### What this PR does / why we need it?
Main2main Upgrade vllm commit to 0320 17:00
1. fix vllm refactored `_moe_forward` to call
`runner.forward_impl_chunked()` when `runner.use_dp_chunking` is True.
vllm PR:"[MoE Refactor] DefaultMoERunner simplification
[#33049](https://github.com/vllm-project/vllm/pull/33049)"
2.fix vllm moved the call to `self._set_compile_ranges()` in
`VllmConfig.__post_init__` from **before** `check_and_update_config()`
to **after** it (to allow platforms to lower `max_num_batched_tokens`
first). vllm PR: "fix(xpu): Re-compute compile ranges after
platform-specific config updates"
[#37523](https://github.com/vllm-project/vllm/pull/37523)
### Does this PR introduce _any_ user-facing change?
NA
### How was this patch tested?
NA
- vLLM version: v0.17.0
- vLLM main:
8b6325758c
---------
Signed-off-by: leo-pony <nengjunma@outlook.com>
Co-authored-by: Claude Code <noreply@anthropic.com>
### What this PR does / why we need it?
Upgrade vllm commit to 2026.03.19.
1.Fix socket removed from StatelessProcessGroup. Upstream vLLM PR
[#36330](https://github.com/vllm-project/vllm/pull/36330) ("elastic_ep:
Fix stateless group port races") refactored StatelessProcessGroup and
removed the socket: socket.socket | None field. The socket ownership was
moved to a new create_tcp_store() helper instead of being stored as a
field on the dataclass.
2.fix `virtual_engine` parameter removed from `set_forward_context().
Upstream [V0 Deprecation] Deprecate virtual engine
[#37195](https://github.com/vllm-project/vllm/pull/37195)
### Does this PR introduce _any_ user-facing change?
NA
### How was this patch tested?
NA
- vLLM version: v0.17.0
- vLLM main:
8b6325758c
---------
Signed-off-by: leo-pony <nengjunma@outlook.com>
### What this PR does / why we need it?
1. upgrade to 0.18.0
2. ensure kernel_block_sizes is int for Eagle drafter
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.17.0
- vLLM main:
8b6325758c
---------
Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
### What this PR does / why we need it?
Upgrade vllm commit to 0318.
Main content: Added a pre-operation for cleaning up and waiting(default
max 50s) for the completion of the clean up of the NPU memory to some
test cases that failed due to the failure to release the NPU memory in a
timely manner when the previous test cases were executed.
### Does this PR introduce _any_ user-facing change?
NA
### How was this patch tested?
NA
- vLLM version: v0.17.0
- vLLM main:
4497431df6
---------
Signed-off-by: leo-pony <nengjunma@outlook.com>
### What this PR does / why we need it?
1.fix "TypeError: get_attn_backend() remove variable": [Refactor
`check_and_update_config`](https://github.com/vllm-project/vllm/pull/35122)
2.fix [Rename `compile_ranges_split_points` to
`compile_ranges_endpoints`](https://github.com/vllm-project/vllm/pull/36027)
3.fix "RuntimeError: device_allocator not a DeviceAllocator":[Replace
memory related torch.cuda
APIs"](https://github.com/vllm-project/vllm/pull/37031)
4.fix [Support multiple KV groups in OffloadingSpec
](https://github.com/vllm-project/vllm/pull/36610) removed
self.offloaded_block_size and changed self.gpu_block_size from a scalar
to a tuple of per-group block sizes, adding block_size_factor.
5.fix [Consolidate
SupportsEagle](https://github.com/vllm-project/vllm/pull/36063) renamed
get_eagle3_aux_hidden_state_layers() to
get_eagle3_default_aux_hidden_state_layers() and added a
supports_eagle3() guard before calling it.
### Does this PR introduce _any_ user-facing change?
NA
### How was this patch tested?
E2E
- vLLM version: v0.17.0
- vLLM main:
8a680463fa
---------
Signed-off-by: leo-pony <nengjunma@outlook.com>
Co-authored-by: Claude Code <noreply@anthropic.com>
### What this PR does / why we need it?
Drop 0.16.0 support in main
- Fix eagle proposer break introduced by
https://github.com/vllm-project/vllm/pull/34552. Mainly change to use
the draft attention group to initialize the attention metadata builder.
- Fix the `ModelRunner` has no attribute `cudagraph_capture_sizes`
error, which is a bug in vLLM v0.17.0, and fixed by a later pr
https://github.com/vllm-project/vllm/pull/30515
- vLLM version: v0.16.0
- vLLM main:
4034c3d32e
---------
Signed-off-by: MengqingCao <cmq0113@163.com>
### What this PR does / why we need it?
[CI] Upgrade CANN to 8.5.1
### Does this PR introduce _any_ user-facing change?
N/A
### How was this patch tested?
CI passed with existing test.
