and simplify the logic of
multi workflows.
1. Nightly image build become the prerequisite when the test are
triggered by `schedule` or `workflow_dispatch`
2. Simplify the pull request select case logic
3. Next step: Implement replaceable nightly tests. Specifically, if
nightly tests are manually triggered, they can accept any optional
docker image to meet the needs of different commits(Which means the
image is customizable).
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.17.0
- vLLM main:
4034c3d32e

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-03-25 09:24:01 +08:00
zhangxinyuehfad
886756aea0 [Bugfix][CI] Fix aisbench installation to avoid Gitee authentication (#7536)
### What this PR does / why we need it?
- Pass GITEE_USERNAME (var) and GITEE_TOKEN (secret) as Docker build
  args in nightly image build so Dockerfile can authenticate to Gitee
- In Dockerfile.nightly.a2/a3, embed credentials into clone URL to
  avoid auth failure during `git clone`
- In single-node and multi-node PR test workflows, backup the
  pre-installed benchmark from the nightly image before wiping
  vllm-ascend, then restore it instead of re-cloning from Gitee,
  which is inaccessible from fork PR contexts

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

### How was this patch tested?

- vLLM version: v0.18.0
- vLLM main:
8b6325758c

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-03-23 20:16:51 +08:00
meihanc
bff4fbfca5 upgrade to 0.18.0 (#7502)
### What this PR does / why we need it?
1. upgrade to 0.18.0
2. ensure kernel_block_sizes is int for Eagle drafter
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.17.0
- vLLM main:
8b6325758c

---------

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
2026-03-21 16:05:38 +08:00
Li Wang
6ad74e8c80 [CI] Add git safe repo (#7501)
### What this PR does / why we need it?
Add git safe repo to avoid dubious ownership error

- vLLM version: v0.17.0
- vLLM main:
8b6325758c
---------
Signed-off-by: wangli <wangli858794774@gmail.com>
2026-03-20 16:40:24 +08:00
Mengqing Cao
986cd45397 [Version] Drop 0.16.0 support (#7153)
### What this PR does / why we need it?
Drop 0.16.0 support in main
- Fix eagle proposer break introduced by
https://github.com/vllm-project/vllm/pull/34552. Mainly change to use
the draft attention group to initialize the attention metadata builder.
- Fix the `ModelRunner` has no attribute `cudagraph_capture_sizes`
error, which is a bug in vLLM v0.17.0, and fixed by a later pr
https://github.com/vllm-project/vllm/pull/30515

- vLLM version: v0.16.0
- vLLM main:
4034c3d32e
---------
Signed-off-by: MengqingCao <cmq0113@163.com>
2026-03-13 16:14:15 +08:00
Li Wang
1f71da80eb [CI] Fix server start failure when long weight loading (#7098)
### What this PR does / why we need it?
When loading large models (e.g., 163 shards), weight loading can exceed
the default 600s timeout. Engine startup timeout with the error:
```shell
TimeoutError: Timed out waiting for engines to send initial message on input socket.
```
We should increase the `VLLM_ENGINE_READY_TIMEOUT_S ` to avoid it
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.16.0
- vLLM main:
4034c3d32e

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-03-13 08:52:56 +08:00
tfhddd
21fea86b08 feat: [CI] Introduce uv to accelerate pip install (#7127)
### What this PR does / why we need it?
Integrates uv: Significantly accelerates pip install execution and
resolves concurrency issues caused by traditional pip caching
mechanisms.

Why pip install uc-manager is explicitly added:
This project depends on uc-manager. However, installing it via uv pip
install uc-manager currently fails due to a known issue. An issue has
already been filed with the upstream uv repository to address this.
Consequently, we explicitly invoke pip install uc-manager as a temporary
workaround to ensure the build succeeds.
https://github.com/ModelEngine-Group/unified-cache-management/issues/736

Why use UV_SYSTEM_PYTHON: 1:
No virtual environment has been created yet; this configuration has the
same effect as directly using `pip install`.

