projects
/
picoclvr.git
/ blobdiff
commit
grep
author
committer
pickaxe
?
search:
re
summary
|
shortlog
|
log
|
commit
|
commitdiff
|
tree
raw
|
inline
| side by side
Update.
[picoclvr.git]
/
main.py
diff --git
a/main.py
b/main.py
index
ff831f4
..
704dff5
100755
(executable)
--- a/
main.py
+++ b/
main.py
@@
-33,7
+33,7
@@
parser.add_argument(
"--task",
type=str,
default="twotargets",
"--task",
type=str,
default="twotargets",
- help="byheart, learnop, guessop, twotargets, addition, picoclvr, mnist, maze, snake, stack, expr, rpl",
+ help="byheart, learnop, guessop, twotargets, addition, picoclvr, mnist, maze, snake, stack, expr, rpl
, grid
",
)
parser.add_argument("--log_filename", type=str, default="train.log", help=" ")
)
parser.add_argument("--log_filename", type=str, default="train.log", help=" ")
@@
-99,6
+99,11
@@
parser.add_argument("--rpl_nb_runs", type=int, default=5)
parser.add_argument("--rpl_no_prog", action="store_true", default=False)
parser.add_argument("--rpl_no_prog", action="store_true", default=False)
+##############################
+# grid options
+
+parser.add_argument("--grid_size", type=int, default=6)
+
##############################
# picoclvr options
##############################
# picoclvr options
@@
-262,6
+267,13
@@
default_task_args = {
"nb_train_samples": 25000,
"nb_test_samples": 1000,
},
"nb_train_samples": 25000,
"nb_test_samples": 1000,
},
+ "grid": {
+ "model": "37M",
+ "nb_epochs": 25,
+ "batch_size": 25,
+ "nb_train_samples": 250000,
+ "nb_test_samples": 10000,
+ },
}
if args.task in default_task_args:
}
if args.task in default_task_args:
@@
-505,6
+517,16
@@
elif args.task == "rpl":
device=device,
)
device=device,
)
+elif args.task == "grid":
+ task = tasks.Grid(
+ nb_train_samples=args.nb_train_samples,
+ nb_test_samples=args.nb_test_samples,
+ batch_size=args.batch_size,
+ size=args.grid_size,
+ logger=log_string,
+ device=device,
+ )
+
elif args.task == "world":
task = tasks.World(
nb_train_samples=args.nb_train_samples,
elif args.task == "world":
task = tasks.World(
nb_train_samples=args.nb_train_samples,