def forward_manual_latents()

in vae.py [0:0]


    def forward_manual_latents(self, n, latents, t=None):
        xs = {}
        for bias in self.bias_xs:
            xs[bias.shape[2]] = bias.repeat(n, 1, 1, 1)
        for block, lvs in itertools.zip_longest(self.dec_blocks, latents):
            xs = block.forward_uncond(xs, t, lvs=lvs)
        xs[self.H.image_size] = self.final_fn(xs[self.H.image_size])
        return xs[self.H.image_size]