Commit Graph

9 Commits

Author SHA1 Message Date
jiahao.quan
7221045777 [Attention] add gpt-oss support (#5901)
### What this PR does / why we need it?
Please refer to the following link for the historical conversation
https://github.com/vllm-project/vllm-ascend/pull/4467. We have made
updates in light of the comments from the prior PR review. Given the
refactoring of the attention_v1 component, we have carried out necessary
adjustments to fit the newly revised code.

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

1. Modified the code in the Attention section to adapt to the SWA and
Sink features required by gpt-oss.
2. Modified the code in the MoE section to add support for bias and
swigluoai.

### How was this patch tested?
Please refer to the
https://github.com/vllm-project/vllm-ascend/pull/4467 for performance
tests, on the basis of which the accuracy tests from AIME2024 have been
newly added.

![img_v3_02tu_501e88e3-2217-4565-8edf-b9acf4f43f2g](https://github.com/user-attachments/assets/024f8283-18ab-4d4d-ab12-27917b5d7d06)


- vLLM version: v0.13.0
- vLLM main:
bde38c11df

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Signed-off-by: mikequan0425 <mikequan0425@foxmail.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Signed-off-by: shenchuxiaofugui <1311027364@qq.com>
Signed-off-by: jiangyunfan1 <jiangyunfan1@h-partners.com>
Signed-off-by: pu-zhe <zpuaa@outlook.com>
Signed-off-by: liziyu <liziyu16@huawei.com>
Signed-off-by: wangxiaoteng <wangxiaoteng@huawei.com>
Signed-off-by: luomin2005 <luomin2005@huawei.com>
Signed-off-by: whx-sjtu <2952154980@qq.com>
Signed-off-by: SlightwindSec <slightwindsec@gmail.com>
Signed-off-by: wxsIcey <1790571317@qq.com>
Signed-off-by: MrZ20 <2609716663@qq.com>
Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com>
Co-authored-by: leon_tao <taoyao2@huawei.com>
Co-authored-by: nurxat <738457498@qq.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: mikequan <199741451@qq.com>
Co-authored-by: LI SHENGYONG <49200266+shenchuxiaofugui@users.noreply.github.com>
Co-authored-by: jiangyunfan1 <jiangyunfan1@h-partners.com>
Co-authored-by: pu-zhe <zpuaa@outlook.com>
Co-authored-by: luomin2005 <luomin2005@huawei.com>
Co-authored-by: liziyu <56102866+liziyu179@users.noreply.github.com>
Co-authored-by: wangxiaoteng <wangxiaoteng@huawei.com>
Co-authored-by: whx <56632993+whx-sjtu@users.noreply.github.com>
Co-authored-by: Cao Yi <slightwindsec@gmail.com>
Co-authored-by: Icey <1790571317@qq.com>
Co-authored-by: SILONG ZENG <2609716663@qq.com>
2026-02-12 10:55:34 +08:00
starmountain1997
bfcc372f75 [CI] Add long and short prompt tests for DeepSeek-V3.2 (#6499)
### What this PR does / why we need it?

This PR enhances the test_deepseek3_2_w8a8_pruning_mtp_tp2_ep E2E test
by adding both short and long prompt test cases:
- Short test: Validates basic functionality with minimal input ("Hello
")
- Long test: Validates the model can handle prompts near its maximum
context length (~163K tokens, approaching the max_position_embeddings
limit of 163,840)
Additionally, explicitly sets max_model_len=163840 to ensure the test
properly exercises the model's full context window capability.
### Does this PR introduce _any_ user-facing change?

No. This change only affects internal E2E testing infrastructure.  

### How was this patch tested?

The modified test case will be executed as part of the E2E test suite
and has been validated
[here](https://github.com/vllm-project/vllm-ascend/actions/runs/21620195055/job/62308026205?pr=6499).



- vLLM version: v0.15.0
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.15.0

Signed-off-by: guozr <guozr1997@hotmail.com>
Co-authored-by: guozr <guozr1997@hotmail.com>
2026-02-04 09:10:50 +08:00
Nengjun Ma
78fad4e348 [Refactor] MLP weight prefetch to consistency with MoE Model's prefetching in terms of code and usage (#6442)
### What this PR does / why we need it?
Refactor MLP weight prefetch to consistency with MoE Model's prefetching
in terms of code and usage.
Environments VLLM_ASCEND_ENABLE_PREFETCH_MLP,
VLLM_ASCEND_MLP_DOWN_PREFETCH_SIZE and
VLLM_ASCEND_MLP_GATE_UP_PREFETCH_SIZE is removed, usage as following:

--additional-config '{"weight_prefetch_config": { "enabled": true,
"prefetch_ratio": {"mlp": { "gate_up": 1.0, "down": 1.0} }}}'

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

### How was this patch tested?

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

---------

Signed-off-by: leo-pony <nengjunma@outlook.com>
2026-02-04 09:08:18 +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
starmountain1997
6c73b88dd6 [CI] Enable FLASHCOMM1 with layer_sharding and FULL_DECODE_ONLY in ds32 testing (#6115)
### What this PR does / why we need it?

This PR enables FLASHCOMM1 communication optimization with layer
sharding for DeepSeek-V3.2 W8A8 model testing to
  validate PR #5702. The changes include:

  1. Enable FLASHCOMM1: Set VLLM_ASCEND_ENABLE_FLASHCOMM1=1
  improves performance for distributed inference
2. Add layer sharding: Configure layer_sharding: ["q_b_proj", "o_proj"]
4. Update baselines: Adjust performance baselines to reflect the
improvements from FLASHCOMM1 and layer sharding

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

No. This is a CI/test-only change that enables new communication
optimization features for testing purposes.

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
d68209402d

Signed-off-by: guozr <guozr1997@hotmail.com>
Co-authored-by: guozr <guozr1997@hotmail.com>
2026-01-23 19:48:37 +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
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
Levi
ecd4232698 [Feat] flashcomm2+oshard Generalized (#4723)
### What this PR does / why we need it?
[FlashComm2](https://gitcode.com/ascend-tribe/ascend-inference-cluster/blob/main/FlashComm/FlashComm2%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E4%B8%AD%E4%BB%A5%E5%AD%98%E6%8D%A2%E4%BC%A0%E7%9A%84%E9%80%9A%E4%BF%A1%E4%BC%98%E5%8C%96%E6%8A%80%E6%9C%AF.pdf)
introduces redundant storage of the o_proj matrix, which imposes
pressure on GPU memory. We propose the FlashComm2+Oshard approach by
integrating the shared linear layer feature (#2931). This approach
distributes weights layer-by-layer to each GPU and accesses the o_proj
of each layer via asynchronous broadcast operations, thereby alleviating
memory pressure while achieving nearly lossless performance compared to
the original FlashComm2. This PR implements a generalized
FlashComm2+Oshard solution.

Using following env to support flashcomm2 with oshard

```shell
export VLLM_ASCEND_FLASHCOMM2_PARALLEL_SIZE=1
--additional-config '{
  "layer_sharding": ["o_proj"]
}'
```

### How was this patch tested?

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

---------

Signed-off-by: Levi-JQ <yujinqi2@huawei.com>
Co-authored-by: Levi-JQ <yujinqi2@huawei.com>
2026-01-10 22:57:57 +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