### What this PR does / why we need it?
This PR supports torchair graph mode with non-mla backend on both 800IA2
and 300I Duo platforms. The main change is to add
`attention_v1_torchair.py` to support specific attention related
operations that are required by torchair.
### Does this PR introduce _any_ user-facing change?
Before this PR, vLLM-Ascend only allows deepseek to use torchair. Now we
can also use it with pangu. Besides, we add a support model list to
control which type of models that can use torchair.
### How was this patch tested?
We have test it with PanguProMoE on both 800IA2 and 300I Duo platforms,
and model generates answer normally.
---------
Signed-off-by: angazenn <zengyanjia@huawei.com>
Signed-off-by: tianyitang <tangtianyi4@huawei.com>
Co-authored-by: angazenn <zengyanjia@huawei.com>
Co-authored-by: tianyitang <tangtianyi4@huawei.com>
### What this PR does / why we need it?
Fix word spelling in DOC.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
No.
Signed-off-by: paulyu12 <507435917@qq.com>
### What this PR does / why we need it?
Add LoRA user guide to DOC. The content refers to [LoRA
Adapters](https://docs.vllm.ai/en/latest/features/lora.html).
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
No
---------
Signed-off-by: paulyu12 <507435917@qq.com>
### What this PR does / why we need it?
- Update Altlas 300I series doc: cleanup unused parameters and enable
optimized ops
- Fix code spell CI
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI passed
---------
Signed-off-by: leo-pony <nengjunma@outlook.com>
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
Co-authored-by: Yikun Jiang <yikunkero@gmail.com>
### What this PR does / why we need it?
Add Pangu MoE Pro for 300I series docs
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI passed
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
### What this PR does / why we need it?
support pangu moe w8a8c8
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI passed with new added test.
Signed-off-by: zhuyilin <809721801@qq.com>
### What this PR does / why we need it?
Add guidance on how to implement and register new models.
Modified based on PR
https://github.com/vllm-project/vllm-ascend/pull/1126, thanks for the
contribution of @linfeng-yuan.
---------
Signed-off-by: shen-shanshan <467638484@qq.com>
1. Format the developer guide content to make it more clear
2. Add the patch doc for developer guide
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
- Fix
[doctest](https://github.com/vllm-project/vllm-ascend/actions/workflows/vllm_ascend_doctest.yaml?query=event%3Aschedule)
- add system package installation
- Add doc for run doctests
- Cleanup all extra steps in .github/workflows/vllm_ascend_doctest.yaml
- Change schedule job from 4 ---> 12 hours
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
- doctest CI passed
- Local test with
`/vllm-workspace/vllm-ascend/tests/e2e/run_doctests.sh`.
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
### What this PR does / why we need it?
Modify installation.md for adding pip extra index of torch-npu
### How was this patch tested?
No need
---------
Signed-off-by: Icey <1790571317@qq.com>
Add a new FAQ, if users re-install vllm-ascend with pip, the `build`
folder should be removed first
---------
Signed-off-by: rjg-lyh <1318825571@qq.com>
Signed-off-by: weiguihua <weiguihua2@huawei.com>
Signed-off-by: weiguihua2 <weiguihua2@huawei.com>
### What this PR does / why we need it?
This PR update the torch_npu to newest release version
2.5.1.post1.dev20250619 .
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI tested will guarantee the update
Signed-off-by: ganyi <pleaplusone.gy@gmail.com>
### What this PR does / why we need it?
Change not to no in faqs.md.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Local Test
Signed-off-by: xleoken <xleoken@163.com>
### What this PR does / why we need it?
Cleanup ununsed doc for MoGE model, we will add back this when MoGE
model ready.
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI passed
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
### What this PR does / why we need it?
Add user guide for quantization
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
Preview
Signed-off-by: 22dimensions <waitingwind@foxmail.com>
### What this PR does / why we need it?
This PR refactor the user stories page:
- Move it to community
- Add initial info of LLaMA-Factory, Huggingface/trl, MindIE Turbo,
GPUStack, verl
- Add a new page for LLaMA-Factory
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
Preview locally
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
### What this PR does / why we need it?
Add ut for torchair graph mode on DeepSeekV3
### How was this patch tested?
CI passed with new added test.
---------
Signed-off-by: MengqingCao <cmq0113@163.com>
Signed-off-by: Mengqing Cao <cmq0113@163.com>
### What this PR does / why we need it?
Add @jianzs as vLLM Ascend maintainer
@jianzs
----
I would like to nominate Shoujian Zheng (@jianzs
<https://github.com/jianzs>) as a maintainer, starting with my +1.
- He focuses on the code quality and good design with solid reviews in P/D
disaggregation and DeepSeek improvement area about 30+ high quality review, such
as #issuecomment-2811764833, #discussion_r2069927605 and
#pullrequestreview-2820996674. This is the most important reason why I nominated
him, because helping community developers complete PRs with high quality and
continuously ensure the quality of codebase is one of the important
responsibilities of a maintainer. We believe he is a great addition.
- Shoujian's main expertise is distributed inference. He has a lot of experience
in production about AI infra. He has very good habits and explains in great
detail all changes #issue-3023082580 anqd share results open:
#issuecomment-2853140443. And High quality PR: #706, #774, #852.
- Community Involvement: Active involved in community discussion, he is
collaborative and helps the users solve problems, involved in 30+ PR and issue,
such as #issuecomment-2911934292 and #issuecomment-2833523571.