- vLLM version: v0.16.0
- vLLM main:
15d76f74e2

Signed-off-by: tfhddd <2272751277@qq.com>
2026-03-12 16:47:23 +08:00
zhangxinyuehfad
1e4017e3fa [CI] support nightly ci for per pr by labels (#6483)
### What this PR does / why we need it?

This PR refactors the nightly CI workflows (A2 and A3) to support
running tests against a specific PR's code, in addition to the existing
scheduled/dispatch runs using pre-built images.

#### Motivation:
Previously, nightly tests could only be triggered by schedule or
workflow_dispatch, always using the pre-built nightly image. This change
allows developers to trigger nightly tests against their own PR's source
code, enabling early validation without waiting for a nightly build.

#### Changes
Trigger logic (parse-trigger job)

A new parse-trigger job is introduced in both
schedule_nightly_test_a2.yaml and schedule_nightly_test_a3.yaml to
centralize trigger evaluation:

`schedule / workflow_dispatch`: runs all tests with the pre-built image
(existing behavior preserved)
`pull_request (labeled + synchronize)`: runs only when:The PR has the
nightly-test label, and /nightly [test-names] comment exists (latest one
wins)

1. /nightly or /nightly all — runs all tests
2. /nightly test1 test2 — runs only named tests (comma-wrapped for exact
matching)

#### How to trigger
1. Add the nightly-test label to your PR
2. Comment /nightly (all tests) or /nightly test1 test2 (specific tests)
4. Re-triggering: add another /nightly comment and push a new commit
(synchronize event)

### Does this PR introduce _any_ user-facing change?
None

### How was this patch tested?

- vLLM version: v0.14.1
- vLLM main:
dc917cceb8

---------

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-03-05 16:46:37 +08:00
SILONG ZENG
95b44d7b73 [bugfix]fix file not found error in nightly of single-node (#6976)
### What this PR does / why we need it?
1. The **main image build** takes approximately **two hours**. The main
image build time needs to be moved forward to **21pm(UTC+8)** to ensure
that the nightly image build can use the latest main image.
``` bash
schedule:
   # UTC+8: 8am, 12pm, 16pm, 22pm
   - cron: '0 0,4,8,14 * * *'
```
--->
``` bash
schedule:
   # UTC+8: 8am, 12pm, 16pm, 21pm
   - cron: '0 0,4,8,13 * * *'
```
Link:
https://github.com/vllm-project/vllm-ascend/actions/runs/22632712302/job/65641055135#step:8:26

2. The nightly test is encountering the following error: 
``` bash
ImportError: ascend_transport.so: cannot open shared object file: No such file or directory.
```
Path need to be added:
``` bash
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib" >> ~/.bashrc
```
Link:
https://github.com/vllm-project/vllm-ascend/actions/runs/22632712302/job/65641054911#step:7:529
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.16.0
- vLLM main:
15d76f74e2

---------

Signed-off-by: MrZ20 <2609716663@qq.com>
2026-03-04 11:47:26 +08:00
SILONG ZENG
859f2c25b9 [Nightly][Refactor]Migrate nightly single-node model tests from .py to .yaml (#6503)
### What this PR does / why we need it?
This PR refactors the nightly single-node model test by migrating test
configurations from Python scripts to a more maintainable `YAML-based`
format.

