# ab.baselayers¶

Base Classes for Layers.

class aboleth.baselayers.Layer

Bases: object

Layer base class.

This is an identity layer, and is primarily meant to be subclassed to construct more intersting layers.

__call__(X)

Construct the subgraph for this layer.

Parameters: X (Tensor) – the input to this layer Net (Tensor) – the output of this layer KL (float, Tensor) – the regularizer/Kullback Leibler ‘cost’ of the parameters in this layer.
class aboleth.baselayers.LayerComposite(*layers)

Composition of Layers.

Parameters: *layers – the layers to compose. All must be of type Layer.
__call__(X)

Construct the subgraph for this layer.

Parameters: X (Tensor) – the input to this layer Net (Tensor) – the output of this layer KL (float, Tensor) – the regularizer/Kullback Leibler ‘cost’ of the parameters in this layer.
class aboleth.baselayers.MultiLayer

Bases: object

Base class for layers that take multiple inputs as kwargs.

This is an Abstract class as there is no canonical identity for this layer (because it must do some kind of reduction).

__call__(**kwargs)

Construct the subgraph for this layer.

Parameters: **kwargs – the inputs to this layer (Tensors) Net (Tensor) – the output of this layer KL (float, Tensor) – the regularizer/Kullback Leibler ‘cost’ of the parameters in this layer.
class aboleth.baselayers.MultiLayerComposite(*layers)

Composition of MultiLayers.

Parameters: *layers – the layers to compose. First layer must be of type Multilayer, subsequent layers must be of type Layer.
__call__(**kwargs)

Construct the subgraph for this layer.

Parameters: **kwargs – the inputs to this layer (Tensors) Net (Tensor) – the output of this layer KL (float, Tensor) – the regularizer/Kullback Leibler ‘cost’ of the parameters in this layer.
aboleth.baselayers.stack(l, *layers)

Stack multiple Layers.

This is a convenience function that acts as an alternative to the rshift operator implemented for Layers and Multilayers. It is syntatically more compact for stacking large numbers of layers or lists of layers.

The type of stacking (Layer or Multilayer) is dispatched on the first argument.

Parameters: l (Layer or MultiLayer) – The first layer to stack. The type of this layer determines the type of the output; MultiLayerComposite or LayerComposite. *layers – list of additional layers to stack. Must all be of type Layer, because function composition only works with the first function having multiple arguments. result – A single layer that is the composition of the input layers.