qualia_codegen_core.graph.layers package

Submodules

• qualia_codegen_core.graph.layers.TActivationLayer module
  • TActivation
    • TActivation.RELU
    • TActivation.RELU6
    • TActivation.SOFTMAX
    • TActivation.LINEAR
    • TActivation.IF
  • TActivationLayer
    • TActivationLayer.activation
    • TActivationLayer.input_shape
    • TActivationLayer.output_shape
    • TActivationLayer.output_dtype
    • TActivationLayer.name
• qualia_codegen_core.graph.layers.TAddLayer module
  • TAddLayer
    • TAddLayer.activation
    • TAddLayer.input_shape
    • TAddLayer.output_shape
    • TAddLayer.output_dtype
    • TAddLayer.name
• qualia_codegen_core.graph.layers.TAvgPooling1DLayer module
  • TAvgPooling1DLayer
• qualia_codegen_core.graph.layers.TAvgPooling2DLayer module
  • TAvgPooling2DLayer
• qualia_codegen_core.graph.layers.TAvgPoolingLayer module
  • TAvgPoolingLayer
    • TAvgPoolingLayer.activation
    • TAvgPoolingLayer.pool_size
    • TAvgPoolingLayer.strides
    • TAvgPoolingLayer.input_shape
    • TAvgPoolingLayer.output_shape
    • TAvgPoolingLayer.output_dtype
    • TAvgPoolingLayer.name
• qualia_codegen_core.graph.layers.TBaseLayer module
  • TBaseLayer
    • TBaseLayer.input_shape
    • TBaseLayer.output_shape
    • TBaseLayer.output_dtype
    • TBaseLayer.name
    • TBaseLayer.weights
• qualia_codegen_core.graph.layers.TBatchNormalization1DLayer module
  • TBatchNormalization1DLayer
• qualia_codegen_core.graph.layers.TBatchNormalization2DLayer module
  • TBatchNormalization2DLayer
• qualia_codegen_core.graph.layers.TBatchNormalizationLayer module
  • TBatchNormalizationLayer
    • TBatchNormalizationLayer.activation
    • TBatchNormalizationLayer.mean
    • TBatchNormalizationLayer.variance
    • TBatchNormalizationLayer.gamma
    • TBatchNormalizationLayer.beta
    • TBatchNormalizationLayer.epsilon
    • TBatchNormalizationLayer.kernel
    • TBatchNormalizationLayer.input_shape
    • TBatchNormalizationLayer.output_shape
    • TBatchNormalizationLayer.output_dtype
    • TBatchNormalizationLayer.name
    • TBatchNormalizationLayer.bias
    • TBatchNormalizationLayer.weights
• qualia_codegen_core.graph.layers.TConcatenateLayer module
  • TConcatenateLayer
• qualia_codegen_core.graph.layers.TConv1DLayer module
  • TConv1DLayer
    • TConv1DLayer.padding
    • TConv1DLayer.activation
    • TConv1DLayer.kernel
    • TConv1DLayer.kernel_size
    • TConv1DLayer.strides
    • TConv1DLayer.filters
    • TConv1DLayer.use_bias
    • TConv1DLayer.bias
    • TConv1DLayer.groups
    • TConv1DLayer.input_shape
    • TConv1DLayer.output_shape
    • TConv1DLayer.output_dtype
    • TConv1DLayer.name
• qualia_codegen_core.graph.layers.TConv2DLayer module
  • TConv2DLayer
    • TConv2DLayer.padding
    • TConv2DLayer.activation
    • TConv2DLayer.kernel
    • TConv2DLayer.kernel_size
    • TConv2DLayer.strides
    • TConv2DLayer.filters
    • TConv2DLayer.use_bias
    • TConv2DLayer.bias
    • TConv2DLayer.groups
    • TConv2DLayer.input_shape
    • TConv2DLayer.output_shape
    • TConv2DLayer.output_dtype
