[NPU] update nightly tests (#17952)
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: cy <chenyang08056032@163.com>
This commit is contained in:
121
.github/workflows/nightly-test-npu.yml
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121
.github/workflows/nightly-test-npu.yml
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@@ -165,7 +165,7 @@ jobs:
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STREAMS_PER_DEVICE: 32
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run: |
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hf download lmms-lab/MMMU --repo-type dataset
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pip install sentence_transformers torchaudio==2.8.0 torch_npu==2.8.0
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pip install sentence_transformers
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pip install protobuf==6.31.1 zss pre-commit wandb>=0.16.0 tenacity==8.3.0 loguru openpyxl latex2sympy2 zstandard transformers-stream-generator tqdm-multiprocess pycocoevalcap
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pip install yt-dlp sentencepiece==0.1.99 nltk av ftfy sqlitedict==2.1.0 sacrebleu>=1.5.0 pytablewriter peft==0.2.0 black==24.1.0 isort==5.13.2 peft>=0.2.0 accelerate>=0.29.1
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pip install jsonlines httpx==0.25.0 evaluate>=0.4.0 datasets==2.16.1 numexpr xgrammar==0.1.25 numpy==1.26.4 dotenv
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@@ -178,11 +178,130 @@ jobs:
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cd test
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python3 run_suite.py --hw npu --suite nightly-4-npu-a3 --nightly --continue-on-error --timeout-per-file 3600 --auto-partition-id ${{ matrix.part }} --auto-partition-size 1
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nightly-8-npu-a3:
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if: ${{ (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') }}
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runs-on: linux-aarch64-a3-8
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strategy:
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fail-fast: false
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matrix:
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part: [0]
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container:
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image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.5.0-a3-ubuntu22.04-py3.11
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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with:
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ref: ${{ inputs.ref || github.ref }}
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- name: Install dependencies
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run: |
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# speed up by using infra cache services
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CACHING_URL="cache-service.nginx-pypi-cache.svc.cluster.local"
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sed -Ei "s@(ports|archive).ubuntu.com@${CACHING_URL}:8081@g" /etc/apt/sources.list
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pip config set global.index-url http://${CACHING_URL}/pypi/simple
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pip config set global.extra-index-url "https://pypi.tuna.tsinghua.edu.cn/simple"
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pip config set global.trusted-host "${CACHING_URL} pypi.tuna.tsinghua.edu.cn"
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bash scripts/ci/npu/npu_ci_install_dependency.sh a3
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# copy required file from our daily cache
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cp ~/.cache/modelscope/hub/datasets/otavia/ShareGPT_Vicuna_unfiltered/ShareGPT_V3_unfiltered_cleaned_split.json /tmp
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# copy download through proxy
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curl -o /tmp/test.jsonl -L https://gh-proxy.test.osinfra.cn/https://raw.githubusercontent.com/openai/grade-school-math/master/grade_school_math/data/test.jsonl
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- name: Print Log Information
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run: |
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bash scripts/ci/npu/npu_log_print.sh
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- name: Run test
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timeout-minutes: 240
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env:
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SGLANG_USE_MODELSCOPE: true
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SGLANG_IS_IN_CI: true
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HF_ENDPOINT: https://hf-mirror.com
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TORCH_EXTENSIONS_DIR: /tmp/torch_extensions
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PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
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STREAMS_PER_DEVICE: 32
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run: |
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hf download lmms-lab/MMMU --repo-type dataset
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pip install sentence_transformers
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pip install protobuf==6.31.1 zss pre-commit wandb>=0.16.0 tenacity==8.3.0 loguru openpyxl latex2sympy2 zstandard transformers-stream-generator tqdm-multiprocess pycocoevalcap
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pip install yt-dlp sentencepiece==0.1.99 nltk av ftfy sqlitedict==2.1.0 sacrebleu>=1.5.0 pytablewriter peft==0.2.0 black==24.1.0 isort==5.13.2 peft>=0.2.0 accelerate>=0.29.1
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pip install jsonlines httpx==0.25.0 evaluate>=0.4.0 datasets==2.16.1 numexpr xgrammar==0.1.25 numpy==1.26.4 dotenv
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git clone --branch v0.3.3 --depth 1 https://github.com/EvolvingLMMs-Lab/lmms-eval.git
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cd ./lmms-eval
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nohup pip install . > lmmslog.txt 2>&1 &
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sleep 120
