[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:
3
.github/workflows/_e2e_test.yaml
vendored
3
.github/workflows/_e2e_test.yaml
vendored
@@ -110,7 +110,8 @@ jobs:
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pytest -sv --durations=0 tests/e2e/singlecard/test_completion_with_prompt_embeds.py
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pytest -sv --durations=0 tests/e2e/singlecard/test_aclgraph_accuracy.py
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pytest -sv --durations=0 tests/e2e/singlecard/test_async_scheduling.py
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pytest -sv --durations=0 tests/e2e/singlecard/test_guided_decoding.py
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# xgrammar has parameter mismatching bug, please follows: https://github.com/vllm-project/vllm-ascend/issues/5524
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# pytest -sv --durations=0 tests/e2e/singlecard/test_guided_decoding.py
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# torch 2.8 doesn't work with lora, fix me
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#pytest -sv --durations=0 tests/e2e/singlecard/test_ilama_lora.py
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pytest -sv --durations=0 tests/e2e/singlecard/test_profile_execute_duration.py
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2
.github/workflows/bot_pr_create.yaml
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2
.github/workflows/bot_pr_create.yaml
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@@ -34,7 +34,7 @@ jobs:
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steps:
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- name: Get vLLM version
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run: |
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VLLM_COMMIT=45c1ca1ca1ee8fa06df263c8715e8a412ff408d4
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VLLM_COMMIT=7157596103666ee7ccb7008acee8bff8a8ff1731
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echo "VLLM_COMMIT=https://github.com/vllm-project/vllm/commit/$VLLM_COMMIT" >> $GITHUB_ENV
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- name: Checkout repository
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2
.github/workflows/pr_test_full.yaml
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2
.github/workflows/pr_test_full.yaml
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@@ -74,7 +74,7 @@ jobs:
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name: e2e-full
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strategy:
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matrix:
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vllm_version: [45c1ca1ca1ee8fa06df263c8715e8a412ff408d4, v0.13.0]
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vllm_version: [7157596103666ee7ccb7008acee8bff8a8ff1731, v0.13.0]
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needs: [changes]
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if: ${{ needs.changes.outputs.e2e_tracker == 'true' }}
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uses: ./.github/workflows/_e2e_test.yaml
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6
.github/workflows/pr_test_light.yaml
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6
.github/workflows/pr_test_light.yaml
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@@ -42,7 +42,7 @@ jobs:
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lint:
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uses: ./.github/workflows/_pre_commit.yml
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with:
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vllm: 45c1ca1ca1ee8fa06df263c8715e8a412ff408d4
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vllm: 7157596103666ee7ccb7008acee8bff8a8ff1731
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changes:
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runs-on: linux-aarch64-a2-0
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outputs:
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@@ -90,7 +90,7 @@ jobs:
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SOC_VERSION: ascend910b1
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strategy:
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matrix:
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vllm_version: [45c1ca1ca1ee8fa06df263c8715e8a412ff408d4, v0.13.0]
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vllm_version: [7157596103666ee7ccb7008acee8bff8a8ff1731, v0.13.0]
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steps:
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- name: Free up disk space
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@@ -163,7 +163,7 @@ jobs:
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name: e2e-light
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strategy:
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matrix:
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vllm_version: [45c1ca1ca1ee8fa06df263c8715e8a412ff408d4, v0.13.0]
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vllm_version: [7157596103666ee7ccb7008acee8bff8a8ff1731, v0.13.0]
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# Note (yikun): If CI resource are limited we can split job into two chain jobs
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needs: [lint, changes]
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# 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/
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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.
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| vLLM Ascend | vLLM | Python | Stable CANN | PyTorch/torch_npu |
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|-------------|--------------|------------------|-------------|--------------------|
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| main | 45c1ca1ca1ee8fa06df263c8715e8a412ff408d4, v0.13.0 tag | >= 3.10, < 3.12 | 8.3.RC2 | 2.8.0 / 2.8.0 |
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| main | 7157596103666ee7ccb7008acee8bff8a8ff1731, v0.13.0 tag | >= 3.10, < 3.12 | 8.3.RC2 | 2.8.0 / 2.8.0 |
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## Release cadence
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@@ -107,6 +107,8 @@ def _run_worker_process(
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quantization="ascend" if "W8A8" in model_path else None,
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enable_expert_parallel=True if "DeepSeek" in model_path else False,
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trust_remote_code=True,
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# vllm enables async scheduling by default, remove below when vllm >= 0.14.0
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async_scheduling=False,
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)
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# Expose model config to the main test process
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