| Original PR | Python (`.py`) | YAML (`.yaml`) |
| :--- | :--- | :--- |
| [#3568](https://github.com/vllm-project/vllm-ascend/pull/3568) |
`test_deepseek_r1_0528_w8a8_eplb.py` | `DeepSeek-R1-0528-W8A8.yaml` |
| [#3631](https://github.com/vllm-project/vllm-ascend/pull/3631) |
`test_deepseek_r1_0528_w8a8.py` | `DeepSeek-R1-0528-W8A8.yaml` |
| [#5874](https://github.com/vllm-project/vllm-ascend/pull/5874) |
`test_deepseek_r1_w8a8_hbm.py` | `DeepSeek-R1-W8A8-HBM.yaml` |
| [#3908](https://github.com/vllm-project/vllm-ascend/pull/3908) |
`test_deepseek_v3_2_w8a8.py` | `DeepSeek-V3.2-W8A8.yaml` |
| [#5682](https://github.com/vllm-project/vllm-ascend/pull/5682) |
`test_kimi_k2_thinking.py` | `Kimi-K2-Thinking.yaml` |
| [#4111](https://github.com/vllm-project/vllm-ascend/pull/4111) |
`test_mtpx_deepseek_r1_0528_w8a8.py` | `MTPX-DeepSeek-R1-0528-W8A8.yaml`
|
| [#3733](https://github.com/vllm-project/vllm-ascend/pull/3733) |
`test_prefix_cache_deepseek_r1_0528_w8a8.py` |
`Prefix-Cache-DeepSeek-R1-0528-W8A8.yaml` |
| [#6543](https://github.com/vllm-project/vllm-ascend/pull/6543) |
`test_qwen3_235b_w8a8.py` | `Qwen3-235B-A22B-W8A8.yaml` |
| [#6543](https://github.com/vllm-project/vllm-ascend/pull/6543) |
`test_qwen3_235b_a22b_w8a8_eplb.py` | `Qwen3-235B-A22B-W8A8.yaml` |
| [#3973](https://github.com/vllm-project/vllm-ascend/pull/3973) |
`test_qwen3_30b_w8a8.py` | `Qwen3-30B-A3B-W8A8.yaml` |
| [#3541](https://github.com/vllm-project/vllm-ascend/pull/3541) |
`test_qwen3_32b_int8.py` | `Qwen3-32B-Int8.yaml` |
| [#3757](https://github.com/vllm-project/vllm-ascend/pull/3757) |
`test_qwq_32b.py` | `QwQ-32B.yaml` |
| [#5616](https://github.com/vllm-project/vllm-ascend/pull/5616) |
`test_qwen3_next_w8a8.py` | `Qwen3-Next-80B-A3B-Instruct-W8A8.yaml` |
| [#3541](https://github.com/vllm-project/vllm-ascend/pull/3541) |
`test_qwen2_5_vl_7b.py` | `Qwen2.5-VL-7B-Instruct.yaml` |
| [#5301](https://github.com/vllm-project/vllm-ascend/pull/5301) |
`test_qwen2_5_vl_7b_epd.py` | `Qwen2.5-VL-7B-Instruct-EPD.yaml` |
| [#3707](https://github.com/vllm-project/vllm-ascend/pull/3707) |
`test_qwen2_5_vl_32b.py` | `Qwen2.5-VL-32B-Instruct.yaml` |
| [#3676](https://github.com/vllm-project/vllm-ascend/pull/3676) |
`test_qwen3_32b_int8_a3_feature_stack3.py` |
`Qwen3-32B-Int8-A3-Feature-Stack3.yaml` |
| [#3709](https://github.com/vllm-project/vllm-ascend/pull/3709) |
`test_prefix_cache_qwen3_32b_int8.py` |
`Prefix-Cache-Qwen3-32B-Int8.yaml` |
| [#5395](https://github.com/vllm-project/vllm-ascend/pull/5395) |
`test_qwen3_next.py` | `Qwen3-Next-80B-A3B-Instruct-A2.yaml` |
| [#3474](https://github.com/vllm-project/vllm-ascend/pull/3474) |
`test_qwen3_32b.py` | `Qwen3-32B.yaml` |
| [#3541](https://github.com/vllm-project/vllm-ascend/pull/3541) |
`test_qwen3_32b_int8.py` | `Qwen3-32B-Int8-A2.yaml` |
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.15.0
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.15.0

---------

Signed-off-by: MrZ20 <2609716663@qq.com>
2026-03-03 20:13:43 +08:00
Xiaoshuang Wang
f7a8befc20 [CI] Upgrade CANN to 8.5.1 (#6897)
### What this PR does / why we need it?
[CI] Upgrade CANN to 8.5.1

### Does this PR introduce _any_ user-facing change?
N/A

### How was this patch tested?
CI passed with existing test.


- vLLM version: v0.16.0
- vLLM main:
15d76f74e2

Signed-off-by: wxsIcey <1790571317@qq.com>
2026-03-03 09:02:42 +08:00
Li Wang
8969b94a14 [Nightly] Correct nightly image build ref (#6420)
### What this PR does / why we need it?
The underlying tags for nightly image builds have been corrected, and
some useless and confusing workflow fields have been removed.

