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()