pr_run_test #452
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name: pr_run_test | |
on: | |
pull_request: | |
branches: | |
- "main" | |
paths-ignore: | |
- "docs/**" | |
- "**.md" | |
workflow_dispatch: | |
schedule: | |
- cron: '56 01 * * *' | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | |
cancel-in-progress: true | |
env: | |
BASE_SCORE: '{"MMBench_V11_MINI":{"Qwen2-VL-7B-Instruct":0.8727272727272727,"InternVL2_5-8B":0.89090909,"llava_onevision_qwen2_7b_si":0.8363636363636363},"MMStar_MINI":{"Qwen2-VL-7B-Instruct":0.6266666666666667,"InternVL2_5-8B":0.6333333333333333,"llava_onevision_qwen2_7b_si":0.49333333333333335},"AI2D_MINI":{"Qwen2-VL-7B-Instruct":0.7975708502024291,"InternVL2_5-8B":0.854251012145749,"llava_onevision_qwen2_7b_si":0.8178137651821862},"OCRBench_MINI":{"Qwen2-VL-7B-Instruct":16.6,"InternVL2_5-8B":16.7,"llava_onevision_qwen2_7b_si":13.0}}' | |
HF_HUB_CACHE: /fs-computility/llm/shared/llmeval/models/opencompass_hf_hub | |
HF_HUB_OFFLINE: 1 | |
CONDA_PATH: /fs-computility/llm/qa-llm-cicd/miniconda3 | |
CONDA_ENV: vlm_pr_test | |
jobs: | |
vlm_test: | |
if: ${{!cancelled()}} | |
runs-on: [volc_cu12_mllm] | |
strategy: | |
fail-fast: false | |
matrix: | |
model: [Qwen/Qwen2-VL-7B-Instruct,OpenGVLab/InternVL2_5-8B,lmms-lab/llava-onevision-qwen2-7b-si] | |
dataset: ["MMBench_V11_MINI MMStar_MINI AI2D_MINI","OCRBench_MINI"] | |
steps: | |
- name: clone_repo | |
uses: actions/checkout@v3 | |
- name: evaluation_model | |
uses: nick-fields/retry@v3 | |
with: | |
max_attempts: 3 | |
timeout_minutes: 30 | |
command: | | |
. ${{env.CONDA_PATH}}/bin/activate | |
conda activate ${{env.CONDA_ENV}} | |
pip uninstall vlmeval -y | |
pip install -e . | |
pre_model=$(echo ${{matrix.model}} | awk -F'/' '{print $1}') | |
if [ "${{matrix.model}}" = "lmms-lab/llava-onevision-qwen2-7b-si" ];then | |
model_name="llava_onevision_qwen2_7b_si" | |
else | |
model_name=$(echo ${{matrix.model}} | awk -F'/' '{print $2}') | |
fi | |
pip list | |
nvidia-smi | |
LOG=$(python run.py --data ${{matrix.dataset}} --model $model_name 2>&1) | |
echo "$LOG" | |
if echo "$LOG" | grep -q "CUDA out of memory"; then | |
sleep 300 | |
exit 1 # retry becuase of oom | |
fi | |
- name: assert_result | |
run: | | |
. ${{env.CONDA_PATH}}/bin/activate | |
conda activate ${{env.CONDA_ENV}} | |
if [ "${{matrix.model}}" = "lmms-lab/llava-onevision-qwen2-7b-si" ];then | |
model_name="llava_onevision_qwen2_7b_si" | |
else | |
model_name=$(echo ${{matrix.model}} | awk -F'/' '{print $2}') | |
fi | |
python .github/scripts/assert_score.py --dataset "${{matrix.dataset}}" --base_score $BASE_SCORE --model-name $model_name |