### What this PR does / why we need it?
Replace masked in-place assignment with a device-side torch.where so
selection stays on-device, allowing subsequent device ops to be enqueued
earlier and removing an implicit D2H sync, reducing latency by several
hundreds μs on Ascend.
### Does this PR introduce _any_ user-facing change?
None.
### How was this patch tested?
None.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: Yizhou Liu <liu_yizhou@outlook.com>
### What this PR does / why we need it?
To support the data collection capabilities of the msServiceProfiler on
vLLM-ascned framework and enable customization of data collection points
via configuration file, a default profiling configuration has been added
to vllm-ascend, facilitating debugging and optimization for developers
and users.
### Does this PR introduce _any_ user-facing change?
None
### How was this patch tested?
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: minghangc <29514143@qq.com>
### What this PR does / why we need it?
To continuously monitor the accuracy of the InternVL3_5-8B model, this
PR adds the corresponding configuration file to the CI. We need to add
the `-hf` suffix to avoid incompatibility with the `lm-eval`
preprocessor.
### How was this patch tested?
`pytest -sv ./tests/e2e/models/test_lm_eval_correctness.py --config
./tests/e2e/models/configs/InternVL3_5-8B.yaml`
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: gcanlin <canlinguosdu@gmail.com>
### What this PR does / why we need it?
Reference #2167 and orpoj TP supports ACL graph.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: zzhx1 <zzh_201018@outlook.com>
### What this PR does / why we need it?
This PR updates some nightly test cases and adds mtpx cases, we need to
test them daily
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
By running the test
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: jiangyunfan1 <jiangyunfan1@h-partners.com>
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>
### What this PR does / why we need it?
Fix ci test on A3
1. delete lables
2. fix filter yaml file name
3. refactor dist test to e2e full test
4. skip test_models_distributed_Qwen3_MOE_TP2_WITH_EP &
test_models_distributed_Qwen3_MOE_W8A8_WITH_EP because of
https://github.com/vllm-project/vllm-ascend/issues/3895
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
### What this PR does / why we need it?
Use pip installation in installation doc and change related doctest to
validate.
### Does this PR introduce _any_ user-facing change?
No, doc only
### How was this patch tested?
Doctest related CI passed
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
### What this PR does / why we need it?
ChunkPrefill now can support Long Sequence Feature Pcp&Dcp
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI tests passed with self-test
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: Apocalypse990923-qshi <qiushixu@usc.edu>
Signed-off-by: Delphine-Nic <tanwenqin@huawei.com>
Co-authored-by: Delphine-Nic <tanwenqin@huawei.com>
Co-authored-by: Delphine-Nic <3834144971@qq.com>
### What this PR does / why we need it?
Fix ngram precision issue and open e2e ngram test
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: Icey <1790571317@qq.com>
Signed-off-by: zhaomingyu <zhaomingyu13@h-partners.com>
Co-authored-by: Icey <1790571317@qq.com>
### What this PR does / why we need it?
v0.11.0rc1 will introduce w4a4 quantization feature, so add this
tutorial.
### Does this PR introduce _any_ user-facing change?
No
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: 22dimensions <waitingwind@foxmail.com>
### What this PR does / why we need it?
This PR reverts the changes introduced in PR #2894 Initially, due to
performance issues with the older version of the chunked prefill ops,
the default behavior was to use the Ascend scheduler to disable the
chunked prefill feature. However, with the improvements in the
performance of the new chunked prefill ops, this interception strategy
has been removed. This change also aligns with the community's default
configuration behavior.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
CI passed with new added/existing test.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: rjg-lyh <1318825571@qq.com>
### What this PR does / why we need it?
First-generation model:uses"LLama",subsequent models use"Llama"
The second"L"here should be lowercase.Other instances of "LLama"on
this page should be corrected accordingly
### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
ut
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: herizhen <you@example.com>
Co-authored-by: herizhen <you@example.com>
### What this PR does / why we need it?
fix Qwen2-Audio-7B-Instruct accuracy test
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
### What this PR does / why we need it?
Closes#3728, #3657.
The main branch is now aligned with the vllm `releases/v0.11.1` branch,
which no longer supports `Python 3.9`. Check it
[here](https://github.com/vllm-project/vllm/blob/releases/v0.11.1/pyproject.toml).