- vLLM version: v0.16.0
- vLLM main:
15d76f74e2
Signed-off-by: wxsIcey <1790571317@qq.com>
### What this PR does / why we need it?
Revert speedup image building and CI Installation related PRs
git revert 8835236181
git revert 64fba51275
git revert 263c2f8e8d
git revert 84b00695f8
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.16.0
- vLLM main:
15d76f74e2
---------
Signed-off-by: wjunLu <wjunlu217@gmail.com>
### What this PR does / why we need it?
1. Refactor image workflow using cache-from to speedup builds
Simultaneously refactored all Dockerfiles by placing layers that rarely
change before those that change frequently, improving build cache hit
rate.
2. Refactor E2E test using vllm-ascend container images, to skip C
compile while no C code are changed
In this case, the job will only replace the source code of vllm-ascend
and install `requirements-dev.txt`, saving about 10min before tests
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.15.0
- vLLM main:
9562912cea
Signed-off-by: wjunLu <wjunlu217@gmail.com>
### What this PR does / why we need it?
upgrade vllm commit to `9562912cead1f11e8540fb91306c5cbda66f0007`
### Does this PR introduce _any_ user-facing change?
N/A
### How was this patch tested?
all tests passed
- vLLM version: v0.15.0
- vLLM main:
13397841ab
---------
Signed-off-by: wxsIcey <1790571317@qq.com>
### What this PR does / why we need it?
This PR upgrades the core vLLM dependency to a newer version from the
main branch (`13397841ab469cecf1ed425c3f52a9ffc38139b5`). This is
necessary to keep our project up-to-date with the latest features and
fixes from upstream vLLM.
1.
ac32e66cf9
pass file is moved.
- vLLM version: v0.15.0
- vLLM main:
d7e17aaacd
---------
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Signed-off-by: wxsIcey <1790571317@qq.com>
Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
Co-authored-by: wxsIcey <1790571317@qq.com>
### What this PR does / why we need it?
- This PR removes several self-hosted runner labels from the
`actionlint.yaml` configuration file. These runners are likely no longer
in use, so this change cleans up the configuration and ensures
`actionlint` has an accurate list of available runners.
- Move all Action dockerfiles to one folder
- remove useless `runner` input for e2e test.
- update workflow option version
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
This is a configuration change for the CI linter. The correctness will
be verified by `actionlint` running in CI on subsequent pull requests.
- vLLM version: v0.15.0
- vLLM main:
d7e17aaacd
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
This PR updates the CI runner from `linux-aarch64-a2-*` to
`linux-aarch64-a2b3-*` in various test configuration files. This change
is necessary to adapt to updates in the CI infrastructure.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
The changes are configuration updates for CI tests. The correctness will
be verified by the CI pipeline.
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
### What this PR does / why we need it?
This PR upgrades the vLLM dependency from `v0.14.1` to `v0.15.0`. This
involves:
- Updating the `VLLM_TAG` in all `Dockerfile`.
- Updating the vLLM version in `docs/source/conf.py`.
- Removing conditional code paths specific to `v0.14.1` across the
codebase, which simplifies maintenance.
- Fix `TypeError: MMEncoderAttention.__init__() got an unexpected
keyword argument 'multimodal_config'` due to
https://github.com/vllm-project/vllm/pull/31972.
- Fix `_shared_experts: 'NoneType' object is not callable` due to
https://github.com/vllm-project/vllm/pull/32082 by
https://github.com/vllm-project/vllm-ascend/pull/6335.
- Fix `ReshapeAndCacheOperation setup failed!` due to
https://github.com/vllm-project/vllm/pull/25954 by overriding attention
metadata slots.
This upgrade is necessary to keep the project aligned with the latest
features, bug fixes, and API changes in the vLLM project.
### Does this PR introduce _any_ user-facing change?
No, this is an internal dependency update and does not introduce any
user-facing changes.
### How was this patch tested?
CI is expected to pass with these changes, ensuring that all existing
tests are successful with the new vLLM version.
- vLLM version: v0.14.1
- vLLM main:
dc917cceb8
co-authored-by: shen-shanshan <467638484@qq.com>
---------
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
This patch add auto-partition feat for tests, for example, before this
pr, we are running e2e single card test for 2h40min, after the auto
partition, test case is automatically allocated into the required n
parts based on its test duration (greedy strategy) and run in parallel.
The advantage of doing this is that our overall test duration will
become 1/n of the original.
