Decoder

class aixd.mlmodel.architecture.decoders.Decoder(*args: Any, **kwargs: Any)

Bases: Module

Decoder module of the conditional (variational) autoencoder.

Parameters:

• in_heads (Dict[str, nn.Module]) – Dictionary of input heads, where the keys are strings and the values are PyTorch modules.

• out_heads (Dict[str, nn.Module]) – Dictionary of output heads, where the keys are strings and the values are PyTorch modules.

• layer_widths (List[int]) – List of integer values representing the widths of the hidden layers in the decoder.

• latent_dim (int) – Integer value representing the latent dimension of the model.

• activation (Union[nn.Module, str]) – nn.Module or string representing the activation function to be used in the hidden layers of the decoder.

Methods

forward	Forward pass of the decoder.
summary	Prints a summary of a PyTorch model, including the number of parameters, the layers, their names, and the dimensionality.