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]