-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathconfig.py
More file actions
55 lines (47 loc) · 1.09 KB
/
Copy pathconfig.py
File metadata and controls
55 lines (47 loc) · 1.09 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
# variables
MODEL_SIZE = "medium"
# definitions
n_channels = 3
tiny_model_config = dict(
in_nc=n_channels + 1,
out_nc=n_channels,
nc=[4, 8, 16, 32],
nb=4,
act_mode="R",
downsample_mode="strideconv",
upsample_mode="convtranspose",
)
small_model_config = dict(
in_nc=n_channels + 1,
out_nc=n_channels,
nc=[8, 16, 32, 64],
nb=4,
act_mode="R",
downsample_mode="strideconv",
upsample_mode="convtranspose",
)
medium_model_config = dict(
in_nc=n_channels + 1,
out_nc=n_channels,
nc=[16, 32, 64, 128],
nb=4,
act_mode="R",
downsample_mode="strideconv",
upsample_mode="convtranspose",
)
large_model_config = dict(
in_nc=n_channels + 1,
out_nc=n_channels,
nc=[32, 64, 128, 256],
nb=4,
act_mode="R",
downsample_mode="strideconv",
upsample_mode="convtranspose",
)
model_pool = {
"small": tiny_model_config,
"medium": small_model_config,
"large": medium_model_config,
"baseline": large_model_config,
}
model_config = model_pool[MODEL_SIZE]