- vLLM version: v0.14.1
- vLLM main:
dc917cceb8

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-30 15:55:58 +08:00
wangxiyuan
f8e76a49fa [CI] Upgrade trasnformers version (#6307)
Upgrade transformers to >=4.56.4

- vLLM version: v0.14.1
- vLLM main:
dc917cceb8

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-28 14:06:39 +08:00
wangxiyuan
69740039b7 [CI] Upgrade CANN to 8.5.0 (#6070)
### What this PR does / why we need it?
1. Upgrade CANN to 8.5.0
2. move triton-ascend 3.2.0 to requirements

note: we skipped the two failed e2e test, see
https://github.com/vllm-project/vllm-ascend/issues/6076 for more detail.
We'll fix it soon.


### How was this patch tested?
Closes: https://github.com/vllm-project/vllm-ascend/issues/5494

- vLLM version: v0.13.0
- vLLM main:
d68209402d

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-22 09:29:50 +08:00
meihanc
53bfb38192 [CI]Update triton ascend version in 3.2.0 (#6067)
### What this PR does / why we need it?
update triton ascend version in 3.2.0

- vLLM version: v0.13.0
- vLLM main:
d68209402d

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-21 16:02:23 +08:00
zhangxinyuehfad
750c06c78a [CI] Add DeepSeek-V3.2-W8A8 nightly ci test (#4633)
### What this PR does / why we need it?
Add DeepSeek-V3.2-W8A8 nightly ci test:

DeepSeek-V3.2-W8A8 1node DP2+TP8
:tests/e2e/nightly/models/test_deepseek_v3_2_w8a8.py

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

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

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-20 21:05:15 +08:00
meihanc
80fbb1b6b1 [CI]Fix nightly clang installation following previous attempt (#5907)
### What this PR does / why we need it?
This PR fixes the issue where the previous PR
https://github.com/vllm-project/vllm-ascend/pull/5733 failed to install
Clang in nightly environment.

- vLLM version: v0.13.0
- vLLM main:
bde38c11df

---------

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-15 14:18:11 +08:00
SILONG ZENG
7a6fde80b1 [CI]Add Kimi k2 nightly test (#5682)
### What this PR does / why we need it?
The PR add performance and accuracy tests for **Kimi-K2-Instruct-W8A8**
and **Kimi-K2-Thinking** models to the Nightly test suite.

#### Test Configuration
**Kimi-K2-Instruct-W8A8**
- model: vllm-ascend/Kimi-K2-Instruct-W8A8
- Hardware: A3, 2 Nodes (32 NPUs total, 16 NPUs per node)
- Architecture: Unified Distributed Inference
- Parallelism: **DP4 + TP8 + EP** (Data Parallel 4, Tensor Parallel 8,
Expert Parallel enabled).
  - Optimization: **torchair graph**, **no-prefix-caching**.
  - Node 0: DP Rank 0-1, Local DP 2, Tensor Parallel 8.
  - Node 1: DP Rank 2-3, Local DP 2, Tensor Parallel 8.
- Benchmarks:
  - Performance: vllm-ascend/GSM8K-in3500-bs2800.
  - Accuracy: vllm-ascend/gsm8k-lite.

**Kimi-K2-Thinking**
- Model: moonshotai/Kimi-K2-Thinking
- Hardware: A3, 1 Node (16 NPUs total)
- Architecture: Single Node Distributed Inference
- Parallelism: TP16 + EP (Tensor Parallel 16, Expert Parallel enabled).
  - Optimization: **no-prefix-caching**
- Benchmarks:
  - Performance: vllm-ascend/GSM8K-in3500-bs400.
  - Accuracy: vllm-ascend/gsm8k-lite.


