def __init__(self, manager, task_id, sub_ids=None, dry_run=False, resubmit=False):
		self.__manager = manager
		self.__task	= self.__manager.load_task(task_id)
		self.__sub_ids = sub_ids
		self.__dry_run = dry_run
		self.__resubmit = resubmit

		self.__logger = logging.getLogger('JSUB')
		if self.__sub_ids==None:
			self.__sub_ids=range(len(self.__task.data['jobvar']))

		self.__initialize_manager()
def make_data(cuda=False):
    train_x = torch.linspace(0, 1, 100)
    train_y = torch.sin(train_x * (2 * pi))
    train_y.add_(torch.randn_like(train_y), alpha=1e-2)
    test_x = torch.rand(51)
    test_y = torch.sin(test_x * (2 * pi))
    if cuda:
        train_x = train_x.cuda()
        train_y = train_y.cuda()
        test_x = test_x.cuda()
        test_y = test_y.cuda()
    return train_x, train_y, test_x, test_y