Fix harness stuck #48
Workflow file for this run
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name: LLM Harness Evalution | |
# Cancel previous runs in the PR when you push new commits | |
concurrency: | |
group: ${{ github.workflow }}-llm-nightly-test-${{ github.event.pull_request.number || github.run_id }} | |
cancel-in-progress: true | |
# Controls when the action will run. | |
on: | |
# schedule: | |
# - cron: "00 13 * * *" # GMT time, 13:00 GMT == 21:00 China | |
pull_request: | |
branches: [main] | |
paths: | |
- ".github/workflows/llm-harness-evaluation.yml" | |
# Allows you to run this workflow manually from the Actions tab | |
workflow_dispatch: | |
# A workflow run is made up of one or more jobs that can run sequentially or in parallel | |
jobs: | |
llm-cpp-build: | |
uses: ./.github/workflows/llm-binary-build.yml | |
llm-nightly-harness-test: | |
needs: llm-cpp-build | |
strategy: | |
fail-fast: false | |
matrix: | |
python-version: ["3.9"] | |
model_name: [stablelm-3b-4e1t] | |
task: ["truthfulqa"] | |
precision: ["int4"] | |
runs-on: [self-hosted, llm, accuracy, temp-arc01] | |
env: | |
ANALYTICS_ZOO_ROOT: ${{ github.workspace }} | |
steps: | |
- name: Set model and dataset directories | |
shell: bash | |
run: | | |
echo "ORIGIN_DIR=/mnt/disk1/models" >> "$GITHUB_ENV" | |
echo "HARNESS_HF_HOME=/mnt/disk1/harness_home" >> "$GITHUB_ENV" | |
- uses: actions/checkout@v3 | |
- name: Set up Python ${{ matrix.python-version }} | |
uses: actions/setup-python@v4 | |
with: | |
python-version: ${{ matrix.python-version }} | |
- name: Install dependencies | |
shell: bash | |
run: | | |
python -m pip install --upgrade pip | |
python -m pip install --upgrade setuptools==58.0.4 | |
python -m pip install --upgrade wheel | |
- name: Download llm binary | |
uses: ./.github/actions/llm/download-llm-binary | |
- name: Run LLM install (all) test | |
uses: ./.github/actions/llm/setup-llm-env | |
with: | |
extra-dependency: "xpu" | |
- name: Install harness | |
shell: bash | |
run: | | |
cd python/llm/dev/benchmark/harness/ | |
git clone https://github.com/EleutherAI/lm-evaluation-harness.git | |
cd lm-evaluation-harness | |
git checkout e81d3cc | |
pip install -e . | |
git apply ../bigdl-llm.patch | |
cd .. | |
- name: Download models and datasets | |
shell: bash | |
run: | | |
echo "MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/" >> "$GITHUB_ENV" | |
MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/ | |
if [ ! -d $HARNESS_HF_HOME ]; then | |
mkdir -p $HARNESS_HF_HOME | |
wget -r -nH -l inf --no-verbose --cut-dirs=2 ${LLM_FTP_URL}/llm/LeaderBoard_Datasets/ -P $HARNESS_HF_HOME/ | |
fi | |
if [ ! -d $MODEL_PATH ]; then | |
wget -r -nH --no-verbose --cut-dirs=1 ${LLM_FTP_URL}/llm/${{ matrix.model_name }} -P ${ORIGIN_DIR} | |
fi | |
- name: Set datasets env | |
shell: bash | |
run: | | |
echo "HF_HOME=$HARNESS_HF_HOME" >> "$GITHUB_ENV" | |
echo "HF_DATASETS=$HARNESS_HF_HOME/datasets" >> "$GITHUB_ENV" | |
echo "HF_DATASETS_CACHE=$HARNESS_HF_HOME/datasets" >> "$GITHUB_ENV" | |
- name: Run harness | |
shell: bash | |
run: | | |
export USE_XETLA=OFF | |
source /opt/intel/oneapi/setvars.sh | |
cd python/llm/dev/benchmark/harness | |
python llb.py --model bigdl-llm --pretrained ${MODEL_PATH} --precision ${{ matrix.precision }} --device xpu --tasks ${{ matrix.task }} --output_dir results/${{ matrix.model_name }} --batch 1 |