    • TConv2DLayer.name
• qualia_codegen_core.graph.layers.TConvLayer module
  • TConvLayer
    • TConvLayer.activation
    • TConvLayer.kernel
    • TConvLayer.kernel_size
    • TConvLayer.strides
    • TConvLayer.filters
    • TConvLayer.use_bias
    • TConvLayer.bias
    • TConvLayer.groups
    • TConvLayer.weights
    • TConvLayer.input_shape
    • TConvLayer.output_shape
    • TConvLayer.output_dtype
    • TConvLayer.name
• qualia_codegen_core.graph.layers.TDenseLayer module
  • TDenseLayer
    • TDenseLayer.activation
    • TDenseLayer.kernel
    • TDenseLayer.units
    • TDenseLayer.use_bias
    • TDenseLayer.bias
    • TDenseLayer.weights
    • TDenseLayer.input_shape
    • TDenseLayer.output_shape
    • TDenseLayer.output_dtype
    • TDenseLayer.name
• qualia_codegen_core.graph.layers.TDropoutLayer module
  • TDropoutLayer
    • TDropoutLayer.p
    • TDropoutLayer.input_shape
    • TDropoutLayer.output_shape
    • TDropoutLayer.output_dtype
    • TDropoutLayer.name
• qualia_codegen_core.graph.layers.TFlattenLayer module
  • TFlattenLayer
• qualia_codegen_core.graph.layers.TIdentityLayer module
  • TIdentityLayer
• qualia_codegen_core.graph.layers.TInputLayer module
  • TInputLayer
• qualia_codegen_core.graph.layers.TMaxPooling1DLayer module
  • TMaxPooling1DLayer
• qualia_codegen_core.graph.layers.TMaxPooling2DLayer module
  • TMaxPooling2DLayer
• qualia_codegen_core.graph.layers.TMaxPoolingLayer module
  • TMaxPoolingLayer
    • TMaxPoolingLayer.activation
    • TMaxPoolingLayer.pool_size
    • TMaxPoolingLayer.strides
    • TMaxPoolingLayer.input_shape
    • TMaxPoolingLayer.output_shape
    • TMaxPoolingLayer.output_dtype
    • TMaxPoolingLayer.name
• qualia_codegen_core.graph.layers.TPermuteLayer module
  • TPermuteLayer
    • TPermuteLayer.dims
    • TPermuteLayer.input_shape
    • TPermuteLayer.output_shape
    • TPermuteLayer.output_dtype
    • TPermuteLayer.name
• qualia_codegen_core.graph.layers.TSampleNormLayer module
  • TSampleNormMode
    • TSampleNormMode.MINMAX
    • TSampleNormMode.ZSCORE
  • TSampleNormLayer
    • TSampleNormLayer.mode
    • TSampleNormLayer.input_shape
    • TSampleNormLayer.output_shape
    • TSampleNormLayer.output_dtype
    • TSampleNormLayer.name
• qualia_codegen_core.graph.layers.TSliceLayer module
  • TSliceLayer
    • TSliceLayer.slices
    • TSliceLayer.input_shape
    • TSliceLayer.output_shape
    • TSliceLayer.output_dtype
    • TSliceLayer.name
• qualia_codegen_core.graph.layers.TSumLayer module
  • TSumLayer
    • TSumLayer.dim
    • TSumLayer.input_shape
    • TSumLayer.output_shape
    • TSumLayer.output_dtype
    • TSumLayer.name
• qualia_codegen_core.graph.layers.TZeroPadding1DLayer module
  • TZeroPadding1DLayer
• qualia_codegen_core.graph.layers.TZeroPadding2DLayer module
  • TZeroPadding2DLayer
• qualia_codegen_core.graph.layers.TZeroPaddingLayer module
  • TZeroPaddingLayer
    • TZeroPaddingLayer.padding
    • TZeroPaddingLayer.input_shape
    • TZeroPaddingLayer.output_shape
    • TZeroPaddingLayer.output_dtype
    • TZeroPaddingLayer.name

