"--task",
type=str,
default="twotargets",
- help="byheart, learnop, guessop, degradation, twotargets, addition, picoclvr, mnist, maze, snake, stack, expr, rpl, grid, qmlp",
+ help="byheart, learnop, guessop, mixing, 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("--degradation_hard", action="store_true", default=False)
+parser.add_argument("--mixing_hard", action="store_true", default=False)
######################################################################
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
- "degradation": {
+ "mixing": {
"model": "37M",
"batch_size": 25,
"nb_train_samples": 250000,
device=device,
)
-elif args.task == "degradation":
+elif args.task == "mixing":
task = tasks.SandBox(
- problem=problems.ProblemDegradation(hard=args.degradation_hard),
+ problem=problems.ProblemMixing(hard=args.mixing_hard),
nb_train_samples=args.nb_train_samples,
nb_test_samples=args.nb_test_samples,
batch_size=args.batch_size,