Update ort CIs (slow, gpu, train) #11
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
name: ONNX Runtime Training / Python - Test | |
on: | |
workflow_dispatch: | |
push: | |
branches: | |
- main | |
pull_request: | |
branches: | |
- main | |
types: | |
- opened | |
- reopened | |
- labeled | |
- unlabeled | |
- synchronize | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} | |
cancel-in-progress: true | |
jobs: | |
do-the-job: | |
if: ${{ | |
(github.event_name == 'push') || | |
(github.event_name == 'workflow_dispatch') || | |
contains( github.event.pull_request.labels.*.name, 'training') || | |
contains( github.event.pull_request.labels.*.name, 'onnxruntime-training') | |
}} | |
runs-on: | |
group: aws-g6-4xlarge-plus | |
container: | |
image: nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04 | |
options: --gpus all | |
steps: | |
- name: Checkout | |
uses: actions/checkout@v4 | |
- name: Setup Python | |
uses: actions/setup-python@v5 | |
with: | |
python-version: 3.8 | |
- name: Install dependencies | |
env: | |
TORCH_CUDA_ARCH_LIST: "5.0 6.0 7.0 7.5 8.0 8.6 9.0+PTX" | |
run: | | |
pip install --upgrade pip | |
pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 | |
pip install --no-cache-dir torch-ort onnxruntime-training && python -m torch_ort.configure | |
pip install --no-cache-dir evaluate absl-py rouge_score seqeval sacrebleu nltk scikit-learn | |
pip install .[tests,onnxruntime-gpu] | |
- name: Replace opencv-python with opencv-python-headless | |
run: | | |
pip uninstall -y opencv-python && pip install opencv-python-headless | |
- name: Test with pytest | |
run: | | |
RUN_SLOW=1 pytest tests/onnxruntime/training/nightly_test_trainer.py --durations=0 -s -vvvv | |
RUN_SLOW=1 pytest tests/onnxruntime/training/nightly_test_examples.py --durations=0 -s -vvvv |