[Core]Init vllm-ascend by wangxiyuan · Pull Request #2 · vllm-project/vllm-ascend

wangxiyuan · 2025-01-29T13:04:49Z

No description provided.

Signed-off-by: MengqingCao <cmq0113@163.com>

* add requirements.txt for npu * update setup.py Signed-off-by: MengqingCao <cmq0113@163.com>

Add npu worker and model_runner

Signed-off-by: MengqingCao <cmq0113@163.com>

* add block_size arg to inference script * add get_current_memory_usage to platform Signed-off-by: MengqingCao <cmq0113@163.com>

Signed-off-by: MengqingCao <cmq0113@163.com>

[bugfix]: attention alibi bias shape is wrong

[Docs] Update docs and code format

[Format] Update docs and add format.sh

Signed-off-by: MengqingCao <cmq0113@163.com>

…aclgraph fix afd with https://github.com/jiangkuaixue123/vllm/commits/jcz_afd_…

Fia rebase

### What this PR does / why we need it? **Scope of Changes**: | File Path | | :--- | | `vllm_ascend/attention/attention_mask.py` | | `vllm_ascend/attention/attention_v1.py` | | `vllm_ascend/attention/context_parallel/attention_cp.py` | | `vllm_ascend/attention/context_parallel/common_cp.py` | | `vllm_ascend/attention/context_parallel/mla_cp.py` | | `vllm_ascend/attention/utils.py` | | `vllm_ascend/batch_invariant.py` | | `vllm_ascend/device/device_op.py` | | `vllm_ascend/device_allocator/camem.py` | | `vllm_ascend/envs.py` | - vLLM version: v0.13.0 - vLLM main: vllm-project/vllm@2c24bc6 --------- Signed-off-by: MrZ20 <2609716663@qq.com>

…to FIA_rebase * 'main' of https://github.com/vllm-project/vllm-ascend: (110 commits) [Performance] Remove index opetation when VLLM_ASCEND_FLASHCOMM2_PARALLEL_SIZE=1 (vllm-project#5936) [main][bugfix] fix mooncake kv cache transfer when one P has multi nodes (vllm-project#5960) [Feature] Adapt DispathGmmCombineDecode opertor to align with weight scale dtype of small operators. [RFC: issue 5476] (vllm-project#5755) [Refactor] Move AttentionSpec initialization to Attention module (vllm-project#5834) [EPLB][Bugfix] policy_swift_balancer bugfix and renaming (vllm-project#5897) [CI]fix for lint CI (vllm-project#5982) [Fusion] [Graph]Add Matmul Allreduce Rmsnorm fusion Pass (vllm-project#5034) [Refactor] Migrate profiler config from env vars to explicit ProfilerConfig (vllm-project#5928) [EPLB][Bugfix] Dispatch Allgather use log2phy if enable eplb (vllm-project#5933) [EPLB][Nightly][Bugfix] Get expert from moe layer only (vllm-project#5908) [Bugfix][MM] Fix multi-modal inference OOM issues by setting `expandable_segments:True` (vllm-project#5855) [doc]Table split (vllm-project#5929) [Doc] Upgrade outdated ut doc (vllm-project#5937) [Lint]Style: Convert `vllm-ascend/` to ruff format(Batch vllm-project#2) (vllm-project#5977) Eagle3 mm support, enablement on qwen3vl (vllm-project#4848) [Doc] Remove Chinese characters from the icons in the doc. (vllm-project#5959) [P/D]The issue of solving the force-free secondary release request, which causes the node to crash. (vllm-project#5968) [Feature] Support fine-grained shared expert overlap (vllm-project#5482) [Bugfix] fix cpu offload hang with tp=1 (vllm-project#5963) [Feature]: Support 310P device run qwen2.5/3 dense and qwen2.5vl models (vllm-project#5776) ...

