### What this PR does / why we need it?
Now, from https://github.com/vllm-project/vllm-ascend/pull/3967, chunked
prefill and spiltfuse are defaultly enabled.
The e2e test for mtp breaks now.
After locating the bug, we found that a triton operator does not support
chunked prefill.
But if let e2e test be skipped is bad.
So, we changed the e2e test to only test the case in which chunked
prefill is off.
### Does this PR introduce _any_ user-facing change?
N/A
### How was this patch tested?
Because we only modified
`test_models_distributed_Qwen3_NEXT_MTP_TP4_SIMILARITY`.
So, we only run `pytest -s
tests/e2e/multicard/test_qwen3_next.py::test_models_distributed_Qwen3_NEXT_MTP_TP4_SIMILARITY`
locally to test it.
Below is the result:
```text
==================================================================================================================== warnings summary ====================================================================================================================
usr/local/python3.11.10/lib/python3.11/site-packages/torch_npu/dynamo/torchair/__init__.py:8
/usr/local/python3.11.10/lib/python3.11/site-packages/torch_npu/dynamo/torchair/__init__.py:8: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
import pkg_resources
<frozen importlib._bootstrap>:241
<frozen importlib._bootstrap>:241: DeprecationWarning: builtin type SwigPyPacked has no __module__ attribute
<frozen importlib._bootstrap>:241
<frozen importlib._bootstrap>:241: DeprecationWarning: builtin type SwigPyObject has no __module__ attribute
tests/e2e/multicard/test_qwen3_next.py::test_models_distributed_Qwen3_NEXT_MTP_TP4_SIMILARITY
tests/e2e/multicard/test_qwen3_next.py::test_models_distributed_Qwen3_NEXT_MTP_TP4_SIMILARITY
/usr/local/python3.11.10/lib/python3.11/site-packages/pydantic/_internal/_dataclasses.py:121: DeprecationWarning: The 'task' option has been deprecated and will be removed in v0.13.0 or v1.0, whichever comes first. Please remove this option.
s.__pydantic_validator__.validate_python(ArgsKwargs(args, kwargs), self_instance=s)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
======================================================================================================= 1 passed, 5 warnings in 314.52s (0:05:14) ========================================================================================================
sys:1: DeprecationWarning: builtin type swigvarlink has no __module__ attribute
```
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
Signed-off-by: drslark <slarksblood@qq.com>
### What this PR does / why we need it?
In PR https://github.com/vllm-project/vllm-ascend/pull/3420, we
initially placed the quantization type (quant_type) in the MoECommMethod
class. However, since MoECommMethod follows a singleton pattern, it
couldn't accommodate scenarios where different layers in the model might
use different quantization approaches (e.g., MTP modules using
floating-point computation while the main model employs quantized
computation).
In this PR, we've moved the quantization type to the AscendFusedMoe
class and pass it as a parameter to MoECommMethod.
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
```bash
export HCCL_BUFFSIZE=1024
export VLLM_VERSION=0.11.0
vllm serve /home/data/DeepSeek-R1_w8a8/ \
--data-parallel-size 2 \
--tensor-parallel-size 8 \
--enable-expert-parallel \
--served-model-name dsv3 \
--max-model-len 32768 \
--max-num-batched-tokens 4096 \
--max-num-seqs 16 \
--quantization ascend \
--trust-remote-code \
--gpu-memory-utilization 0.9 \
--speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
```
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: realliujiaxu <realliujiaxu@163.com>
### What this PR does / why we need it?
Explicit specification `NUMEXPR_MAX_THREADS` to avoid `Error. nthreads
cannot be larger than environment variable "NUMEXPR_MAX_THREADS" (64)`
Signed-off-by: wangli <wangli858794774@gmail.com>
### What this PR does / why we need it?
DS don't have 'AscendAttentionMetadataBuilder' class so will fail in
fullgraph.
We resolved the issue by modifying the code to only check for
'GDNAttentionMetadataBuilder ', while all other attention cases follow
the default branch.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: wangxiaoxin-sherie <wangxiaoxin7@huawei.com>
Co-authored-by: wangxiaoxin-sherie <wangxiaoxin7@huawei.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?
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?
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?
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?
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?
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?
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 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?
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?
move quant before allgather in Allgather EP, rely on
https://github.com/vllm-project/vllm-ascend/pull/3334
Deepseek R1 W8A8 performance on A2 with
`HCCL_ALGO="level0:NA;level1:pipeline"`:
| Seq length | Mean TTFT (ms) main | Mean TTFT (ms) this PR |
|----------|----------|----------|
| 4k | 375.21 | 364.99 |
| 16k | 1465.23 | 1421.75 |
### 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?
This PR adds full graph for multimodal nightly test, we need to maintain
this senario
### 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?
Add accuracy test for multiple models：
- Meta_Llama_3.1_8B_Instruct
- Qwen2.5-Omni-7B
- Qwen3-VL-8B-Instruct
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: MrZ20 <2609716663@qq.com>
### What this PR does / why we need it?
Add accuracy test for qwen3-8b-w8a8
- vLLM version: v0.11.0rc3
- vLLM main:
c9461e05a4
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
### What this PR does / why we need it?
This PR upgrade CANN from 8.2rc1 to 8.3rc1 and remove the CANN version
check logic.
TODO: we notice that UT runs failed with CANN 8.3 image. So the base
image for UT is still 8.2. We'll fix it later.
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
The current test cases lack end-to-end (e2e) testing for the
deepseek-v2-lite network in ge graph mode.
### 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: CodeNine-CJ <chenjian343@huawei.com>
### What this PR does / why we need it?
- Add support for DeepSeek v3.2 in FULL_DECODE_ONLY mode.
- Add unit test for sfa_v1.
### 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: 1Fire4 <wangdingyi2@huawei.com>
### What this PR does / why we need it?
Because the previous commit hash was accidentally deleted or
overwritten. This patch correct the commit hash available for
https://github.com/AscendTransport/Mooncake to make nightly ci happy
### 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?
Upgrade torch-npu to the official release version 2.7.1
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
As a validation for #3664, add end-to-end tests to monitor the InternVL
model and ensure its continuous proper operation. This PR is only for
single-card. So the models that have more parameters than 8B like 78B
are needed to test using multi-cards.
### Does this PR introduce _any_ user-facing change?
None.
### How was this patch tested?
`pytest -sv tests/e2e/singlecard/multi-modal/test_internvl.py`
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: gcanlin <canlinguosdu@gmail.com>
### What this PR does / why we need it?
add new test model for aclgraph single_request
### 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?
add new e2e tests case for aclgraph memory
### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
ut
- vLLM version: v0.11.0rc3
- vLLM main:
83f478bb19
Signed-off-by: lilinsiman <lilinsiman@gmail.com>
### What this PR does / why we need it?
This patch mainly fix the the problem of not being able to determine the
exit status of the pod's entrypoint script and some other tiny
optimizations:
1. Shorten wait for server timeout
2. fix typo
3. fix the issue of ais_bench failing to correctly access the proxy URL
in a PD separation scenario.
### 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?
Refactored the layerwise code to send to the D node first, preventing
P-node hangs due to communication timeouts when DP > 1.
### 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: wangxiaoteng <wangxiaoteng@huawei.com>
Signed-off-by: liziyu <liziyu16@huawei.com>
Co-authored-by: liziyu <liziyu16@huawei.com>
### What this PR does / why we need it?
This PR adds MALPO for deepseek aclgraph, we need to test it nightly
### 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>
