Commit Graph

567 Commits

Author SHA1 Message Date
zhangxinyuehfad
1d661bb279 [Bugfix] Specify tensorflow version in accuracy test to avoid segmentation fault (#6292)
### What this PR does / why we need it?
Specify tensorflow version in accuracy test to avoid segmentation fault

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

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-30 09:28:24 +08:00
CodeCat
b2857de43f [ST]Add e2e test for Npugraphex_pass (#6388)
### What this PR does / why we need it?
We found the custom passes of NPUGraphEX have implemented fusion
operator features, which still require E2E test case validation and
guard. This PR implements E2E test cases for the AddRMSNormQuant and
SplitQKVNormRope operator fusions under NPUGraphEX that are already in
the codebase.
### Does this PR introduce _any_ user-facing change?
NO
### How was this patch tested?

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

---------

Signed-off-by: cjian <2318164299@qq.com>
2026-01-30 09:14:07 +08:00
wjunLu
4970de4242 [CI] Enable the skipped cases when HDK is upgraded to 25.5.0 (#6195)
### What this PR does / why we need it?
Enable the tests that were skipped due to an outdated driver version:
- tests/e2e/multicard/4-cards/long_sequence/test_accuracy.py
- tests/e2e/multicard/4-cards/long_sequence/test_basic.py
- tests/e2e/multicard/4-cards/long_sequence/test_chunked_prefill.py

and some cases in
- tests/e2e/multicard/2-cards/spec_decode/test_spec_decode.py
- tests/e2e/multicard/2-cards/test_external_launcher.py
- tests/e2e/multicard/2-cards/test_offline_weight_load.py
- tests/e2e/multicard/2-cards/test_quantization.py
- tests/e2e/multicard/4-cards/test_data_parallel_tp2.py

TODO:
- tests/e2e/multicard/4-cards/spec_decode/test_mtp_qwen3_next.py
- tests/e2e/multicard/4-cards/long_sequence/test_mtp.py
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.14.0
- vLLM main:
d68209402d

Signed-off-by: wjunLu <wjunlu217@gmail.com>
2026-01-29 22:41:41 +08:00
Li Wang
e35f304419 [CI] Auto partition for test cases (#6379)
### What this PR does / why we need it?
This patch add auto-partition feat for tests, for example, before this
pr, we are running e2e single card test for 2h40min, after the auto
partition, test case is automatically allocated into the required n
parts based on its test duration (greedy strategy) and run in parallel.
The advantage of doing this is that our overall test duration will
become 1/n of the original.

### Does this PR introduce _any_ user-facing change?
Before:
e2e single card test spend 2h40min
After:
e2e single card test spend 1h13min

