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[Feature] Add daily test case (#864)
* add daily test case * Update pr-run-test.yml * Update daily-run-test.yml * Update daily-run-test.yml * Update pr-run-test.yml --------- Co-authored-by: zhulin1 <[email protected]>
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import csv | ||
import os | ||
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import pytest | ||
import yaml | ||
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output_path = 'regression_result_daily' | ||
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model_list = ['internlm-7b-hf', 'internlm-chat-7b-hf'] | ||
dataset_list = ['ARC-c', 'chid-dev', 'chid-test', 'openai_humaneval'] | ||
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@pytest.fixture() | ||
def baseline_scores(request): | ||
config_path = os.path.join(request.config.rootdir, | ||
'.github/scripts/oc_score_baseline.yaml') | ||
with open(config_path) as f: | ||
config = yaml.load(f.read(), Loader=yaml.SafeLoader) | ||
return config | ||
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@pytest.fixture() | ||
def result_scores(): | ||
file = find_csv_files(output_path) | ||
if file is None: | ||
return None | ||
return read_csv_file(file) | ||
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@pytest.mark.usefixtures('result_scores') | ||
@pytest.mark.usefixtures('baseline_scores') | ||
class TestChat: | ||
"""Test cases for chat model.""" | ||
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@pytest.mark.parametrize('model, dataset', [(p1, p2) for p1 in model_list | ||
for p2 in dataset_list]) | ||
def test_demo_default(self, baseline_scores, result_scores, model, | ||
dataset): | ||
base_score = baseline_scores.get(model).get(dataset) | ||
result_score = result_scores.get(model).get(dataset) | ||
assert_score(result_score, base_score) | ||
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def assert_score(score, baseline): | ||
if score is None or score == '-': | ||
assert False, 'value is none' | ||
if float(score) < (baseline * 1.03) and float(score) > (baseline * 0.97): | ||
print(score + ' between ' + str(baseline * 0.97) + ' and ' + | ||
str(baseline * 1.03)) | ||
assert True | ||
else: | ||
assert False, score + ' not between ' + str( | ||
baseline * 0.97) + ' and ' + str(baseline * 1.03) | ||
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def find_csv_files(directory): | ||
csv_files = [] | ||
for root, dirs, files in os.walk(directory): | ||
for file in files: | ||
if file.endswith('.csv'): | ||
csv_files.append(os.path.join(root, file)) | ||
if len(csv_files) > 1: | ||
raise 'have more than 1 result file, please check the result manually' | ||
if len(csv_files) == 0: | ||
return None | ||
return csv_files[0] | ||
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def read_csv_file(file_path): | ||
with open(file_path, 'r') as csvfile: | ||
reader = csv.DictReader(csvfile) | ||
filtered_data = [] | ||
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for row in reader: | ||
filtered_row = { | ||
k: v | ||
for k, v in row.items() | ||
if k not in ['version', 'metric', 'mode'] | ||
} | ||
filtered_data.append(filtered_row) | ||
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result = {} | ||
for data in filtered_data: | ||
dataset = data.get('dataset') | ||
for key in data.keys(): | ||
if key == 'dataset': | ||
continue | ||
else: | ||
if key in result.keys(): | ||
result.get(key)[dataset] = data.get(key) | ||
else: | ||
result[key] = {dataset: data.get(key)} | ||
return result |
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internlm-7b-hf: | ||
