9d84172359
### What this PR does / why we need it?
Now, from https://github.com/vllm-project/vllm-ascend/pull/3967, chunked
prefill and spiltfuse are defaultly enabled.
The e2e test for mtp breaks now.
After locating the bug, we found that a triton operator does not support
chunked prefill.
But if let e2e test be skipped is bad.
So, we changed the e2e test to only test the case in which chunked
prefill is off.
### Does this PR introduce _any_ user-facing change?
N/A
### How was this patch tested?
Because we only modified
`test_models_distributed_Qwen3_NEXT_MTP_TP4_SIMILARITY`.
So, we only run `pytest -s
tests/e2e/multicard/test_qwen3_next.py::test_models_distributed_Qwen3_NEXT_MTP_TP4_SIMILARITY`
locally to test it.
Below is the result:
```text
==================================================================================================================== warnings summary ====================================================================================================================
usr/local/python3.11.10/lib/python3.11/site-packages/torch_npu/dynamo/torchair/__init__.py:8
/usr/local/python3.11.10/lib/python3.11/site-packages/torch_npu/dynamo/torchair/__init__.py:8: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
import pkg_resources
<frozen importlib._bootstrap>:241
<frozen importlib._bootstrap>:241: DeprecationWarning: builtin type SwigPyPacked has no __module__ attribute
<frozen importlib._bootstrap>:241
<frozen importlib._bootstrap>:241: DeprecationWarning: builtin type SwigPyObject has no __module__ attribute
tests/e2e/multicard/test_qwen3_next.py::test_models_distributed_Qwen3_NEXT_MTP_TP4_SIMILARITY
tests/e2e/multicard/test_qwen3_next.py::test_models_distributed_Qwen3_NEXT_MTP_TP4_SIMILARITY
/usr/local/python3.11.10/lib/python3.11/site-packages/pydantic/_internal/_dataclasses.py:121: DeprecationWarning: The 'task' option has been deprecated and will be removed in v0.13.0 or v1.0, whichever comes first. Please remove this option.
s.__pydantic_validator__.validate_python(ArgsKwargs(args, kwargs), self_instance=s)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
======================================================================================================= 1 passed, 5 warnings in 314.52s (0:05:14) ========================================================================================================
sys:1: DeprecationWarning: builtin type swigvarlink has no __module__ attribute
```
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
Signed-off-by: drslark <slarksblood@qq.com>
vLLM Ascend Plugin
| About Ascend | Documentation | #sig-ascend | Users Forum | Weekly Meeting |
English | 中文
Latest News 🔥
- [2025/09] We released the new official version v0.9.1! Please follow the official guide to start deploy large scale Expert Parallelism (EP) on Ascend.
- [2025/08] We hosted the vLLM Beijing Meetup with vLLM and Tencent! Please find the meetup slides here.
- [2025/06] User stories page is now live! It kicks off with LLaMA-Factory/verl//TRL/GPUStack to demonstrate how vLLM Ascend assists Ascend users in enhancing their experience across fine-tuning, evaluation, reinforcement learning (RL), and deployment scenarios.
- [2025/06] Contributors page is now live! All contributions deserve to be recorded, thanks for all contributors.
- [2025/05] We've released first official version v0.7.3! We collaborated with the vLLM community to publish a blog post sharing our practice: Introducing vLLM Hardware Plugin, Best Practice from Ascend NPU.
- [2025/03] We hosted the vLLM Beijing Meetup with vLLM team! Please find the meetup slides here.
- [2025/02] vLLM community officially created vllm-project/vllm-ascend repo for running vLLM seamlessly on the Ascend NPU.
- [2024/12] We are working with the vLLM community to support [RFC]: Hardware pluggable.
Overview
vLLM Ascend (vllm-ascend) is a community maintained hardware plugin for running vLLM seamlessly on the Ascend NPU.
It is the recommended approach for supporting the Ascend backend within the vLLM community. It adheres to the principles outlined in the [RFC]: Hardware pluggable, providing a hardware-pluggable interface that decouples the integration of the Ascend NPU with vLLM.
By using vLLM Ascend plugin, popular open-source models, including Transformer-like, Mixture-of-Expert, Embedding, Multi-modal LLMs can run seamlessly on the Ascend NPU.
Prerequisites
- Hardware: Atlas 800I A2 Inference series, Atlas A2 Training series, Atlas 800I A3 Inference series, Atlas A3 Training series, Atlas 300I Duo (Experimental)
- OS: Linux
- Software:
- Python >= 3.10, < 3.12
- CANN >= 8.3.rc1 (Ascend HDK version refers to here)
- PyTorch == 2.7.1, torch-npu == 2.7.1
- vLLM (the same version as vllm-ascend)
Getting Started
Please use the following recommended versions to get started quickly:
| Version | Release type | Doc |
|---|---|---|
| v0.11.0rc1 | Latest release candidate | QuickStart and Installation for more details |
| v0.9.1 | Latest stable version | QuickStart and Installation for more details |
Contributing
See CONTRIBUTING for more details, which is a step-by-step guide to help you set up development environment, build and test.
We welcome and value any contributions and collaborations:
- Please let us know if you encounter a bug by filing an issue
- Please use User forum for usage questions and help.
Branch
vllm-ascend has main branch and dev branch.
- main: main branch，corresponds to the vLLM main branch, and is continuously monitored for quality through Ascend CI.
- vX.Y.Z-dev: development branch, created with part of new releases of vLLM. For example,
v0.7.3-devis the dev branch for vLLMv0.7.3version.
Below is maintained branches:
| Branch | Status | Note |
|---|---|---|
| main | Maintained | CI commitment for vLLM main branch and vLLM v0.11.0 tag |
| v0.7.1-dev | Unmaintained | Only doc fixed is allowed |
| v0.7.3-dev | Maintained | CI commitment for vLLM 0.7.3 version, only bug fix is allowed and no new release tag any more. |
| v0.9.1-dev | Maintained | CI commitment for vLLM 0.9.1 version |
| v0.11.0-dev | Maintained | CI commitment for vLLM 0.11.0 version |
| rfc/feature-name | Maintained | Feature branches for collaboration |
Please refer to Versioning policy for more details.
Weekly Meeting
- vLLM Ascend Weekly Meeting: https://tinyurl.com/vllm-ascend-meeting
- Wednesday, 15:00 - 16:00 (UTC+8, Convert to your timezone)
License
Apache License 2.0, as found in the LICENSE file.