…to qwen3next_rebase * 'main' of https://github.com/vllm-project/vllm-ascend: (637 commits) [Performance] Remove index opetation when VLLM_ASCEND_FLASHCOMM2_PARALLEL_SIZE=1 (vllm-project#5936) [main][bugfix] fix mooncake kv cache transfer when one P has multi nodes (vllm-project#5960) [Feature] Adapt DispathGmmCombineDecode opertor to align with weight scale dtype of small operators. [RFC: issue 5476] (vllm-project#5755) [Refactor] Move AttentionSpec initialization to Attention module (vllm-project#5834) [EPLB][Bugfix] policy_swift_balancer bugfix and renaming (vllm-project#5897) [CI]fix for lint CI (vllm-project#5982) [Fusion] [Graph]Add Matmul Allreduce Rmsnorm fusion Pass (vllm-project#5034) [Refactor] Migrate profiler config from env vars to explicit ProfilerConfig (vllm-project#5928) [EPLB][Bugfix] Dispatch Allgather use log2phy if enable eplb (vllm-project#5933) [EPLB][Nightly][Bugfix] Get expert from moe layer only (vllm-project#5908) [Bugfix][MM] Fix multi-modal inference OOM issues by setting `expandable_segments:True` (vllm-project#5855) [doc]Table split (vllm-project#5929) [Doc] Upgrade outdated ut doc (vllm-project#5937) [Lint]Style: Convert `vllm-ascend/` to ruff format(Batch vllm-project#2) (vllm-project#5977) Eagle3 mm support, enablement on qwen3vl (vllm-project#4848) [Doc] Remove Chinese characters from the icons in the doc. (vllm-project#5959) [P/D]The issue of solving the force-free secondary release request, which causes the node to crash. (vllm-project#5968) [Feature] Support fine-grained shared expert overlap (vllm-project#5482) [Bugfix] fix cpu offload hang with tp=1 (vllm-project#5963) [Feature]: Support 310P device run qwen2.5/3 dense and qwen2.5vl models (vllm-project#5776) ...

…) (vllm-project#5977) ### What this PR does / why we need it? **Scope of Changes**: | File Path | | :--- | | `vllm_ascend/attention/attention_mask.py` | | `vllm_ascend/attention/attention_v1.py` | | `vllm_ascend/attention/context_parallel/attention_cp.py` | | `vllm_ascend/attention/context_parallel/common_cp.py` | | `vllm_ascend/attention/context_parallel/mla_cp.py` | | `vllm_ascend/attention/utils.py` | | `vllm_ascend/batch_invariant.py` | | `vllm_ascend/device/device_op.py` | | `vllm_ascend/device_allocator/camem.py` | | `vllm_ascend/envs.py` | - vLLM version: v0.13.0 - vLLM main: vllm-project/vllm@2c24bc6 --------- Signed-off-by: MrZ20 <2609716663@qq.com>