### Does this PR introduce _any_ user-facing change?
The newest version of vllm-ascend don't support Python 3.9.
### How was this patch tested?
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: gcanlin <canlinguosdu@gmail.com>
### What this PR does / why we need it?
Supports generalized FlashComm2 optimization, which reduces
communication overhead, decreases RmsNorm computation, and saves one
AllGather step by replacing Allreduce operations in the Attention module
with pre-AlltoAll and post-AllGather operations (used in combination
with FlashComm1). This feature is enabled during the Prefill phase and
is recommended to be used together with FlashComm1, delivering broad
performance improvements, especially in long sequence scenarios with
large tensor parallelism (TP) configurations. Benchmark tests show that
under TP16DP1 configuration, it can improve the prefill performance of
the DeepSeek model by 8% on top of FlashComm1.
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: zzhxx <2783294813@qq.com>
Signed-off-by: Levi-JQ <yujinqi2@huawei.com>
Co-authored-by: Levi-JQ <yujinqi2@huawei.com>
Co-authored-by: zzhxx <2783294813@qq.com>
### What this PR does / why we need it?
Remove extra MLAPO installation step for DeepSeek-V3.2.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: menogrey <1299267905@qq.com>
### What this PR does / why we need it?
This PR adds some qwen3-235b-w8a8 cases qwen3-30b-w8a8 cases, we need
test them daily
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
by running the test
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: jiangyunfan1 <jiangyunfan1@h-partners.com>
### What this PR does / why we need it?
Corrected the errors in the information
### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
ut
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: lilinsiman <lilinsiman@gmail.com>
### What this PR does / why we need it?
In the DCP-PCP graph mode scenario, there is a shape issue with multiple
batches. This PR fixes this problem.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: weiguihua2 <weiguihua2@huawei.com>
### What this PR does / why we need it?
The code bug caused an empty bubble. When the npu_paged_cache_load
operator was called, it forcibly transferred seq_len2 to the device,
which triggered synchronization and interrupted the CPU operator's
launch stream.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: underfituu <hzhucong@163.com>
### What this PR does / why we need it?
1. Fix proxy format processing errors.
2. Layer-wise connector performance optimization.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
By CI.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: nwpu-zxr <zhouxuerong2@huawei.com>
Co-authored-by: wangxiaoteng <wangxiaoteng@huawei.com>
### What this PR does / why we need it?
enable sleepmode level2 e2e test and add the check logic to ensure the
nz is not enabled.
### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
use e2e tests
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: wangx700 <wangxin700@huawei.com>
### What this PR does / why we need it?
This pr fixes ci on eplb
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: offline0806 <3337230449@qq.com>
Co-authored-by: offline0806 <3337230449@qq.com>
### What this PR does / why we need it?
Adapts mtp function to Qwen3-next.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: drslark <slarksblood@qq.com>
### What this PR does / why we need it?
Add model feature matrix table.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: menogrey <1299267905@qq.com>
### What this PR does / why we need it?
add new ut case for aclgraph in auto enable
### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
ut
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: lilinsiman <lilinsiman@gmail.com>
### What this PR does / why we need it?
1、in mla_v1 module, add torch_npu.npu_attention_update op when pcp and dcp
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: LookAround <lixushi@huawei.com>
### What this PR does / why we need it?
1、update prepare_finalize.py：fix A2 accuracy problem when pcp and dcp
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: LookAround <lixushi@huawei.com>
### What this PR does / why we need it?
This PR fixes a bug where the workspace of `_npu_paged_attention` in
setup is smaller than execution. For current implementation of
FULL_DECODE_ONLY with `_npu_paged_attention`, we use
`_npu_paged_attention_get_workspace` when capturing with `max_model_len`
as `seq_lens`. This assumes that PA with larger `seq_lens` inputs should
have larger workspace than smaller `seq_lens`. However, there are rare
cases where PA with smaller `seq_lens` incurs larger space. So I add
`get_workspace` directly into `update_attn_params`.
