Commit Graph

10 Commits

Author SHA1 Message Date
wangxiyuan
835b4c8f1d Drop torchair (#4814)
aclgraph is stable and fast now. Let's drop torchair graph mode now.

TODO: some logic to adapt torchair should be cleaned up as well. We'll
do it in the following PR.

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

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Co-authored-by: Mengqing Cao <cmq0113@163.com>
2025-12-10 09:20:40 +08:00
linfeng-yuan
56f01820e8 [Docs]fix the configuration conflicts in documentation (#4823)
### What this PR does / why we need it?
Fix configuration error in our documentations.

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

### How was this patch tested?
NA.

Signed-off-by: linfeng-yuan <1102311262@qq.com>
2025-12-09 15:37:38 +08:00
wangxiyuan
cb33b09179 [Doc]clean up ascend scheduler config from doc (#4612)
clean up ascend scheduler config from doc

- vLLM version: v0.11.2

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2025-12-02 14:22:56 +08:00
Mengqing Cao
517fd9272d Revert "drop ascend scheduler" (#4580)
Reverts vllm-project/vllm-ascend#4498
- vLLM version: v0.11.2
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2
2025-11-29 22:20:48 +08:00
wangxiyuan
f10acddb78 drop ascend scheduler (#4498)
Ascend scheduler was added for non chunk prefill case before, since that
the npu ops didn't work well with chunked prefill.

Now the ops with chunked prefill work better, it's time to remove the
ascend scheduler to use vLLM default scheduler.

- vLLM version: v0.11.2

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2025-11-29 16:18:34 +08:00
wangxiyuan
f811a24bf0 Remove VLLM_USE_V1 (#4086)
Drop VLLM_USE_V1 usage.  This env has been removed from vLLM already.

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

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2025-11-11 15:43:39 +08:00
whx
0a526768f5 [Feature] Support moe multi-stream for aclgraph. (#2946)
This PR puts the calculation of shared experts into a separate stream,
overlaping with routing experts.

- vLLM version: v0.10.2
- vLLM main:
fbd6523ac0

---------

Signed-off-by: whx-sjtu <2952154980@qq.com>
2025-09-19 11:06:45 +08:00
xleoken
bea3d5bbb4 [Bug] Fix run bug in run_dp_server.sh (#2139)
### What this PR does / why we need it?

For `Qwen2.5-0.5B-Instruct` model
- the model's total number of attention heads (14) must be divisible by
tensor parallel size. (4 -> 2)
- the model does not support enable-expert-parallel

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

No.

### How was this patch tested?

Local Test.

- vLLM version: v0.10.0
- vLLM main:
ad57f23f6a

Signed-off-by: xleoken <xleoken@163.com>
2025-08-02 16:52:12 +08:00
zzzzwwjj
ba3dfbd59e [main][refactor] Refactoring forward_context and model_runner_v1 (#1979)
### What this PR does / why we need it?

A refactoring of forward_context and model_runner_v1, add some context
which is necessary in model inference into forward_context, and refactor
dummy_run logic, make it more reasonable.
Some details for this PR:

Add `ascend_forward_context`;
Update mc2_v2 op, and support `active_mask` param;
Update scripts in examples dir;
refactor `dummy_run` logic;
Add soc_version for A2 and A3;

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

No change at user-facing.

### How was this patch tested?


- vLLM version: v0.10.0
- vLLM main:
57c22e57f9

Signed-off-by: zzzzwwjj <1183291235@qq.com>
2025-07-28 14:06:20 +08:00
whx
8b194ad12e [Disaggregated Prefill] P2P Disaggregated Prefill based on llm_datadist (#694)
### What this PR does / why we need it?
- This PR proposes a P2P version of Disaggregated Prefill based on
llm_datadist which manages data transfer.

- This solution reconstructs previous offline single-node Disaggregated
Prefill solution, and supports multi-node and online serveing now.

- Currently this solution supports 1P1D situation of Deepseek hybrid
parallelism (P: TP+EP, D: DP+EP). Note that xPyD situation is considered
in the solution design, and will be supported soon within v1 engine.

---------

Signed-off-by: hw_whx <wanghexiang7@huawei.com>
Signed-off-by: ganyi <pleaplusone.gy@gmail.com>
Co-authored-by: hw_whx <wanghexiang7@huawei.com>
Co-authored-by: ganyi <pleaplusone.gy@gmail.com>
2025-05-01 22:31:36 +08:00