we can get kvcomp_metadata from common_attn_metadata now

# This is the 1st commit message: Update rotary_embedding.py Signed-off-by: ZhuJiyang1 <3048369099@qq.com> Update rotary_embedding.py Signed-off-by: ZhuJiyang1 <3048369099@qq.com> Update rotary_embedding.py Signed-off-by: ZhuJiyang1 <3048369099@qq.com> Update rotary_embedding.py Signed-off-by: ZhuJiyang1 <3048369099@qq.com> Update eagle_proposer.py Signed-off-by: ZhuJiyang1 <3048369099@qq.com> [CI] Add long and short prompt tests for DeepSeek-V3.2 (vllm-project#6536) This version has no divisibility constraint between tp and mtp+1. However, cudagraph_capture_sizes must be a common multiple of tp and mtp+1, with a maximum of tp * (mtp+1). Therefore, we fixed cudagraph_capture_sizes. We added a long-sequence test (64k input, 3k output) for the two-node mixed deployment scenario. Due to the excessive time required for performance benchmarking, we are only verifying functionality. The single-node scenario is skipped because VRAM limitations prevent launching the model with a max-model-len of 68,000. and we also add aime2025 test for dual-node deepseek 3.2 nightly test. test at nightly environment. - 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> [Feature][Quant] Auto-detect quantization format from model files (vllm-project#6645) - Add automatic quantization format detection, eliminating the need to manually specify `--quantization` when serving quantized models. - The detection inspects only lightweight JSON files (`quant_model_description.json` and `config.json`) at engine initialization time, with no `.safetensors` reads. - User-explicit `--quantization` flags are always respected; auto-detection only applies when the flag is omitted. **Detection priority:** 1. `quant_model_description.json` exists → `quantization="ascend"` (ModelSlim) 2. `config.json` contains `"quant_method": "compressed-tensors"` → `quantization="compressed-tensors"` (LLM-Compressor) 3. Neither → default float behavior **Technical approach:** Hooked into `NPUPlatform.check_and_update_config()` to run detection after `VllmConfig.__post_init__`. Since `quant_config` is already `None` at that point, we explicitly recreate it via `VllmConfig._get_quantization_config()` to trigger the full quantization initialization pipeline. | File | Description | |------|-------------| | `vllm_ascend/quantization/utils.py` | Added `detect_quantization_method()` and `maybe_auto_detect_quantization()` | | `vllm_ascend/platform.py` | Integrated auto-detection in `check_and_update_config()` | | `vllm_ascend/quantization/modelslim_config.py` | Improved error handling for weight loading | - vLLM version: v0.15.0 - vLLM main: vllm-project/vllm@d7e17aa --------- Signed-off-by: SlightwindSec <slightwindsec@gmail.com> [Misc] Drop patch_rope.py (vllm-project#6291) Part of vllm-project#5304. We have align with vLLM's latest change for `RotaryEmbeddingBase`. Don't need this patch anymore. - vLLM version: v0.14.1 - vLLM main: vllm-project/vllm@dc917cc Signed-off-by: gcanlin <canlinguosdu@gmail.com> [BugFix] [310p] Fix attention accuracy issue (vllm-project#6803) This pull request resolves an attention accuracy issue by enhancing the AttentionMaskBuilder310 to correctly handle the maximum model length. The change ensures that the attention mask generation process is properly parameterized by the model's configuration, rather than relying on a fixed internal value. This leads to more accurate attention mask creation, which is crucial for the correct functioning of the attention mechanism. Update fused_moe to main branch. No Qwen3 dense mode & moe model e2e test - vLLM version: v0.15.0 - vLLM main: vllm-project/vllm@83b47f6 --------- Signed-off-by: pu-zhe <zpuaa@outlook.com> [Doc][Misc] Refactor skill documentation and add Claude support instructions (vllm-project#6817) This PR refactors the documentation for vLLM Ascend skills. - It renames and moves the `vllm-ascend-model-adapter` skill's README to serve as a new top-level README for the `.agents` directory. - It adds instructions on how to use the Ascend skills with Claude, including a new README in the `.claude` directory. - It updates `.gitignore` to exclude skills copied for Claude's use. - Add main2main skill This improves the documentation structure, making it more organized and providing clear instructions for developers using these skills with different tools. No, this PR contains only documentation and repository configuration changes. It does not affect any user-facing code functionality. These changes are documentation-only and do not require specific testing. The correctness of the instructions is being verified through this review. - vLLM version: v0.15.0 - vLLM main: vllm-project/vllm@83b47f6 --------- Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> [Patch][Misc] Cleanup and update patches (vllm-project#6802) This PR performs a cleanup and update of the patch mechanism in `vllm-ascend`. - Removes several obsolete patches: `patch_deepseek.py`. - Updates the central patch documentation in `vllm_ascend/patch/__init__.py` to reflect these removals and additions, re-numbering and re-organizing the patch list for better clarity. No. These are internal changes to the patching mechanism and should not affect users. CI passed with new added/existing test. - vLLM version: v0.15.0 - vLLM main: vllm-project/vllm@83b47f6 Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> [BugFix] Support ALL D-Nodes in fullgraph when running MTP in PD (vllm-project#5472) **BUG** When using prefill-decode disaggregation + MTP + full graph +asynchronous scheduling, the KV cache pulled by decode nodes from prefill decodes does not include spec tokens. As a result, the total_num_scheduled_tokens obtained by decode nodes from the scheduler lacks spec tokens. When determining whether to enqueue the full graph on decode nodes, the condition for uniform_decode ` scheduler_output.total_num_scheduled_tokens == self.input_batch.num_reqs * max_query_len` is not met, leading to the current instance not being enqueued into the full graph. The above situation leads to both full graph and eagle mode instances coexisting in the decode instances. Due to the synchronization wait of MoeDispatch, the decode instances in full graph are significantly slowed down by the instance in eagle mode. **Solution** The scenario is PD separation + MTP + Full Graph + asynchronous scheduling. On the decode nodes, the spec tokens of the request with KV cache from P need be padded. Then, the padded spec tokens will be rejected by sampling. This operation ensures that the uniform_decode condition is satisfied when determining whether decode nodes are included in the full graph, thereby guaranteeing that all decode instances are present in the full graph and avoiding synchronous waiting for MoeDispatch. - vLLM version: v0.15.0 - vLLM main: vllm-project/vllm@5326c89 Signed-off-by: chenmenglong <chenmenglong1@huawei.com> [Doc][Release] Add release note skill (vllm-project#6824) This PR adds the releaseing note skills: - `SKILL.md`: vLLM Ascend Releasing Note Writer - `references/ref-past-release-notes-highlight.md`: And also add a `output/v0.13.0` examples which was used by vllm-project@2da476d Inspired: https://github.com/simon-mo/release-notes-writing/ No - vLLM version: v0.15.0 - vLLM main: vllm-project/vllm@83b47f6 Co-authored-by: esmeetu <jasonailu87@gmail.com> --------- Signed-off-by: Yikun Jiang <yikunkero@gmail.com> [Feat]support sequence parallelism by pass for VL models (vllm-project#5632) # This is the commit message vllm-project#2: [CI] Fix doc test fail when load model with error information: 'Stale file handle' (vllm-project#6832) ### What this PR does / why we need it? This PR fixes a `Stale file handle` error that occurs during doctests in the CI environment. The error appears when loading models from ModelScope, likely due to issues with network file systems used in CI. The fix involves setting the `MODELSCOPE_HUB_FILE_LOCK` environment variable to `false` in the `run_doctests.sh` script. This disables file locking in the ModelScope hub, which is a common workaround for this type of file system error. ### Does this PR introduce _any_ user-facing change? No, this change only affects the CI test execution environment and has no impact on users. ### How was this patch tested? This change is validated by the CI pipeline. A successful run of the doctests indicates that the fix is effective. Signed-off-by: leo-pony <nengjunma@outlook.com> # This is the commit message vllm-project#3: Update rotary_embedding.py Signed-off-by: ZhuJiyang1 <3048369099@qq.com>

