InHeadConv2D

class aixd.mlmodel.architecture.heads.InHeadConv2D(*args: Any, **kwargs: Any)

Bases: InHeadConv

Convolutional Network for encoding spatially strucured (image-like) data in 2 dimensions.

Parameters:

• in_shape (int) – The shape of the input data.

• latent_dims (List[int]) – A list of integers representing the dimensions of the latent space. The length of the sequence defines the number of layers.

• activation (Union[nn.Module, str]) – The activation function to use.

• attn_block_indices (List[int], optional, default=[]) – Sequence of indices where to insert an attention layer in the encoding blocks.

Inherited Methods

forward