dannysauer / environments

Determined AI public environments

Determined AI Public Environments

This repository contains scripts and configurations used to build Determined environment images and deploy them to AWS. To configure a custom image based off an existing Determined image, clone this repository and modify the necessary files/scripts.

Files

• Dockerfile.cpu is the main build script for CPU images
• Dockerfile.gpu is the main build script for GPU images
• /scripts contains scripts for publishing Docker images to repositories
• /dockerfile_scripts contains package installation and patch helper scripts for building external packages
• Makefile contains Docker build commands and top-level Docker image configurations (e.g. tags, build arguments, registry info)

Run

To build a custom image:

• Modify an existing recipe in Makefile or define a new command.
• Add/modify any additional scripts needed for the image build
• run make {build_name}

To publish an image:

• Add a publish target or modify an existing recipe
• Change registry info (DOCKERHUB_REGISTRY and NGC_REGISTRY) in Makefile or specify make args
• run make {publish-target} DOCKERHUB_REGISTRY={registry}

Multi-platform images

We use Docker Buildx to create multi-platform CPU images. Although docker buildx is more powerful than the ordinary docker build, it has a limitation: to build a multi-platform image you have to use docker-container driver that does not allow to export an image so that appears in docker images (see https://docs.docker.com/engine/reference/commandline/buildx_build/#output). You can only push an image directly to a registry (using --push option). As a consequence, if you want to test dockerfile changes locally for one of the multi-platform images (currently, Base CPU, TF 2.7 CPU, and TF 2.8 CPU), without pushing to a docker registry, you have to modify Makefile or craft your own build command to build a single-platform image.

For example, to build the base image for linux/arm64 (to use on a Mac with M1 processor):

# the default builder uses docker driver
# confirm this with
docker buildx ls

docker buildx build -f Dockerfile-default-cpu \
  --platform linux/arm64 \
 	--build-arg BASE_IMAGE="ubuntu:18.04" \
	--build-arg PYTHON_VERSION="$(PYTHON_VERSION)" \
	-t $(DOCKERHUB_REGISTRY)/$(CPU_PY_38_BASE_NAME)-$(SHORT_GIT_HASH) \
	-t $(DOCKERHUB_REGISTRY)/$(CPU_PY_38_BASE_NAME)-$(VERSION) \
   -o type=image,push=false \
  .