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added Siemens_mMR_ACR2 #120

added Siemens_mMR_ACR2

added Siemens_mMR_ACR2 #120

Workflow file for this run

name: run
on:
push:
branches: ['**']
tags: ['**']
paths-ignore: ['.gitignore', 'LICENSE*', 'LICENCE*', 'README.md', 'SIRF_data_preparation/*']
jobs:
check:
runs-on: ubuntu-latest
env:
dataset: NeuroLF_Esser_Dataset
image: ghcr.io/synerbi/sirf:petric2-base
steps:
- uses: actions/checkout@v6
- uses: jlumbroso/free-disk-space@v1.3.1
with: {docker-images: false, tool-cache: true}
- name: Download test data
run: |
curl -fsSLO https://petric.tomography.stfc.ac.uk/data-raw/2/${dataset}.zip
mkdir -p data; cd data; unzip -u ../${dataset}.zip
- run: docker pull ${image}
- name: test
run: |
docker run --rm --user $(id -u):$(id -g) --group-add users -i -v .:/w -w /w ${image} bash <<EOD
source /opt/SIRF-SuperBuild/INSTALL/bin/env_sirf.sh
# Install dependencies
pip install git+https://github.com/TomographicImaging/Hackathon-000-Stochastic-QualityMetrics
if test -f apt.txt; then
sudo apt-get update
xargs -a apt.txt sudo apt-get install -y
fi
if test -f environment.yml; then
sed -i '/^name:.*/d' environment.yml
conda env update -n base
fi
if test -f requirements.txt; then
pip install -r requirements.txt
fi
conda list
# overwrite any potential user changes
curl -fsSLO https://raw.githubusercontent.com/SyneRBI/PETRIC2/main/petric.py
# ensure main.py exists
test -f main.py || ln -s main_ISTA.py main.py
# Test imports
python <<EOF
from main import Submission, submission_callbacks
from cil.optimisation.algorithms import Algorithm
assert issubclass(Submission, Algorithm)
assert isinstance(submission_callbacks, list)
assert all(callable(callback) for callback in submission_callbacks)
EOF
EOD
full:
if: startsWith(github.ref, 'refs/tags')
runs-on: [self-hosted, docker, cuda]
steps:
- uses: actions/checkout@v6
with: {fetch-depth: 0, submodules: recursive}
- run: petric