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11 changes: 6 additions & 5 deletions .github/workflows/api_eval.yml
Original file line number Diff line number Diff line change
Expand Up @@ -32,19 +32,20 @@ on:
description: 'Set custom run ID. If not provided, github.run_id will be used'
type: string
default: ''

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

env:
HOST_PIP_CACHE_DIR: /nvme/github-actions/pip-cache
HOST_LOCALTIME: /usr/share/zoneinfo/Asia/Shanghai
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
REPORT_DIR: /nvme/qa_test_models/evaluation_report/allure_report/${{ inputs.repo_ref }}_${{ github.run_id }}
COV_PARAM: --cov /opt/py3/lib/python3.10/site-packages/lmdeploy
FAIL_CONFIG: '--lf'
TEST_CODE_PATH: /nvme/qa_test_models/test_pkg/lmdeploy/${{ inputs.repo_ref }}_${{ github.run_id }}
OFFLINE_CODE_PATH: /nvme/qa_test_models/offline_pkg/lmdeploy
OFFLINE_REQUIREMENTS: /nvme/qa_test_models/offline_pkg/requirements.txt
DEEPSEEK_VL: /nvme/qa_test_models/offline_pkg/DeepSeek-VL
COMPASS_DATA_CACHE: /nvme/qa_test_models/compass_data_cache
HF_DATASETS_OFFLINE: 1
HF_DATASETS_CACHE: /nvme/qa_test_models/hf_datasets
Expand All @@ -54,7 +55,7 @@ env:

jobs:
linux-build:
if: ${{ !cancelled() }}
if: ${{github.event_name == 'schedule' || (!cancelled() && !inputs.offline_mode)}}
strategy:
matrix:
pyver: [py310]
Expand Down
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
name: api_eval_h800
name: api_eval_legacy

on:
workflow_dispatch:
Expand Down Expand Up @@ -32,31 +32,32 @@ on:
description: 'Set custom run ID. If not provided, github.run_id will be used'
type: string
default: ''
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


env:
HOST_PIP_CACHE_DIR: /nvme/github-actions/pip-cache
HOST_LOCALTIME: /usr/share/zoneinfo/Asia/Shanghai
OUTPUT_FOLDER: cuda12.8_dist_${{ github.run_id }}
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
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ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION can be removed after upgrading action/checkout

REPORT_DIR: /nvme/qa_test_models/evaluation_report/allure_report/${{ inputs.repo_ref }}_${{ github.run_id }}
COV_PARAM: --cov /opt/py3/lib/python3.10/site-packages/lmdeploy
FAIL_CONFIG: '--lf'
TEST_CODE_PATH: /nvme/qa_test_models/test_pkg/lmdeploy/${{ inputs.repo_ref }}_${{ github.run_id }}
OFFLINE_CODE_PATH: /nvme/qa_test_models/offline_pkg/lmdeploy
OFFLINE_REQUIREMENTS: /nvme/qa_test_models/offline_pkg/requirements.txt
DEEPSEEK_VL: /nvme/qa_test_models/offline_pkg/DeepSeek-VL
COMPASS_DATA_CACHE: /nvme/qa_test_models/compass_data_cache
HF_DATASETS_OFFLINE: 1
HF_DATASETS_CACHE: /nvme/qa_test_models/hf_datasets
HF_HUB_OFFLINE: 1
HF_EVALUATE_OFFLINE: 1
RUN_ID: ${{ inputs.repo_ref }}_${{ github.run_id }}
TEST_ENV: h800
TEST_ENV: legacy

jobs:
linux-build:
if: ${{ !cancelled() }}
if: ${{github.event_name == 'schedule' || (!cancelled() && !inputs.offline_mode)}}
strategy:
matrix:
pyver: [py310]
Expand All @@ -67,8 +68,20 @@ jobs:
DOCKER_TAG: cuda12.8
OUTPUT_FOLDER: cuda12.8_dist_${{ github.run_id }}
steps:
- name: Free disk space
uses: jlumbroso/free-disk-space@main
with:
# This might remove tools that are actually needed, if set to "true" but frees about 6 GB
tool-cache: false
docker-images: false
# All of these default to true, but feel free to set to "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
swap-storage: false
- name: Checkout repository
uses: actions/checkout@v3
uses: actions/checkout@v6
with:
repository: ${{ github.event.inputs.repo_org || 'InternLM/lmdeploy' }}
ref: ${{github.event.inputs.repo_ref || 'main'}}
Expand All @@ -90,56 +103,95 @@ jobs:
retention-days: 1
name: my-artifact-${{ github.run_id }}-${{ matrix.pyver }}