This change might introduce small(≈1%) performance degradation for low
num_tokens(such as 1) in decode phase, and there is no other known
memory issues. So I think this change is acceptable. We can remove this
if new attention op (such as `npu_fused_infer_attention_score`) does not
have such problems.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: Angazenn <supperccell@163.com>
### What this PR does / why we need it?
Fixes a compatible bug with `torch_npu.npu_fused_infer_attention_score`
which is discribed in
https://github.com/vllm-project/vllm-ascend/issues/4020.
@momo609 tells us this solution.
### Does this PR introduce _any_ user-facing change?
N/A
### How was this patch tested?
The environment is same with this issue,
https://github.com/vllm-project/vllm-ascend/issues/4020.
We modify the code according to
https://github.com/vllm-project/vllm-ascend/pull/3918.
And run below codes:
```python
# run with Qwen3-next-mtp
prompts = [
"Who are you?",
]
sampling_params = SamplingParams(temperature=0.0, top_p=0.95, top_k=40, max_tokens=128)
llm = LLM(model="/home/model/Qwen3-Next-80B-A3B-Instruct",
tensor_parallel_size=4,
enforce_eager=True,
distributed_executor_backend="mp",
gpu_memory_utilization=0.7,
speculative_config={
"method": "qwen3_next_mtp",
"num_speculative_tokens": 1,
},
max_model_len=4096)
outputs = llm.generate(prompts, sampling_params)
for output in outputs:
prompt = output.prompt
generated_text = output.outputs[0].text
print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
```
Outputs:
```text
Prompt: 'Who are you?', Generated text: ' I am Qwen, a large-scale language model independently developed by the Tongyi Lab under Alibaba Group. I am designed to answer questions, create text such as stories, official documents, emails, scripts, and more, as well as perform logical reasoning, programming, and other tasks. If you have any questions or need assistance, feel free to let me know anytime!'
```
Now, `torch_npu.npu_fused_infer_attention_score` is compatible with
Qwen3-Next.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: drslark <slarksblood@qq.com>
### What this PR does / why we need it?
Add Add constraints for sequence parallelism for unsupported scenarios:
1. tp_size > 1
2. enable_expert_parallel must be True for MoE model
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: realliujiaxu <realliujiaxu@163.com>
### What this PR does / why we need it?
Since we have upgraded to CANN 8.3rc1, we will no longer use the
privately maintained Mooncake repository, but instead use the official
release released by Mooncake:
https://github.com/kvcache-ai/Mooncake/releases/tag/v0.3.7.post2 .
Next step: this is only a temporary solution. We will integrate mooncake
into the vllm-ascend base image later for easier use. see
https://github.com/vllm-project/vllm-ascend/pull/3989
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: wangli <wangli858794774@gmail.com>
### What this PR does / why we need it?
This PR updates the acc test standard for some cases, we need it to
better maintain acc
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
by running the test
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: jiangyunfan1 <jiangyunfan1@h-partners.com>
### What this PR does / why we need it?
1、in attention_v1 module, convert bsnd t0 tnd when pcp and dcp
2、fix tochair bug: service startup problem
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: weiguihua2 <weiguihua2@huawei.com>
### What this PR does / why we need it?
- global_segment_size and local_buffer_size use constants for unified
management.
- Newly added support for input formats ending with GB, MB, KB, and B,
while being compatible with existing input methods.
### Does this PR introduce _any_ user-facing change?
- Users can use new input methods
- The documentation has also been modified
### How was this patch tested?
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: 李子琦 <liziqi_ing@163.com>
### What this PR does / why we need it?
Make kv-transfer env variable take effect and Fix load-balance proxy.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
By CI.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: liziyu <liziyu16@huawei.com>
Signed-off-by: nwpu-zxr <zhouxuerong2@huawei.com>
Co-authored-by: liziyu <liziyu16@huawei.com>
### What this PR does / why we need it?
Refactor accuracy test to nightly test
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
### What this PR does / why we need it?
Add adxl timeout parameter in kv pool user guide, avoiding timeout error
when initializing connections between devices.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: Pz1116 <zpbzpb123123@gmail.com>
### What this PR does / why we need it?
Add developer guide of eplb
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: offline0806 <3337230449@qq.com>
Co-authored-by: offline0806 <3337230449@qq.com>
Add version policy for main branch to clear how vllm-ascend work with
vllm
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
