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nobrainer/models/__init__.py

@@ -1,14 +1,15 @@
 from .attention_unet import attention_unet
 from .attention_unet_with_inception import attention_unet_with_inception
 from .autoencoder import autoencoder
+from .bayesian_meshnet import variational_meshnet
 from .dcgan import dcgan
 from .highresnet import highresnet
 from .meshnet import meshnet
 from .progressiveae import progressiveae
 from .progressivegan import progressivegan
 from .unet import unet
 from .unetr import unetr
-from .bayesian_meshnet import variational_meshnet
+
 
 def get(name):
     """Return callable that creates a particular `tf.keras.Model`.

nobrainer/models/tests/models_test.py

@@ -7,6 +7,7 @@
 from ..attention_unet import attention_unet
 from ..attention_unet_with_inception import attention_unet_with_inception
 from ..autoencoder import autoencoder
+from ..bayesian_meshnet import variational_meshnet
 from ..bayesian_vnet import bayesian_vnet
 from ..bayesian_vnet_semi import bayesian_vnet_semi
 from ..brainsiam import brainsiam
@@ -19,7 +20,6 @@
 from ..unetr import unetr
 from ..vnet import vnet
 from ..vox2vox import Vox_ensembler, vox_gan
-from ..bayesian_meshnet import variational_meshnet
 
 
 def model_test(model_cls, n_classes, input_shape, kwds={}):