def stop_tensorboard(project_name, project_uuid, tensorboard_job_name,
tensorboard_job_uuid):
spawner = TensorboardSpawner(project_name=project_name,
project_uuid=project_uuid,
job_name=tensorboard_job_name,
job_uuid=tensorboard_job_uuid,
k8s_config=settings.K8S_CONFIG,
namespace=settings.K8S_NAMESPACE,
in_cluster=True)
spawner.stop_tensorboard()
def stop_tensorboard(tensorboard, update_status=False):
spawner = TensorboardSpawner(project_name=tensorboard.project.unique_name,
project_uuid=tensorboard.project.uuid.hex,
job_name=tensorboard.unique_name,
job_uuid=tensorboard.uuid.hex,
k8s_config=settings.K8S_CONFIG,
namespace=settings.K8S_NAMESPACE,
in_cluster=True)
spawner.stop_tensorboard()
if update_status:
# Update experiment status to show that its stopped
tensorboard.set_status(status=JobLifeCycle.STOPPED,
message='Tensorboard was stopped')
def stop_tensorboard(project_name, project_uuid, tensorboard_job_name,
tensorboard_job_uuid):
spawner = TensorboardSpawner(project_name=project_name,
project_uuid=project_uuid,
job_name=tensorboard_job_name,
job_uuid=tensorboard_job_uuid,
k8s_config=conf.get('K8S_CONFIG'),
namespace=conf.get('K8S_NAMESPACE'),
in_cluster=True)
return spawner.stop_tensorboard()