test_evaluation:

download_pkgs:
needs: linux-build
if: ${{ !cancelled() }}
runs-on: [self-hosted, h800-r1]
timeout-minutes: 2400
strategy:
fail-fast: false
matrix:
backend: ${{ fromJSON(inputs.backend || '["turbomind", "pytorch"]')}}
if: ${{!cancelled()}}
runs-on: [self-hosted, linux-a100]
timeout-minutes: 50
container:
image: m.daocloud.io/docker.io/openmmlab/lmdeploy:latest-cu12.8
image: openmmlab/lmdeploy:latest-cu12.8
options: "--gpus=all --ipc=host --user root -e PIP_CACHE_DIR=/root/.cache/pip -e NVIDIA_DISABLE_REQUIRE=1 --pull never"
volumes:
- /nvme/github-actions/pip-cache:/root/.cache/pip
- /nvme/github-actions/packages:/root/packages
- /nvme/github-actions/resources:/root/resources
- /nvme/github-actions/opencompass-data:/root/opencompass-data
- /nvme/qa_test_models:/nvme/qa_test_models
- /nvme1/qa_test_models:/nvme1/qa_test_models
- /nvme2/share:/nvme2/share
- /mnt/158_nvme2:/mnt/158_nvme2
- /mnt/158_nvme3:/mnt/158_nvme3
- /mnt/158_nvme4:/mnt/158_nvme4
- /mnt/121:/mnt/121
- /mnt/104:/mnt/104
- /usr/share/zoneinfo/Asia/Shanghai:/etc/localtime:ro
steps:
- name: Create and change to _wk directory
run: |
echo "Working directory set to: $(pwd)"
- name: Clone repository
uses: actions/checkout@v2
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May use "actions/checkout@v6"

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Is cloning the repo needed here in download_pkgs?

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
if: ${{github.event_name == 'schedule' || !inputs.offline_mode}}
run: rm -rf ${{env.TEST_CODE_PATH}} && mkdir ${{env.TEST_CODE_PATH}} && chmod 777 ${{env.TEST_CODE_PATH}} && cp -r . ${{env.TEST_CODE_PATH}}
- name: Copy repository - offline
if: ${{inputs.offline_mode}}
run: rm -rf ${{env.TEST_CODE_PATH}} && mkdir ${{env.TEST_CODE_PATH}} && chmod 777 ${{env.TEST_CODE_PATH}} && cp -r ${{env.OFFLINE_CODE_PATH}}/. ${{env.TEST_CODE_PATH}}
- 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: Copy Artifacts
if: ${{github.event_name == 'schedule' || !inputs.offline_mode}}
run: rm ${{env.TEST_CODE_PATH}}/lmdeploy-*.whl -f && cp lmdeploy-*.whl ${{env.TEST_CODE_PATH}}
- name: Copy Artifacts - offline
if: ${{inputs.offline_mode}}
run: rm ${{env.TEST_CODE_PATH}}/lmdeploy-*.whl -f && cp ${{env.OFFLINE_CODE_PATH}}/lmdeploy-*.whl ${{env.TEST_CODE_PATH}}
- name: Mark as start
run: |
chmod -R 777 ${{env.TEST_CODE_PATH}}
mkdir ${{env.REPORT_DIR}} -p
echo "starttime=$(date +%s)" > ${{env.REPORT_DIR}}/status.txt
Comment on lines +147 to +148
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The mkdir and echo commands are repeated three times. In test_evaluation, the second call (L200) overwrites the first (L180). Suggest removing the redundancy and keeping only the necessary write.


