"--task",
type=str,
default="twotargets",
- help="byheart, learnop, guessop, twocuts, twotargets, addition, picoclvr, mnist, maze, snake, stack, expr, rpl, grid, qmlp",
+ help="byheart, learnop, guessop, degradation, twotargets, addition, picoclvr, mnist, maze, snake, stack, expr, rpl, grid, qmlp",
)
parser.add_argument("--log_filename", type=str, default="train.log", help=" ")
##############################
# Misc
-parser.add_argument("--twocuts_no_global", action="store_true", default=False)
+parser.add_argument("--degradation_hard", action="store_true", default=False)
######################################################################
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
- "twocuts": {
+ "degradation": {
"model": "37M",
"batch_size": 25,
"nb_train_samples": 100000,
device=device,
)
-elif args.task == "twocuts":
+elif args.task == "degradation":
task = tasks.SandBox(
- problem=problems.ProblemTwoCuts(global_constraint = not args.twocuts_no_global),
+ problem=problems.ProblemDegradation(hard=args.degradation_hard),
nb_train_samples=args.nb_train_samples,
nb_test_samples=args.nb_test_samples,
batch_size=args.batch_size,