Commit Graph

116 Commits

Author SHA1 Message Date
Nengjun Ma
f0caeeadcb [CI] unlock when load model (#6771)
### What this PR does / why we need it?

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

### How was this patch tested?

- vLLM version: v0.15.0
- vLLM main:
9562912cea

Signed-off-by: leo-pony <nengjunma@outlook.com>
2026-02-14 18:54:04 +08:00
pu-zhe
1cc225711d [Refactor]310p_e2e test case update (#6539)
### What this PR does / why we need it?
This pull request significantly enhances the test suite by adding new
end-to-end test cases for Qwen3 models on the 310P hardware platform.
The primary goal is to ensure the stability and correctness of these
models under diverse operational conditions, including various
parallelism strategies, data types, and quantization methods.
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
E2E test
- vLLM version: v0.15.0
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.15.0

---------

Signed-off-by: pu-zhe <zpuaa@outlook.com>
2026-02-07 09:28:37 +08:00
wangxiyuan
d0bc16859c [CI][Misc] Some improvement for github action (#6587)
### What this PR does / why we need it?

- This PR removes several self-hosted runner labels from the
`actionlint.yaml` configuration file. These runners are likely no longer
in use, so this change cleans up the configuration and ensures
`actionlint` has an accurate list of available runners.
- Move all Action dockerfiles to one folder
- remove useless `runner` input for e2e test.
- update workflow option version

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

No.

### How was this patch tested?

This is a configuration change for the CI linter. The correctness will
be verified by `actionlint` running in CI on subsequent pull requests.

- vLLM version: v0.15.0
- vLLM main:
d7e17aaacd

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-02-06 14:06:27 +08:00
Shaoxu Cheng
39e77fb9e4 [Feat.]: support 310p w8a8 (#6454)
### What this PR does / why we need it?
Introduced 310P W8A8 Quantization Support: New modules and methods have
been added to enable W8A8 static quantization specifically for the
Ascend 310P platform.
Platform-Specific Quantization Configuration Loading: The system now
dynamically loads the appropriate quantization configurations
(AscendCompressedTensorsConfig, AscendModelSlimConfig) based on whether
the current hardware is an Ascend 310P device.
Implemented AscendW8A8LinearMethod310P: A dedicated linear quantization
method for 310P is provided, handling the specifics of weight and
activation quantization, including input parameter broadcasting and
weight data manipulation.
Extended AscendModelSlimConfig for 310P: A specialized configuration
class for 310P integrates the new W8A8 linear method for both standard
linear layers and vocabulary parallel embeddings, ensuring proper
quantization application.

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

---------

Signed-off-by: Tflowers-0129 <2906339855@qq.com>
Signed-off-by: Shaoxu Cheng <2906339855@qq.com>
2026-02-03 14:13:06 +08:00
SILONG ZENG
f4a72f0d16 [CI]Disable early exit to complete all tests (#6482)
### What this PR does / why we need it?
1. Disable the feature to exit early upon encountering an error in order
to complete all tests.
2. Within each partition, tests are re-sorted by `estimated_time` in
ascending order. This allows the CI to cover as many test cases as
possible in the early stages.

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

### How was this patch tested?

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

---------

Signed-off-by: MrZ20 <2609716663@qq.com>
2026-02-03 11:25:51 +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
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
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
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
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
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
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
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
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
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
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
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
meihanc
a9f730b853 [bugfix]Intermittent CI failure in the triton runtime jit (#5733)
### What this PR does / why we need it?
fix bug : https://github.com/vllm-project/vllm-ascend/issues/5634
Intermittent CI failure due to a compilation error in the triton
operator
### 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>
2026-01-14 22:58:08 +08:00
drslark
48ec97821a [Bugfix] Fixed an accuracy problem of sp with eagle3 (#5816)
### What this PR does / why we need it?
Fixed an accuracy problem when using eagle3 with sp.

The problem is described in
https://github.com/vllm-project/vllm-ascend/issues/5825.

It also adds a much more precise way to determine whether drafter should
use `sp` or not.

Also, it changes the `eager` of drafter to be a real `eager` in frontend
to avoid a `fx-graph` problem.

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

N/A

### How was this patch tested?

For simpilicity, we test it as in
https://github.com/vllm-project/vllm-ascend/issues/5825.