### How was this patch tested?

```shell
python .github/workflows/scripts/run_suite.py --auto-partition-size 2 --auto-partition-id 0 
args=Namespace(timeout_per_file=2000, suite='e2e-singlecard', auto_partition_id=0, auto_partition_size=2, continue_on_error=False, enable_retry=False, max_attempts=2, retry_wait_seconds=60, retry_timeout_increase=600)
+----------------+--------------------+
| Suite          | Partition          |
|----------------+--------------------|
| e2e-singlecard | 1/2 (0-based id=0) |
+----------------+--------------------+
 Enabled 13 test(s) (est total 4020.0s):
  - tests/e2e/singlecard/spec_decode/test_v1_spec_decode.py (est_time=1800)
  - tests/e2e/singlecard/test_aclgraph_accuracy.py (est_time=480)
  - tests/e2e/singlecard/test_guided_decoding.py (est_time=354)
  - tests/e2e/singlecard/test_batch_invariant.py (est_time=320)
  - tests/e2e/singlecard/pooling/test_embedding.py (est_time=270)
  - tests/e2e/singlecard/test_quantization.py (est_time=200)
  - tests/e2e/singlecard/test_llama32_lora.py (est_time=162)
  - tests/e2e/singlecard/test_cpu_offloading.py (est_time=132)
  - tests/e2e/singlecard/pooling/test_classification.py (est_time=120)
  - tests/e2e/singlecard/test_camem.py (est_time=77)
  - tests/e2e/singlecard/compile/test_norm_quant_fusion.py (est_time=70)
  - tests/e2e/singlecard/test_auto_fit_max_mode_len.py (est_time=25)
  - tests/e2e/singlecard/test_profile_execute_duration.py (est_time=10)

(base) wangli@Mac-mini vllm-ascend % python .github/workflows/scripts/run_suite.py --auto-partition-size 2 --auto-partition-id 1 
args=Namespace(timeout_per_file=2000, suite='e2e-singlecard', auto_partition_id=1, auto_partition_size=2, continue_on_error=False, enable_retry=False, max_attempts=2, retry_wait_seconds=60, retry_timeout_increase=600)
+----------------+--------------------+
| Suite          | Partition          |
|----------------+--------------------|
| e2e-singlecard | 2/2 (0-based id=1) |
+----------------+--------------------+
 Enabled 13 test(s) (est total 4025.0s):
  - tests/e2e/singlecard/spec_decode/test_mtp_eagle_correctness.py (est_time=1500)
  - tests/e2e/singlecard/pooling/test_scoring.py (est_time=500)
  - tests/e2e/singlecard/test_aclgraph_batch_invariant.py (est_time=410)
  - tests/e2e/singlecard/test_vlm.py (est_time=354)
  - tests/e2e/singlecard/test_models.py (est_time=300)
  - tests/e2e/singlecard/test_multistream_overlap_shared_expert.py (est_time=200)
  - tests/e2e/singlecard/test_sampler.py (est_time=200)
  - tests/e2e/singlecard/test_async_scheduling.py (est_time=150)
  - tests/e2e/singlecard/test_aclgraph_mem.py (est_time=130)
  - tests/e2e/singlecard/test_ilama_lora.py (est_time=95)
  - tests/e2e/singlecard/test_completion_with_prompt_embeds.py (est_time=76)
  - tests/e2e/singlecard/test_qwen3_multi_loras.py (est_time=65)
  - tests/e2e/singlecard/test_xlite.py (est_time=45)
```
- vLLM version: v0.14.1
- vLLM main:
dc917cceb8

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-29 20:28:10 +08:00
Li Wang
f0ff2cc22d [CI] hot fix for nightly image build tag (#6367)
### What this PR does / why we need it?
The base image of `releases/v0.13.0` should tagged as
`releases/v0.13.0-**`

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

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-28 23:29:50 +08:00
Li Wang
8b0a7b6d80 [CI] Nightly tests use releases/v0.13.0 (#6355)
### What this PR does / why we need it?
The pre-requirement pr is
https://github.com/vllm-project/vllm-ascend/pull/6353, this patch aims
to transfer nightly tests to `releases/v0.13.0`, what we need to do is
just use the branch built image for nightly

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

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-28 21:46:13 +08:00
Li Wang
501bb395b1 [CI] Fix image build (#6333)
Try to fix schedule image build CI

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

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-28 21:36:44 +08:00
Shaoxu Cheng
857c533e27 [CI]: add production safeguards for 300I (#6343)
Update 310p files tracker to enable 310p e2e test per PR.

