CIFAR classifiers #37

	name: Test Jupyter Notebook 📓
	on: push
	jobs:
	build-n-deploy:
	name: Test 🔧
	runs-on: ubuntu-18.04
	steps:
	- name: Checkout code 🛎️
	uses: actions/[email protected]
	with:
	persist-credentials: false
	- name: Cache models and data
	uses: actions/cache@v3
	with:
	path: \|
	/home/runner/.cache/torch
	fat_forensics_overview/adult.data
	key: ${{ runner.os }}-data_models
	- name: Set up Python 3.8 🐍
	uses: actions/setup-python@v3
	with:
	python-version: 3.8
	cache: 'pip'
	- name: Install dependencies 💾
	run: \|
	pip install -r requirements-ci.txt
	pip install -r .binder/requirements.txt
	- name: Get PyTorch model
	run: \|
	python -c 'import torchvision.models as models; models.inception_v3(pretrained=True);'
	python -c 'import torchvision.models as models; models.alexnet(pretrained=True);'
	- name: Test computation
	env:
	PYTHONPATH: 'tabular_surrogate_builder:surrogates_overview:pi_ice_pd'
	run: pytest ./.tests
	- name: Test fat_forensics_overview
	run: pytest --nbval fat_forensics_overview/ --sanitize-with .nbval_sanitize_file.cfg
	- name: Test tabular_surrogate_builder
	run: pytest --nbval tabular_surrogate_builder/ --sanitize-with .nbval_sanitize_file.cfg
	- name: Test surrogates_overview
	run: pytest --nbval surrogates_overview/ --sanitize-with .nbval_sanitize_file.cfg
	- name: Test pi_ice_pd
	run: pytest --nbval pi_ice_pd/ --sanitize-with .nbval_sanitize_file.cfg

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