fixing FedAvg in workflow interface tutorials to be compatible with latest numpy stable release (1.24.3) #836
Workflow file for this run
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| # This workflow will install Python dependencies, run tests and lint with a single version of Python | |
| # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions | |
| name: FeTS Challenge TaskRunner | |
| on: | |
| pull_request: | |
| branches: [ develop ] | |
| permissions: | |
| contents: read | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - name: Set up Python 3.8 | |
| uses: actions/setup-python@v3 | |
| with: | |
| python-version: "3.8" | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install . | |
| - name: Setup FeTS Challenge Prerequisites | |
| uses: actions/checkout@master | |
| with: | |
| repository: CBICA/GaNDLF | |
| ref: 0.0.14 | |
| fetch-depth: 1 | |
| path: fets_challenge | |
| - name: FeTS Challenge Task Runner Test | |
| run: | | |
| cd fets_challenge | |
| pwd | |
| pip install torch==1.8.2+cpu torchvision==0.9.2+cpu torchaudio===0.8.2 -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html | |
| pip install onnx==1.12.0 | |
| pip install -e . | |
| # Download data and Split CSVs into training and validation | |
| python -c "from testing.test_full import test_generic_download_data, test_generic_constructTrainingCSV; test_generic_download_data(); test_generic_constructTrainingCSV()" | |
| head -n 1 testing/data/train_3d_rad_segmentation.csv > /home/runner/work/openfl/openfl/seg_test_val.csv | |
| tail -n +9 testing/data/train_3d_rad_segmentation.csv >> /home/runner/work/openfl/openfl/seg_test_val.csv | |
| head -n 8 testing/data/train_3d_rad_segmentation.csv > /home/runner/work/openfl/openfl/seg_test_train.csv | |
| cd /home/runner/work/openfl/openfl | |
| ls | |
| python -m tests.github.test_fets_challenge --template fets_challenge_seg_test --fed_workspace aggregator --col1 col1 --col2 col2 --rounds-to-train 1 | |