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

Signed-off-by: Tflowers-0129 <2906339855@qq.com>
2026-01-28 16:43:48 +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
meihanc
fea197ad50 [Main2Main] Upgrade vllm commit to 0123 (#6169)
### What this PR does / why we need it?
1.  Upgrade vllm commit to: 0115
(8471b27df97c3eb79f891802fc0e858f8f7ac6a0)
Modify import paths due to the refactors:
https://github.com/vllm-project/vllm/pull/32245
https://github.com/vllm-project/vllm/pull/32060
Test result:
https://github.com/vllm-project/vllm-ascend/actions/runs/21034239336/job/60490156965?pr=5913
2. Upgrade vllm commit to: 0119
(9a1f16da1e423ede2c2f52a9850cbfbb39cefe96)
Fix `WorkerProc.__init__() missing 1 required positional argument:
'is_driver_worker'` due to
https://github.com/vllm-project/vllm/pull/28506
Test result:
https://github.com/vllm-project/vllm-ascend/actions/runs/21156263050/job/60841668755?5569
3. Upgrade vllm commit to:
0120(148117ea2e689cd43df4be6892671a17cdae5833)
1. Add `skip_compiled` param in `set_forward_context` due to
https://github.com/vllm-project/vllm/pull/30385
2. Modify `tests/ut/spec_decode/test_eagle_proposer.py` due to
https://github.com/vllm-project/vllm/pull/24322
change `self.max_num_tokens =
vllm_config.scheduler_config.max_num_batched_tokens + max_batch_size`
3. Modify UT import paths due to the
refactors:https://github.com/vllm-project/vllm/pull/32060
Test result:
https://github.com/vllm-project/vllm-ascend/actions/runs/21204851770/job/60999046946
4. Upgrade vllm commit to:
0121(f23fb5a7c1b61350c5c40ca1115d3bf8cf2b8cc9)
1. vLLM switched `uses_mrope` from target to draft model config, making
`positions`/`mrope_positions` mutually exclusive, breaking vllm-ascend's
direct self.positions access and tests missing
`draft_model_config.uses_mrope`.
https://github.com/vllm-project/vllm/pull/32048
2. Moved bs_to_padded_graph_size from CompilationConfig to
CudagraphDispatcher due to the refactor
https://github.com/vllm-project/vllm/pull/30143
3. Remove unused `maybe_setup_kv_connector` due to
https://github.com/vllm-project/vllm/pull/32077
Test result:
https://github.com/vllm-project/vllm-ascend/actions/runs/21217728738/job/61043738834
6. Upgrade vllm commit to:
0122(8ebf271bb6d1e7e9b1a55be73d755ef1a57dbbe5)
Updating FusedMoEParallelConfig (added enable_eplb) and FusedMoEConfig
due to https://github.com/vllm-project/vllm/pull/32414
Test result:
https://github.com/vllm-project/vllm-ascend/actions/runs/21249922546/job/61148613054
8. Upgrade vllm commit to:
0123(dc917cceb877dfd13f98c538c4c96158047d98bd)
Setting temperature=0.0 due to the removal of the default temperature
value in https://github.com/vllm-project/vllm/pull/32723
Test result:
https://github.com/vllm-project/vllm-ascend/actions/runs/21280796875
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.14.0
- vLLM main:
d68209402d

---------

Signed-off-by: wjunLu <wjunlu217@gmail.com>
Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
Co-authored-by: wjunLu <wjunlu217@gmail.com>
2026-01-27 08:44:36 +08:00
Icey
9780a995e1 [BugFix] Fix wheel package build workflow (#6276)
### What this PR does / why we need it?
Fixes
https://github.com/vllm-project/vllm-ascend/actions/runs/21348357385/job/61440051717

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

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

- vLLM version: v0.14.1
- vLLM main:
d68209402d

Signed-off-by: wxsIcey <1790571317@qq.com>
2026-01-26 20:42:17 +08:00
InSec
595b57c4d4 [CI][BugFix] Qwen3-Next nightly test fix. (#6247)
### What this PR does / why we need it?
Qwen3-Next nightly test fix. Temporarily avoid the accuracy issue in the
**full graph** mode.
### Does this PR introduce _any_ user-facing change?
N/A
### How was this patch tested?