ARC-c: 36.27 | ||
chid-dev: 81.68 | ||
chid-test: 83.67 | ||
openai_humaneval: 10.37 | ||
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internlm-chat-7b-hf: | ||
ARC-c: 36.95 | ||
chid-dev: 71.78 | ||
chid-test: 76.87 | ||
openai_humaneval: 21.34 |
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name: daily_run_test | ||
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on: | ||
workflow_dispatch: | ||
schedule: | ||
- cron: '56 16 * * *' | ||
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concurrency: | ||
group: ${{ github.workflow }}-${{ github.ref }} | ||
cancel-in-progress: true | ||
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env: | ||
CONDA_ENV: opencompass_regression | ||
PIP_CACHE_PATH: /cpfs01/user/qa-llm-cicd/.cache/pip | ||
USERSPACE_PREFIX: /cpfs01/user/qa-llm-cicd | ||
HF_CACHE_PATH: /cpfs01/shared/public/public_hdd/llmeval/model_weights/hf_hub | ||
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jobs: | ||
daily_run_test: | ||
runs-on: self-hosted | ||
environment: 'prod' | ||
timeout-minutes: 240 #4hours | ||
steps: | ||
- name: Clone repository | ||
uses: actions/checkout@v2 | ||
- name: Prepare - create conda env and install torch | ||
run: | | ||
eval "$(conda shell.bash hook)" | ||
conda create -y --name ${{env.CONDA_ENV}} python=3.10 | ||
conda activate ${{env.CONDA_ENV}} | ||
pip install torch torchvision torchaudio --cache-dir ${{env.PIP_CACHE_PATH}} --index-url https://download.pytorch.org/whl/cu118 | ||
conda info --envs | ||
- name: Prepare - Pip install code | ||
run: | | ||
eval "$(conda shell.bash hook)" | ||
conda activate ${{env.CONDA_ENV}} | ||
pip install -e . --cache-dir ${{env.PIP_CACHE_PATH}} | ||
pip install human_eval transformers==4.33.0 --cache-dir ${{env.PIP_CACHE_PATH}} | ||
conda info --envs | ||
- name: Prepare - prepare data and hf model | ||
run: | | ||
cp -r ${{env.USERSPACE_PREFIX}}/data . | ||
rm -rf ~/.cache/huggingface/hub -f && mkdir ~/.cache -p && mkdir ~/.cache/huggingface -p | ||
ln -s ${{env.HF_CACHE_PATH}} ~/.cache/huggingface/hub | ||
export HF_DATASETS_OFFLINE=1; export TRANSFORMERS_OFFLINE=1; | ||
- name: Run test | ||
run: | | ||
eval "$(conda shell.bash hook)" | ||
conda activate ${{env.CONDA_ENV}} | ||
conda info --envs | ||
rm -rf regression_result_daily | ||
export from_tf=TRUE | ||
python3 run.py --models hf_internlm_chat_7b hf_internlm_7b --datasets FewCLUE_chid_ppl humaneval_gen ARC_c_ppl --work-dir regression_result_daily --debug | ||
- name: Get result | ||
run: | | ||
pip install pytest --cache-dir ${{env.PIP_CACHE_PATH}} | ||
pytest -s -v --color=yes .github/scripts/oc_score_assert.py | ||
- name: Remove Conda Env | ||
if: always() | ||
run: | | ||
eval "$(conda shell.bash hook)" | ||
conda env remove --name ${{env.CONDA_ENV}} | ||
conda info --envs | ||
notify_to_feishu: | ||
if: ${{ always() && !cancelled() && contains(needs.*.result, 'failure') && (github.ref_name == 'develop' || github.ref_name == 'main') }} | ||
needs: [daily_run_test] | ||
environment: 'prod' | ||
timeout-minutes: 5 | ||
runs-on: self-hosted | ||
steps: | ||
- name: notify | ||
run: | | ||
curl -X POST -H "Content-Type: application/json" -d '{"msg_type":"post","content":{"post":{"zh_cn":{"title":"Opencompass- pr test failed","content":[[{"tag":"text","text":"branch: ${{github.ref_name}}, run action: ${{github.workflow}} failed. "},{"tag":"a","text":"Please click here for details ","href":"https://github.com/'${{ github.repository }}'/actions/runs/'${GITHUB_RUN_ID}'"},{"tag":"at","user_id":"'${{ secrets.USER_ID }}'"}]]}}}}' ${{ secrets.WEBHOOK_URL }} |
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