use pip for all RL stuff #78

	name: GPU Image
	on:
	workflow_dispatch: null
	push:
	paths: ['images/Dockerfile.gpu', 'images/rl-env.yml', 'images/spatial-env.yml', 'images/jupyter-ai.yml']
	jobs:
	build:
	runs-on: ubuntu-latest
	permissions: write-all
	steps:
	# For biggish images, github actions runs out of disk space.
	# So we cleanup some unwanted things in the disk image, and reclaim that space for our docker use
	# https://github.com/actions/virtual-environments/issues/2606#issuecomment-772683150
	# and https://github.com/easimon/maximize-build-space/blob/b4d02c14493a9653fe7af06cc89ca5298071c66e/action.yml#L104
	# This gives us a total of about 52G of free space, which should be enough for now
	- name: cleanup disk space
	run: \|
	sudo rm -rf /usr/local/lib/android /usr/share/dotnet /opt/ghc
	df -h
	- uses: actions/checkout@v3
	- name: Login to GitHub Container Registry
	if: github.repository == 'boettiger-lab/k8s'
	uses: docker/login-action@v1
	with:
	registry: ghcr.io
	username: ${{github.actor}}
	password: ${{secrets.GITHUB_TOKEN}}
	- name: Build the Docker image
	if: github.repository == 'boettiger-lab/k8s'
	run: docker build images/ -f images/Dockerfile.gpu --tag ghcr.io/boettiger-lab/k8s-gpu:latest
	- name: Publish
	if: github.repository == 'boettiger-lab/k8s'
	run: docker push ghcr.io/boettiger-lab/k8s-gpu:latest

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