[CI] Make e2e test to be preemptible and simple (#1217)
### What this PR does / why we need it? This PR make e2e test to be simple, even bring some repeat code between single card and multicard, but we will not struggle with across max-parallel, matrix and concurrency: 1. This PR make e2e test to be preemptible and simple: - lint ---> e2e (2 parallel) ---> e2e multi-card (1 parallel) - Anytime you push another PR will cancel previous job, whatever the job is lint / e2e / multi-cards 2. Use Modelscope rather than hf-mirror 3. Resolve some error like `Canceling since a higher priority waiting request for pr-XXXX-limit-npu-4 exists` ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? CI passed - lint ---> e2e (2 parallel) ---> e2e multi-card (1 parallel) - e2e test will canceled by update patch --------- Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
This commit is contained in:
Yikun Jiang
195
.github/workflows/vllm_ascend_test.yaml
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195
.github/workflows/vllm_ascend_test.yaml
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@@ -15,7 +15,7 @@
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# This file is a part of the vllm-ascend project.
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#
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name: 'test'
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name: 'e2e test / basic'
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on:
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schedule:
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@@ -44,6 +44,12 @@ defaults:
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run:
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shell: bash -el {0}
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# only cancel in-progress runs of the same workflow
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# and ignore the lint / 1 card / 4 cards test type
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concurrency:
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group: ${{ github.workflow }}-${{ github.ref }}
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cancel-in-progress: true
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jobs:
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lint:
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runs-on: ubuntu-latest
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@@ -114,25 +120,14 @@ jobs:
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strategy:
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max-parallel: 2
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matrix:
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os: [linux-arm64-npu-1, linux-arm64-npu-4]
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os: [linux-arm64-npu-1]
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vllm_version: [main, v0.9.1]
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concurrency:
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group: >
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${{
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matrix.os == 'linux-arm64-npu-4'
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&& github.event.pull_request.number
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&& format('pr-{0}-limit-npu-4', github.event.pull_request.number)
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|| format('job-{0}-{1}-{2}', matrix.os, matrix.vllm_version, github.event.pull_request.number)
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}}
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cancel-in-progress: false
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name: vLLM Ascend test
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runs-on: ${{ matrix.os }}
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container:
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# TODO(yikun): Remove m.daocloud.io prefix when infra proxy ready
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image: m.daocloud.io/quay.io/ascend/cann:8.1.rc1-910b-ubuntu22.04-py3.10
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env:
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HF_ENDPOINT: https://hf-mirror.com
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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VLLM_LOGGING_LEVEL: ERROR
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steps:
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- name: Check npu and CANN info
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@@ -177,61 +172,135 @@ jobs:
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env:
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VLLM_USE_V1: 1
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VLLM_WORKER_MULTIPROC_METHOD: spawn
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VLLM_USE_MODELSCOPE: True
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run: |
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if [[ "${{ matrix.os }}" == "linux-arm64-npu-1" ]]; then
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VLLM_USE_MODELSCOPE=True pytest -sv tests/singlecard/test_offline_inference.py
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# guided decoding doesn't work, fix it later
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# pytest -sv tests/singlecard/test_guided_decoding.py.py
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# test_ascend_config.py should be ran separately because it will regenerate the global config many times.
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pytest -sv tests/singlecard/test_ascend_config.py
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pytest -sv tests/singlecard/test_camem.py
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pytest -sv tests/singlecard/core/test_ascend_scheduler.py
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pytest -sv tests/singlecard/core/test_ascend_scheduler_e2e.py
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pytest -sv tests/singlecard/ \
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--ignore=tests/singlecard/test_offline_inference.py \
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--ignore=tests/singlecard/test_guided_decoding.py \
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--ignore=tests/singlecard/test_ascend_config.py \
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--ignore=tests/singlecard/test_camem.py \
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--ignore=tests/singlecard/core/test_ascend_scheduler.py \
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--ignore=tests/singlecard/core/test_ascend_scheduler_e2e.py
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else
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pytest -sv tests/multicard/test_ilama_lora_tp2.py
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# To avoid oom, we need to run the test in a single process.
