[core] Support capture custom ops into aclgraph #2113

ganyi1996ppo · 2025-07-30T09:29:42Z

What this PR does / why we need it?

Thanks to the PR #426 make vllm-ascend support the aclgraph inference to reduce the host overhead. However, the capability of aclgraph strongly relies on the functionality provided by torch.compile, which is the key feature supported in torch 2.x . Therefore, capture custom op into aclgraph is only possible when it can be recognize and captured by torch.compile.

In this PR, we register the meta implementation of current custom ops to enable the fx graph capture. And by doing that, insert those custom ops into aclgraph become a natural thing to the ascend runtime.

Does this PR introduce any user-facing change?

No user face change.

How was this patch tested?

Tested in unittest, we will integrate the rotary_embedding op into a small custom model and use torch.compile and aclgraph to capture and replay it to verify its functionality.

vLLM version: v0.10.0
vLLM main: vllm-project/vllm@1b99028

github-actions · 2025-07-30T10:14:06Z

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ganyi1996ppo · 2025-07-30T10:35:24Z

@ttanzhiqiang Please review this PR also

ganyi1996ppo · 2025-07-30T10:36:24Z

@yiz-liu Please review this PR also

codecov · 2025-07-30T11:00:15Z

Codecov Report

❌ Patch coverage is 51.85185% with 13 lines in your changes missing coverage. Please review.
✅ Project coverage is 76.04%. Comparing base (0bd5ff5) to head (951506e).

Files with missing lines	Patch %	Lines
vllm_ascend/meta_registration.py	50.00%	13 Missing ⚠️

❌ Your patch check has failed because the patch coverage (51.85%) is below the target coverage (100.00%). You can increase the patch coverage or adjust the target coverage.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2113      +/-   ##
==========================================
- Coverage   76.09%   76.04%   -0.05%     
==========================================
  Files         114      115       +1     
  Lines       13103    13130      +27     
==========================================
+ Hits         9971     9985      +14     
- Misses       3132     3145      +13

Flag	Coverage Δ
unittests	`76.04% <51.85%> (-0.05%)`	⬇️

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ttanzhiqiang · 2025-07-30T11:09:33Z

tests/e2e/singlecard/ops/test_rotary_embedding.py

+
+    with torch.npu.graph(aclgraph):
+        # Capture the model in aclgraph.
+        static_output = compiled_model(static_positions, static_hidden_states)


This place is a static shape. If the shape of static_positions, static_hidden_states has changed, does meta need to go through again?

ttanzhiqiang · 2025-07-30T11:11:07Z

Can custom ops be specially written to handle the problem of aclgraph without adding an operator to a meta at a time

ganyi1996ppo · 2025-07-31T01:52:17Z

Can custom ops be specially written to handle the problem of aclgraph without adding an operator to a meta at a time

No for now. We can try to write a macro or template to automatically generate the meta implementation, but no plan for this yet. We can consider this after we have enough number of custom ops.

wangxiyuan · 2025-08-06T03:38:58Z

LGTM, Please make the CI happy, I think we should merge this in high priority

ganyi1996ppo · 2025-08-06T03:52:50Z

LGTM, Please make the CI happy, I think we should merge this in high priority

The aclgraph path seems have unaligned accuracy compared with eager path on CI, I can't reproduce it on my local environment.

MengqingCao · 2025-08-06T07:42:14Z

It seems the first failed case is acc test case due to the model download issue. I think you can rebase your code, as acc test will not run per pr now.

ganyi1996ppo · 2025-08-06T07:47:12Z

It seems the first failed case is acc test case due to the model download issue. I think you can rebase your code, as acc test will not run per pr now.

