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Fix harness stuck

Fix harness stuck #48

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