61 lines
2.0 KiB
Python
61 lines
2.0 KiB
Python
from networks.auto_encoder import *
|
|
from networks.variational_auto_encoder import *
|
|
from networks.adverserial_auto_encoder import *
|
|
from networks.modules import LightningModule
|
|
from torch.optim import Adam
|
|
from torch.utils.data import DataLoader
|
|
from pytorch_lightning import data_loader
|
|
from dataset import DataContainer
|
|
|
|
from torch.nn import BatchNorm1d
|
|
from pytorch_lightning import Trainer
|
|
|
|
|
|
# ToDo: How to implement this better?
|
|
# other_classes = [AutoEncoder, AutoEncoderLightningOverrides]
|
|
class Model(VariationalAutoEncoderLightningOverrides, LightningModule):
|
|
|
|
def __init__(self, dataParams: dict):
|
|
super(Model, self).__init__()
|
|
self.dataParams = dataParams
|
|
self.network = VariationalAutoEncoder(self.dataParams)
|
|
|
|
def configure_optimizers(self):
|
|
return [Adam(self.parameters(), lr=0.02)]
|
|
|
|
@data_loader
|
|
def tng_dataloader(self):
|
|
return DataLoader(DataContainer('data', **self.dataParams), shuffle=True, batch_size=100)
|
|
|
|
|
|
class AdversarialModel(AdversarialAELightningOverrides, LightningModule):
|
|
|
|
def __init__(self, dataParams: dict):
|
|
super(AdversarialModel, self).__init__()
|
|
self.dataParams = dataParams
|
|
self.normal = Normal(0, 1)
|
|
self.network = AdversarialAutoEncoder(self.dataParams)
|
|
pass
|
|
|
|
# This is Fucked up, why do i need to put an additional empty list here?
|
|
def configure_optimizers(self):
|
|
return [Adam(self.network.discriminator.parameters(), lr=0.02),
|
|
Adam([*self.network.encoder.parameters(), *self.network.decoder.parameters()], lr=0.02)],\
|
|
[]
|
|
|
|
@data_loader
|
|
def tng_dataloader(self):
|
|
return DataLoader(DataContainer('data', **self.dataParams), shuffle=True, batch_size=100)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
features = 6
|
|
ae = AdversarialModel(
|
|
dataParams=dict(refresh=False, size=5, step=5,
|
|
features=features, transforms=[BatchNorm1d(features)]
|
|
)
|
|
)
|
|
|
|
trainer = Trainer()
|
|
trainer.fit(ae)
|