qualia_plugin_som.learningmodel.pytorch.layers.NormalizeMinMax module

class qualia_plugin_som.learningmodel.pytorch.layers.NormalizeMinMax.NormalizeMinMax[source]

Bases: Module

__init__(device: device | None = None, dtype: dtype | None = None) → None[source]

Parameters:

device (device | None)
dtype (dtype | None)

Return type:

None

update_min_max(x: Tensor) → None[source]

Parameters:: x (Tensor)
Return type:: None

normalize_min_max(x: Tensor, min_val: Tensor, reciprocal_divisor: Tensor) → Tensor[source]

Parameters:

x (Tensor)
min_val (Tensor)
reciprocal_divisor (Tensor)

Return type:

forward(input: Tensor) → Tensor[source]

Parameters:: input (Tensor)
Return type:: Tensor

property reciprocal_divisor: Tensor