qualia_codegen_core.graph.layers.TBatchNormalizationLayer module

class qualia_codegen_core.graph.layers.TBatchNormalizationLayer.TBatchNormalizationLayer(input_shape: 'Shapes', output_shape: 'Shapes', output_dtype: 'DTypes', name: 'str', activation: 'TActivation', mean: 'NDArrayFloatOrInt', variance: 'NDArrayFloatOrInt', gamma: 'NDArrayFloatOrInt', beta: 'NDArrayFloatOrInt', epsilon: 'NDArrayFloatOrInt', _kernel: 'NDArrayFloatOrInt | None' = None, _bias: 'NDArrayFloatOrInt | None' = None)[source]

Bases: TBaseLayer

activation: TActivation

mean: ndarray[tuple[Any, ...], dtype[floating[Any]]] | ndarray[tuple[Any, ...], dtype[integer[Any]]]

variance: ndarray[tuple[Any, ...], dtype[floating[Any]]] | ndarray[tuple[Any, ...], dtype[integer[Any]]]

gamma: ndarray[tuple[Any, ...], dtype[floating[Any]]] | ndarray[tuple[Any, ...], dtype[integer[Any]]]

beta: ndarray[tuple[Any, ...], dtype[floating[Any]]] | ndarray[tuple[Any, ...], dtype[integer[Any]]]

epsilon: ndarray[tuple[Any, ...], dtype[floating[Any]]] | ndarray[tuple[Any, ...], dtype[integer[Any]]]

property kernel: ndarray[tuple[Any, ...], dtype[floating[Any]]] | ndarray[tuple[Any, ...], dtype[integer[Any]]]

property bias: ndarray[tuple[Any, ...], dtype[floating[Any]]] | ndarray[tuple[Any, ...], dtype[integer[Any]]]

property weights: OrderedDict[str, ndarray[tuple[Any, ...], dtype[floating[Any]]] | ndarray[tuple[Any, ...], dtype[integer[Any]]]]