Ascend scheduler was added for non chunk prefill case before, since that
the npu ops didn't work well with chunked prefill.
Now the ops with chunked prefill work better, it's time to remove the
ascend scheduler to use vLLM default scheduler.
- vLLM version: v0.11.2
---------
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
qwen3-next suppot triton chunk_gated_delta_rule ops
### co-owners
@OsirisDuan
- vLLM version: v0.11.2
Signed-off-by: shiyuan680 <917935075@qq.com>
### What this PR does / why we need it?
This PR introduces support for adding custom CANN `aclnn` ops to
`vllm-ascend`, allowing users to define and use their own custom
operators.
Key changes include:
- Building and installing custom ops into the `vllm-ascend`-specified
directory
- Binding the `aclnn` op interface to the `torch.ops._C_ascend` module
- Enabling invocation of these ops within `vllm-ascend`
This PR includes a sample custom op:
`aclnnGroupedMatmulSwigluQuantWeightNzTensorList`, which is adapted from
the CANN operator
[`aclnnGroupedMatmulSwigluQuantWeightNZ`](https://www.hiascend.com/document/detail/zh/canncommercial/83RC1/API/aolapi/context/aclnnGroupedMatmulSwigluQuantWeightNZ.md).
Its input parameters `weight` and `weight_scale` now accept
`list[torch.Tensor]` (i.e., `at::TensorList`).
### Does this PR introduce _any_ user-facing change?
No.
- vLLM version: v0.11.2
---------
Signed-off-by: QianChenxi <chenxi.qian.cq@outlook.com>
### What this PR does / why we need it?
While using the LLM Compressor quantization tool from the VLLM community
to generate quantized weights, the VLLM Ascend engine needs to be
adapted to support the compressed tensors quantization format.
1. Add AscendCompressedTensorsConfig to replace CompressedTensorsConfig
in vllm.
2. Support CompressedTensorsW8A8 static weight.
- weight: per-channel, int8, symmetric; activation: per-tensor, int8,
symmetric.
4. Support CompressedTensorsW8A8Dynamic weight.
- weight: per-channel, int8, symmetric; activation: per-token, int8,
symmetric, dynamic.
5. Modify the override_quantization_method in AscendQuantConfig.
Co-authored-by: taoqun110 taoqun@huawei.com
Co-authored-by: chenxi-hh chen464822955@163.com
- vLLM version: v0.11.2
---------
Signed-off-by: LHXuuu <scut_xlh@163.com>
Signed-off-by: chenxi-hh <chen464822955@163.com>
Signed-off-by: chenxi-hh <32731611+chenxi-hh@users.noreply.github.com>
Co-authored-by: chenxi-hh <chen464822955@163.com>
Co-authored-by: chenxi-hh <32731611+chenxi-hh@users.noreply.github.com>
### What this PR does / why we need it?
Upgrade cann to 8.3rc2
### Does this PR introduce _any_ user-facing change?
Yes, docker image will use 8.3.RC2
- vLLM version: v0.11.2
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2
---------
Signed-off-by: MrZ20 <2609716663@qq.com>
This PR introduces the `EXEC_NPU_CMD` macro, serving as an adapter layer
to simplify the invocation of `aclnn` operators on Ascend NPUs.
**Key Changes:**
* **Adapter Layer:** Added `EXEC_NPU_CMD` macro and related dependencies
to standardize `aclnn` calls.
* **Operator Support:** Integrated `grouped_matmul_swiglu_quant` as a
reference implementation to demonstrate the usage of the new macro.
---
- vLLM version: v0.11.2
---------
Signed-off-by: SlightwindSec <slightwindsec@gmail.com>
### What this PR does / why we need it?
| | cpu envir | npu envir |
|---|---|---|
| set `SOC_VERSION` | check if `SOC_VERSION` is in dict `soc_to_device`,
if not, raise an error that can not support current chip type. | print a
warning log when `SOC_VERSION` is not equal to chip type from `npu-smi`,
same as left for others. |
| not set `SOC_VERSION` | raise an error that `SOC_VERSION` is necessary
when compiling in a cpu envir. | use chip type from `npu-smi` to compile
vllm-ascend. |
### Does this PR introduce _any_ user-facing change?
Now we must set env `SOC_VERSION` when compiling in cpu envir.
### How was this patch tested?
- vLLM version: v0.11.2
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2
Signed-off-by: zzzzwwjj <1183291235@qq.com>
1. Run 4-card test only when single and 2-card test passed
2. rename file to make it more clear
3. remove useless pd workflow, it has been managed by nightly test
already.
- vLLM version: v0.11.2
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
There is a lot hack code for v0.11.0, which makes the code hard to
upgrade to newer vLLM version. Since v0.11.0 will release soon. Let's
drop v0.11.0 support first. Then we'll upgrade to v0.11.2 soon.
