Source code for pythae.models.normalizing_flows.made.made_config

from dataclasses import field
from typing import List, Tuple, Union

from pydantic.dataclasses import dataclass
from typing_extensions import Literal

from ..base import BaseNFConfig


[docs]@dataclass class MADEConfig(BaseNFConfig): """This is the MADE model configuration instance. Parameters: input_dim (tuple): The input data dimension. Default: None. output_dim (tuple): The output data dimension. Default: None. hidden_sizes (list): The list of the number of hidden units in the Autoencoder. Default: [128]. degrees_ordering (str): The ordering to use for the mask creation. Can be either `sequential` or `random`. Default: `sequential`. """ output_dim: Union[Tuple[int, ...], None] = None hidden_sizes: List[int] = field(default_factory=lambda: [128]) degrees_ordering: Literal["sequential", "random"] = "sequential"