qualia_codegen_core.graph.layers.TBatchNormalizationLayer module

class qualia_codegen_core.graph.layers.TBatchNormalizationLayer.TBatchNormalizationLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.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: NDArrayFloatOrInt

variance: NDArrayFloatOrInt

gamma: NDArrayFloatOrInt

beta: NDArrayFloatOrInt

epsilon: NDArrayFloatOrInt

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

input_shape: Shapes

output_shape: Shapes

output_dtype: DTypes

name: str

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

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