in lib/models/conv.py [0:0]
def forward(self, z):
x = self.deconv1(z.view(-1,self.n_in,1,1))
if self.batchnorm:
x = self.deconv1_bn(x)
x = self.activation(x)
x = self.deconv2(x)
if self.batchnorm:
x = self.deconv2_bn(x)
x = self.activation(x)
x = self.deconv3(x)
if self.batchnorm:
x = self.deconv3_bn(x)
x = self.activation(x)
x = self.deconv4(x)
if self.batchnorm:
x = self.deconv4_bn(x)
x = self.activation(x)
x = F.tanh(self.deconv5(x))
return x