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from .utils.model_utils import setup_model | |
def get_latents(net, x, is_cars=False): | |
codes = net.encoder(x) | |
if net.opts.start_from_latent_avg: | |
if codes.ndim == 2: | |
codes = codes + net.latent_avg.repeat(codes.shape[0], 1, 1)[:, 0, :] | |
else: | |
codes = codes + net.latent_avg.repeat(codes.shape[0], 1, 1) | |
if codes.shape[1] == 18 and is_cars: | |
codes = codes[:, :16, :] | |
return codes | |