…) (vllm-project#5977) ### What this PR does / why we need it? **Scope of Changes**: | File Path | | :--- | | `vllm_ascend/attention/attention_mask.py` | | `vllm_ascend/attention/attention_v1.py` | | `vllm_ascend/attention/context_parallel/attention_cp.py` | | `vllm_ascend/attention/context_parallel/common_cp.py` | | `vllm_ascend/attention/context_parallel/mla_cp.py` | | `vllm_ascend/attention/utils.py` | | `vllm_ascend/batch_invariant.py` | | `vllm_ascend/device/device_op.py` | | `vllm_ascend/device_allocator/camem.py` | | `vllm_ascend/envs.py` | - vLLM version: v0.13.0 - vLLM main: vllm-project/vllm@2c24bc6 --------- Signed-off-by: MrZ20 <2609716663@qq.com> Signed-off-by: zrj026 <zhangrunjiang026@gmail.com>

…) (vllm-project#5977) ### What this PR does / why we need it? **Scope of Changes**: | File Path | | :--- | | `vllm_ascend/attention/attention_mask.py` | | `vllm_ascend/attention/attention_v1.py` | | `vllm_ascend/attention/context_parallel/attention_cp.py` | | `vllm_ascend/attention/context_parallel/common_cp.py` | | `vllm_ascend/attention/context_parallel/mla_cp.py` | | `vllm_ascend/attention/utils.py` | | `vllm_ascend/batch_invariant.py` | | `vllm_ascend/device/device_op.py` | | `vllm_ascend/device_allocator/camem.py` | | `vllm_ascend/envs.py` | - vLLM version: v0.13.0 - vLLM main: vllm-project/vllm@2c24bc6 --------- Signed-off-by: MrZ20 <2609716663@qq.com>