- vLLM version: v0.14.1
- vLLM main:
d68209402d

Signed-off-by: InSec <1790766300@qq.com>
2026-01-26 19:53:53 +08:00
wangxiyuan
cb553f8eee [Community] Nominate whx-sjtu as maintainer (#6268)
Since the first release v0.13.0rc2 and v0.14.0rc1 in 2026 are released.
We consider to refresh the maintainer team. I nominate whx-sjtu as the
new maintainer. 

- vLLM version: v0.14.1
- vLLM main:
d68209402d

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-26 19:22:26 +08:00
Li Wang
de095c5fed [CI] Add workfolw_dispatch for nightly image build (#6269)
### What this PR does / why we need it?
Currently, the nightly image is built at 20 PM and 23 PM UTC+8. Due to
some timeliness requirements, we need to add a new trigger method for
nightly image builds.
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.14.1
- vLLM main:
d68209402d

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-26 15:56:38 +08:00
dependabot[bot]
1f26f83e34 [CI] Bump actions/checkout from 4 to 6 (#6255)
Bumps [actions/checkout](https://github.com/actions/checkout) from 4 to 6.

- vLLM version: v0.14.1
- vLLM main:
d68209402d

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-01-26 14:21:00 +08:00
dependabot[bot]
ae71c4237e [CI] Bump actions/setup-python from 6.1.0 to 6.2.0 (#6256)
Bumps [actions/setup-python](https://github.com/actions/setup-python) from 6.1.0 to 6.2.0.

- vLLM version: v0.14.1
- vLLM main:
d68209402d

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-01-26 14:20:14 +08:00
Li Wang
c26ad78f86 [CI][lint] Add rule codespell back (#6236)
### What this PR does / why we need it?
After removing codepsell a while, we discovered that typo had a problem
correctly recognizing certain misspelled words, so I suggested adding it
back.

- vLLM version: v0.14.1
- vLLM main:
d68209402d

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-26 14:12:33 +08:00
wangxiyuan
f4abd9b7b5 [CI] Fix 310p image build (#6259)
Fix 310p docker image build error

- vLLM version: v0.14.1
- vLLM main:
d68209402d

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-26 14:11:56 +08:00
huangning1995
ce11fd49f3 [Feature] Batch invariant torch.compile (#6107)
### What this PR does / why we need it?
Building upon https://github.com/vllm-project/vllm-ascend/pull/5517 to
enable batch-invariant in vllm-ascend, we observed that the performance
of BI in eager mode remains suboptimal.

This PR further integrates batch-invariant with torch.compile, which
improves inference performance by 350% when tested with Qwen3-0.6B.

### Does this PR introduce _any_ user-facing change?
Previously, enabling both aclgraph and Batch-Invariant would cause an
"ub overflow" error. This occurred because transposed input tensors
could produce incorrect stride() values.

To fix this, we now call .contiguous() on the input tensors before
passing them to Triton kernels. This ensures a contiguous memory layout
and prevents transposed tensors from causing incorrect stride
calculations.

### Test Plan
pytest -sv --durations=0
tests/e2e/singlecard/test_aclgraph_batch_invariant.py

### Test Result
```
============================================================================ slowest durations ============================================================================
87.37s call     tests/e2e/singlecard/test_aclgraph_batch_invariant.py::test_v1_generation_is_deterministic_across_batch_sizes_with_needle
77.39s call     tests/e2e/singlecard/test_aclgraph_batch_invariant.py::test_logprobs_bitwise_batch_invariance_bs1_vs_bsN
74.04s call     tests/e2e/singlecard/test_aclgraph_batch_invariant.py::test_logprobs_without_batch_invariance_should_fail
73.59s call     tests/e2e/singlecard/test_aclgraph_batch_invariant.py::test_simple_generation

(8 durations < 0.005s hidden.  Use -vv to show these durations.)
================================================================ 4 passed, 3 warnings in 312.45s (0:05:12) ================================================================
```
### Performance
export VLLM_BATCH_INVARIANT=1
vllm serve /home/Qwen3-0.6B \
--served-model-name qwen \
--port 8000 \
--max-num-seqs 256 \
--tensor-parallel-size 1 \
--max-model-len 5500 \
--max-num-batched-tokens 5500 \
--reasoning-parser qwen3 \
--gpu-memory-utilization 0.9 \
--compilation_config '{"cudagraph_mode":"FULL_DECODE_ONLY",
"cudagraph_capture_sizes":[1,2,4,8,16,32]}' \
--additional-config
'{"ascend_scheduler_config":{"enabled":true},"enable_weight_nz_layout":true}'