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export PYTHONPATH=$PYTHONPATH:$(pwd)
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cd ../
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cd test
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python3 run_suite.py --hw npu --suite nightly-8-npu-a3 --nightly --continue-on-error --timeout-per-file 3600 --auto-partition-id ${{ matrix.part }} --auto-partition-size 1
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nightly-16-npu-a3:
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if: ${{ (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') }}
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runs-on: linux-aarch64-a3-16
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strategy:
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fail-fast: false
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matrix:
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part: [0]
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container:
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image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.5.0-a3-ubuntu22.04-py3.11
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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with:
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ref: ${{ inputs.ref || github.ref }}
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- name: Install dependencies
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run: |
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# speed up by using infra cache services
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CACHING_URL="cache-service.nginx-pypi-cache.svc.cluster.local"
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sed -Ei "s@(ports|archive).ubuntu.com@${CACHING_URL}:8081@g" /etc/apt/sources.list
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pip config set global.index-url http://${CACHING_URL}/pypi/simple
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pip config set global.extra-index-url "https://pypi.tuna.tsinghua.edu.cn/simple"
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pip config set global.trusted-host "${CACHING_URL} pypi.tuna.tsinghua.edu.cn"
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bash scripts/ci/npu/npu_ci_install_dependency.sh a3
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# copy required file from our daily cache
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cp ~/.cache/modelscope/hub/datasets/otavia/ShareGPT_Vicuna_unfiltered/ShareGPT_V3_unfiltered_cleaned_split.json /tmp
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# copy download through proxy
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curl -o /tmp/test.jsonl -L https://gh-proxy.test.osinfra.cn/https://raw.githubusercontent.com/openai/grade-school-math/master/grade_school_math/data/test.jsonl
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- name: Print Log Information
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run: |
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bash scripts/ci/npu/npu_log_print.sh
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- name: Run test
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timeout-minutes: 240
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env:
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SGLANG_USE_MODELSCOPE: true
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SGLANG_IS_IN_CI: true
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HF_ENDPOINT: https://hf-mirror.com
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TORCH_EXTENSIONS_DIR: /tmp/torch_extensions
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PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
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STREAMS_PER_DEVICE: 32
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run: |
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hf download lmms-lab/MMMU --repo-type dataset
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pip install sentence_transformers
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pip install protobuf==6.31.1 zss pre-commit wandb>=0.16.0 tenacity==8.3.0 loguru openpyxl latex2sympy2 zstandard transformers-stream-generator tqdm-multiprocess pycocoevalcap
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pip install yt-dlp sentencepiece==0.1.99 nltk av ftfy sqlitedict==2.1.0 sacrebleu>=1.5.0 pytablewriter peft==0.2.0 black==24.1.0 isort==5.13.2 peft>=0.2.0 accelerate>=0.29.1
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pip install jsonlines httpx==0.25.0 evaluate>=0.4.0 datasets==2.16.1 numexpr xgrammar==0.1.25 numpy==1.26.4 dotenv
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git clone --branch v0.3.3 --depth 1 https://github.com/EvolvingLMMs-Lab/lmms-eval.git
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cd ./lmms-eval
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nohup pip install . > lmmslog.txt 2>&1 &
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sleep 120
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export PYTHONPATH=$PYTHONPATH:$(pwd)
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cd ../
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cd test
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python3 run_suite.py --hw npu --suite nightly-16-npu-a3 --nightly --continue-on-error --timeout-per-file 3600 --auto-partition-id ${{ matrix.part }} --auto-partition-size 1
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check-all-jobs:
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if: github.repository == 'sgl-project/sglang' && always()
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needs:
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- nightly-1-npu-a3
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- nightly-2-npu-a3
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- nightly-4-npu-a3
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- nightly-8-npu-a3
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- nightly-16-npu-a3
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runs-on: ubuntu-latest
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container:
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image: docker.m.daocloud.io/ubuntu:22.04
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