…) (vllm-project#5977) ### What this PR does / why we need it? **Scope of Changes**: | File Path | | :--- | | `vllm_ascend/attention/attention_mask.py` | | `vllm_ascend/attention/attention_v1.py` | | `vllm_ascend/attention/context_parallel/attention_cp.py` | | `vllm_ascend/attention/context_parallel/common_cp.py` | | `vllm_ascend/attention/context_parallel/mla_cp.py` | | `vllm_ascend/attention/utils.py` | | `vllm_ascend/batch_invariant.py` | | `vllm_ascend/device/device_op.py` | | `vllm_ascend/device_allocator/camem.py` | | `vllm_ascend/envs.py` | - vLLM version: v0.13.0 - vLLM main: vllm-project/vllm@2c24bc6 --------- Signed-off-by: MrZ20 <2609716663@qq.com> Signed-off-by: zrj026 <zhangrunjiang026@gmail.com>

Revert "GLM-5 gemm weight nd to nz"

…) (vllm-project#5977) ### What this PR does / why we need it? **Scope of Changes**: | File Path | | :--- | | `vllm_ascend/attention/attention_mask.py` | | `vllm_ascend/attention/attention_v1.py` | | `vllm_ascend/attention/context_parallel/attention_cp.py` | | `vllm_ascend/attention/context_parallel/common_cp.py` | | `vllm_ascend/attention/context_parallel/mla_cp.py` | | `vllm_ascend/attention/utils.py` | | `vllm_ascend/batch_invariant.py` | | `vllm_ascend/device/device_op.py` | | `vllm_ascend/device_allocator/camem.py` | | `vllm_ascend/envs.py` | - vLLM version: v0.13.0 - vLLM main: vllm-project/vllm@2c24bc6 --------- Signed-off-by: MrZ20 <2609716663@qq.com>

wangxiyuan and others added 30 commits December 19, 2024 10:22

Initial commit

c1eb29e

Init project

d80d00b

Update register way

48a9120

Init platform class

b3e620a

Add torch compile backend

52f8a46

init attn and communicator

b4d195b

Signed-off-by: MengqingCao <cmq0113@163.com>

Some updates

68e03e8

* add requirements.txt for npu * update setup.py Signed-off-by: MengqingCao <cmq0113@163.com>

add npu worker and model_runner

c93de5c

Merge pull request #2 from cosdt/sss

8e4a606

Add npu worker and model_runner

tiny fix

67aa293

Signed-off-by: MengqingCao <cmq0113@163.com>

update install doc

0260198

Signed-off-by: MengqingCao <cmq0113@163.com>

Update interface

b7a904a

update communicator and ray-related vars

f30bd3d

Signed-off-by: MengqingCao <cmq0113@163.com>

Some fixes

79ec53f

* add block_size arg to inference script * add get_current_memory_usage to platform Signed-off-by: MengqingCao <cmq0113@163.com>

init block size

9502c4f

Fix import error

568759e

Update README.md

87c702e

add dist infer scripts & update readme

77ae657

Signed-off-by: MengqingCao <cmq0113@163.com>

add audio infer example

e06051b

Signed-off-by: MengqingCao <cmq0113@163.com>

update extras_require in setup.py

aa32a0b

Signed-off-by: MengqingCao <cmq0113@163.com>

bugfix: attention alibi bias shape is wrong

80a6a8e

Merge pull request #6 from cosdt/sss

58059da

[bugfix]: attention alibi bias shape is wrong

Cleanup

c38b702

update docs and code format

f6a44f1

Merge pull request #7 from cosdt/sss

969b7e7

[Docs] Update docs and code format

update docs and format.sh

dbbe47c

Merge pull request #8 from cosdt/sss

21bb285

[Format] Update docs and add format.sh

add Dockerfile

6c6266f

Signed-off-by: MengqingCao <cmq0113@163.com>

Update README.md

8baa637

Rename to vllm-ascend

dc63477

ylh19917567489-hue mentioned this pull request Nov 5, 2025

[Bug]: 量化后的qwen2.5-72B拉起服务报错 #4001

Open

MooYeh279 mentioned this pull request Nov 29, 2025

[Bug]: vllm-ascend 910B4 采用 ray 部署 GLM-4.6-w8a8 模型时，报错 #4579

Open

changdawei1 mentioned this pull request Dec 1, 2025

[Bug]: master分支aclgraph decode only测试qwen3 32B 3.5k输入长序列时，服务崩溃SelfAttentionOperation setup failed #4594