vllm bench serve --served-model-name qwen --trust-remote-code --backend
vllm --model /home/Qwen3-0.6B/ --endpoint /v1/completions --dataset-name
random --random-input-len 512 --random-output-len 256 --num-prompts 800
--max-concurrency 8

torch.compile batch invariant performance:
```
============ Serving Benchmark Result ============
Successful requests:                     800       
Failed requests:                         0         
Maximum request concurrency:             8         
Benchmark duration (s):                  477.21    
Total input tokens:                      409600    
Total generated tokens:                  204800    
Request throughput (req/s):              1.68      
Output token throughput (tok/s):         429.16    
Peak output token throughput (tok/s):    472.00    
Peak concurrent requests:                16.00     
Total token throughput (tok/s):          1287.48   
---------------Time to First Token----------------
Mean TTFT (ms):                          285.53    
Median TTFT (ms):                        312.70    
P99 TTFT (ms):                           324.22    
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms):                          17.59     
Median TPOT (ms):                        17.50     
P99 TPOT (ms):                           18.44     
---------------Inter-token Latency----------------
Mean ITL (ms):                           17.59     
Median ITL (ms):                         17.45     
P99 ITL (ms):                            18.76     
==================================================
```
Eager
```
============ Serving Benchmark Result ============
Successful requests:                     800       
Failed requests:                         0         
Maximum request concurrency:             8         
Benchmark duration (s):                  1694.70   
Total input tokens:                      409600    
Total generated tokens:                  204800    
Request throughput (req/s):              0.47      
Output token throughput (tok/s):         120.85    
Peak output token throughput (tok/s):    136.00    
Peak concurrent requests:                16.00     
Total token throughput (tok/s):          362.54    
---------------Time to First Token----------------
Mean TTFT (ms):                          164.29    
Median TTFT (ms):                        129.71    
P99 TTFT (ms):                           1961.66   
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms):                          65.81     
Median TPOT (ms):                        65.15     
P99 TPOT (ms):                           72.27     
---------------Inter-token Latency----------------
Mean ITL (ms):                           65.81     
Median ITL (ms):                         64.64     
P99 ITL (ms):                            75.72     
==================================================
```

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

---------

Signed-off-by: huangning1995 <huangning12@huawei.com>
2026-01-26 09:15:06 +08:00
Li Wang
63adbedb7a [Worker] Implement update max_model_len interface for NPUWorker (#6193)
### What this PR does / why we need it?
This patch purpose to add the `update_max_model_len` interface.

- vLLM version: v0.14.0
- vLLM main:
d68209402d

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-26 09:03:33 +08:00
Li Wang
ca297eb57f [CI] Migrate e2e test runner to hk (#5344)
### What this PR does / why we need it?
This patch add new runner labels for the HK region, and e2e single-card
testing has been migrated to this runner.

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

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-26 09:00:51 +08:00
wangxiyuan
99bdd7363c [CI] update vLLM to 0.14.1 (#6222)
Upgrade vLLM to 0.14.1
- vLLM version: v0.14.0
- vLLM main:
d68209402d

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-25 17:52:16 +08:00
Shaoxu Cheng
fbae41697e [310P]: refactoring for 310p kvcache and some ops class (#6117)
### What this PR does / why we need it?
* Refactor the LayerNorm and activation operator classes to decouple the
310P device implementation from the main branch.
* Refactor `mm_encoder_attention` on 310P to use the
`torch_npu._npu_flash_attention_unpad` operator.
* Refactor the QKV inputs in the prefill stage of `attention_v1` on 310P
so they are no longer padded to 16× alignment.
* Refactor `model_runner` on 310P to align the KV-cache initialization
logic with the mainline implementation.

