def __init__(self): self.encoder1 = nn.GMLP_struct() self.encoder2 = nn.GMLP_struct() self.encoder3 = nn.NN_struct() self.decoder1 = nn.GMLP_struct() self.decoder2 = nn.GMLP_struct() self.DomainClassifier = nn.NN_struct()
def __init__(self): # Encoders self.encoder1 = nn.GMLP_struct( ) # GMLP = Gaussian MLP w/ share, mu, and sigma layers self.encoder2 = nn.GMLP_struct() # Bottleneck? self.encoder3 = nn.NN_struct( ) # layer dim, activation, learning rate, decay # Decoders self.decoder1 = nn.GMLP_struct() self.decoder2 = nn.GMLP_struct()
def __init__(self): self.encoder1 = nn.GMLP_struct() self.encoder2 = nn.GMLP_struct() self.encoder3 = nn.GMLP_struct() self.encoder4 = nn.GMLP_struct() self.encoder5 = nn.NN_struct() self.encoderX = nn.NN_struct() #phantom self.decoder1 = nn.GMLP_struct() self.decoder2 = nn.GMLP_struct() self.decoder3 = nn.GMLP_struct()
def __init__(self): self.encoder1 = nn.GMLP_struct() self.encoder2 = nn.GMLP_struct() self.encoder3 = nn.NN_struct() self.decoder1 = nn.GMLP_struct() self.decoder2 = nn.GMLP_struct()