d9ac7e8539
### What this PR does / why we need it?
#### Problem
When decode node enables prefix cache and the local prefix cache fully
hits, the following assertion error occurs:
```
(EngineCore_DP3 pid=34912) File "/usr/local/python3.11.14/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 520, in step_with_batch_queue
(EngineCore_DP3 pid=34912) engine_core_outputs = self.scheduler.update_from_output(
(EngineCore_DP3 pid=34912) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP3 pid=34912) File "/usr/local/python3.11.14/lib/python3.11/site-packages/vllm/v1/core/sched/scheduler.py", line 1520, in update_from_output
(EngineCore_DP3 pid=34912) self._update_from_kv_xfer_finished(kv_connector_output)
(EngineCore_DP3 pid=34912) File "/usr/local/python3.11.14/lib/python3.11/site-packages/vllm/v1/core/sched/scheduler.py", line 2120, in _update_from_kv_xfer_finished
(EngineCore_DP3 pid=34912) assert RequestStatus.is_finished(req.status)
(EngineCore_DP3 pid=34912) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP3 pid=34912) AssertionError
```
The error is triggered in scheduler.py at _update_from_kv_xfer_finished:
```
if req.status == RequestStatus.WAITING_FOR_REMOTE_KVS:
self.finished_recving_kv_req_ids.add(req_id)
else:
assert RequestStatus.is_finished(req.status)
```
#### Root Cause
When decode node has prefix cache enabled and local prefix cache fully
hits:
1. get_num_new_matched_tokens returns ext_tokens=0, load_kv_async=False
when decode prefix cache fully hits
2. Request status becomes RUNNING (not WAITING_FOR_REMOTE_KVS)
3. However, update_state_after_alloc still adds the request to
_reqs_need_recv because remote_block_ids exists in kv_transfer_params
4. Worker processes the request in _handle_request:
- _transfer_kv_cache returns immediately (no actual transfer,
local_block_ids is empty)
- finally block still calls update_done_task_count(request_id)
5. finished_recving contains this request
6. When _update_from_kv_xfer_finished processes finished_recving,
request status is RUNNING
7. Assertion fails
#### Solution
In _handle_request, only notify scheduler (update_done_task_count) when
actual KV transfer happened (local_block_ids is not empty). The signals
to notify Prefill to release KVCache
(_send_done_signal_to_free_remote_port and _send_done_recv_signal) are
still sent regardless.
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.17.0
- vLLM main:
4034c3d32e
Signed-off-by: LCAIZJ <leichao139636@163.com>
vLLM Ascend Plugin
| About Ascend | Documentation | #SIG-Ascend | Users Forum | Weekly Meeting |
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Latest News 🔥
- [2026/02] We released the new official version v0.13.0! Please follow the official guide to start using vLLM Ascend Plugin on Ascend.
- [2025/12] We released the new official version v0.11.0! Please follow the official guide to start using vLLM Ascend Plugin on Ascend.
- [2025/09] We released the new official version v0.9.1! Please follow the official guide to start deploying 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 the 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-Experts (MoE), 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 == 8.5.0 (Ascend HDK version refers to here)
- PyTorch == 2.9.0, torch-npu == 2.9.0
- vLLM (the same version as vllm-ascend)
Getting Started
Please use the following recommended versions to get started quickly:
| Version | Release type | Doc |
|---|---|---|
| v0.17.0rc1 | Latest release candidate | See QuickStart and Installation for more details |
| v0.13.0 | Latest stable version | See QuickStart and Installation for more details |
Contributing
See CONTRIBUTING for more details, which is a step-by-step guide to help you set up the 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 a main branch and a dev branch.
- main: main branch, corresponds to the vLLM main branch, and is continuously monitored for quality through Ascend CI.
- releases/vX.Y.Z: development branch, created alongside new releases of vLLM. For example,
releases/v0.13.0is the dev branch for vLLMv0.13.0version.
Below are the maintained branches:
| Branch | Status | Note |
|---|---|---|
| main | Maintained | CI commitment for vLLM main branch and vLLM v0.17.0 tag |
| v0.7.1-dev | Unmaintained | Only doc fixes are allowed |
| v0.7.3-dev | Maintained | CI commitment for vLLM 0.7.3 version, only bug fixes are allowed, and no new release tags anymore. |
| 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 |
| releases/v0.13.0 | Maintained | CI commitment for vLLM 0.13.0 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.