### Does this PR introduce _any_ user-facing change?
NO

### How was this patch tested?
use the e2e tests.

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

---------

Signed-off-by: Tflowers-0129 <2906339855@qq.com>
2026-01-24 20:34:29 +08:00
Icey
4fcacca8a6 [BugFix] Fix build wheel (#6218)
### What this PR does / why we need it?
- Fixes
https://github.com/vllm-project/vllm-ascend/actions/runs/21312847954/job/61351587180

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

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

- vLLM version: v0.14.0
- vLLM main:
d68209402d

Signed-off-by: wxsIcey <1790571317@qq.com>
2026-01-24 20:08:20 +08:00
Icey
fc26260d84 [BugFix] buildwheel dependency install (#6212)
### What this PR does / why we need it?
buildwheel dependency install, fixes
https://github.com/vllm-project/vllm-ascend/actions/runs/21309549095

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

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


- vLLM version: v0.14.0
- vLLM main:
d68209402d

Signed-off-by: wxsIcey <1790571317@qq.com>
2026-01-24 17:11:55 +08:00
Li Wang
af4dbb6b26 [CI] Use nginx for package cache to speed up CI (#6170)
### What this PR does / why we need it?
 Use nginx for package cache to speed up CI

- vLLM version: v0.14.0
- vLLM main:
d68209402d

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-23 16:56:16 +08:00
zhangxinyuehfad
193acc2c19 [CI] Add nightly ci test for deepseek v3.1 (#5386)
### What this PR does / why we need it?
Add nightly ci test for deepseek v3.1

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

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-23 14:36:49 +08:00
wjunLu
72ffc00b86 [Bugfix] Fix structured outputs errors: TypeError: apply_token_bitmask_inplace_cpu() (#6151)
### What this PR does / why we need it?
Fix https://github.com/vllm-project/vllm-ascend/issues/5524

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

Signed-off-by: wjunLu <wjunlu217@gmail.com>
2026-01-23 09:52:55 +08:00
zhangxinyuehfad
819a4459ce Drop vLLM 0.13.0 support (#6069)
### What this PR does / why we need it?
Drop vLLM 0.13.0 support, upgrade to 0.14.0

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

---------

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-23 09:45:08 +08:00
wjunLu
88632cf976 [CI][Doc] Upgrade wheel building's CANN to 8.5.0 and update the Docs (#6145)
### What this PR does / why we need it?
Upgrade wheel building's CANN to 8.5.0 and update the Docs


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

Signed-off-by: wjunLu <wjunlu217@gmail.com>
2026-01-22 19:50:54 +08:00
meihanc
e54d294df3 [CI]Install clang in dokerfile for triton ascend (#4409)
### What this PR does / why we need it?
Install clang in dokerfile for triton ascend

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

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-22 19:01:28 +08:00
Li Wang
484e7c59dc [CI] optimize lint term (#5986)
### What this PR does / why we need it?
This patch purpose to optimize the lint check term. The main idea is to
reduce unnecessary installation time.
1. The installation of vllm is not must, only append the path of vllm
src to the `PATHONPATH` is effective
2. This installation of `requirements-dev.txt` is not must, we have a
pre-built image `quay.io/ascend-ci/vllm-ascend:lint` with all the
requirements installed in advance.
**NOTE**: the conditions for triggering image builds are: 1).Daily
scheduled build; 2) Build when requirements are modified; 3) Manual
build. This ensures that the dependencies in our image are up-to-date to
the greatest extent possible.
3. The `mypy` was separated from the `pre-commit` hook for performance
reasons; we found that integrating `mypy` into the `pre-commit` hook
resulted in poor performance.
4. Reduce the CPU core consumption from 16 -> 8

### Does this PR introduce _any_ user-facing change?
The end-to-end lint time was optimized from 20min/per PR to 8min/per PR
### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-22 15:46:59 +08:00
maxmgrdv
ef9d8367f5 [Feature] Add support of new W4A4_LAOS_DYNAMIC quantization method (#5143)
Introduce W4A4 LAOS Quantization for better model compression and
inference efficiency on Ascend devices.

