def forward()

in vae.py [0:0]

• 11 lines of code
• 2 McCabe index (conditional complexity)

    def forward(self, x, x_target):
        activations = self.encoder.forward(x)
        px_z, stats = self.decoder.forward(activations)
        distortion_per_pixel = self.decoder.out_net.nll(px_z, x_target)
        rate_per_pixel = torch.zeros_like(distortion_per_pixel)
        ndims = np.prod(x.shape[1:])
        for statdict in stats:
            rate_per_pixel += statdict['kl'].sum(dim=(1, 2, 3))
        rate_per_pixel /= ndims
        elbo = (distortion_per_pixel + rate_per_pixel).mean()
        return dict(elbo=elbo, distortion=distortion_per_pixel.mean(), rate=rate_per_pixel.mean())