Files
xc-llm-ascend/.github/workflows/vllm_ascend_test.yaml
Mengqing Cao 96fa7ff63b [DP][V1] Fix rank set in DP scenario & Bump torch-npu version to 2.5.1.post1.dev20250528 (#1235)
### What this PR does / why we need it?
1. Fix rank set in DP scenario. The new poc version of torch-npu support
setting `ASCEND_RT_VISIBLE_DEVICES` dynamically, thus we could use the
rank set in `DPEngineCoreProc` directly instead of calculating local
rank across dp by hand in the patched `_init_data_parallel`

Closes: https://github.com/vllm-project/vllm-ascend/issues/1170

2. Bump torch-npu version to 2.5.1.post1.dev20250528

Closes: https://github.com/vllm-project/vllm-ascend/pull/1242
Closes: https://github.com/vllm-project/vllm-ascend/issues/1232


### How was this patch tested?
CI passed with new added test.

---------

Signed-off-by: MengqingCao <cmq0113@163.com>
Signed-off-by: Icey <1790571317@qq.com>
Co-authored-by: Icey <1790571317@qq.com>
2025-06-16 23:09:53 +08:00

356 lines
14 KiB
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#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This file is a part of the vllm-ascend project.
#
name: 'test'
on:
schedule:
- cron: '0 23 * * *'
pull_request:
branches:
- 'main'
- '*-dev'
paths:
- '*.txt'
- '**/*.py'
- '.github/workflows/vllm_ascend_test.yaml'
- '!docs/**'
- 'pytest.ini'
- '!benchmarks/**'
- 'tools/mypy.sh'
- 'mypy.ini'
- '.github/workflows/*.ya?ml'
- '.github/workflows/actionlint.*'
- '.github/workflows/matchers/actionlint.json'
# Bash shells do not use ~/.profile or ~/.bashrc so these shells need to be explicitly
# declared as "shell: bash -el {0}" on steps that need to be properly activated.
# It's used to activate ascend-toolkit environment variables.
defaults:
run:
shell: bash -el {0}
# only cancel in-progress runs of the same workflow
# and ignore the lint / 1 card / 4 cards test type
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
lint:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.10"]
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements-lint.txt
- name: Run codespell check
run: |
CODESPELL_EXCLUDES=('--skip' 'tests/prompts/**,./benchmarks/sonnet.txt,*tests/lora/data/**,build/**,./vllm_ascend.egg-info/**')
CODESPELL_IGNORE_WORDS=('-L' 'CANN,cann,NNAL,nnal,ASCEND,ascend,EnQue,CopyIn')
codespell --toml pyproject.toml "${CODESPELL_EXCLUDES[@]}" "${CODESPELL_IGNORE_WORDS[@]}"
- name: Analysing the code with ruff
run: |
echo "::add-matcher::.github/workflows/matchers/ruff.json"
ruff check --output-format github .
- name: Run isort
run: |
isort . --check-only
- name: Running yapf
run: |
python -m pip install --upgrade pip
pip install toml
pip install yapf==0.32.0
yapf --diff --recursive .
- name: Install dependencies
run: |
pip install -r requirements-dev.txt --extra-index-url https://download.pytorch.org/whl/cpu
- name: Checkout vllm-project/vllm repo
uses: actions/checkout@v4
with:
repository: vllm-project/vllm
path: vllm-empty
- name: Actionlint Check
env:
SHELLCHECK_OPTS: --exclude=SC2046,SC2006,SC2086
run: |
echo "::add-matcher::.github/workflows/matchers/actionlint.json"
tools/actionlint.sh -color
- name: Install vllm-project/vllm from source
working-directory: vllm-empty
run: |
pip install -r requirements/build.txt --extra-index-url https://download.pytorch.org/whl/cpu
VLLM_TARGET_DEVICE=empty pip install .
- name: Mypy Check
run: |
echo "::add-matcher::.github/workflows/matchers/mypy.json"
tools/mypy.sh 1 ${{ matrix.python-version }}
ut:
needs: [lint]
name: unit test
if: ${{ needs.lint.result == 'success' }}
runs-on: ubuntu-latest
container:
image: m.daocloud.io/quay.io/ascend/cann:8.1.rc1-910b-ubuntu22.04-py3.10
env:
VLLM_LOGGING_LEVEL: ERROR
VLLM_USE_MODELSCOPE: True
strategy:
matrix:
vllm_version: [main, v0.9.1]
steps:
- name: Install packages
run: |
