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train_efnet_lovedecoder.py
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train_efnet_lovedecoder.py
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import torch.nn as nn
from module.nas.nasdecoder import parallel_block
from configs.base.floodnet import train, test, data, optimizer, learning_rate
config = dict(
model=dict(
type='NasNet',
params=dict(
encoder=dict(
name='efficientnet-b3',
in_channels=3,
depth=5,
weights='imagenet',
nas_weights='./logs/floodnet/efnetb3_lovedecoder/efnetb3_floodnet_60k.pth',
),
include_os2=False,
parse_decoder=dict(
in_strides=(4, 8, 16, 32),
in_channels=(32, 48, 136, 384),
channels=384,
cell_fn=parallel_block,
connect_map='./searched_archs/floodnet/efnetb3_lovedecoder/c4.npy',
ops_map='./searched_archs/floodnet/efnetb3_lovedecoder/p3.npy',
),
head=dict(
in_channels=384,
out_channels=128,
in_feat_output_strides=(4, 8, 16, 32),
out_feat_output_stride=4,
norm_fn=nn.BatchNorm2d,
),
classes=10,
loss=dict(
ce=dict()
)
)
),
data=data,
optimizer=optimizer,
learning_rate=learning_rate,
train=train,
test=test
)