### Does this PR introduce _any_ user-facing change?
Before:
e2e single card test spend 2h40min
After:
e2e single card test spend 1h13min
### How was this patch tested?
```shell
python .github/workflows/scripts/run_suite.py --auto-partition-size 2 --auto-partition-id 0
args=Namespace(timeout_per_file=2000, suite='e2e-singlecard', auto_partition_id=0, auto_partition_size=2, continue_on_error=False, enable_retry=False, max_attempts=2, retry_wait_seconds=60, retry_timeout_increase=600)
+----------------+--------------------+
| Suite | Partition |
|----------------+--------------------|
| e2e-singlecard | 1/2 (0-based id=0) |
+----------------+--------------------+
✅ Enabled 13 test(s) (est total 4020.0s):
- tests/e2e/singlecard/spec_decode/test_v1_spec_decode.py (est_time=1800)
- tests/e2e/singlecard/test_aclgraph_accuracy.py (est_time=480)
- tests/e2e/singlecard/test_guided_decoding.py (est_time=354)
- tests/e2e/singlecard/test_batch_invariant.py (est_time=320)
- tests/e2e/singlecard/pooling/test_embedding.py (est_time=270)
- tests/e2e/singlecard/test_quantization.py (est_time=200)
- tests/e2e/singlecard/test_llama32_lora.py (est_time=162)
- tests/e2e/singlecard/test_cpu_offloading.py (est_time=132)
- tests/e2e/singlecard/pooling/test_classification.py (est_time=120)
- tests/e2e/singlecard/test_camem.py (est_time=77)
- tests/e2e/singlecard/compile/test_norm_quant_fusion.py (est_time=70)
- tests/e2e/singlecard/test_auto_fit_max_mode_len.py (est_time=25)
- tests/e2e/singlecard/test_profile_execute_duration.py (est_time=10)
(base) wangli@Mac-mini vllm-ascend % python .github/workflows/scripts/run_suite.py --auto-partition-size 2 --auto-partition-id 1
args=Namespace(timeout_per_file=2000, suite='e2e-singlecard', auto_partition_id=1, auto_partition_size=2, continue_on_error=False, enable_retry=False, max_attempts=2, retry_wait_seconds=60, retry_timeout_increase=600)
+----------------+--------------------+
| Suite | Partition |
|----------------+--------------------|
| e2e-singlecard | 2/2 (0-based id=1) |
+----------------+--------------------+
✅ Enabled 13 test(s) (est total 4025.0s):
- tests/e2e/singlecard/spec_decode/test_mtp_eagle_correctness.py (est_time=1500)
- tests/e2e/singlecard/pooling/test_scoring.py (est_time=500)
- tests/e2e/singlecard/test_aclgraph_batch_invariant.py (est_time=410)
- tests/e2e/singlecard/test_vlm.py (est_time=354)
- tests/e2e/singlecard/test_models.py (est_time=300)
- tests/e2e/singlecard/test_multistream_overlap_shared_expert.py (est_time=200)
- tests/e2e/singlecard/test_sampler.py (est_time=200)
- tests/e2e/singlecard/test_async_scheduling.py (est_time=150)
- tests/e2e/singlecard/test_aclgraph_mem.py (est_time=130)
- tests/e2e/singlecard/test_ilama_lora.py (est_time=95)
- tests/e2e/singlecard/test_completion_with_prompt_embeds.py (est_time=76)
- tests/e2e/singlecard/test_qwen3_multi_loras.py (est_time=65)
- tests/e2e/singlecard/test_xlite.py (est_time=45)
```
- vLLM version: v0.14.1
- vLLM main:
dc917cceb8
---------
Signed-off-by: wangli <wangli858794774@gmail.com>
### What this PR does / why we need it?
Drop vLLM 0.13.0 support, upgrade to 0.14.0
- vLLM version: v0.13.0
- vLLM main:
d68209402d
---------
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
### What this PR does / why we need it?
Upgrade vllm commit to releases/v0.14.0
- vLLM version: v0.13.0
- vLLM main:
2c24bc6996
Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
### What this PR does / why we need it?
Upgrade vllm commit to releases/v0.14.0
- Re-open cases in `tests/e2e/singlecard/pooling/test_scoring.py`, since
the errors before have been fixed by
https://github.com/vllm-project/vllm/pull/32243
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.13.0
- vLLM main:
11b6af5280
Signed-off-by: wjunLu <wjunlu217@gmail.com>
This PR add 310 e2e test back to ensure the related PR will be tested on
310.