apt-get update -y
apt-get install -y python3-pip git vim wget net-tools gcc g++ cmake libnuma-dev
- name: Checkout vllm-project/vllm repo
uses: actions/checkout@v4
with:
repository: vllm-project/vllm
ref: ${{ matrix.vllm_version }}
path: ./vllm-empty
- name: Install vllm-project/vllm from source
working-directory: ./vllm-empty
run: |
VLLM_TARGET_DEVICE=empty python3 -m pip install . --extra-index https://download.pytorch.org/whl/cpu/
python3 -m pip uninstall -y triton
- name: Checkout vllm-project/vllm-ascend repo
uses: actions/checkout@v4
- name: Install vllm-project/vllm-ascend
run: |
export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/x86_64-linux/devlib
python3 -m pip install -r requirements-dev.txt --extra-index https://download.pytorch.org/whl/cpu/
python3 -m pip install -v . --extra-index https://download.pytorch.org/whl/cpu/
- name: Run unit test for V1 Engine
env:
VLLM_USE_V1: 1
VLLM_WORKER_MULTIPROC_METHOD: spawn
TORCH_DEVICE_BACKEND_AUTOLOAD: 0
run: |
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/x86_64-linux/devlib
pytest -sv tests/ut
e2e:
needs: [lint]
if: ${{ needs.lint.result == 'success' }}
strategy:
max-parallel: 2
matrix:
os: [linux-arm64-npu-1]
vllm_version: [main, v0.9.1]
name: singlecard e2e test
runs-on: ${{ matrix.os }}
container:
# TODO(yikun): Remove m.daocloud.io prefix when infra proxy ready
image: m.daocloud.io/quay.io/ascend/cann:8.1.rc1-910b-ubuntu22.04-py3.10
env:
VLLM_LOGGING_LEVEL: ERROR
steps:
- name: Check npu and CANN info
run: |
npu-smi info
cat /usr/local/Ascend/ascend-toolkit/latest/"$(uname -i)"-linux/ascend_toolkit_install.info
- name: Config mirrors
run: |
sed -i 's|ports.ubuntu.com|mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list
pip config set global.index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
apt-get update -y
apt install git -y
git config --global url."https://gh-proxy.test.osinfra.cn/https://github.com/".insteadOf https://github.com/
- name: Checkout vllm-project/vllm-ascend repo
uses: actions/checkout@v4
- name: Install system dependencies
run: |
apt-get -y install `cat packages.txt`
apt-get -y install gcc g++ cmake libnuma-dev
- name: Checkout vllm-project/vllm repo
uses: actions/checkout@v4
with:
repository: vllm-project/vllm
ref: ${{ matrix.vllm_version }}
path: ./vllm-empty
- name: Install vllm-project/vllm from source
working-directory: ./vllm-empty
run: |
VLLM_TARGET_DEVICE=empty pip install -e .
- name: Install vllm-project/vllm-ascend
env:
PIP_EXTRA_INDEX_URL: https://mirrors.huaweicloud.com/ascend/repos/pypi
run: |
pip install -r requirements-dev.txt
pip install -v -e .
- name: Run e2e test for V1 Engine
env:
VLLM_USE_V1: 1
VLLM_WORKER_MULTIPROC_METHOD: spawn
VLLM_USE_MODELSCOPE: True
run: |
pytest -sv tests/e2e/singlecard/test_offline_inference.py
# TODO: switch hf to modelscope
VLLM_USE_MODELSCOPE=False HF_ENDPOINT=https://hf-mirror.com \
pytest -sv tests/e2e/singlecard/test_ilama_lora.py
# TODO(sss): guided decoding doesn't work, fix it later
# pytest -sv tests/e2e/singlecard/test_guided_decoding.py
pytest -sv tests/e2e/singlecard/test_camem.py
pytest -sv tests/e2e/singlecard/ \
--ignore=tests/e2e/singlecard/test_offline_inference.py \
--ignore=tests/e2e/singlecard/test_ilama_lora.py \
--ignore=tests/e2e/singlecard/test_guided_decoding.py \
--ignore=tests/e2e/singlecard/test_camem.py
- name: Run e2e test on V0 engine
if: ${{ github.event_name == 'schedule' }}
env:
VLLM_USE_V1: 0
VLLM_USE_MODELSCOPE: True
run: |
pytest -sv tests/e2e/singlecard/test_offline_inference.py
# TODO: switch hf to modelscope
VLLM_USE_MODELSCOPE=False HF_ENDPOINT=https://hf-mirror.com \
pytest -sv tests/e2e/singlecard/test_ilama_lora.py
# guided decoding doesn't work, fix it later
# pytest -sv tests/e2e/singlecard/test_guided_decoding.py
pytest -sv tests/e2e/singlecard/test_camem.py