### Does this PR introduce _any_ user-facing change?
**Yes.** This PR enhances the ```AisbenchRunner``` to support dynamic
configuration of the ```trust_remote_code``` flag. This allows the
AISBench client to successfully load tokenizers for models that require
custom code execution (e.g., **Kimi-K2-Thinking and
Kimi-K2-Instruct-W8A8**).

**Changes:**
1. ```AisbenchRunner.__init__ ```Added the ability to capture the
```trust_remote_code``` parameter from the case configuration.
``` python
         self.batch_size = aisbench_config["batch_size"]
         self.request_rate = aisbench_config.get("request_rate", 0)
+        self.trust_remote_code = aisbench_config.get("trust_remote_code", False)
         self.temperature = aisbench_config.get("temperature")
         self.top_k = aisbench_config.get("top_k")
```
2. ```AisbenchRunner._init_request_conf``` Added regex substitution to
inject the parameter into the generated dynamic configuration file.
``` python
         content = re.sub(r'batch_size.*', f'batch_size = {self.batch_size},',
                          content)
+        content = re.sub(r'trust_remote_code=.*',
+                         f'trust_remote_code={self.trust_remote_code},',
+                         content)
         content = content.replace("top_k", "#top_k")
         content = content.replace("seed", "#seed")
```

**Details:**
- New Config Key: Users can add ```"trust_remote_code": True``` to any
dictionary within the ```aisbench_cases``` list.
- Default Value: Defaults to ```False``` to maintain existing security
protocols for standard models.
- Impact: Resolves ```ValueError``` when benchmarking reasoning models
or models with custom tokenizers that previously failed during the
AISBench local initialization phase.

**User Example:**
Users can now enable custom code execution for specific models (like
Kimi-K2-Thinking) directly in their test suite:
```
# Now supported in test scripts:
aisbench_cases = [{
    "case_type": "performance",
    "request_conf": "vllm_api_stream_chat",
    "trust_remote_code": True,  # New user-facing parameter
    ...
}]
```
### How was this patch tested?
Actions:
- https://github.com/vllm-project/vllm-ascend/actions/runs/20849768433

Result as following:

- **Kimi-K2-Instruct-W8A8**(25m25s)
1. Accuracy test
```
dataset    version    metric    mode      vllm-api-general-chat
---------  ---------  --------  ------  -----------------------
gsm8k      7cd45e     accuracy  gen                       96.88
```
2. Perf test
```
╒══════════════════════════╤═════════╤════════════════╤════════════════╤═══════════════╤════════════════╤════════════════╤════════════════╤════════════════╤═════╕
│ Performance Parameters   │ Stage   │ Average        │ Min            │ Max           │ Median         │ P75            │ P90            │ P99            │  N  │
╞══════════════════════════╪═════════╪════════════════╪════════════════╪═══════════════╪════════════════╪════════════════╪════════════════╪════════════════╪═════╡
│ E2EL                     │ total   │ 34571.489 ms   │ 28657.8054 ms  │ 36294.1788 ms │ 34714.7329 ms  │ 35247.2724 ms  │ 35526.6758 ms  │ 36146.4314 ms  │ 512 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼───────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ TTFT                     │ total   │ 2043.9136 ms   │ 627.4718 ms    │ 3532.3978 ms  │ 1906.0194 ms   │ 2307.7979 ms   │ 2883.8528 ms   │ 3283.7012 ms   │ 512 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼───────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ TPOT                     │ total   │ 127.5591 ms    │ 106.4937 ms    │ 137.107 ms    │ 128.3135 ms    │ 129.5704 ms    │ 131.1332 ms    │ 134.1087 ms    │ 512 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼───────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ ITL                      │ total   │ 126.5571 ms    │ 0.0095 ms      │ 1340.783 ms   │ 104.1398 ms    │ 110.1272 ms    │ 119.6124 ms    │ 950.2924 ms    │ 512 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼───────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ InputTokens              │ total   │ 3516.6055      │ 3014.0         │ 3985.0        │ 3525.0         │ 3525.0         │ 3586.8         │ 3800.67        │ 512 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼───────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ OutputTokens             │ total   │ 256.0          │ 256.0          │ 256.0         │ 256.0          │ 256.0          │ 256.0          │ 256.0          │ 512 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼───────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ OutputTokenThroughput    │ total   │ 7.4143 token/s │ 7.0535 token/s │ 8.933 token/s │ 7.3744 token/s │ 7.4118 token/s │ 7.5608 token/s │ 8.7051 token/s │ 512 │
╘══════════════════════════╧═════════╧════════════════╧════════════════╧═══════════════╧════════════════╧════════════════╧════════════════╧════════════════╧═════╛
╒══════════════════════════╤═════════╤═══════════════════╕
│ Common Metric            │ Stage   │ Value             │
╞══════════════════════════╪═════════╪═══════════════════╡
│ Benchmark Duration       │ total   │ 279430.9375 ms    │
├──────────────────────────┼─────────┼───────────────────┤
│ Total Requests           │ total   │ 512               │
├──────────────────────────┼─────────┼───────────────────┤
│ Failed Requests          │ total   │ 0                 │
├──────────────────────────┼─────────┼───────────────────┤
│ Success Requests         │ total   │ 512               │
├──────────────────────────┼─────────┼───────────────────┤
│ Concurrency              │ total   │ 63.3452           │
├──────────────────────────┼─────────┼───────────────────┤
│ Max Concurrency          │ total   │ 64                │
├──────────────────────────┼─────────┼───────────────────┤
│ Request Throughput       │ total   │ 1.8323 req/s      │
├──────────────────────────┼─────────┼───────────────────┤
│ Total Input Tokens       │ total   │ 1800502           │
├──────────────────────────┼─────────┼───────────────────┤
│ Prefill Token Throughput │ total   │ 1720.5255 token/s │
├──────────────────────────┼─────────┼───────────────────┤
│ Total generated tokens   │ total   │ 131072            │
├──────────────────────────┼─────────┼───────────────────┤
│ Input Token Throughput   │ total   │ 6443.4598 token/s │
├──────────────────────────┼─────────┼───────────────────┤
│ Output Token Throughput  │ total   │ 469.0676 token/s  │
├──────────────────────────┼─────────┼───────────────────┤
│ Total Token Throughput   │ total   │ 6912.5274 token/s │
╘══════════════════════════╧═════════╧═══════════════════╛
```

- **Kimi-K2-Thinking**(43m51s)
1. Accuracy test
```
dataset    version    metric    mode      vllm-api-general-chat
---------  ---------  --------  ------  -----------------------
gsm8k      7cd45e     accuracy  gen                      100.00
```
2. Perf test
```
╒══════════════════════════╤═════════╤════════════════╤════════════════╤════════════════╤════════════════╤════════════════╤════════════════╤════════════════╤═════╕
│ Performance Parameters   │ Stage   │ Average        │ Min            │ Max            │ Median         │ P75            │ P90            │ P99            │  N  │
╞══════════════════════════╪═════════╪════════════════╪════════════════╪════════════════╪════════════════╪════════════════╪════════════════╪════════════════╪═════╡
│ E2EL                     │ total   │ 172384.3573 ms │ 34456.5517 ms  │ 205922.9407 ms │ 174844.2216 ms │ 202656.092 ms  │ 204428.9502 ms │ 205468.6776 ms │ 400 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ TTFT                     │ total   │ 138740.3228 ms │ 655.1066 ms    │ 171777.3003 ms │ 141088.0561 ms │ 169237.5599 ms │ 170716.4954 ms │ 171393.1278 ms │ 400 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ TPOT                     │ total   │ 131.9374 ms    │ 90.6331 ms     │ 135.4144 ms    │ 132.405 ms     │ 132.948 ms     │ 133.7549 ms    │ 135.2543 ms    │ 400 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ ITL                      │ total   │ 130.9028 ms    │ 0.0099 ms      │ 960.3683 ms    │ 116.9623 ms    │ 122.3127 ms    │ 132.0522 ms    │ 886.4662 