Source code for pythae.models.vae_gan.vae_gan_config

from typing import Tuple, Union

from pydantic.dataclasses import dataclass

from ..vae import VAEConfig


[docs]@dataclass class VAEGANConfig(VAEConfig): """Adversarial AE model config class. Parameters: input_dim (tuple): The input_data dimension. latent_dim (int): The latent space dimension. Default: None. reconstruction_loss (str): The reconstruction loss to use ['bce', 'mse']. Default: 'mse' adversarial_loss_scale (float): Parameter scaling the adversarial loss reconstruction_layer (int): The reconstruction layer depth used for reconstruction metric """ adversarial_loss_scale: float = 0.5 reconstruction_layer: int = -1 uses_default_discriminator: bool = True discriminator_input_dim: Union[Tuple[int, ...], None] = None equilibrium: float = 0.68 margin: float = 0.4