GitAuto: 技術書展などに向けたドキュメント生成 #304
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name: test-ubuntu | |
on: | |
# push/pullrequest時にci実行 | |
push: | |
branches: [master] | |
pull_request: | |
paths-ignore: | |
- '.gitignore' | |
- 'LICENSE' | |
- '**.md' | |
# 環境変数 | |
env: | |
BRANCH_NAME : "master" | |
jobs: | |
build: | |
runs-on: ubuntu-latest | |
strategy: | |
matrix: | |
python-version: ['3.9', '3.10'] # [3.5, 3.6, 3.7, 3.8] | |
steps: | |
- name: checkout repository | |
uses: actions/checkout@v3 | |
with: | |
path: target_dir | |
- name: Set up Python ${{ matrix.python-version }} | |
uses: actions/setup-python@v4 | |
with: | |
python-version: ${{ matrix.python-version }} | |
- name: Install dependencies | |
run: | | |
sudo apt-get update | |
python -m pip install --upgrade pip | |
pip install flake8 pytest | |
sudo apt-get install -y python3-pip | |
pip3 install --upgrade pip | |
sudo apt-get install -y git | |
sudo apt-get install -y jq | |
sudo apt-get install -y libegl1-mesa | |
- name: tetris_sample | |
working-directory: target_dir | |
# tetrisが動くかどうか確認(SCOREが入ればOK) | |
run: | | |
# QT display off | |
export QT_QPA_PLATFORM=offscreen | |
# run tetris | |
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi | |
python start.py -m sample -t 3 -f $HOME/result.json | |
# check result | |
jq . $HOME/result.json | |
SCORE=`jq ."judge_info"."score" $HOME/result.json` | |
echo "SCORE: $SCORE" | |
if [ $SCORE -lt 0 ]; then echo "error";exit 1; fi | |
- name: tetris_DQN_sample | |
working-directory: target_dir | |
run: | | |
# QT display off | |
export QT_QPA_PLATFORM=offscreen | |
# run tetris | |
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi | |
if [ -f requirements.pytorch.txt ]; then pip install -r requirements.pytorch.txt; fi | |
python start.py -m predict_sample -l 2 -t 5 --predict_weight weight/DQN/sample_weight.pt -f $HOME/result_dqn.json | |
# check result | |
jq . $HOME/result_dqn.json | |
SCORE=`jq ."judge_info"."score" $HOME/result_dqn.json` | |
echo "SCORE: $SCORE" | |
if [ $SCORE -lt 0 ]; then echo "error";exit 1; fi | |
- name: tetris_MLP_sample | |
working-directory: target_dir | |
run: | | |
# QT display off | |
export QT_QPA_PLATFORM=offscreen | |
# run tetris | |
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi | |
if [ -f requirements.pytorch.txt ]; then pip install -r requirements.pytorch.txt; fi | |
python start.py -m predict_sample2 -l 2 -t 5 --predict_weight weight/MLP/sample_weight.pt -f $HOME/result_mlp.json | |
# check result | |
jq . $HOME/result_mlp.json | |
SCORE=`jq ."judge_info"."score" $HOME/result_mlp.json` | |
echo "SCORE: $SCORE" | |
if [ $SCORE -lt 0 ]; then echo "error";exit 1; fi | |
- name: tetris_DQN_sample3 | |
working-directory: target_dir | |
run: | | |
# QT display off | |
export QT_QPA_PLATFORM=offscreen | |
# run tetris | |
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi | |
if [ -f requirements.pytorch.txt ]; then pip install -r requirements.pytorch.txt; fi | |
python start.py -m predict_sample3 -l 2 -t 5 --predict_weight weight/DQN/sample_weight.pt -f $HOME/result_dqn.json | |
# check result | |
jq . $HOME/result_dqn.json | |
SCORE=`jq ."judge_info"."score" $HOME/result_dqn.json` | |
echo "SCORE: $SCORE" | |
if [ $SCORE -lt 0 ]; then echo "error";exit 1; fi | |