[Main2Main] Upgrade vllm commit to 1230 (#5495)

### 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>
This commit is contained in:
wjunLu
2025-12-31 09:44:35 +08:00
committed by GitHub
parent 5d9fde9819
commit 3c2d3e52e5
6 changed files with 10 additions and 7 deletions

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@@ -110,7 +110,8 @@ jobs:
pytest -sv --durations=0 tests/e2e/singlecard/test_completion_with_prompt_embeds.py
pytest -sv --durations=0 tests/e2e/singlecard/test_aclgraph_accuracy.py
pytest -sv --durations=0 tests/e2e/singlecard/test_async_scheduling.py
pytest -sv --durations=0 tests/e2e/singlecard/test_guided_decoding.py
# xgrammar has parameter mismatching bug, please follows: https://github.com/vllm-project/vllm-ascend/issues/5524
# pytest -sv --durations=0 tests/e2e/singlecard/test_guided_decoding.py
# torch 2.8 doesn't work with lora, fix me
#pytest -sv --durations=0 tests/e2e/singlecard/test_ilama_lora.py
pytest -sv --durations=0 tests/e2e/singlecard/test_profile_execute_duration.py

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@@ -34,7 +34,7 @@ jobs:
steps:
- name: Get vLLM version
run: |
VLLM_COMMIT=45c1ca1ca1ee8fa06df263c8715e8a412ff408d4
VLLM_COMMIT=7157596103666ee7ccb7008acee8bff8a8ff1731
echo "VLLM_COMMIT=https://github.com/vllm-project/vllm/commit/$VLLM_COMMIT" >> $GITHUB_ENV
- name: Checkout repository

View File

@@ -74,7 +74,7 @@ jobs:
name: e2e-full
strategy:
matrix:
vllm_version: [45c1ca1ca1ee8fa06df263c8715e8a412ff408d4, v0.13.0]
vllm_version: [7157596103666ee7ccb7008acee8bff8a8ff1731, v0.13.0]
needs: [changes]
if: ${{ needs.changes.outputs.e2e_tracker == 'true' }}
uses: ./.github/workflows/_e2e_test.yaml

View File

@@ -42,7 +42,7 @@ jobs:
lint:
uses: ./.github/workflows/_pre_commit.yml
with:
vllm: 45c1ca1ca1ee8fa06df263c8715e8a412ff408d4
vllm: 7157596103666ee7ccb7008acee8bff8a8ff1731
changes:
runs-on: linux-aarch64-a2-0
outputs:
@@ -90,7 +90,7 @@ jobs:
SOC_VERSION: ascend910b1
strategy:
matrix:
vllm_version: [45c1ca1ca1ee8fa06df263c8715e8a412ff408d4, v0.13.0]
vllm_version: [7157596103666ee7ccb7008acee8bff8a8ff1731, v0.13.0]
steps:
- name: Free up disk space
@@ -163,7 +163,7 @@ jobs:
name: e2e-light
strategy:
matrix:
vllm_version: [45c1ca1ca1ee8fa06df263c8715e8a412ff408d4, v0.13.0]
vllm_version: [7157596103666ee7ccb7008acee8bff8a8ff1731, v0.13.0]
# Note (yikun): If CI resource are limited we can split job into two chain jobs
needs: [lint, changes]
# only trigger e2e test after lint passed and the change is e2e related with pull request.

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@@ -51,7 +51,7 @@ If you're using v0.7.3, don't forget to install [mindie-turbo](https://pypi.org/
For main branch of vLLM Ascend, we usually make it compatible with the latest vLLM release and a newer commit hash of vLLM. Please note that this table is usually updated. Please check it regularly.
| vLLM Ascend | vLLM | Python | Stable CANN | PyTorch/torch_npu |
|-------------|--------------|------------------|-------------|--------------------|
| main | 45c1ca1ca1ee8fa06df263c8715e8a412ff408d4, v0.13.0 tag | >= 3.10, < 3.12 | 8.3.RC2 | 2.8.0 / 2.8.0 |
| main | 7157596103666ee7ccb7008acee8bff8a8ff1731, v0.13.0 tag | >= 3.10, < 3.12 | 8.3.RC2 | 2.8.0 / 2.8.0 |
## Release cadence

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@@ -107,6 +107,8 @@ def _run_worker_process(
quantization="ascend" if "W8A8" in model_path else None,
enable_expert_parallel=True if "DeepSeek" in model_path else False,
trust_remote_code=True,
# vllm enables async scheduling by default, remove below when vllm >= 0.14.0
async_scheduling=False,
)
# Expose model config to the main test process