Reference:
[1] https://vllm-ascend.readthedocs.io/en/latest/community/contributors.html
[2] https://vllm-ascend.readthedocs.io/en/latest/community/governance.html
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
### What this PR does / why we need it?
Move all vector operations to a secondary stream, with the expected
overlaping being:
```
| q_rmsnorm | | kv_norm_rope_cache | | q_rope |
| matmul W_DQ | matmul W_DKV | index | index | matmul W_UQ | split | matmul W_KV_T |
```
Currently, the `IndexByTensor` operators introduced by computation of
`cos` and `sin` can't be offloaded to the secondary stream due to a
known bug of graph fusion optimization pass. So we instead keep it in
the main stream, only requires it be computed before `matmul W_UQ` to
avoid hindering later overlapping. The problem may be solved by later
optimization (#993), which hoists the computation of `cos` and `sin` up
to the first layer.
### Does this PR introduce _any_ user-facing change?
Controlled by `torchair_graph_config.enable_multistream_mla`, defaulted
to False.
### How was this patch tested?
Tested on 1x16 910 node, with tailored 2 layer DSKv2.
Signed-off-by: sdmyzlp <lrwei2@petalmail.com>
### What this PR does / why we need it?
fix the CANN download url
### Does this PR introduce _any_ user-facing change?
no, do not have any user-facing change
### How was this patch tested?
run the **wget** command and cann package is rightly downloaded.
---------
Signed-off-by: wan_danfeng <wonderful199082@126.com>
Contains on #1111 for completeness.
<!-- Thanks for sending a pull request!
BEFORE SUBMITTING, PLEASE READ
https://docs.vllm.ai/en/latest/contributing/overview.html
-->
### What this PR does / why we need it?
Implement multi-stream parallelism for MoE layers with shared experts,
where computation of shared experts will be overlapped with expert token
dispatch and combine. Also, when multi-stream is enabled, weights of
shared experts will be force to replicate across all cards, regardless
of any tensor parallelism configurations, to avoid AllReduce operations.
With the expected overlaping being:
```
| shared gate_up | shared act | | shared down |
| dispatch | routed gate_up, act, down | combine |
```
<!--
- Please clarify what changes you are proposing. The purpose of this
section is to outline the changes and how this PR fixes the issue.
If possible, please consider writing useful notes for better and faster
reviews in your PR.
- Please clarify why the changes are needed. For instance, the use case
and bug description.
- Fixes #
-->
### Does this PR introduce _any_ user-facing change?
No.
<!--
Note that it means *any* user-facing change including all aspects such
as API, interface or other behavior changes.
Documentation-only updates are not considered user-facing changes.
-->
### How was this patch tested?
Tested on 1x16 910 node, with tailored 2 layer DSKv2.
<!--
CI passed with new added/existing test.
If it was tested in a way different from regular unit tests, please
clarify how you tested step by step, ideally copy and paste-able, so
that other reviewers can test and check, and descendants can verify in
the future.
If tests were not added, please describe why they were not added and/or
why it was difficult to add.
-->
---------
Signed-off-by: sdmyzlp <lrwei2@petalmail.com>
### What this PR does / why we need it?
Improve assertion on Graph mode with MLA.
When running deepseek with graph mode, the fused MLA op only support
`numHeads / numKvHeads ∈ {32, 64, 128}`, thus we improve the assertion
info here to avoid users confused with this.
### Does this PR introduce _any_ user-facing change?
Adjusting tp size is required when running deepseek-v3/r1 with graph
mode. deepseek-v2-lite is not supported in graph mode.
### How was this patch tested?
Test locally as the CI machine could not run V3 due to the HBM limits.
---------
Signed-off-by: MengqingCao <cmq0113@163.com>
1. Add `__init__.py` for vllm_ascend/compilation to make sure it's a
python module
2. Fix model runner bug to keep the same with vllm
3. Add release note for 0.9.0rc2
---------
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
Make accuarcy CI and report work
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
Manaully review
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
### What this PR does / why we need it?
Update 0.9.0rc1 contributors info
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI passed
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
1. Update 0.9.0rc1 release date
2. Update feature and model support list
3. Add DP known issue to release note
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
Add EPLB expert map import capabilities
### Does this PR introduce _any_ user-facing change?
When importing the EPLB expert map you need import expert map file by
vllm args additional_config
### How was this patch tested?
1.You need to collect expert hotness and generate an expert placement
file based on the hotness and the EPLB algorithm, or you can directly
use an existing expert placement table.
2.When launching vLLM, enable EC2 and pass the configuration via the
command-line argument:
--additional-config '{"expert_map_path": "/xxx/xxx/xx.json"}
Co-authored-by: songshanhu07 <1763685535@qq.com>
---------
Signed-off-by: songshanhu07 <1763685535@qq.com>
Signed-off-by: Yuxiao-Xu <664988918@qq.com>
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Co-authored-by: songshanhu07 <1763685535@qq.com>
Co-authored-by: Xu Yuxiao <xuyuxiao2@huawei.com>
Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
View optimization in torchair (defaulted to on for Transpose with any of
its axis being 1) prevents the weight Transpose to be fused with later
GroupedMatmul, which decrease the performance of MoE layer when expert
parallelism equals the total number of experts (e.g. EP256 for DSKv3).
Add an option to solve this problem by disabling the optimization.
### Does this PR introduce _any_ user-facing change?
Controlled by
`additional_config.torchair_graph_config.enable_view_optimize`,
defaulted to `True`.
### How was this patch tested?
Tested on 1x16 910 node, with tailored 2 layer DSKv2.
Signed-off-by: sdmyzlp <lrwei2@petalmail.com>
Fix the ascend config check logic:
1. refactor check_ascend_config to make it clear:
1. torchair graph should not work with enforce_eager=True
2. aclgraph should not work with torchair graph
3. add refresh config for rlhf case
4. fix a typo in model runner
5. change expert_tensor_parallel_size default to 0 to keep the same as
before
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
