"--task",
type=str,
default="twotargets",
- help="file, byheart, learnop, guessop, mixing, memory, twotargets, addition, picoclvr, mnist, maze, snake, stack, expr, rpl, grid, qmlp",
+ help="file, byheart, learnop, guessop, mixing, memory, twotargets, addition, picoclvr, mnist, maze, snake, stack, expr, rpl, grid, qmlp, greed",
)
parser.add_argument("--log_filename", type=str, default="train.log", help=" ")
parser.add_argument("--mixing_deterministic_start", action="store_true", default=False)
+##############################
+# greed options
+
+parser.add_argument("--greed_height", type=int, default=5)
+
+parser.add_argument("--greed_width", type=int, default=7)
+
+parser.add_argument("--greed_T", type=int, default=25)
+
+parser.add_argument("--greed_nb_walls", type=int, default=5)
+
######################################################################
args = parser.parse_args()
"nb_train_samples": 60000,
"nb_test_samples": 10000,
},
+ "greed": {
+ "model": "37M",
+ "batch_size": 25,
+ "nb_train_samples": 25000,
+ "nb_test_samples": 10000,
+ },
}
if args.task in default_task_args:
device=device,
)
+elif args.task == "greed":
+ task = tasks.Greed(
+ nb_train_samples=args.nb_train_samples,
+ nb_test_samples=args.nb_test_samples,
+ batch_size=args.batch_size,
+ height=args.greed_height,
+ width=args.greed_width,
+ T=args.greed_T,
+ nb_walls=args.greed_nb_walls,
+ logger=log_string,
+ device=device,
+ )
+
else:
raise ValueError(f"Unknown task {args.task}")