projects
/
picoclvr.git
/ commitdiff
commit
grep
author
committer
pickaxe
?
search:
re
summary
|
shortlog
|
log
|
commit
| commitdiff |
tree
raw
|
patch
|
inline
| side by side (parent:
2ec38da
)
Update.
author
François Fleuret
<francois@fleuret.org>
Mon, 31 Jul 2023 02:37:15 +0000
(16:37 -1000)
committer
François Fleuret
<francois@fleuret.org>
Mon, 31 Jul 2023 02:37:15 +0000
(16:37 -1000)
main.py
patch
|
blob
|
history
diff --git
a/main.py
b/main.py
index
dbdf89d
..
8081850
100755
(executable)
--- a/
main.py
+++ b/
main.py
@@
-113,11
+113,11
@@
parser.add_argument("--picocvlr_prune_properties", type=str, default="none")
##############################
# Maze options
##############################
# Maze options
-parser.add_argument("--maze_height", type=int, default=
2
3)
+parser.add_argument("--maze_height", type=int, default=
1
3)
-parser.add_argument("--maze_width", type=int, default=
39
)
+parser.add_argument("--maze_width", type=int, default=
21
)
-parser.add_argument("--maze_nb_walls", type=int, default=
4
5)
+parser.add_argument("--maze_nb_walls", type=int, default=
1
5)
##############################
# Snake options
##############################
# Snake options
@@
-173,37
+173,37
@@
if args.result_dir is None:
default_task_args = {
"byheart": {
"model": "37M",
default_task_args = {
"byheart": {
"model": "37M",
- "nb_epochs":
5
,
+ "nb_epochs":
2
,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"learnop": {
"model": "37M",
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"learnop": {
"model": "37M",
- "nb_epochs": 5,
+ "nb_epochs":
1
5,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"guessop": {
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"guessop": {
- "model": "
12
2M",
+ "model": "
35
2M",
"nb_epochs": 5,
"batch_size": 25,
"nb_epochs": 5,
"batch_size": 25,
- "nb_train_samples":
25
0000,
+ "nb_train_samples":
100
0000,
"nb_test_samples": 10000,
},
"twotargets": {
"model": "37M",
"nb_test_samples": 10000,
},
"twotargets": {
"model": "37M",
- "nb_epochs":
5
,
+ "nb_epochs":
10
,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"addition": {
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"addition": {
- "model": "
12
2M",
- "nb_epochs": 5,
+ "model": "
35
2M",
+ "nb_epochs": 5
0
,
"batch_size": 25,
"batch_size": 25,
- "nb_train_samples": 50000,
+ "nb_train_samples":
2
50000,
"nb_test_samples": 10000,
},
"picoclvr": {
"nb_test_samples": 10000,
},
"picoclvr": {
@@
-224,35
+224,35
@@
default_task_args = {
"model": "37M",
"nb_epochs": 25,
"batch_size": 5,
"model": "37M",
"nb_epochs": 25,
"batch_size": 5,
- "nb_train_samples":
25
0000,
+ "nb_train_samples":
10
0000,
"nb_test_samples": 10000,
},
"snake": {
"model": "37M",
"nb_epochs": 5,
"batch_size": 25,
"nb_test_samples": 10000,
},
"snake": {
"model": "37M",
"nb_epochs": 5,
"batch_size": 25,
- "nb_train_samples": 50000,
+ "nb_train_samples":
2
50000,
"nb_test_samples": 10000,
},
"stack": {
"model": "37M",
"nb_test_samples": 10000,
},
"stack": {
"model": "37M",
- "nb_epochs": 5,
+ "nb_epochs":
1
5,
"batch_size": 25,
"nb_train_samples": 100000,
"nb_test_samples": 1000,
},
"expr": {
"batch_size": 25,
"nb_train_samples": 100000,
"nb_test_samples": 1000,
},
"expr": {
- "model": "3
7
M",
- "nb_epochs":
40
,
+ "model": "3
52
M",
+ "nb_epochs":
25
,
"batch_size": 25,
"batch_size": 25,
- "nb_train_samples":
10
00000,
+ "nb_train_samples":
25
00000,
"nb_test_samples": 10000,
},
"rpl": {
"nb_test_samples": 10000,
},
"rpl": {
- "model": "3
7
M",
- "nb_epochs":
4
0,
- "batch_size":
25
,
- "nb_train_samples":
1
00000,
+ "model": "3
52
M",
+ "nb_epochs":
5
0,
+ "batch_size":
10
,
+ "nb_train_samples":
25
00000,
"nb_test_samples": 10000,
},
"world": {
"nb_test_samples": 10000,
},
"world": {