# Functions
New returns a new Model.
NewBlock returns a new Block.
NewPreNorm returns a new PreNorm.
NewResidual returns a new Residual.
# Structs
Block is the core model of the gMLP.
BlockConfig provides configuration parameters for a single Block of the gMLP Model.
Config provides configuration parameters for a the gMLP Model.
Model contains the serializable parameters.
PreNorm is a helper model to perform pre-normalization.
Residual is a helper model to perform residual connections.