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
When we are using `Ascend scheduler`, the param `max_num_batched_tokens`
should be larger than `max_model_len`, otherwise, will encountered the
follow error:
```shell
Value error, Ascend scheduler is enabled without chunked prefill feature. Argument max_num_batched_tokens (4096) is smaller than max_model_len (32768). This effectively limits the maximum sequence length to max_num_batched_tokens and makes vLLM reject longer sequences. Please increase max_num_batched_tokens or decrease max_model_len. [type=value_error, input_value=ArgsKwargs((), {'model_co...g': {'enabled': True}}}), input_type=ArgsKwargs]
```
### Does this PR introduce _any_ user-facing change?
Users/Developers who running the model according to the
[tutorial](https://docs.vllm.ai/projects/ascend/en/latest/tutorials/multi_node.html),
the parameters can be specified correctly.
### How was this patch tested?
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
---------
Signed-off-by: wangli <wangli858794774@gmail.com>
### What this PR does / why we need it?
For multi-node CI system, we need to ensure that cluster resources meet
the expected specifications before conducting multi-node
interoperability tests. Otherwise, unexpected errors may occur (for
example, we might mistakenly assume all nodes are ready and perform a
global cluster IP acquisition, which would cause an exception to be
thrown in Python because some nodes might not actually be ready at that
point). Therefore, we need to wait at the workflow level until all
resources meet the expected specifications.
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
---------
Signed-off-by: wangli <wangli858794774@gmail.com>
### What this PR does / why we need it?
Add ACL graph capture/replay DP test, this is a imprved version of #3886
Restructures the multi-card ACL graph test for improved clarity,
robustness, and accuracy.
Key improvements include:
- Replaces fragile `sys.settrace` and manual patching with a clean,
reusable spy installer using `unittest.mock.patch`.
- Introduces more precise metrics by tracking
`NPUModelRunner.execute_model` and `_dummy_run` calls directly.
- Rewrites assertions to be more accurate and provides clear
explanations for the expected counts of graph captures, replays, model
executions, and dummy runs.
- Simplifies the overall test structure by separating the worker logic
into a dedicated function.
- Removes a long, unnecessary sleep at the end of the test.
- Expands test coverage by adding a larger `max_tokens` parameter.
### Does this PR introduce _any_ user-facing change?
None.
### How was this patch tested?
None.
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
---------
Signed-off-by: lilinsiman <lilinsiman@gmail.com>
Signed-off-by: Yizhou Liu <liu_yizhou@outlook.com>
Co-authored-by: lilinsiman <lilinsiman@gmail.com>
### What this PR does / why we need it?
Add tests for the multi-node DeepSeek-V2-Lite network in GE Graph mode,
and supplement the end-to-end (e2e) tests for the MLA and NZ features of
this network.
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
---------
Signed-off-by: CodeNine-CJ <chenjian343@huawei.com>
### What this PR does / why we need it?
The current library only supports the FullDecodeOnly graph mode, which
enables full graph execution during the decode. This PR extends support
to allow full graph execution in both the prefill and decode, referred
to as FULL graph mode.
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
Signed-off-by: wangxiaoxin-sherie <wangxiaoxin7@huawei.com>
Co-authored-by: wangxiaoxin-sherie <wangxiaoxin7@huawei.com>
### What this PR does / why we need it?
[CI] Fix no space left in build wheel CI.
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
Signed-off-by: menogrey <1299267905@qq.com>
### What this PR does / why we need it?
- skip the nightly image build when the github event is pull_request
- set imagepullpolicy as alway for multi_node test
- move multi_node tests ahead to have some resource clean first
- do not relevant nightly image build with nightly tests for tolerance
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
---------
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Signed-off-by: wangli <wangli858794774@gmail.com>
Co-authored-by: wangli <wangli858794774@gmail.com>
### What this PR does / why we need it?
add DeepSeek-R1-W8A8 and Qwen3-235B-W8A8 configs in multi-nodes and EPLB
scenario
### Does this PR introduce _any_ user-facing change?
no
- vLLM version: v0.11.0
- vLLM main:
83f478bb19
---------
Signed-off-by: 白永斌 <baiyongbin3@h-partners.com>
Co-authored-by: 白永斌 <baiyongbin3@h-partners.com>
### What this PR does / why we need it?
Given the current excessively long build time of our nightly-ci, I
recommend installing necessary, confirmed versions of packages in the
Docker image to reduce the time required for integration testing.
Including Mooncake vllm with fixed tags, This is expected to reduce
nightly-ci duration by 2 hours.
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
---------
Signed-off-by: wangli <wangli858794774@gmail.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?
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?
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?
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?
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 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?
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 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?
[UT] fix ut test for test_utils that
https://github.com/vllm-project/vllm-ascend/pull/3612 skipped.
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
vLLM version: v0.11.0rc3
vLLM main:
17c540a993
- vLLM version: v0.11.0rc3
- vLLM main:
83f478bb19
---------
Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
