Commit Graph

5 Commits

Author SHA1 Message Date
wangxiyuan
a055183821 [CI] Upgrade vLLM version (#3139)
Upgrade vLLM version to the newest commit.
- Fix the break change introduced by
969b4da3a6
- Add a patch to quick fix torhcair
de94289a98
- fix the ut error introduced by
de94289a98

Close: https://github.com/vllm-project/vllm-ascend/issues/3138


- vLLM version: v0.10.2
- vLLM main:
f225ea7dd9

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Signed-off-by: MengqingCao <cmq0113@163.com>
Co-authored-by: MengqingCao <cmq0113@163.com>
2025-09-25 07:36:51 +08:00
realliujiaxu
af2a886814 refactor linear (#2867)
### What this PR does / why we need it?
The current linear.py has the following issues:

- There is redundant conditional logic in the `comm_group` and `forward`
selection for classes such as `AscendMergedColumnParallelLinear`.

- Inconsistent comm_group selection logic exists among
`AscendMergedColumnParallelLinear`, `AscendColumnParallelLinear`, and
`AscendQKVParallelLinear`.

To address these two issues, this PR encapsulates `comm_group` and
`forward` into classes and extracts the classes selection logic into
common functions. For future additions of custom communication groups or
forward methods, it will only be necessary to extend
`CustomColumnParallelOp` or `CustomRowParallelOp` and add new selection
logic.

### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?


- vLLM version: v0.10.2
- vLLM main:
dd39baf717

---------

Signed-off-by: realliujiaxu <realliujiaxu@163.com>
Co-authored-by: weijinqian0 <weijinqian@huawei.com>
2025-09-18 14:09:19 +08:00
6lazijiamo
bd3dedea61 support qwen25 vl w8a8 quantization (#2778)
### What this PR does / why we need it?
support qwen25 vl w8a8 quantization
### Does this PR introduce _any_ user-facing change?
N/A
### How was this patch tested?

- vLLM version: v0.10.1.1
- vLLM main:
62f66be1f7

---------

Signed-off-by: lijiaojiao <lijiaojiao990304@163.com>
Co-authored-by: lijiaojiao <lijiaojiao990304@163.com>
2025-09-11 16:40:51 +08:00
lidenghui1110
5a7181569c [feat]: oproj tensor parallelism in pure DP and graph-mode scenarios. (#2167)
### What this PR does / why we need it?
This PR introduces Oproj matrix tensor model parallel to achieve
decreasing of memory consumption. It only support graph mode in pure DP
scenario.

In deepseek r1 w8a8 PD disagregated Decode instance, using pure DP, with
oproj_tensor_parallel_size = 8, we have 1 ms TPOT increasing, saved 5.8
GB NPU memory per RANK. We got best performance when
oproj_tensor_parallel_size=4 without TPOT increasing.

performance data:
<img width="1442" height="442" alt="image"
src="https://github.com/user-attachments/assets/83270fc5-868a-4387-b0a9-fac29b4a376d"
/>

### Does this PR introduce _any_ user-facing change?
This PR introduces one new config in `additional_config`.
| Name | Effect | Required | Type | Constraints |
| :---------------------------- |
:--------------------------------------- | :------- | :--- |
:----------------- |
| oproj_tensor_parallel_size | Split the o_proj matrix along the row
dimension (head num * head dim) into oproj_tensor_parallel_size pieces.
| No | int | default value is None, once this value is set, the feature
will be enabled, head num * head dim must be divisible by this value. |

example

`--additional_config={"oproj_tensor_parallel_size": 8}`

### How was this patch tested?


- vLLM version: v0.10.1.1
- vLLM main:
eddaafc1c7

---------

Signed-off-by: zzhx1 <zzh_201018@outlook.com>
Co-authored-by: zzh <zzh_201018@outlook.com>
2025-09-07 10:31:32 +08:00
Ronald1995
e8660d7978 ut:add ut for qwen2_5_vl (#2143)
### What this PR does / why we need it?
add ut for qwen2_5_vl

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

### How was this patch tested?
not involved

- vLLM version: v0.10.0
- vLLM main:
2836dd73f1

Signed-off-by: Ronald1995 <ronaldautomobile@163.com>
2025-07-31 20:46:17 +08:00