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VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_QwQ
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VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek
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VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_topk
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VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W8A8
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VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/ --ignore=tests/multicard/test_ilama_lora_tp2.py --ignore=tests/multicard/test_offline_inference_distributed.py
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fi
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pytest -sv tests/singlecard/test_offline_inference.py
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# TODO: switch hf to modelscope
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VLLM_USE_MODELSCOPE=False HF_ENDPOINT=https://hf-mirror.com \
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pytest -sv tests/singlecard/test_ilama_lora.py
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# TODO(sss): guided decoding doesn't work, fix it later
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# pytest -sv tests/singlecard/test_guided_decoding.py
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# test_ascend_config.py should be ran separately because it will regenerate the global config many times.
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pytest -sv tests/singlecard/test_ascend_config.py
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pytest -sv tests/singlecard/test_camem.py
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pytest -sv tests/singlecard/ \
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--ignore=tests/singlecard/test_offline_inference.py \
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--ignore=tests/singlecard/test_ilama_lora.py \
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--ignore=tests/singlecard/test_guided_decoding.py \
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--ignore=tests/singlecard/test_ascend_config.py \
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--ignore=tests/singlecard/test_camem.py
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- name: Run vllm-project/vllm-ascend test on V0 engine
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if: ${{ github.event_name == 'schedule' }}
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env:
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VLLM_USE_V1: 0
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VLLM_USE_MODELSCOPE: True
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run: |
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if [[ "${{ matrix.os }}" == "linux-arm64-npu-1" ]]; then
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VLLM_USE_MODELSCOPE=True pytest -sv tests/singlecard/test_offline_inference.py
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# guided decoding doesn't work, fix it later
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# pytest -sv tests/singlecard/test_guided_decoding.py.py
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pytest -sv tests/singlecard/test_camem.py
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# test_ascend_config.py should be ran separately because it will regenerate the global config many times.
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pytest -sv tests/singlecard/test_ascend_config.py
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pytest -sv tests/singlecard/test_prompt_embedding.py
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pytest -sv tests/singlecard/ \
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--ignore=tests/singlecard/test_offline_inference.py \
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--ignore=tests/singlecard/test_guided_decoding.py \
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--ignore=tests/singlecard/test_camem.py \
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--ignore=tests/singlecard/test_ascend_config.py \
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--ignore=tests/singlecard/test_prompt_embedding.py \
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--ignore=tests/singlecard/core/test_ascend_scheduler.py \
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--ignore=tests/singlecard/core/test_ascend_scheduler_e2e.py
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else
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pytest -sv tests/singlecard/test_offline_inference.py
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# TODO: switch hf to modelscope
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VLLM_USE_MODELSCOPE=False HF_ENDPOINT=https://hf-mirror.com \
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pytest -sv tests/singlecard/test_ilama_lora.py
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# guided decoding doesn't work, fix it later
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# pytest -sv tests/singlecard/test_guided_decoding.py
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pytest -sv tests/singlecard/test_camem.py
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# test_ascend_config.py should be ran separately because it will regenerate the global config many times.
