# autoencoder base class

from torch import nn
import torch
import numpy as np
import torchvision.models as models

# resnet18 = models.resnet50()
# TODO
# see https://pytorch.org/tutorials/beginner/finetuning_torchvision_models_tutorial.html

class cnnAutoencoder(object):

    pass
# autoencoder base class

from torch import nn
import torch
import numpy as np
import torchvision.models as models

# resnet18 = models.resnet50()
# TODO
# see https://pytorch.org/tutorials/beginner/finetuning_torchvision_models_tutorial.html

class cnnAutoencoder(object):

    pass
# autoencoder base class # resnet18 = models.resnet50() # TODO # see https://pytorch.org/tutorials/beginner/finetuning_torchvision_models_tutorial.html