And we get the same result of `eagle3` with `sp` disabled.

```text
--------------------------------------------------
total_num_output_tokens: 1000
num_drafts: 437
num_draft_tokens: 1311
num_accepted_tokens: 564
mean acceptance length: 2.29
--------------------------------------------------
acceptance at token 0: 0.62
acceptance at token 1: 0.40
acceptance at token 2: 0.27
acceptance at token 3: 0.00
acceptance at token 4: 0.00
acceptance at token 5: 0.00
```

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

Signed-off-by: drslark <slarksblood@qq.com>
2026-01-14 09:00:37 +08:00
zhangxinyuehfad
f7b904641e [Main2Main] Upgrade vllm commit to 0109 (#5752)
### What this PR does / why we need it?
Upgrade vllm commit to 0109 (bde38c11df0ea066a740efe9b77fff5418be45df)

1. remove `init_cached_hf_modules ` due to
https://github.com/vllm-project/vllm/pull/31786
2. fix spec_decode e2e test due to
https://github.com/vllm-project/vllm/pull/29821 break
3. fix `vllm.v1.attention.backends.utils` duo to
https://github.com/vllm-project/vllm/pull/31891
4. fix `self.seq_lens - query_lens` on same device due to
https://github.com/vllm-project/vllm/pull/31773
5. skip model_runner_v2 e2e test due to `'_OpNamespace' '_C' object has
no attribute 'get_cuda_view_from_cpu_tensor'`

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

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-13 19:14:43 +08:00
yupeng
5b95c6b03a [Test][e2e][LoRA] Add more e2e tests to cover scenarios of LoRA (#4075)
### What this PR does / why we need it?

This PR depends on PR
https://github.com/vllm-project/vllm-ascend/pull/4046. And only if the
latter merged, it will work.

This PR aims to solve the issue
https://github.com/vllm-project/vllm-ascend/issues/3240.

The new-added Llama-2-7b-hf and Qwen3-0.6B testcases will cover the
senarios that the LoRA weights are added to q_proj, v_proj, k_proj,
o_proj, gate_proj, up_proj, down_proj, embed_tokens and lm_head modules.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
pytest -sv tests/e2e/singlecard/test_llama2_lora.py
pytest -sv tests/e2e/singlecard/test_qwen3_multi_loras.py


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

---------

Signed-off-by: paulyu12 <507435917@qq.com>
2026-01-13 16:32:28 +08:00
wangxiyuan
84d4f474c0 [CI] Unblock 4-cards test (#5831)
CI cost time:
single: 160min
2-cards: 110min
4-cards: 120min

full cost time:
before this PR: max(160, 110)+120 = 280min
after this PR: min(160, 110)+120 = 230min

Reduce 50min for e2e test.

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

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-13 11:15:29 +08:00
ZT-AIA
e11ff8e535 [BufFix]Fix the error when using Ascend custom operators with rank=128 (#5394)
### What this PR does / why we need it?
The customized ascend operator sgmv_expand and sgmv_shrink applies only
to the scenario where rank is 8,16,32,64. When rank >= 128, the operator
is out of range, causing the model to report an error.
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?
Depends on this commit https://github.com/vllm-project/vllm/pull/31408 
- vLLM version: release/v0.13.0
- vLLM main:
254f6b9867

---------

Signed-off-by: ZT-AIA <1028681969@qq.com>
Signed-off-by: ZT-AIA <63220130+ZT-AIA@users.noreply.github.com>
2026-01-09 15:57:43 +08:00
Li Wang
920bbe932f [CI] Drop outdated cases (#5709)
### What this PR does / why we need it?
Correcting some outdated use cases:
`tests/e2e/singlecard/test_aclgraph_accuracy.py::test_models_output` ->
`tests/e2e/singlecard/test_aclgraph_accuracy.py::test_piecewise_res_consistency`
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

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

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-08 11:23:44 +08:00
wangxiyuan
6f7a81cd9f [CI] cleanup single/multi-card test (#5623)
1. speed up e2e light test.
2. create `2-cards` and `4-cards` folder in multicard
3. move ops to nightly
4. run test in Alphabetical Order

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

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-07 14:13:34 +08:00
Ronald
6ea2afe5fa [Feature] implement basic framework for batch invariant (#5517)
### What this PR does / why we need it?
This PR implement the basic framework for batch invariant, please see
https://github.com/vllm-project/vllm-ascend/issues/5487.
### Does this PR introduce _any_ user-facing change?
we reuse the function `vllm_is_batch_invariant` in vllm to judge if
batch invariant is enabled.

- vLLM version: v0.13.0
- vLLM main:
45c1ca1ca1
---------
Signed-off-by: Ronald1995 <ronaldautomobile@163.com>
Signed-off-by: Lord_of_Ironhill <suiweiyi@huawei.com>
Signed-off-by: zjchenn <zjchenn@gmail.com>
Signed-off-by: wangx700 <wangxin700@huawei.com>
Co-authored-by: Lord_of_Ironhill <suiweiyi@huawei.com>
Co-authored-by: zjchenn <zjchenn@gmail.com>
Co-authored-by: wangx700 <wangxin700@huawei.com>
2026-01-07 09:11:26 +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
16b1bee804 [bugfix] fix test_camem failed with triton-ascend (#5492)
### What this PR does / why we need it?
This fixes a bug that occurred when running `test_camem.py` in the
triton-ascend environment `NPU function error:
aclrtGetMemInfo(ACL_HBM_MEM, &device_free, &device_total)`

- vLLM version: v0.13.0
- vLLM main:
5326c89803

---------

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-05 20:10:54 +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
wjunLu
3c2d3e52e5 [Main2Main] Upgrade vllm commit to 1230 (#5495)
### What this PR does / why we need it?