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

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-22 10:34:58 +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
Li Wang
0c0514579f [CI][Lint] Show lint diff on failure (#5956)
### What this PR does / why we need it?
Currently, some of lint checks default automatic code correction but
only shows which files were modified (without specifying the changes);
in a CI environment, we can make a small optimization to show which
lines were modified to give the developers some specifying hint.
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-20 21:07:01 +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
Icey
402872050a [Tests] move qwen3 performance test from nightly to e2e (#5980)
### What this PR does / why we need it?
Move the qwen3 performance test from nightly to e2e to intercept
performance degradation.

- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

---------

Signed-off-by: wxsIcey <1790571317@qq.com>
2026-01-20 17:08:43 +08:00
meihanc
ea57e3e7a4 [Main2Main] Upgrade vllm commit to releases/v0.14.0 (#5988)
### What this PR does / why we need it?
Upgrade vllm commit to releases/v0.14.0

- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-20 15:10:40 +08:00
LeeWenquan
55b20ac63b [Ops] Add layernorm for qwen3Next (#5765)
### What this PR does / why we need it?
Add layernormFn triton op for qwen3Next model for better performance.

<img width="248" height="526" alt="image"
src="https://github.com/user-attachments/assets/27b47157-5df5-4db1-aa88-1dae799b2bf6"
/>

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

No

### How was this patch tested?

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

---------

Signed-off-by: SunnyLee219 <3294305115@qq.com>
2026-01-20 14:43:14 +08:00
Song Zhixin
2b6dc100b5 Eagle3 mm support, enablement on qwen3vl (#4848)
### What this PR does / why we need it?
follow pr
[https://github.com/vllm-project/vllm/pull/20788](https://github.com/vllm-project/vllm/pull/20788)
, Eagle3 mm support, enablement on qwen3vl
target model
[Qwen/Qwen3-VL-8B-Instruct]([https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct])
eagle3
[MNN/Qwen3-VL-8B-Instruct-Eagle3](https://www.modelscope.cn/models/MNN/Qwen3-VL-8B-Instruct-Eagle3)
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?

pytest ./tests/e2e/singlecard/test_completion_with_prompt_embeds.py -vv

vLLM with eagle3 :
```bash
vllm serve /model/Qwen3-VL-8B-Instruct   --enforce-eager   --port 9100    --max-model-len 32768   --max-num-seqs 32   --tensor-parallel-size 2   --allowed-local-media-path /model/gx/images  --speculative-config '{
    "method": "eagle3",
    "model": "/model/hf/Qwen3-VL-8B-Instruct-Eagle3",
    "num_speculative_tokens": 3
  }'
```
vLLM without eagle3 :
```bash
vllm serve /model/Qwen3-VL-8B-Instruct   --enforce-eager   --port 9100    --max-model-len 32768   --max-num-seqs 32   --tensor-parallel-size 2   --allowed-local-media-path /model/gx/images 
```

bench:
```
vllm bench serve   --backend openai-chat   --base-url http://127.0.0.1:9100   --tokenizer /model/Qwen3-VL-8B-Instruct   --endpoint /v1/chat/completions   --model /model/Qwen3-VL-8B-Instruct   --dataset-name random  --num-prompts 50   --max-concurrency 5   --temperature 0   --top-p 1.0   --seed 123
```

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

---------

Signed-off-by: jesse <szxfml@gmail.com>
2026-01-19 08:58:07 +08:00
zhangxinyuehfad
4f446aec4c [CI] Add DeepSeek-V3.2-W8A8-Pruning e2e test (#5922)
### What this PR does / why we need it?
1. Fix DeepSeek-V3.2-W8A8-Pruning mtp
2. Add DeepSeek-V3.2-W8A8-Pruning e2e test

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
11b6af5280

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-16 15:49:57 +08:00
wangxiyuan
69b170b8b5 [CI] skip 310 test for full test (#5943)
Skip 310 test for full test. It's not stable now.

- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-16 10:36:20 +08:00
wjunLu
73a3f822c7 [Main2Main] Upgrade vllm commit to releases/v0.14.0 (#5911)
### What this PR does / why we need it?
Upgrade vllm commit to releases/v0.14.0

- Re-open cases in `tests/e2e/singlecard/pooling/test_scoring.py`, since
the errors before have been fixed by
https://github.com/vllm-project/vllm/pull/32243
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
11b6af5280

Signed-off-by: wjunLu <wjunlu217@gmail.com>
2026-01-15 23:22:43 +08:00
zhangxinyuehfad
372f979aa5 [CI] Add DeepSeek R1 W8A8 HMB nightly ci (#5874)
### What this PR does / why we need it?

Add DeepSeek R1 W8A8 HMB nightly ci

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

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-15 20:48:20 +08:00
wangxiyuan
a25209252f [CI] Add 310p e2e test back (#5797)
This PR add 310 e2e test back to ensure the related PR will be tested on
310.
1. for light e2e, we'll run 310p test if the changed files are located
in `vllm_ascend/_310p`
2. for full e2e, we'll always run 310p test
3. for main2main test, we'll stop run 310p test

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

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-15 15:47:13 +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
wjunLu
c11a05c4e1 [Main2Main] Upgrade vllm commit to 0113 (#5839)
### What this PR does / why we need it?
Upgrade vllm commit to 0113 (11b6af5280d6d6dfb8953af16e67b25f819b3be9)

- Modify import paths due to the refactors
https://github.com/vllm-project/vllm/pull/31916
https://github.com/vllm-project/vllm/pull/32054

- Fix `TypeError: NPUOffloadingSpec.__init__() takes 2 positional
arguments but 3 were given` due to
https://github.com/vllm-project/vllm/pull/24498

- Skip the async-scheduling tests in
`tests/e2e/multicard/4-cards/long_sequence/test_mtp.py`, which are never
verified
https://github.com/vllm-project/vllm/pull/31998

- Skip some pooling tests, which are caused by
https://github.com/vllm-project/vllm/pull/32148
where vllm is also failed
https://buildkite.com/vllm/ci/builds/46705/steps/canvas?jid=019bb329-3834-4685-862b-1613b8e0f5d4

We will reopen those tests when main2main reachs
https://github.com/vllm-project/vllm/pull/32243

- Skip some cases in
`tests/e2e/multicard/4-cards/long_sequence/test_mtp.py`, which are
broken by
https://github.com/vllm-project/vllm/pull/32118

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

### How was this patch tested?

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

Signed-off-by: wjunLu <wjunlu217@gmail.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
2026-01-15 09:48:53 +08:00
SILONG ZENG
4811ba62e0 [Lint]Style: reformat markdown files via markdownlint (#5884)
### What this PR does / why we need it?
reformat markdown files via markdownlint

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

---------

Signed-off-by: root <root@LAPTOP-VQKDDVMG.localdomain>
Signed-off-by: MrZ20 <2609716663@qq.com>
Co-authored-by: root <root@LAPTOP-VQKDDVMG.localdomain>
2026-01-15 09:06:01 +08:00
wangxiyuan
96edd4673f [Community] Add code owner (#5882)
Add code owner file. It helps to remind owners for the related code/pr
change.

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

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-15 09:01:12 +08:00