pytest -sv tests/e2e/singlecard/test_prompt_embedding.py
pytest -sv tests/e2e/singlecard/ \
--ignore=tests/e2e/singlecard/test_offline_inference.py \
--ignore=tests/e2e/singlecard/test_ilama_lora.py \
--ignore=tests/e2e/singlecard/test_guided_decoding.py \
--ignore=tests/e2e/singlecard/test_camem.py \
--ignore=tests/e2e/singlecard/test_prompt_embedding.py \
--ignore=tests/e2e/singlecard/core/test_ascend_scheduler.py \
--ignore=tests/e2e/singlecard/core/test_ascend_scheduler_e2e.py
e2e-4-cards:
needs: [e2e]
if: ${{ needs.e2e.result == 'success' }}
strategy:
max-parallel: 1
matrix:
os: [linux-arm64-npu-4]
vllm_version: [main, v0.9.1]
name: multicard e2e test
runs-on: ${{ matrix.os }}
container:
# TODO(yikun): Remove m.daocloud.io prefix when infra proxy ready
image: m.daocloud.io/quay.io/ascend/cann:8.1.rc1-910b-ubuntu22.04-py3.10
env:
VLLM_LOGGING_LEVEL: ERROR
VLLM_USE_MODELSCOPE: True
steps:
- name: Check npu and CANN info
run: |
npu-smi info
cat /usr/local/Ascend/ascend-toolkit/latest/"$(uname -i)"-linux/ascend_toolkit_install.info
- name: Config mirrors
run: |
sed -i 's|ports.ubuntu.com|mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list
pip config set global.index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
apt-get update -y
apt install git -y
git config --global url."https://gh-proxy.test.osinfra.cn/https://github.com/".insteadOf https://github.com/
- name: Checkout vllm-project/vllm-ascend repo
uses: actions/checkout@v4
- name: Install system dependencies
run: |
apt-get -y install `cat packages.txt`
apt-get -y install gcc g++ cmake libnuma-dev
- name: Checkout vllm-project/vllm repo
uses: actions/checkout@v4
with:
repository: vllm-project/vllm
ref: ${{ matrix.vllm_version }}
path: ./vllm-empty
- name: Install vllm-project/vllm from source
working-directory: ./vllm-empty
run: |
VLLM_TARGET_DEVICE=empty pip install -e .
- name: Install vllm-project/vllm-ascend
env:
PIP_EXTRA_INDEX_URL: https://mirrors.huaweicloud.com/ascend/repos/pypi
run: |
pip install -r requirements-dev.txt
pip install -v -e .
- name: Run vllm-project/vllm-ascend test for V1 Engine
env:
VLLM_USE_V1: 1
VLLM_WORKER_MULTIPROC_METHOD: spawn
VLLM_USE_MODELSCOPE: True
run: |
# TODO: switch hf to modelscope
VLLM_USE_MODELSCOPE=False HF_ENDPOINT=https://hf-mirror.com \
pytest -sv tests/e2e/multicard/test_ilama_lora_tp2.py
# Fixme: run VLLM_USE_MODELSCOPE=True pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py will raise error.
# To avoid oom, we need to run the test in a single process.
pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_QwQ
pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek
pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_topk
pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W8A8
pytest -sv tests/e2e/multicard/ --ignore=tests/e2e/multicard/test_ilama_lora_tp2.py --ignore=tests/e2e/multicard/test_offline_inference_distributed.py
- name: Run vllm-project/vllm-ascend test on V0 engine
if: ${{ github.event_name == 'schedule' }}
env:
VLLM_USE_V1: 0
VLLM_USE_MODELSCOPE: True
run: |
# TODO: switch hf to modelscope
VLLM_USE_MODELSCOPE=False HF_ENDPOINT=https://hf-mirror.com \
pytest -sv tests/e2e/multicard/test_ilama_lora_tp2.py
# Fixme: run VLLM_USE_MODELSCOPE=True pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py will raise error.
# To avoid oom, we need to run the test in a single process.
pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_QwQ
pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek
pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_topk
pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W8A8
pytest -sv tests/e2e/multicard/ --ignore=tests/e2e/multicard/test_ilama_lora_tp2.py --ignore=tests/e2e/multicard/test_offline_inference_distributed.py