test_evaluation:
needs: download_pkgs
if: ${{ !cancelled() }}
runs-on: [self-hosted, linux-a100]
timeout-minutes: 7200
strategy:
fail-fast: false
matrix:
backend: ${{ fromJSON(inputs.backend || '["turbomind", "pytorch"]')}}
gpu_num: ['gpu_num_1', 'gpu_num_2', 'gpu_num_4', 'gpu_num_8']
container:
image: openmmlab/lmdeploy:latest-cu12.8
options: "--gpus=all --ipc=host --user root -e PIP_CACHE_DIR=/root/.cache/pip -e NVIDIA_DISABLE_REQUIRE=1 --pull never"
volumes:
- /nvme/github-actions/pip-cache:/root/.cache/pip
- /nvme/github-actions/packages:/root/packages
- /nvme/github-actions/resources:/root/resources
- /nvme/qa_test_models:/nvme/qa_test_models
- /nvme/huggingface_hub:/nvme/huggingface_hub
- /mnt/121:/mnt/121
- /mnt/104:/mnt/104
- /mnt/bigdisk:/mnt/bigdisk
- /usr/share/zoneinfo/Asia/Shanghai:/etc/localtime:ro
steps:
- name: Copy repository and Artifacts
run: |
cp -r ${{env.TEST_CODE_PATH}}/. .
mkdir ${{env.REPORT_DIR}} -p
echo "starttime=$(date +%s)" > ${{env.REPORT_DIR}}/status.txt
- name: Install lmdeploy - dependency
run: |
python3 -m pip install -r ${{env.OFFLINE_REQUIREMENTS}}
python3 -m pip install -r /nvme/qa_test_models/offline_pkg/requirements.txt
- name: Install lmdeploy
run: |
python3 -m pip install lmdeploy-*.whl --no-deps
python3 -m pip uninstall lmdeploy -y && python3 -m pip install lmdeploy-*.whl --no-deps
python3 -m pip install -r requirements/test.txt
- name: Install opencompass
run: |
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Should we consider pinning OC to a fixed version instead of using the latest?

python3 -m pip install opencompass
git clone https://github.com/open-compass/opencompass.git --depth 1
cd opencompass
python3 -m pip install .
python3 -m pip install langdetect
- name: Check env
run: |
pip install transformers==4.57.6
python3 -m pip list
lmdeploy check_env
mkdir ${{env.REPORT_DIR}} -p
Expand All @@ -148,17 +200,15 @@ jobs:
if: (matrix.backend == 'pytorch' || matrix.backend == 'turbomind')
run: |
overall_exit=0
ln -s /nvme/qa_test_models/resource/opencompass-data/data ./data
ln -s /mnt/104/opencompass-data/data ./data
ln -s /nvme/qa_test_models/resource/nltk_data /usr/share/nltk_data
execution_mode="${{ github.event.inputs.execution_mode || 'both' }}"
ulimit -n 65535
if [ "$execution_mode" = "both" ] || [ "$execution_mode" = "infer" ]; then
pytest autotest/evaluate/test_api_evaluate.py -m "gpu_num_1 and ${{matrix.backend}} and infer" -n 8 --alluredir=${{env.REPORT_DIR}} || overall_exit=$?
pytest autotest/evaluate/test_api_evaluate.py -m "gpu_num_2 and ${{matrix.backend}} and infer" -n 4 --alluredir=${{env.REPORT_DIR}} || overall_exit=$?
pytest autotest/evaluate/test_api_evaluate.py -m "gpu_num_4 and ${{matrix.backend}} and infer" -n 2 --alluredir=${{env.REPORT_DIR}} || overall_exit=$?
pytest autotest/evaluate/test_api_evaluate.py -m "gpu_num_8 and ${{matrix.backend}} and infer" -n 1 --alluredir=${{env.REPORT_DIR}} || overall_exit=$?
pytest autotest/evaluate/test_api_evaluate.py -m "${{matrix.gpu_num}} and ${{matrix.backend}} and infer" --alluredir=${{env.REPORT_DIR}} || overall_exit=$?
fi
if [ "$execution_mode" = "both" ] || [ "$execution_mode" = "eval" ]; then
pytest autotest/evaluate/test_api_evaluate.py -m "${{matrix.backend}} and eval" -n 4 --alluredir=${{env.REPORT_DIR}} || overall_exit=$?
pytest autotest/evaluate/test_api_evaluate.py -m "${{matrix.gpu_num}} and ${{matrix.backend}} and eval" -n 4 --alluredir=${{env.REPORT_DIR}} || overall_exit=$?
fi
exit $overall_exit
- name: Clear workspace
Expand Down
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