Source code for pythae.models.normalizing_flows.iaf.iaf_config

from pydantic.dataclasses import dataclass

from ..base import BaseNFConfig


[docs]@dataclass class IAFConfig(BaseNFConfig): """This is the MADE model configuration instance. Parameters: input_dim (tuple): The input data dimension. Default: None. n_made_blocks (int): The number of MADE model to consider in the IAF. Default: 2. n_hidden_in_made (int): The number of hidden layers in the MADE models. Default: 3. hidden_size (list): The number of unit in each hidder layer. The same number of units is used across the `n_hidden_in_made` and `n_made_blocks`. Default: 128. include_batch_norm (bool): Whether to include batch normalization after each :class:`~pythae.models.normalizing_flows.MADE` layers. Default: False. """ n_made_blocks: int = 2 n_hidden_in_made: int = 3 hidden_size: int = 128 include_batch_norm: bool = False