shape error

[iTomxy]

Hi, I'm pretraining the deeplabv2 to generate prototypes on another dataset. I find that the prediction is down-sampled to 33 $\times$ 33 but not up-sampled. Why is that? Did you also down-sample labels? But it seems that you did not down-sample labels before calculating BCE and dice loss in train_UDA.py.

Note that I notice that there is a label_downsample function in train_UDA.py. But it is only used in the update_class_center_iter function, and that does not affect the shape of labels used for BCE and dice loss calculation.

Thanks.

[TFboys-lzz]

we have defined the interp function as:

MPSCL/domain_adaptation/train_UDA.py

Line 189 in bb58bde

interp = nn.Upsample(size=(input_size_source[1], input_size_source[0]), mode='bilinear',

[iTomxy]

Oh, my bad. Thanks. You're really responsive.