Files
xc-llm-ascend/.github/workflows/vllm_ascend_test.yaml
sdmyzlp 7bdc606677 Support multistream of shared experts in FusedMoE (#997)
Contains on #1111 for completeness.

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https://docs.vllm.ai/en/latest/contributing/overview.html

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### What this PR does / why we need it?
Implement multi-stream parallelism for MoE layers with shared experts,
where computation of shared experts will be overlapped with expert token
dispatch and combine. Also, when multi-stream is enabled, weights of
shared experts will be force to replicate across all cards, regardless
of any tensor parallelism configurations, to avoid AllReduce operations.

With the expected overlaping being:
```
| shared gate_up | shared act |              | shared down |
|    dispatch    | routed gate_up, act, down |   combine   |
```

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- Please clarify why the changes are needed. For instance, the use case
and bug description.

- Fixes #
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### Does this PR introduce _any_ user-facing change?
No.

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as API, interface or other behavior changes.
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### How was this patch tested?
Tested on 1x16 910 node, with tailored 2 layer DSKv2.
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---------

Signed-off-by: sdmyzlp <lrwei2@petalmail.com>
2025-06-11 09:18:38 +08:00

225 lines
9.5 KiB
YAML

#
# 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'
# 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}
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: 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 }}
e2e:
needs: [lint]
if: ${{ needs.lint.result == 'success' }}
strategy:
max-parallel: 2
matrix:
os: [linux-arm64-npu-1, linux-arm64-npu-4]
vllm_version: [main, v0.9.0]
concurrency:
group: >
${{
matrix.os == 'linux-arm64-npu-4'
&& github.event.pull_request.number
&& format('pr-{0}-limit-npu-4', github.event.pull_request.number)
|| format('job-{0}-{1}-{2}', matrix.os, matrix.vllm_version, github.event.pull_request.number)
}}
cancel-in-progress: false
name: vLLM Ascend 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:
HF_ENDPOINT: https://hf-mirror.com
HF_TOKEN: ${{ secrets.HF_TOKEN }}
VLLM_LOGGING_LEVEL: ERROR
steps:
- name: Check npu and CANN info
run: |
npu-smi info
cat /usr/local/Ascend/ascend-toolkit/latest/"$(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: ${{ matrix.vllm_version }}
path: ./vllm-empty
- name: Install vllm-project/vllm from source
working-directory: ./vllm-empty
run: |
VLLM_TARGET_DEVICE=empty pip install -e .
- name: Install vllm-project/vllm-ascend
run: |
pip install -r requirements-dev.txt
pip install -v -e .
- name: Run vllm-project/vllm-ascend test for V1 Engine
env:
VLLM_USE_V1: 1
VLLM_WORKER_MULTIPROC_METHOD: spawn
run: |
if [[ "${{ matrix.os }}" == "linux-arm64-npu-1" ]]; then
VLLM_USE_MODELSCOPE=True pytest -sv tests/singlecard/test_offline_inference.py
pytest -sv tests/singlecard/test_scheduler.py
# guided decoding doesn't work, fix it later
# pytest -sv tests/singlecard/test_guided_decoding.py.py
# test_ascend_config.py should be ran separately because it will regenerate the global config many times.
pytest -sv tests/singlecard/test_ascend_config.py
pytest -sv tests/singlecard/test_camem.py
pytest -sv tests/singlecard/ \
--ignore=tests/singlecard/test_offline_inference.py \
--ignore=tests/singlecard/test_scheduler.py \
--ignore=tests/singlecard/test_guided_decoding.py \
--ignore=tests/singlecard/test_ascend_config.py \
--ignore=tests/singlecard/test_camem.py
else
pytest -sv tests/multicard/test_ilama_lora_tp2.py
# To avoid oom, we need to run the test in a single process.
VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_QwQ
VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek
VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_topk
VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W8A8
VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/ --ignore=tests/multicard/test_ilama_lora_tp2.py --ignore=tests/multicard/test_offline_inference_distributed.py
fi
- name: Run vllm-project/vllm-ascend test on V0 engine
env:
VLLM_USE_V1: 0
run: |
if [[ "${{ matrix.os }}" == "linux-arm64-npu-1" ]]; then
VLLM_USE_MODELSCOPE=True pytest -sv tests/singlecard/test_offline_inference.py
pytest -sv tests/singlecard/test_scheduler.py
# guided decoding doesn't work, fix it later
# pytest -sv tests/singlecard/test_guided_decoding.py.py
pytest -sv tests/singlecard/test_camem.py
# test_ascend_config.py should be ran separately because it will regenerate the global config many times.
pytest -sv tests/singlecard/test_ascend_config.py
pytest -sv tests/singlecard/test_prompt_embedding.py
pytest -sv tests/singlecard/ \
--ignore=tests/singlecard/test_offline_inference.py \
--ignore=tests/singlecard/test_scheduler.py \
--ignore=tests/singlecard/test_guided_decoding.py \
--ignore=tests/singlecard/test_camem.py \
--ignore=tests/singlecard/test_ascend_config.py \
--ignore=tests/singlecard/test_prompt_embedding.py
else
pytest -sv tests/multicard/test_ilama_lora_tp2.py
# Fixme: run VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py will raise error.
# To avoid oom, we need to run the test in a single process.
VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_QwQ
VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek
VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_topk
VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W8A8
VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/ --ignore=tests/multicard/test_ilama_lora_tp2.py --ignore=tests/multicard/test_offline_inference_distributed.py
fi