Switch to containerized CI using Conda #63
Workflow file for this run
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name: Regression tests | |
on: | |
workflow_dispatch: | |
pull_request: | |
branches: ['develop'] | |
paths: | |
- .github/workflows/regressiontests.yml | |
- superdsm/** | |
- examples/** | |
- superdsm.yml | |
- tests/regression | |
- requirements.txt | |
jobs: | |
regression_tests: | |
name: "Test: ${{ matrix.taskdir }}" | |
timeout-minutes: 1440 | |
runs-on: gpuagrohr-01 | |
container: | |
image: ubuntu:22.04 | |
defaults: | |
run: | |
shell: bash -el {0} | |
strategy: | |
fail-fast: false | |
matrix: | |
taskdir: | |
- U2OS | |
- NIH3T3 | |
- GOWT1-1 | |
- GOWT1-2 | |
steps: | |
- name: Checkout | |
uses: actions/checkout@v2 | |
- name: Setup Miniconda | |
uses: conda-incubator/setup-miniconda@v2 | |
with: | |
miniconda-version: 'latest' | |
channels: conda-forge, bioconda, defaults | |
auto-update-conda: true | |
auto-activate-base: false | |
activate-environment: superdsm | |
environment-file: superdsm.yml | |
- name: Download image data | |
run: | | |
cd examples | |
python load_data.py | |
- name: Run SuperDSM | |
run: | | |
python -m "superdsm.batch" examples --task-dir "${{ matrix.taskdir }}" | |
python -m "superdsm.batch" examples --task-dir "${{ matrix.taskdir }}" --run | |
env: | |
SUPERDSM_INTERMEDIATE_OUTPUT: false | |
SUPERDSM_NUM_CPUS: 20 | |
- name: Validate results | |
id: validation | |
run: | | |
mkdir "actual_csv" | |
sh "tests/regression/validate-${{ matrix.taskdir }}.sh" "actual_csv" | |
- name: Upload artifact | |
if: failure() && steps.validation.outcome != 'success' | |
uses: actions/upload-artifact@v3 ## v4 requires GLIBC_2.28 which is not found on host | |
with: | |
name: Results ${{ matrix.taskdir }} | |
path: actual_csv/${{ matrix.taskdir }} |