"--task",
type=str,
default="twotargets",
- help="byheart, learnop, guessop, 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=" ")
parser.add_argument("--expr_input_file", type=str, default=None)
+##############################
+# Misc
+
+parser.add_argument("--degradation_hard", action="store_true", default=False)
+
######################################################################
args = parser.parse_args()
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
+ "degradation": {
+ "model": "37M",
+ "batch_size": 25,
+ "nb_train_samples": 100000,
+ "nb_test_samples": 10000,
+ },
"mnist": {
"model": "37M",
"batch_size": 10,
device=device,
)
+elif args.task == "degradation":
+ task = tasks.SandBox(
+ 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,
+ logger=log_string,
+ device=device,
+ )
+
elif args.task == "addition":
task = tasks.SandBox(
problem=problems.ProblemAddition(),