realnvp_cifar_gen(pretrained: bool = False, overrides: object = {})RealNVP generator for CIFAR-10 (bits/dim loss + .generate()).
Same bijection as realnvp_cifar, wrapped with the paper's
training objective — exact negative log-likelihood reported in bits
per dimension — and single-pass ancestral sampling.
Model Size
Parameters
pretrainedbool= FalseReserved for future weight registration; currently a no-op.
**overridesobject= {}Optional
RealNVPConfig field overrides forwarded into
the underlying config.Returns
RealNVPForImageGenerationGenerator configured with the CIFAR-10 setup.
Notes
Reference: Dinh, Sohl-Dickstein, and Bengio, "Density Estimation Using Real NVP", ICLR, 2017 (arXiv:1605.08803). Reported: 3.49 bits/dim.
Examples
>>> from lucid.models.generative.realnvp import realnvp_cifar_gen
>>> model = realnvp_cifar_gen().eval()
>>> model.generate(n_samples=2).samples.shape
(2, 3, 32, 32)