ms    │ 400 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ InputTokens              │ total   │ 3514.575       │ 3014.0         │ 3843.0         │ 3525.0         │ 3525.0         │ 3588.0         │ 3801.08        │ 400 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ OutputTokens             │ total   │ 256.0          │ 256.0          │ 256.0          │ 256.0          │ 256.0          │ 256.0          │ 256.0          │ 400 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ OutputTokenThroughput    │ total   │ 1.6799 token/s │ 1.2432 token/s │ 7.4296 token/s │ 1.4642 token/s │ 1.4737 token/s │ 1.8754 token/s │ 7.125 token/s  │ 400 │
╘══════════════════════════╧═════════╧════════════════╧════════════════╧════════════════╧════════════════╧════════════════╧════════════════╧════════════════╧═════╛
╒══════════════════════════╤═════════╤═══════════════════╕
│ Common Metric            │ Stage   │ Value             │
╞══════════════════════════╪═════════╪═══════════════════╡
│ Benchmark Duration       │ total   │ 1166795.568 ms    │
├──────────────────────────┼─────────┼───────────────────┤
│ Total Requests           │ total   │ 400               │
├──────────────────────────┼─────────┼───────────────────┤
│ Failed Requests          │ total   │ 0                 │
├──────────────────────────┼─────────┼───────────────────┤
│ Success Requests         │ total   │ 400               │
├──────────────────────────┼─────────┼───────────────────┤
│ Concurrency              │ total   │ 59.0967           │
├──────────────────────────┼─────────┼───────────────────┤
│ Max Concurrency          │ total   │ 64                │
├──────────────────────────┼─────────┼───────────────────┤
│ Request Throughput       │ total   │ 0.3428 req/s      │
├──────────────────────────┼─────────┼───────────────────┤
│ Total Input Tokens       │ total   │ 1405830           │
├──────────────────────────┼─────────┼───────────────────┤
│ Prefill Token Throughput │ total   │ 25.332 token/s    │
├──────────────────────────┼─────────┼───────────────────┤
│ Total generated tokens   │ total   │ 102400            │
├──────────────────────────┼─────────┼───────────────────┤
│ Input Token Throughput   │ total   │ 1204.864 token/s  │
├──────────────────────────┼─────────┼───────────────────┤
│ Output Token Throughput  │ total   │ 87.7617 token/s   │
├──────────────────────────┼─────────┼───────────────────┤
│ Total Token Throughput   │ total   │ 1292.6258 token/s │
╘══════════════════════════╧═════════╧═══════════════════╛
```

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: MrZ20 <2609716663@qq.com>
Signed-off-by: root <root@LAPTOP-VQKDDVMG.localdomain>
2026-01-12 15:56:07 +08:00
Li Wang
595d3484c4 [Nightly] Move ops to the correct path (#5642)
### What this PR does / why we need it?
Move ops to the correct path where they belong

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-09 09:23:36 +08:00
meihanc
6315a31399 [CI] Add triton ascend in nightly CI (#5716)
### What this PR does / why we need it?
Add triton ascend in nightly
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-08 21:17:32 +08:00
meihanc
c1dcddce3f [CI]update bisheng version (#5621)
### What this PR does / why we need it?
update bisheng version in 20260105

- vLLM version: v0.13.0
- vLLM main:
8be6432bda

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-06 15:22:22 +08:00
meihanc
a034941d06 [CI] update triton-ascend version (#5584)
### What this PR does / why we need it?
update triton-ascend version to 20260105

- vLLM version: v0.13.0
- vLLM main:
7157596103

---------

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-05 20:20:11 +08:00
meihanc
fbb93ad8f2 [bugfix]update bishengir source envs (#5582)
### What this PR does / why we need it?
Due to the update of the Bisheng version's installation path, the
corresponding source path in the environment variables needs to be
updated.

- vLLM version: v0.13.0
- vLLM main:
7157596103
---------
Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-05 09:13:40 +08:00
meihanc
8c4e9bb76b [CI]update triton ascend version (#5392)