Got, I'll give it a try

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

* enable mm allreduce test (vllm-project#2192) ### What this PR does / why we need it? This PR is to add e2e test for using npu_mm_all_reduce_base fusion kernel. ### Does this PR introduce _any_ user-facing change? no ### How was this patch tested? not involved - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@5d5d419 Signed-off-by: Ronald1995 <ronaldautomobile@163.com> * [main] remove torch.cat and replace it by List[0] (vllm-project#2153) ### What this PR does / why we need it? torch_npu.npu_grouped_matmul: https://www.hiascend.com/document/detail/zh/Pytorch/710/apiref/torchnpuCustomsapi/context/torch_npu-npu_grouped_matmul.md According to the document, when `split_item` is 2 or 3, `torch_npu.npu_grouped_matmul` will return a list which has one element. Therefore, the `torch.cat` after `torch_npu.npu_grouped_matmul` is unnecessary. ### Does this PR introduce _any_ user-facing change? not involved ### How was this patch tested? ut and e2e covered: `tests/ut/ops/test_fused_ops.py`, `tests/e2e/singlecard/ops/test_fused_moe.py` **performance**: (qwen3 30B, 2k->20k) base: Total Token throughput (tok/s): 667.76 remove cat: Total Token throughput (tok/s): 680.82 - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@fa00c5d Signed-off-by: huangxialu <huangxialu1@huawei.com> * [CI][Quickfix] Fix AscendFusedMoE init error (vllm-project#2268) ### What this PR does / why we need it? Fix AscendFusedMoE init error. Use `super().__init__()` instead of `super(FusedMoE, self).__init__()` to ensure the member variables in base class could be called by the children class ### Does this PR introduce _any_ user-facing change? N/A ### How was this patch tested? CI passed with new existing test. - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@766bc81 --------- Signed-off-by: MengqingCao <cmq0113@163.com> * Fix accuracy test config and add DeepSeek-V2-Lite test (vllm-project#2261) ### What this PR does / why we need it? This PR fix accuracy test related to vllm-project#2073, users can now perform accuracy tests on multiple models simultaneously and generate different report files by running: ```bash cd ~/vllm-ascend pytest -sv ./tests/e2e/models/test_lm_eval_correctness.py \ --config-list-file ./tests/e2e/models/configs/accuracy.txt ``` ### Does this PR introduce _any_ user-facing change? no ### How was this patch tested? <img width="1648" height="511" alt="image" src="https://github.com/user-attachments/assets/1757e3b8-a6b7-44e5-b701-80940dc756cd" /> - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@766bc81 --------- Signed-off-by: Icey <1790571317@qq.com> * Fix accuracy test create PR (vllm-project#2274) ### What this PR does / why we need it? Fix create PR of accuracy test ### Does this PR introduce _any_ user-facing change? no ### How was this patch tested? Local testing: nv-action/vllm-benchmarks#87 - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@099c046 --------- Signed-off-by: Icey <1790571317@qq.com> * Add ut for test_communicator.py (vllm-project#2293) ### What this PR does / why we need it? Add ut for test_communicator.py - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@e5ebeeb Signed-off-by: yangqinghao-cmss <yangqinghao_yewu@cmss.chinamobile.com> * [CI] Fix broken CI (vllm-project#2302) 1. disable test_eagle_ccorrectness test, we'll reopen it once oom error fixed. 2. drop transformers version limit for main, since vLLM rely on >=4.55.0, see: vllm-project/vllm@65552b4 3. fix kv_connector_output bug, see: vllm-project/vllm@796bae0 - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@d1af8b7 Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> * [2/N][Refactor] torchair model runner refactor (vllm-project#2204) There is lot of torchair code in model runner leading the code hard for maintenance. We'll create new torchair_model_runner to split torchair related logic. Following the workflow vllm-project#2203 What's this PR do: move `torchair` related logic into `_get_forward_metadata_across_dp` and override it in torchair model runner - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@1b99028 Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> * [core] Support capture custom ops into aclgraph (vllm-project#2113) ### What this PR does / why we need it? Thanks to the PR vllm-project#426 make vllm-ascend support the aclgraph inference to reduce the host overhead. However, the capability of aclgraph strongly relies on the functionality provided by `torch.compile`, which is the key feature supported in torch 2.x . Therefore, capture custom op into aclgraph is only possible when it can be recognize and captured by `torch.compile`. In this PR, we register the meta