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stable.yml
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name: stable_test
on:
workflow_dispatch:
inputs:
repo_org:
required: false
description: 'Tested repository organization name. Default is InternLM'
type: string
default: 'InternLM/lmdeploy'
repo_ref:
required: false
description: 'Set branch or tag or commit id. Default is "main"'
type: string
default: 'main'
offline_mode:
required: true
description: 'Whether start a offline mode, if true, you should prepare code and whl package by yourself'
type: boolean
default: false
schedule:
- cron: '00 8 * * 1'
env:
HOST_PIP_CACHE_DIR: /nvme/github-actions/pip-cache
HOST_LOCALTIME: /usr/share/zoneinfo/Asia/Shanghai
OUTPUT_FOLDER: cuda11.8_dist_${{ github.run_id }}
REPORT_DIR: /nvme/qa_test_models/stable_reports/${{ github.run_id }}
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
COMPASS_DATA_CACHE: /nvme/qa_test_models/dataset
jobs:
linux-build:
if: ${{github.event_name == 'schedule' || (!cancelled() && !inputs.offline_mode)}}
strategy:
matrix:
pyver: [py310]
runs-on: ubuntu-latest
env:
PYTHON_VERSION: ${{ matrix.pyver }}
PLAT_NAME: manylinux2014_x86_64
DOCKER_TAG: cuda11.8
steps:
- name: Checkout repository
uses: actions/checkout@v3
with:
repository: ${{ github.event.inputs.repo_org || 'InternLM/lmdeploy' }}
ref: ${{github.event.inputs.repo_ref || 'main'}}
- name: Build
run: |
echo ${PYTHON_VERSION}
echo ${PLAT_NAME}
echo ${DOCKER_TAG}
echo ${OUTPUT_FOLDER}
echo ${GITHUB_RUN_ID}
# remove -it
sed -i 's/docker run --rm -it/docker run --rm/g' builder/manywheel/build_wheel.sh
bash builder/manywheel/build_wheel.sh ${PYTHON_VERSION} ${PLAT_NAME} ${DOCKER_TAG} ${OUTPUT_FOLDER}
- name: Upload Artifacts
uses: actions/upload-artifact@v4
with:
if-no-files-found: error
path: builder/manywheel/${{ env.OUTPUT_FOLDER }}
retention-days: 1
name: my-artifact-${{ github.run_id }}-${{ matrix.pyver }}
benchmark:
needs: linux-build
if: ${{github.event_name == 'schedule' || !cancelled()}}
runs-on: [self-hosted, lmdeploy-stable]
timeout-minutes: 10080
strategy:
fail-fast: false
matrix:
model: ['internlm/internlm2_5-20b-chat']
container:
image: openmmlab/lmdeploy:latest-cu11
options: "--gpus=all --ipc=host --user root -e PIP_CACHE_DIR=/root/.cache/pip -e NVIDIA_DISABLE_REQUIRE=1 -e NO_PROXY=localhost,127.0.0.1 -e no_proxy=localhost,127.0.0.1 --pull never"
volumes:
- /nvme/github-actions/pip-cache:/root/.cache/pip
- /nvme/github-actions/packages:/root/packages
- /nvme/qa_test_models:/nvme/qa_test_models
- /mnt/187:/mnt/187
- /usr/share/zoneinfo/Asia/Shanghai:/etc/localtime:ro
steps:
- name: Clone repository
uses: actions/checkout@v3
if: ${{github.event_name == 'schedule' || !inputs.offline_mode}}
with:
repository: ${{ github.event.inputs.repo_org || 'InternLM/lmdeploy' }}
ref: ${{github.event.inputs.repo_ref || 'main'}}
- name: Copy repository - offline
if: ${{inputs.offline_mode}}
run: cp -r /nvme/qa_test_models/offline_pkg/lmdeploy/. .
- name: Download Artifacts
if: ${{github.event_name == 'schedule' || !inputs.offline_mode}}
uses: actions/download-artifact@v4
with:
name: my-artifact-${{ github.run_id }}-py310
- name: Install lmdeploy - dependency
run: |
# manually install flash attn
# the install packeage from. https://github.com/Dao-AILab/flash-attention/releases
python3 -m pip install /root/packages/flash_attn-2.6.3+cu118torch2.3cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
python3 -m pip install /root/packages/xformers-0.0.27+cu118-cp310-cp310-manylinux2014_x86_64.whl --no-deps
python3 -m pip install -r /nvme/qa_test_models/offline_pkg/requirements.txt
- name: Install lmdeploy
if: ${{github.event_name == 'schedule' || !inputs.offline_mode}}
run: |
python3 -m pip install lmdeploy-*.whl --no-deps
python3 -m pip install -r requirements/test.txt
- name: Install lmdeploy - offline
if: ${{inputs.offline_mode}}
run: |
python3 -m pip install /nvme/qa_test_models/offline_pkg/py310/lmdeploy-*.whl --no-deps
python3 -m pip install -r requirements/test.txt
- name: Install opencompass
run: |
git clone --depth=1 https://github.com/open-compass/opencompass.git
cd opencompass
python3 -m pip install -e .
cd ..