Closed

BruceFan08 mentioned this pull request Dec 4, 2025

[Bug]: Qwen3-VL-32B跑一半会报500错误 #4678

Closed

This was referenced Dec 11, 2025

[Bug]: v0.11.0rc0部署qwen3-vl-8b时崩溃（310P） #4074

Closed

Fix 310P issues in main #3779

Closed

Guozhong23 mentioned this pull request Dec 15, 2025

[Bug]: Qwen3-next enable mtp with 0.12.0rc1 ops-error occurred. #5043

Open

wuhang2014 pushed a commit to wuhang2014/vllm-ascend that referenced this pull request Dec 19, 2025

Merge pull request vllm-project#2 from jiangkuaixue123/yxj_connector_…

4048fb4

…aclgraph fix afd with https://github.com/jiangkuaixue123/vllm/commits/jcz_afd_…

moluzhui mentioned this pull request Jan 7, 2026

[Bug]: Ubuntu A2 DeepSeek-V3.2 SingleNode Start Error in docker container #5680

Closed

shaojun0 mentioned this pull request Jan 8, 2026

[Bug]: Ubuntu A2 DeepSeek-V3.2 SingleNode Start Error in docker container #5684

Open

dsxsteven pushed a commit to dsxsteven/vllm-ascend_dsx that referenced this pull request Jan 9, 2026

Merge pull request vllm-project#2 from 845473182/FIA_rebase

c01e0c2

Fia rebase

shilongx mentioned this pull request Jan 19, 2026

[Doc]: How to develop to Deepseek V3.2-w8a8 on A2 * 64G *8 * node2 ? #5461

Open

luluxiu520 mentioned this pull request Jan 30, 2026

[Usage]: vllm 0.14.RC1镜像800IA2双机拉起deepseek-V3.2报NPU function error: call aclnnMoeDistributeDispatchV4 failed, error code is 561000错误，回退到0.13.RC1则正常 #6398

Closed

linsheng1 added a commit to leideng/vllm-ascend that referenced this pull request Feb 11, 2026

Merge pull request vllm-project#2 from leideng/kvcomp-zjl-ldeng

c3843d9

we can get kvcomp_metadata from common_attn_metadata now

fengle-great mentioned this pull request Feb 27, 2026

[Bug]: 310P 使用quay.io/ascend/vllm-ascend:v0.14.0rc1-310p-openeuler部署qwen3-vl时报错 #6842

Closed

liuchenbing2026 pushed a commit to liuchenbing2026/vllm-ascend that referenced this pull request Mar 5, 2026

Merge pull request vllm-project#2 from yydyzr/revert-1-nd2nz

04d4a5d

Revert "GLM-5 gemm weight nd to nz"

WillCheny mentioned this pull request Mar 16, 2026

[Bug]: Qwen3.5-27B，A2单机8卡v0.17.0rc1镜像部署失败 #7310

Open

1579890249 mentioned this pull request Mar 24, 2026

[Bug]: Error occurred in the 910B3 dual-machine reasoning Qwen3.5-397B-A17B-w8a8-mtp. #7553

Open

shuyufashion mentioned this pull request Mar 26, 2026

[Bug]: qwen3_5-397b-A17B-w8a8-mtp 采用PD分离方式部署，高并发无法正常推理，导致服务卡住或崩溃 #7651

Open

JackeyGuo mentioned this pull request Mar 28, 2026

[Bug]: qwen3.5-35b-a3b启动在线服务后，跑几小时nonzero报错 #7774

Open

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[Core]Init vllm-ascend#2

[Core]Init vllm-ascend#2
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wangxiyuan commented Jan 29, 2025 •

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wangxiyuan commented Jan 29, 2025 •

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