implementation of current custom ops to enable the fx graph capture. And by doing that, insert those custom ops into aclgraph become a natural thing to the ascend runtime. ### Does this PR introduce _any_ user-facing change? No user face change. ### How was this patch tested? Tested in unittest, we will integrate the `rotary_embedding` op into a small custom model and use `torch.compile` and aclgraph to capture and replay it to verify its functionality. - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@1b99028 --------- Signed-off-by: ganyi <pleaplusone.gy@gmail.com> * Bump actions/download-artifact from 4 to 5 (vllm-project#2311) Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 4 to 5. - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@ebf7605 Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * [Perf][MTP] Optimize reject sampler in greedy situation. (vllm-project#2137) This PR port optimization in PR vllm-project#2002 to main and makes it cleaner. - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@afa5b7c --------- Signed-off-by: whx-sjtu <2952154980@qq.com> * [3/N][Refactor] torchair model runner refactor (vllm-project#2207) There is lot of torchair code in model runner leading the code hard for maintenance. We'll create new torchair_model_runner to split torchair related logic. Following the workflow vllm-project#2203, this is the first PR. What's this PR do: create common function `_build_attention_metadata` and `_generate_dummy_run_hidden_states` for dummy_run - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@ebf7605 Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> * [Feat] chunkprefill mla support torchair graph (vllm-project#1772) chunkprefill mla only support eager mode now，we want to optimaze it by support torchair graph, the idea is simple, when all the request is running in decode, use torchair graph to deal with it, else when chunkprefill or prefill only, use the eager mode - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@ebf7605 Signed-off-by: haojiangzheng <justineric096@gmail.com> Co-authored-by: haojiangzheng <justineric096@gmail.com> * [4/N][Refactor] torchair model runner refactor (vllm-project#2208) There is lot of torchair code in model runner leading the code hard for maintenance. We'll create new torchair_model_runner to split torchair related logic. Following the workflow vllm-project#2203, this is the first PR. What's this PR do: create common function `_convert_torch_foramt` for initialize_kv_cache - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@14a5d90 Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> * Configure Gemini (vllm-project#2298) ### What this PR does / why we need it? This PR requests Gemini AI to review PRs. ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? NA - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@14a5d90 Signed-off-by: QwertyJack <7554089+QwertyJack@users.noreply.github.com> * ut: add ci guard for ut coverage (vllm-project#2317) ### What this PR does / why we need it? add ci guard for ut coverage, if ut coverage of patch pr is below 80%, the ci will failed/ ### Does this PR introduce _any_ user-facing change? not involved ### How was this patch tested? not involved - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@458e74e --------- Signed-off-by: Ronald1995 <ronaldautomobile@163.com> * [main][prefill optimization] Optimize parallel strategies to reduce communication overhead (vllm-project#2198) ### What this PR does / why we need it? 1.Shared Expert Sharding Strategy Update: Switched from TP-aligned to pure DP for shared experts, enabling more efficient execution. 2.O_Proj AllReduce → ReduceScatter: Reduced communication overhead by using ReduceScatter, made possible by pure DP sharding. 3.AllGather Postponed: Delayed to after QKV down projection to reduce synchronization impact during prefill. ### How was this patch tested? Adding ut case in `tests/ut/attention/test_mla_v1.py` #### How to run use parameter `--additional_config='{"enable_shared_expert_dp": true}'` ##### a.How to run eager mode eg: python -m vllm.entrypoints.openai.api_server --model=/model_path --trust-remote-code -tp 8 -dp 2 --enable_expert_parallel --port 8002 --max-model-len 5120 --max-num-batched-tokens 16384 --enforce-eager --disable-log-requests --additional_config='{"ascend_scheduler_config":{"enabled":true},"enable_shared_expert_dp": true,"chunked_prefill_for_mla":true}' ##### b.How to run graph mode eg: python -m vllm.entrypoints.openai.api_server --model=/model_path --trust-remote-code -tp 8 -dp 2 --enable_expert_parallel --port 8002 --max-model-len 5120 --max-num-batched-tokens 16384 --disable-log-requests --additional_config='{"ascend_scheduler_config":{"enabled":true},"enable_shared_expert_dp": true,"chunked_prefill_for_mla":true,"torchair_graph_config":{"enabled":true}}' - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@9edd1db --------- Signed-off-by: Wang Kunpeng <1289706727@qq.com> Signed-off-by: SlightwindSec <slightwindsec@gmail.com> Co-authored-by: SlightwindSec <slightwindsec@gmail.com> * [Doc] Update faq (vllm-project#2334) ### What this PR does / why we need it? - update determinitic calculation - update support device ### Does this PR introduce _any_ user-facing change? - Users should update ray and protobuf when using ray as distributed backend - Users should change to use `export HCCL_DETERMINISTIC=true` when enabling determinitic calculation ### How was this patch tested? N/A - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@ea1292a Signed-off-by: MengqingCao <cmq0113@163.com> * [5/N][Refactor] torchair model runner refactor (vllm-project#2216) There is lot of torchair code in model runner leading the code hard for maintenance. We'll create new torchair_model_runner to split torchair related logic. Following the workflow vllm-project#2203 What's this PR do: create common function `_capture_model` for capture_model - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@1891a26 Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> * [1/N][Feat] Support MoE models with ACL Graph and refactor MoE communication logic (vllm-project#2125) ### What this PR does / why we need it? This PR refactors the MoE (Mixture of Experts) communication logic by introducing a strategy pattern. It defines an abstract base class, `MoECommMethod`, which encapsulates different communication strategies for MoE layers. By decoupling the MoE implementation from any single communication method, this change makes it simpler to add, replace, or optimize communication strategies in the future. Plan / Roadmap 1. Introduce `MoECommMethod`, implement `AllGatherImpl`, and adapt ACL Graph handling to cover all scenarios (this PR). 2. Implement `MC2CommImpl` and `AllToAllCommImpl` to optimize performance in specific scenarios. 3. Enable W8A8 / Int8 models to use `unified_fused_experts`. Other notes * Data-parallel (DP) communication currently does not work with vLLM's dispatch/combine mechanisms; an alternative approach is required to resolve this incompatibility. - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@f7ad6a1 --------- Signed-off-by: Yizhou Liu <liu_yizhou@outlook.com> * [Doc] Add container image save/load FAQ for offline environments (vllm-project#2347) ### What this PR does / why we need it? Add Docker export/import guide for air-gapped environments ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? NA - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@d16aa3d Signed-off-by: QwertyJack <7554089+QwertyJack@users.noreply.github.com> * [Bugfix] fix the oom when chunkprefill with long context like 64k (vllm-project#2319) The attn mask was declared in the mla.py，we don't need the splitfuse mask when mla chunkprefill, and this mask will cause memory problem when long context like 64k or 128k - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@14a5d90 --------- Signed-off-by: haojiangzheng <justineric096@gmail.com> --------- Signed-off-by: Ronald1995 <ronaldautomobile@163.com> Signed-off-by: huangxialu <huangxialu1@huawei.com> Signed-off-by: MengqingCao <cmq0113@163.com> Signed-off-by: Icey <1790571317@qq.com> Signed-off-by: yangqinghao-cmss <yangqinghao_yewu@cmss.chinamobile.com> Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> Signed-off-by: ganyi <pleaplusone.gy@gmail.com> Signed-off-by: dependabot[bot] <support@github.com> Signed-off-by: whx-sjtu <2952154980@qq.com> Signed-off-by: haojiangzheng <justineric096@gmail.com> Signed-off-by: QwertyJack <7554089+QwertyJack@users.noreply.github.com> Signed-off-by: Wang Kunpeng <1289706727@qq.com> Signed-off-by: SlightwindSec <slightwindsec@gmail.com> Signed-off-by: Yizhou Liu <liu_yizhou@outlook.com> Co-authored-by: Ronald1995 <ronaldautomobile@163.com> Co-authored-by: huangxialu <huangxialu1@huawei.com> Co-authored-by: Mengqing Cao <cmq0113@163.com> Co-authored-by: Icey <1790571317@qq.com> Co-authored-by: yangqinghao-cmss <yangqinghao_yewu@cmss.chinamobile.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: Pleaplusone <pleaplusone.gy@gmail.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: whx <56632993+whx-sjtu@users.noreply.github.com> Co-authored-by: zhenghaojiang <zhjoneson@163.com> Co-authored-by: haojiangzheng <justineric096@gmail.com> Co-authored-by: jack <QwertyJack@users.noreply.github.com> Co-authored-by: Wang Kunpeng <1289706727@qq.com> Co-authored-by: SlightwindSec <slightwindsec@gmail.com> Co-authored-by: yiz-liu <136800916+yiz-liu@users.noreply.github.com>