- name: Check env
run: |
python3 -m pip list
lmdeploy check_env
- name: Start restful api turbomind
run: |
mkdir ${{env.REPORT_DIR}} -p
CUDA_VISIBLE_DEVICES=6,7 lmdeploy serve api_server /nvme/qa_test_models/${{matrix.model}} --tp 2 --max-batch-size 256 --cache-max-entry-count 0.9 --server-port 23344 > ${{env.REPORT_DIR}}/restful.log 2>&1 &
echo "restful_pid=$!" >> "$GITHUB_ENV"
sleep 120s
- name: Run OC result
continue-on-error: true
run: |
ln -s /nvme/qa_test_models/dataset/data .
opencompass .github/scripts/eval_stable_object_config.py --reuse --dump-eval-details --work-dir ${{env.REPORT_DIR}}-object-1
opencompass .github/scripts/eval_stable_subject_config.py --reuse --dump-eval-details --work-dir ${{env.REPORT_DIR}}-subject-1
opencompass .github/scripts/eval_stable_object_config.py --reuse --dump-eval-details --work-dir ${{env.REPORT_DIR}}-object-2
opencompass .github/scripts/eval_stable_subject_config.py --reuse --dump-eval-details --work-dir ${{env.REPORT_DIR}}-subject-2
opencompass .github/scripts/eval_stable_object_config.py --reuse --dump-eval-details --work-dir ${{env.REPORT_DIR}}-object-3
opencompass .github/scripts/eval_stable_subject_config.py --reuse --dump-eval-details --work-dir ${{env.REPORT_DIR}}-subject-3
- name: Test lmdeploy - restful api
run: |
python3 benchmark/profile_restful_api.py --backend lmdeploy --base-url http://localhost:23344 --dataset-path /nvme/qa_test_models/datasets/ShareGPT_V3_unfiltered_cleaned_split.json --num-prompts 10000 --output-file ${{env.REPORT_DIR}}/stable.jsonl > ${{env.REPORT_DIR}}/stable.log
python3 /nvme/qa_test_models/offline_pkg/profile_restful_api_internal.py localhost:23344 /nvme/qa_test_models/${{matrix.model}} /nvme/qa_test_models/datasets/Mixed.json --stream-output True --num-prompts 100000 --csv ${{env.REPORT_DIR}}/stable-internal-1.csv > ${{env.REPORT_DIR}}/stable-internal-1.log
python3 /nvme/qa_test_models/offline_pkg/profile_restful_api_internal.py localhost:23344 /nvme/qa_test_models/${{matrix.model}} /nvme/qa_test_models/datasets/Mixed.json --stream-output True --num-prompts 100000 --csv ${{env.REPORT_DIR}}/stable-internal-2.csv > ${{env.REPORT_DIR}}/stable-internal-2.log
python3 /nvme/qa_test_models/offline_pkg/profile_restful_api_internal.py localhost:23344 /nvme/qa_test_models/${{matrix.model}} /nvme/qa_test_models/datasets/Mixed.json --stream-output True --num-prompts 100000 --csv ${{env.REPORT_DIR}}/stable-internal-3.csv > ${{env.REPORT_DIR}}/stable-internal-3.log
python3 /nvme/qa_test_models/offline_pkg/profile_restful_api_internal.py localhost:23344 /nvme/qa_test_models/${{matrix.model}} /nvme/qa_test_models/datasets/Mixed.json --stream-output True --num-prompts 100000 --csv ${{env.REPORT_DIR}}/stable-internal-2.csv > ${{env.REPORT_DIR}}/stable-internal-4.log
python3 /nvme/qa_test_models/offline_pkg/profile_restful_api_internal.py localhost:23344 /nvme/qa_test_models/${{matrix.model}} /nvme/qa_test_models/datasets/Mixed.json --stream-output True --num-prompts 100000 --csv ${{env.REPORT_DIR}}/stable-internal-3.csv > ${{env.REPORT_DIR}}/stable-internal-5.log
- name: Attach result
if: always()
run: |
python3 .github/scripts/action_tools.py generate_csv_from_profile_result ${{env.REPORT_DIR}}/stable.jsonl ${{env.REPORT_DIR}}/stable.csv
python3 .github/scripts/action_tools.py add_summary ${{env.REPORT_DIR}}/stable.csv
python3 .github/scripts/action_tools.py add_summary ${{env.REPORT_DIR}}/stable-internal-1.csv
python3 .github/scripts/action_tools.py add_summary ${{env.REPORT_DIR}}/stable-internal-2.csv
python3 .github/scripts/action_tools.py add_summary ${{env.REPORT_DIR}}/stable-internal-3.csv
python3 .github/scripts/action_tools.py add_summary ${{env.REPORT_DIR}}/stable-internal-4.csv
python3 .github/scripts/action_tools.py add_summary ${{env.REPORT_DIR}}/stable-internal-5.csv
- name: Kill api server
if: always()
run: |
kill -15 "$restful_pid"
- name: Clear workfile
if: always()
run: |
chmod -R 777 $REPORT_DIR
export workdir=$(pwd)
cd ..
rm -rf $workdir
mkdir $workdir
chmod -R 777 $workdir