1. for light e2e, we'll run 310p test if the changed files are located
in `vllm_ascend/_310p`
2. for full e2e, we'll always run 310p test
3. for main2main test, we'll stop run 310p test
- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Add `releases` match case for CI jobs and update related doc for v0.13.0
branch
- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
Upgrade vllm commit to 0106
- vLLM version: v0.13.0
- vLLM main:
8be6432bda
Signed-off-by: wjunLu <wjunlu217@gmail.com>
### What this PR does / why we need it?
Upgrade vllm commit to 1230
Affected by https://github.com/vllm-project/vllm/pull/27614 (and the
core PR https://github.com/vllm-project/vllm/pull/26866), we have to
make the following changes:
1. Modify `tests/e2e/multicard/test_aclgraph_capture_replay.py` to keep
compatible with both vllm version of `v0.13.0` and latest main commitID,
while vllm enables async scheduling by default
2. Skip `test_guided_decoding.py` due to xgrammar errors
(https://github.com/vllm-project/vllm-ascend/issues/5524)
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.13.0
- vLLM main:
45c1ca1ca1
---------
Signed-off-by: wjunLu <wjunlu217@gmail.com>
### What this PR does / why we need it?
- Fixes vllm break:
1. [[BugFix] register quant scale tensors as buffer #31395]
(https://github.com/vllm-project/vllm/pull/31395)
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.13.0
- vLLM main:
5326c89803
---------
Signed-off-by: leo-pony <nengjunma@outlook.com>
### What this PR does / why we need it?
Update vllm pin to 12.26
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: release/v0.13.0
- vLLM main:
81786c8774
---------
Signed-off-by: ZT-AIA <1028681969@qq.com>
Signed-off-by: Mengqing Cao <cmq0113@163.com>
Signed-off-by: ZT-AIA <63220130+ZT-AIA@users.noreply.github.com>
Co-authored-by: Mengqing Cao <cmq0113@163.com>
### What this PR does / why we need it?
- Fix vllm break in the pr:
1.[Drop v0.14 deprecations
]https://github.com/vllm-project/vllm/pull/31285
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
- vLLM version: release/v0.13.0
- vLLM main:
bc0a5a0c08
---------
Signed-off-by: ZT-AIA <1028681969@qq.com>
### What this PR does / why we need it?
### Does this PR introduce _any_ user-facing change?
Fix vllm break:
1. [Enable cuda graph for deepepHT, 5.3% throughput improvement, 4.4%
TTFT improvement] (https://github.com/vllm-project/vllm/pull/29558)
Fix Solution: Add the now-necessary `all2all_backend` parameter. The
impact of this parameter on the original `set_splitting_ops_for_v1`
implementation is only that graph mode is disabled in `vllm` if
`deepep_high_throughput` is enabled; it has no effect on the
`vllm-ascend` logic.
2.[Migrate legacy ViT MultiHeadAttention to new MMEncoderAttention
interface ] (https://github.com/vllm-project/vllm/pull/30684)
Fix Solution: The reason why the GPU does not need to convert qkv to 3D
is that the GPU's flash_attention operator is compatible with 3D and 4D
(b s h d and s b ( h d)), but the NPU's flash_attention_unpad operator
only supports 3D (s b ( h d)). Therefore, we need to introduce the
reshape_qkv_to_3d operation.
4.Skip Tencent-Hunyuan/HunyuanOCR test case, as it has following issue
in upgrade vllm code:
https://github.com/vllm-project/vllm-ascend/issues/5297
### How was this patch tested?
Co-authored-by: zxwang <1476209578@qq.com>
- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c
---------
Signed-off-by: leo-pony <nengjunma@outlook.com>
Signed-off-by: zxwang <1476209578@qq.com>
Co-authored-by: zxwang <1476209578@qq.com>
We decided to release v0.13.0 soon. So no need to support 0.12.0 now.
Let's drop it.
- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
Upstream vLLM PR #30212https://github.com/vllm-project/vllm/pull/30212
refactored the attention backend selection interface, This PR adapts
vllm-ascend's get_attn_backend_cls to align with the new upstream
standard, ensuring compatibility and reducing maintenance overhead.
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
co-author:[leo-pony][nengjunma@outlook.com](mailto:nengjunma@outlook.com)
- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c
---------
Signed-off-by: zxwang <1476209578@qq.com>
Signed-off-by: leo-pony <nengjunma@outlook.com>
Co-authored-by: leo-pony <nengjunma@outlook.com>
### What this PR does / why we need it?
Upgrade vllm commit hash to `4429d934de3c5cc327b0d7aec8e473aeba38db90`
- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c
---------
Signed-off-by: wangli <wangli858794774@gmail.com>
