from pydantic.dataclasses import dataclass
from ..base import BaseNFConfig
[docs]@dataclass
class MAFConfig(BaseNFConfig):
"""This is the Masked Autoregressive Flows 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 MAF. 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`
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