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nas_resnet_lovedecoder.py
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nas_resnet_lovedecoder.py
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import torch.nn as nn
from configs.base.floodnet import train, test, data, optimizer, learning_rate
from module.nas.nasdecoder import parallel_block
config = dict(
model=dict(
type='NasNet',
params=dict(
encoder=dict(
name='resnet50',
in_channels=3,
depth=5,
weights='imagenet'
),
include_os2=False,
nas_decoder=dict(
in_strides=(4, 8, 16, 32),
in_channels=(256, 512, 1024, 2048),
channels=256,
stacked_nums=2,
normalized_fusion='fast_normalize',
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=10,
loss=dict(
ce=dict()
)
)
),
data=data,
optimizer=optimizer,
learning_rate=learning_rate,
train=train,
test=test
)