Module contents

class qualia_codegen_core.graph.layers.TActivationLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, activation: qualia_codegen_core.graph.layers.TActivationLayer.TActivation)

Bases: TBaseLayer

activation: TActivation

class qualia_codegen_core.graph.layers.TAddLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, activation: qualia_codegen_core.graph.layers.TActivationLayer.TActivation = <TActivation.LINEAR: 3>)

Bases: TBaseLayer

activation: TActivation = 3

class qualia_codegen_core.graph.layers.TAvgPooling1DLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, activation: qualia_codegen_core.graph.layers.TActivationLayer.TActivation, pool_size: tuple[int, ...], strides: tuple[int, ...])

Bases: TAvgPoolingLayer

class qualia_codegen_core.graph.layers.TAvgPooling2DLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, activation: qualia_codegen_core.graph.layers.TActivationLayer.TActivation, pool_size: tuple[int, ...], strides: tuple[int, ...])

Bases: TAvgPoolingLayer

class qualia_codegen_core.graph.layers.TAvgPoolingLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, activation: qualia_codegen_core.graph.layers.TActivationLayer.TActivation, pool_size: tuple[int, ...], strides: tuple[int, ...])

Bases: TBaseLayer

activation: TActivation

pool_size: tuple[int, ...]

strides: tuple[int, ...]

class qualia_codegen_core.graph.layers.TBaseLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str)

Bases: ABC

input_shape: Shapes

output_shape: Shapes

output_dtype: DTypes

name: str

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

class qualia_codegen_core.graph.layers.TBatchNormalization1DLayer(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)

Bases: TBatchNormalizationLayer

class qualia_codegen_core.graph.layers.TBatchNormalization2DLayer(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)

Bases: TBatchNormalizationLayer

class qualia_codegen_core.graph.layers.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)

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]]]

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]]]]

class qualia_codegen_core.graph.layers.TConcatenateLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str)

Bases: TBaseLayer

class qualia_codegen_core.graph.layers.TConv1DLayer(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', kernel: 'NDArrayFloatOrInt', kernel_size: 'tuple[int, ...]', strides: 'tuple[int, ...]', filters: 'int', use_bias: 'bool', bias: 'NDArrayFloatOrInt', groups: 'int', padding: tuple[int, int])

Bases: TConvLayer

padding: tuple[int, int]

class qualia_codegen_core.graph.layers.TConv2DLayer(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', kernel: 'NDArrayFloatOrInt', kernel_size: 'tuple[int, ...]', strides: 'tuple[int, ...]', filters: 'int', use_bias: 'bool', bias: 'NDArrayFloatOrInt', groups: 'int', padding: tuple[tuple[int, int], tuple[int, int]])

Bases: TConvLayer

padding: tuple[tuple[int, int], tuple[int, int]]

class qualia_codegen_core.graph.layers.TConvLayer(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', kernel: 'NDArrayFloatOrInt', kernel_size: 'tuple[int, ...]', strides: 'tuple[int, ...]', filters: 'int', use_bias: 'bool', bias: 'NDArrayFloatOrInt', groups: 'int')

Bases: TBaseLayer

activation: TActivation

kernel: NDArrayFloatOrInt

kernel_size: tuple[int, ...]

strides: tuple[int, ...]

filters: int

use_bias: bool

bias: NDArrayFloatOrInt

groups: int

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

class qualia_codegen_core.graph.layers.TDenseLayer(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', kernel: 'NDArrayFloatOrInt', units: 'int', use_bias: 'bool', bias: 'NDArrayFloatOrInt')

Bases: TBaseLayer

activation: TActivation

kernel: NDArrayFloatOrInt

units: int

use_bias: bool

bias: NDArrayFloatOrInt

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

class qualia_codegen_core.graph.layers.TDropoutLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, p: float)

Bases: TBaseLayer

p: float

class qualia_codegen_core.graph.layers.TFlattenLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str)

Bases: TBaseLayer

class qualia_codegen_core.graph.layers.TIdentityLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str)

Bases: TBaseLayer

class qualia_codegen_core.graph.layers.TInputLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str)

Bases: TBaseLayer

class qualia_codegen_core.graph.layers.TMaxPooling1DLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, activation: qualia_codegen_core.graph.layers.TActivationLayer.TActivation, pool_size: tuple[int, ...], strides: tuple[int, ...])

Bases: TMaxPoolingLayer

class qualia_codegen_core.graph.layers.TMaxPooling2DLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, activation: qualia_codegen_core.graph.layers.TActivationLayer.TActivation, pool_size: tuple[int, ...], strides: tuple[int, ...])

Bases: TMaxPoolingLayer

class qualia_codegen_core.graph.layers.TMaxPoolingLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, activation: qualia_codegen_core.graph.layers.TActivationLayer.TActivation, pool_size: tuple[int, ...], strides: tuple[int, ...])

Bases: TBaseLayer

activation: TActivation

pool_size: tuple[int, ...]

strides: tuple[int, ...]

class qualia_codegen_core.graph.layers.TPermuteLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, dims: tuple[int, ...])

Bases: TBaseLayer

dims: tuple[int, ...]

class qualia_codegen_core.graph.layers.TSampleNormLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, mode: qualia_codegen_core.graph.layers.TSampleNormLayer.TSampleNormMode)

Bases: TBaseLayer

mode: TSampleNormMode

class qualia_codegen_core.graph.layers.TSliceLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, slices: tuple[slice, ...])

Bases: TBaseLayer

slices: tuple[slice, ...]

class qualia_codegen_core.graph.layers.TSumLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, dim: tuple[int, ...])

Bases: TBaseLayer

dim: tuple[int, ...]

class qualia_codegen_core.graph.layers.TZeroPadding1DLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, padding: 'int | tuple[int, int]')

Bases: TZeroPaddingLayer

class qualia_codegen_core.graph.layers.TZeroPadding2DLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, padding: 'int | tuple[int, int]')

Bases: TZeroPaddingLayer

class qualia_codegen_core.graph.layers.TZeroPaddingLayer(input_shape: qualia_codegen_core.typing.Shapes, output_shape: qualia_codegen_core.typing.Shapes, output_dtype: qualia_codegen_core.typing.DTypes, name: str, padding: 'int | tuple[int, int]')

Bases: TBaseLayer

padding: int | tuple[int, int]