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.dazelrc
104 lines (102 loc) · 4.63 KB
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.dazelrc
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## The name of the docker container to run.
#DAZEL_INSTANCE_NAME="dazel"
#
## The name of the dazel image to build or pull.
#DAZEL_IMAGE_NAME="dazel"
#
## The command to run when running the image (the continuous command that will
## hold the container active while we connect to it).
#DAZEL_RUN_COMMAND="/bin/bash"
#
## The command to run to invoke docker (can be changed to `nvidia-docker` for GPUs).
#DAZEL_DOCKER_COMMAND="docker"
#
## The path to the Dockerfile to use to build the dazel image.
DAZEL_DOCKERFILE="Dockerfile.dazel" # in DAZEL_DIRECTORY
#
## The repository to pull the dazel image from.
#DAZEL_REPOSITORY="dazel"
#
## The directory to build the dazel image in.
DAZEL_DIRECTORY="$PWD"
#
## The command to run inside the container.
## NOTE: You should add flags to the .bazelrc file instead of here, since it is
## also shared in the volume and it is a much cleaner way.
#DAZEL_COMMAND="/usr/bin/bazel"
#
## Add any additional volumes you want to share between the host and the docker
## container, in the normal "hostdir:dockerdir" format.
## This can be a python iterable, or a comma-separated string.
## If working on windows add drive name to avoid conflicts, e.g.
## DAZEL_VOLUMES = ["C:\\tmp:/C/tmp"]
DAZEL_VOLUMES=['${HOME}:${HOME}', '/tmp:/tmp']
#
## Add any ports you want to publish from the dazel container to the host, in the
## normal "interface:dockerport:hostport" (e.g. "0.0.0.0:80:80").
## This can be useful if you use the "dazel run //my/cool/webserver/target"
## command for example, and need to publish port 80.
#DAZEL_PORTS=[]
#
## Add any environment variables you want to set in the dazel container
## They will be set via -e in the docker run command
## This can be a python iterable, or a comma-separated string.
DAZEL_ENV_VARS=['DISPLAY=$DISPLAY']
#
## The GPUs to expose to the Docker container, "all" for every installed GPU
DAZEL_GPUS="all"
#
## The name of the network on which to load all run dependencies and dazel container.
## If you are using a docker-compose.yml file to load the environment, this must
## be the network name to which all of the necessary dependencies are connected.
#DAZEL_NETWORK="dazel"
#
## Add any additional images that you want to run as dependencies and hook up to
## the same docker network as the main container.
## The format is the standard "repository/image:tag", but you can optionally add
## the name of the container to create with "repository/image:tag::container".
## This is useful if you want to add "postgres" or "rabbitmq" for instance, and
## have them run as part of your test environment in a seamless reproducible way.
## This can be a python iterable, or a comma-separated string.
## Note: alternatively, you can use a docker-compose.yml file for dependencies.
#DAZEL_RUN_DEPS=[]
#
## Add a docker-compose.yml file here to use it to load any services you want to
## launch as part of the environment for running bazel.
## This can be a much more complex environment than what is possible using run
## dependencies.
## Note: you can control both the project name and which services to run with the
## variables below.
#DAZEL_DOCKER_COMPOSE_FILE=""
#
## The command to run to invoke docker-compose (can be changed to
## `nvidia-docker-compose` for GPUs).
#DAZEL_DOCKER_COMPOSE_COMMAND="docker-compose"
#
## If using a docker-compose.yml file, this will set the COMPOSE_PROJECT_NAME
## environment variable and thus the project name.
#DAZEL_DOCKER_COMPOSE_PROJECT_NAME="dazel"
#
## If using a docker-compose.yml file, you can specify the services to run in the
## file (and empty string means all services - as in running: docker-compose up).
## This can be a python iterable, or a comma-separated string.
#DAZEL_DOCKER_COMPOSE_SERVICES=""
#
## Whether or not to run in privileged mode (fixes bazel sandboxing issues on some
## systems). Note that this can be a python boolean equivalent, so if setting
## this from the environment, simply set it to an empty string.
#DAZEL_DOCKER_RUN_PRIVILEGED=False
#
## Path to custom .bazelrc file to use when running the bazel commands.
#DAZEL_BAZEL_RC_FILE=".dazel_bazelrc"
#
## Use the :delegated flag of the --volume option of docker for the bind-mounting of
## the bazel cache directory. This vastly improves throughput on MacOSX.
## More information on the :delegated flag: https://docs.docker.com/docker-for-mac/osxfs-caching/.
## NOTE: This will fail on Docker versions < 17.04.
#DAZEL_DELEGATED_VOLUME=True
#
## The user, in the same format as the --user option docker run and docker exec takes,
## to use when starting the container and executing commands inside of the container
DAZEL_USER="${whoami}"
DAZEL_DOCKER_BUILD_ARGS = '--build-arg USERNAME=`whoami` --build-arg USER_UID=`id -u`'