-
Notifications
You must be signed in to change notification settings - Fork 2
/
train_resnet_lovedecoder.py
43 lines (43 loc) · 1.33 KB
/
train_resnet_lovedecoder.py
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
import torch.nn as nn
from module.nas.nasdecoder import parallel_block
from configs.base.loveda import train, test, data, optimizer, learning_rate
config = dict(
model=dict(
type='NasNet',
params=dict(
encoder=dict(
name='resnet50',
in_channels=3,
depth=5,
weights='imagenet',
nas_weights_path='./logs/loveda/resnet50_lovedecoder/resnet50_loveda_30k.pth',
),
include_os2=False,
parse_decoder=dict(
in_strides=(4, 8, 16, 32),
in_channels=(256, 512, 1024, 2048),
channels=256,
connect_map='./searched_archs/resnet50_lovedecoder/c3.npy',
ops_map='./searched_archs/resnet50_lovedecoder/p2.npy',
cell_fn=parallel_block,
),
head=dict(
in_channels=256,
out_channels=128,
in_feat_output_strides=(4, 8, 16, 32),
out_feat_output_stride=4,
norm_fn=nn.BatchNorm2d,
num_groups_gn=None
),
classes=7,
loss=dict(
ce=dict()
)
)
),
data=data,
optimizer=optimizer,
learning_rate=learning_rate,
train=train,
test=test
)