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pytest -sv tests/singlecard/test_ascend_config.py
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pytest -sv tests/singlecard/test_prompt_embedding.py
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pytest -sv tests/singlecard/ \
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--ignore=tests/singlecard/test_offline_inference.py \
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--ignore=tests/singlecard/test_ilama_lora.py \
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--ignore=tests/singlecard/test_guided_decoding.py \
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--ignore=tests/singlecard/test_camem.py \
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--ignore=tests/singlecard/test_ascend_config.py \
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--ignore=tests/singlecard/test_prompt_embedding.py \
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--ignore=tests/singlecard/core/test_ascend_scheduler.py \
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--ignore=tests/singlecard/core/test_ascend_scheduler_e2e.py
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e2e-4-cards:
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needs: [e2e]
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if: ${{ needs.e2e.result == 'success' }}
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strategy:
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max-parallel: 1
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matrix:
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os: [linux-arm64-npu-4]
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vllm_version: [main, v0.9.1]
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name: vLLM Ascend test
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runs-on: ${{ matrix.os }}
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container:
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# TODO(yikun): Remove m.daocloud.io prefix when infra proxy ready
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image: m.daocloud.io/quay.io/ascend/cann:8.1.rc1-910b-ubuntu22.04-py3.10
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env:
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VLLM_LOGGING_LEVEL: ERROR
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VLLM_USE_MODELSCOPE: True
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steps:
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- name: Check npu and CANN info
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run: |
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npu-smi info
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cat /usr/local/Ascend/ascend-toolkit/latest/"$(uname -i)"-linux/ascend_toolkit_install.info
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- name: Config mirrors
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run: |
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sed -i 's|ports.ubuntu.com|mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list
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pip config set global.index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
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apt-get update -y
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apt install git -y
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git config --global url."https://gh-proxy.test.osinfra.cn/https://github.com/".insteadOf https://github.com/
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- name: Checkout vllm-project/vllm-ascend repo
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uses: actions/checkout@v4
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- name: Install system dependencies
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run: |
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apt-get -y install `cat packages.txt`
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apt-get -y install gcc g++ cmake libnuma-dev
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- name: Checkout vllm-project/vllm repo
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uses: actions/checkout@v4
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with:
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repository: vllm-project/vllm
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ref: ${{ matrix.vllm_version }}
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path: ./vllm-empty
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- name: Install vllm-project/vllm from source
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working-directory: ./vllm-empty
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run: |
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VLLM_TARGET_DEVICE=empty pip install -e .
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- name: Install vllm-project/vllm-ascend
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run: |
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pip install -r requirements-dev.txt
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pip install -v -e .
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- name: Run vllm-project/vllm-ascend test for V1 Engine
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env:
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VLLM_USE_V1: 1
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VLLM_WORKER_MULTIPROC_METHOD: spawn
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VLLM_USE_MODELSCOPE: True
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run: |
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# TODO: switch hf to modelscope
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VLLM_USE_MODELSCOPE=False HF_ENDPOINT=https://hf-mirror.com \
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pytest -sv tests/multicard/test_ilama_lora_tp2.py
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# Fixme: run VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py will raise error.
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# To avoid oom, we need to run the test in a single process.
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VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_QwQ
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VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek
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VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_topk
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VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W8A8
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VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/ --ignore=tests/multicard/test_ilama_lora_tp2.py --ignore=tests/multicard/test_offline_inference_distributed.py
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fi
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# Fixme: run VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py will raise error.
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# To avoid oom, we need to run the test in a single process.
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pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_QwQ
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pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek
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pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_topk
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pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W8A8
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pytest -sv tests/multicard/ --ignore=tests/multicard/test_ilama_lora_tp2.py --ignore=tests/multicard/test_offline_inference_distributed.py
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- name: Run vllm-project/vllm-ascend test on V0 engine
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if: ${{ github.event_name == 'schedule' }}
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env:
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VLLM_USE_V1: 0
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VLLM_USE_MODELSCOPE: True
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run: |
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# TODO: switch hf to modelscope
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VLLM_USE_MODELSCOPE=False HF_ENDPOINT=https://hf-mirror.com \
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pytest -sv tests/multicard/test_ilama_lora_tp2.py
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# Fixme: run VLLM_USE_MODELSCOPE=True pytest -sv tests/multicard/test_offline_inference_distributed.py will raise error.
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# To avoid oom, we need to run the test in a single process.
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pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_QwQ
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pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek
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pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_topk
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pytest -sv tests/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W8A8
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pytest -sv tests/multicard/ --ignore=tests/multicard/test_ilama_lora_tp2.py --ignore=tests/multicard/test_offline_inference_distributed.py
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