def stop_leader_server():
"""shutdown all jobs and save a screenshot, then stop the leader server
it will broadcast a message to all follower workers
"""
container_conn = DockerContainerManager()
container_conn.stop()
app_stop()
def start_leader_server(gpu=False):
"""start the system on a leader server in a cluster.
initialize necessary services such as database and monitor
Args:
gpu (bool, optional): [description]. Defaults to False.
"""
# todo: lazy docker start
container_conn = DockerContainerManager(enable_gpu=gpu)
if not container_conn.start():
container_conn.connect()
app_start()
def start_leader_server(gpu=False):
"""start the system on a leader server in a cluster.
initialize necessary services such as database and monitor
Args:
gpu (bool, optional): [description]. Defaults to False.
"""
# todo: lazy docker start
container_conn = DockerContainerManager(enable_gpu=gpu)
if not container_conn.start():
container_conn.connect()
# FIXME: app not started because pytorch imported when this function is called.
# PyTorch and subprocess have conflicts.
app_start()
def remove_services():
"""stop all services and remove downloaded docker images
"""
container_conn = DockerContainerManager()
container_conn.stop()
app_stop()
container_conn.remove_all()
def clean():
"""Stop the ModelCI service and remove all containers."""
# remove all services
container_conn = DockerContainerManager()
container_conn.stop()
app_stop()
container_conn.remove_all()
def stop():
"""Stop the ModelCI service"""
container_conn = DockerContainerManager()
container_conn.stop()
app_stop()
def start(gpu=False):
"""Start the ModelCI service."""
container_conn = DockerContainerManager(enable_gpu=gpu)
if not container_conn.start():
container_conn.connect()
app_start()