Upgrade vllm commit to 1230

Affected by https://github.com/vllm-project/vllm/pull/27614 (and the
core PR https://github.com/vllm-project/vllm/pull/26866), we have to
make the following changes:

1. Modify `tests/e2e/multicard/test_aclgraph_capture_replay.py` to keep
compatible with both vllm version of `v0.13.0` and latest main commitID,
while vllm enables async scheduling by default
2. Skip `test_guided_decoding.py` due to xgrammar errors
(https://github.com/vllm-project/vllm-ascend/issues/5524)

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

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
45c1ca1ca1

---------

Signed-off-by: wjunLu <wjunlu217@gmail.com>
2025-12-31 09:44:35 +08:00
lilinsiman
46862ce1af [main][test] Refactor the mtp and eagle test case (#5326)
### What this PR does / why we need it?
1. Refactor the current test with mtp and eagle cases
2. Add new necessary cases with mtp and eagle

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

### How was this patch tested?
ut

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

---------

Signed-off-by: lilinsiman <lilinsiman@gmail.com>
2025-12-31 09:22:58 +08:00
Li Wang
073097a9a1 [3/N][Nightly] Move ops tests to nightly (#5538)
### What this PR does / why we need it?
Follow https://github.com/vllm-project/vllm-ascend/pull/5479, since the
cases `tests/e2e/nightly/ops/triton/` have to been verified stable
enough, we should move it to nightly in principle

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-12-30 20:50:44 +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
Ronald
e7e1a7dc05 [Feature] support eager mode in model runner v2 (#5210)
### What this PR does / why we need it?
#5051 only implement a basic framework for model runner v2, but there
are still some bugs for e2e functionality, this PR aim to enable basic
functionality.
model runner v2 plans:
https://github.com/vllm-project/vllm-ascend/issues/5208

- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c
---------
Signed-off-by: Ronald1995 <ronaldautomobile@163.com>
2025-12-29 15:28:34 +08:00
whx
3f33ad23fe [BugFix] Fix npu-cpu offloading interface change bug. (#5290)
### What this PR does / why we need it?
Last month the interface of `OffloadingSpec` has
changed(https://github.com/vllm-project/vllm/pull/27743). This PR fixes
this bug and adds e2e test for cpu offloading.

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

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


- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c

---------

Signed-off-by: whx-sjtu <2952154980@qq.com>
2025-12-27 10:21:20 +08:00
Wang Kunpeng
bc5b7a5fb5 [bugfix] Fix MHA model runtime error in aclgraph mode (#5397)
### What this PR does / why we need it?
Currently, MHA models (eg: minicpm-2b, Baichuan-7b) will encounter
errors when running in piecewise graph mode, with error messages similar
to:
```
(E89999):  When layout is TND and PA not enabled, keyT(8) and valueT(8) must be equal to the last element of actualSeqenceLengthKV(5)[FUNC:CheckInputShapeWhenLayoutIsTND][FILE:prompt_flash_attention_tiling.cpp][LINE:3618]
```
The error occurs because the qkv in the Prefill stage is also padded,
causing the shape to be inconsistent with actual_seq_lengths.
Add unpadding logic for kv.

- vLLM version: release/v0.13.0
- vLLM main:
254f6b9867

Signed-off-by: Wang Kunpeng <1289706727@qq.com>
2025-12-26 21:37:28 +08:00
Mengqing Cao
4ce32c1a8d [CI] Skip failed test cases to recover CI (#5368)
### What this PR does / why we need it?
Skip `test_minicpm_2b` to recover CI. Not sure why this ci failed, but
we'd skip it quickly to recover CI.

test_minicpm_2b related failed PRs:

https://github.com/vllm-project/vllm-ascend/actions/runs/20502414919/job/58911802576?pr=5274

https://github.com/vllm-project/vllm-ascend/actions/runs/20502596934/job/58912315736?pr=5322

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

Signed-off-by: MengqingCao <cmq0113@163.com>
Co-authored-by: weijinqian0 <1184188277@qq.com>
2025-12-26 08:18:23 +08:00
Wang Kunpeng
13cd6362c6 [bugfix] fix Error 'ValueError: Duplicate layer name' (#5280)
### What this PR does / why we need it?
When matmul_and_reduce is enabled, the prefix attribute is required.
However, in some models, the prefix is not passed correctly, causing
errors when starting the service.
The issue of incorrect prefix passing will be fixed in vLLM in the
future.

- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c
---------
Signed-off-by: Wang Kunpeng <1289706727@qq.com>
2025-12-25 10:43:24 +08:00
Ascendyh
a90482803d [Kernel] add l2norm triton kernel (#4595)
### What this PR does / why we need it?
This pull request introduces an L2 normalization kernel implemented in
Triton, specifically optimized for Ascend NPUs.
### Does this PR introduce _any_ user-facing change?
No, this PR does not introduce any user-facing changes.
### How was this patch tested?

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

---------

Signed-off-by: Ascendyh <hw7osiris@outlook.com>
Co-authored-by: Mengqing Cao <cmq0113@163.com>
2025-12-25 06:06:18 +08:00
Mengqing Cao
e54630e01c Revert [KV-Sharing] Support KV-Sharing feature in CLA models (#4138) (#5317)
### What this PR does / why we need it?
Revert [KV-Sharing] Support KV-Sharing feature in CLA models (#4138) as
it causes deepseek v3.2 hang error


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

---------

Signed-off-by: MengqingCao <cmq0113@163.com>
2025-12-24 22:24:17 +08:00
wangxiyuan
fb3d6ca08c Cleanup uesless env (#5270)
`VLLM_ENABLE_FUSED_EXPERTS_ALLGATHER_EP` is not used anywhere, let's
remove it.
- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2025-12-24 22:07:59 +08:00
zhangyiming
bd4fb871c6 [CI] Add skipped testcases. (#5254)
### What this PR does / why we need it?
Some E2E testcases are not in our CI workflow, this PR add them back.

- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c

Signed-off-by: menogrey <1299267905@qq.com>
2025-12-24 10:41:32 +08:00
zhangxinyuehfad
8ae7fca947 [CI] refect e2e ci test (#5246)
### What this PR does / why we need it?
efect e2e ci test:
1. tests/e2e/singlecard/pooling/test_embedding.py: remove the eager
parameter and rename test case
2. tests/e2e/singlecard/pooling/test_scoring.py: Rename test cases
3. tests/e2e/singlecard/pooling/test_classification.py: Rename test case
4. tests/e2e/singlecard/test_quantization.py: remove the eager parameter
and chage model to vllm-ascend/Qwen2.5-0.6B-W8A8 and Rename test case
5. tests/e2e/multicard/test_shared_expert_dp.py: Rename test cases
6. tests/e2e/singlecard/test_sampler.py: Rename test cases
7. tests/e2e/singlecard/test_aclgraph_accuracy.py: Rename test cases
8. tests/e2e/multicard/test_offline_inference_distributed.py: Rename
test cases and remove the eager parameter
9. tests/e2e/multicard/long_sequence/test_accuracy.py: Rename test cases
and remove the eager parameter
10. tests/e2e/multicard/long_sequence/test_basic.py: Rename test cases
and remove the eager parameter
11.tests/e2e/multicard/test_expert_parallel.py:remove the eager
parameter
12.tests/e2e/multicard/test_full_graph_mode.py:remove the eager
parameter
13.tests/e2e/multicard/test_ilama_lora_tp2.py:remove the eager parameter

14.tests/e2e/singlecard/spec_decode_v1/test_v1_mtp_correctness.py:remove
the eager parameter
15.tests/e2e/singlecard/spec_decode_v1/test_v1_spec_decode.py:remove the
eager parameter
16.tests/e2e/singlecard/test_aclgraph_accuracy.py:remove the eager
parameter
17.tests/e2e/singlecard/test_camem.py:remove the eager parameter
18.tests/e2e/singlecard/test_ilama_lora.py:remove the eager parameter

19.tests/e2e/singlecard/test_multistream_overlap_shared_expert.py:remove
the eager parameter
20.tests/e2e/singlecard/test_vlm.py:remove the eager parameter
21.tests/e2e/singlecard/test_xli:remove the eager parameter

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

### How was this patch tested?

- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2025-12-23 18:42:35 +08:00
Li Wang
5d1f6daef6 [CI] Mock spawn for vlm tests (#5279)
### What this PR does / why we need it?
Using `spawn` in continuous testing scenarios
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-12-23 18:35:06 +08:00
SILONG ZENG
29a93daa82 [CI]refactor: standardize test case naming convention (#5243)
### What this PR does / why we need it?
- Standardize test case naming in `vllm-ascend/tests/e2e/multicard/` to
follow the `<model>_<feature>_<distributed>` convention.

- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c

---------

Signed-off-by: MrZ20 <2609716663@qq.com>
Signed-off-by: root <root@LAPTOP-VQKDDVMG.localdomain>
Co-authored-by: root <root@LAPTOP-VQKDDVMG.localdomain>
2025-12-23 14:13:42 +08:00