Setting compress_layer: True, train DAN module Failed.

[maxh2010]

My image size is [3, 128, 256]
Setting compress_layer as True
When run python train.py -c config/DAN.yml
Error message is :
assert (scales[i-1][1] / scales[i][1]) % 1 == 0, 'layer scale error from {} to {}'.format(i-1, scales[i-1][1] , i, scales[i][1])
AssertError: layer scale error from 1 32 to 2 30

But change compress_layer to False
python train.py -c config/DAN.yml process is running well

[maxh2010]

if i change
DAN.py
if compress_layer:
# for handwritten
self.layer6 = nn.Sequential(
nn.Conv2d(512, 256, kernel_size=(3, 1), padding=(0, 0), stride=(1, 1)),
nn.BatchNorm2d(256),
nn.ReLU(inplace = True))
to
if compress_layer:
# for handwritten
self.layer6 = nn.Sequential(
nn.Conv2d(512, 256, kernel_size=(1, 1), padding=(0, 0), stride=(1, 1)),
nn.BatchNorm2d(256),
nn.ReLU(inplace = True))

and
DAN.yml
CAM:
depth: 8
num_channel: 512
to
CAM:
depth: 8
num_channel: 256

training process can run well.

What does the compress_layer plan to do ?
i didn't find any information from