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name: Train root-tissue-segmentation using CPU | |
on: [ push, pull_request ] | |
jobs: | |
run: | |
runs-on: ubuntu-22.04 | |
strategy: | |
matrix: | |
python: [ 3.8 ] | |
steps: | |
- name: Reclaim space | |
run: | | |
sudo rm -rf /usr/share/dotnet | |
sudo rm -rf /opt/ghc | |
- name: Check out source-code repository | |
uses: actions/checkout@v2 | |
- name: Build Docker container | |
uses: docker/build-push-action@v1 | |
with: | |
dockerfile: Dockerfile | |
repository: ghcr.io/qbic-pipelines/root_tissue_segmentation | |
tags: 1.0.0 # <<MLF-CORE_FORCE_BUMP>> | |
push: false | |
- name: Setup Python | |
uses: actions/setup-python@v1 | |
with: | |
python-version: ${{ matrix.python }} | |
- name: Install mlflow | |
run: pip install mlflow==2.10.2 | |
- name: Train on the CPU | |
run: mlflow run . --build-image -A runtime=nvidia -P max_epochs=2 -P gpus=0 |