Refactored split learning for training ControlNet with the latest API. And added reference for PerFedRLNAS. #1530
Workflow file for this run
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| name: MindSpore CI Tests | |
| on: | |
| push: | |
| branches: [main] | |
| pull_request: | |
| branches: [main] | |
| # Allows you to run this workflow manually from the Actions tab | |
| workflow_dispatch: | |
| branches: [main] | |
| jobs: | |
| MindSpore-Tests: | |
| runs-on: ubuntu-20.04 | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v3 | |
| with: | |
| submodules: recursive | |
| - name: Setting up Conda | |
| uses: conda-incubator/setup-miniconda@v2 | |
| with: | |
| miniconda-version: "latest" | |
| auto-update-conda: true | |
| activate-environment: "plato" | |
| - name: Install dependencies | |
| shell: bash -l {0} | |
| run: | | |
| sudo apt-get update | |
| sudo apt install -y python3-pip | |
| conda activate plato | |
| conda install mindspore-cpu -c mindspore -c conda-forge -y | |
| pip3 install numpy python-socketio aiohttp requests boto3 pyyaml datasets | |
| pip3 install Pillow==9.5.0 | |
| - name: Training workloads | |
| shell: bash -l {0} | |
| run: | | |
| conda activate plato | |
| ./run --config=configs/MNIST/fedavg_lenet5_mindspore.yml | |
| ./run --config=configs/MNIST/mistnet_lenet5_mindspore.yml |