### What this PR does / why we need it?
update triton-ascend version to 1229 and bisheng version in 1225;

- vLLM version: release/v0.13.0
- vLLM main:
254f6b9867
---------
Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2025-12-30 09:51:45 +08:00
Li Wang
c2f776b846 [Nightly] Initial logging for nightly multi-node testing (#5362)
### What this PR does / why we need it?
Currently, our multi-node logs only show the master node's logs (via the
Kubernetes API), which is insufficient for effective problem
localization if other nodes experience issues. Therefore, this pull
request adds the ability to upload logs for other nodes.

Next plan: Output structured directory logs, including logs from each
node and the polog.
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: release/v0.13.0
- vLLM main:
bc0a5a0c08

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-12-26 11:39:07 +08:00
Li Wang
2f03a2f4a4 [CI] Skip some failed ops tests (#5309)
### What this PR does / why we need it?
Skip some failed ops tests

- vLLM version: release/v0.13.0
- vLLM main:
5fbfa8d9ef

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-12-24 18:29:34 +08:00
Li Wang
243ab7d720 [CI] Use offline mode for nightly test (#5187)
### What this PR does / why we need it?
For single node test, the lack of a retry mechanism for accessing
ModelScope resulted in an HTTP 400 error sometimes. I recommend using a
local offline cache instead.

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c
---------
Signed-off-by: wangli <wangli858794774@gmail.com>
2025-12-19 21:21:42 +08:00
zhangxinyuehfad
cee9b715b5 [Bugfix] install trition for test_custom_op (#5112)
### What this PR does / why we need it?
1. install trition for test_custom_op
2. tests/e2e/nightly/ops test timeout, set timeout-minutes let it test
over:

https://github.com/vllm-project/vllm-ascend/actions/runs/20326482497/job/58392757707?pr=5112
3. ignore test_dispatch_ffn_combine until it is fixed @kiscad 

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

### How was this patch tested?

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

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2025-12-19 10:40:46 +08:00
whx
cee521bad5 [Nightly][BugFix] Install triton for nightly e2e op test. (#5096)
### What this PR does / why we need it?
This PR adds triton-ascend installation to nightly e2e single card
environment.

Signed-off-by: whx-sjtu <2952154980@qq.com>
2025-12-16 21:31:53 +08:00
Li Wang
c6f60e8dd8 [Nightly] Upgrade single node test to latest main (#5101)
### What this PR does / why we need it?
Sync source code from vllm-ascend on nightly tests

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-12-16 21:28:45 +08:00
SILONG ZENG
ab37a7d5ae [main]Upgrade cann to 8.3rc2 (#4350)
### What this PR does / why we need it?
Upgrade cann to 8.3rc2

### Does this PR introduce _any_ user-facing change?
Yes, docker image will use 8.3.RC2


- vLLM version: v0.11.2
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2

---------

Signed-off-by: MrZ20 <2609716663@qq.com>
2025-11-28 14:06:01 +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
b77b4f1abf [Test] Add nightly test for DeepSeek-V3.2-Exp (#3908)
### What this PR does / why we need it?
Add nightly test for DeepSeek-V3.2-Exp


### How was this patch tested?
test action:

https://github.com/vllm-project/vllm-ascend/actions/runs/19156153634/job/54757008557?pr=3908


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

---------

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2025-11-11 10:29:57 +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
Li Wang
4a2ab13743 [CI] Optimize nightly CI (#3858)
### What this PR does / why we need it?
This patch optimize nightly CI:
1. Bug fixes ais_bench get None repo_type error
2. Fix A2 install kubectl error with arm arch
3. Fix the multi_node CI unable to determine whether the job was
successful error
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?


- vLLM version: v0.11.0rc3
- vLLM main:
83f478bb19

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-10-29 22:30:19 +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