default=8,
help="the kind of classes in choosing every step")
parser.add_argument('--iter_step',
type=int,
default=20,
help="test acc times")
parser.add_argument('--cls_par', type=float, default=0.3)
parser.add_argument('--epsion', type=float, default=1e-5)
parser.add_argument("--w1", default=0.1, type=float)
parser.add_argument("--w3", default=0.0, type=float)
args = parser.parse_args()
factory = Factory()
args.factory = factory
args.config = factory.ConfigFactory(args.d_name)
os.environ["CUDA_VISIBLE_DEVICES"] = args.gpu_id
SEED = args.seed
torch.manual_seed(SEED)
torch.cuda.manual_seed(SEED)
np.random.seed(SEED)
random.seed(SEED)
args.output_dir_src = osp.join(
args.output, args.d_name,
args.config["domains"][args.s_da_i][0].upper())
if not osp.exists(osp.join(args.output_dir_src, "source_F.pt")):
run_source(args)
run_target(args)