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Adds pydot and graphviz for plotting model layer graphs #31

Adds pydot and graphviz for plotting model layer graphs

Adds pydot and graphviz for plotting model layer graphs #31

name: Create and publish CUDA-enabled images
on:
push:
branches: main
paths-ignore:
- 'LICENSE'
- 'README.md'
- '.github/workflows/build-deploy.yml'
- '.github/workflows/build-deploy-keras2.yml'
- 'requirements.tf-2.15.0.txt'
release:
types: [published]
env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}
TF_VERSION: 2.17.0
jobs:
build-and-push-pyimage:
permissions:
contents: read
packages: write
uses: ./.github/workflows/build-deploy-py.yml
with:
tf_version: 2.17.0
basedigest: "@sha256:cb1cac983d469ddd8702c382b01a6c02bbb9c9fda1765caf269b38f2d228f9d8"
cuda: true
tag_latest: false
multiplatform: false
image_description: Combines the Docker Stacks tensorflow-notebook and pytorch-notebook containers with CUDA enabled plus jupytext and custom package additions.
build-and-push-image-withR:
needs: build-and-push-pyimage
permissions:
contents: read
packages: write
uses: ./.github/workflows/build-deploy-withR.yml
with:
tf_version: 2.17.0
cuda: true
tag_latest: false
multiplatform: false
image_description: Combines the Docker Stacks tensorflow-notebook, pytorch-notebook, and r-notebook containers with CUDA enabled plus jupytext and custom package additions.