### What this PR does / why we need it? Thanks to the PR vllm-project#426 make vllm-ascend support the aclgraph inference to reduce the host overhead. However, the capability of aclgraph strongly relies on the functionality provided by `torch.compile`, which is the key feature supported in torch 2.x . Therefore, capture custom op into aclgraph is only possible when it can be recognize and captured by `torch.compile`. In this PR, we register the meta implementation of current custom ops to enable the fx graph capture. And by doing that, insert those custom ops into aclgraph become a natural thing to the ascend runtime. ### Does this PR introduce _any_ user-facing change? No user face change. ### How was this patch tested? Tested in unittest, we will integrate the `rotary_embedding` op into a small custom model and use `torch.compile` and aclgraph to capture and replay it to verify its functionality. - vLLM version: v0.10.0 - vLLM main: vllm-project/vllm@1b99028 --------- Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

ganyi1996ppo mentioned this pull request Jul 30, 2025

[Bug]: vllm v1 graph mode report errot NotImplementedError: _C::rotary_embedding #1895

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ganyi1996ppo requested review from Yikun and wangxiyuan July 30, 2025 10:32

ganyi1996ppo marked this pull request as ready for review July 30, 2025 10:32

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ganyi1996ppo force-pushed the ganyi/meta_registration branch from cf0022c to 6e40e45 Compare August 5, 2025 02:48

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ganyi1996ppo force-pushed the ganyi/meta_registration branch from e44c707 to adeb6d0 Compare August 6, 2025 07:49

wangxiyuan mentioned this pull request Aug 6, 2025

[Release]: Release checklist for v0.10.0rc1 #2210

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ganyi1996ppo force-pushed the ganyi/meta_registration branch 4 times, most recently from 21527d1 to 951506e Compare August 8, 2025 04:36

Yikun added accuracy-test enable all accuracy test for PR ready-for-test start test by label for PR labels Aug 8, 2025

ganyi1996ppo force-pushed the ganyi/meta_registration branch from 951506e to 45192dd Compare August 10, 2025 23:06

ganyi1996ppo added 3 commits August 11, 2025 11:23

register the meta dispatch path for custom kernels

b017650

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

move the get_dtype_from_torch to the cpp file prevent redefination

753b3a9

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

remove numel operation to support symbolic tracing

475db0d

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

ganyi1996ppo added 13 commits August 11, 2025 11:23

enable meta device registration, and enable the simple model for rope

6cc2548

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

add unittes

06f47e9

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

fix format issue

0b4899b

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

fix the unittest

cb45377

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

add python level meta registration method

fb85e0d

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

add comments for the meta device registration

3eaae42

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

fix lint

c2f231c

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

makes isort ignore the meta registration's import sequence

f14bc35

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

fix the aclgraph ci issue

e5af114

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

remove lint to enable ut

f5a07be

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

restore ci

7c9a5ed

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

add a warmup aclgraph run for ci

3bee673

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

fix lint:

b4ee77e

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>

ganyi1996ppo force-pushed the ganyi/meta_registration branch from 45192dd to b4ee77e Compare August 11, 2025 03:23

wangxiyuan approved these changes Aug 11, 2025

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wangxiyuan merged commit c0f0b70 into vllm-project:main Aug 11, 2025
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[core] Support capture custom ops into aclgraph #2113

[core] Support capture custom ops into aclgraph #2113

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codecov bot commented Jul 30, 2025 •

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ganyi1996ppo Jul 31, 2025 •

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MengqingCao commented Aug 6, 2025 •

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