tmeasures package

Subpackages

• tmeasures.np package
  • Subpackages
    • tmeasures.np.multithread package
      • Submodules
      • tmeasures.np.multithread.event_driven_layer_measure module
      • tmeasures.np.multithread.functions module
      • tmeasures.np.multithread.goodfellow_prob_multithreaded module
      • tmeasures.np.multithread.multithreaded_layer_measure module
      • tmeasures.np.multithread.multithreaded_variance module
      • Module contents
  • Submodules
  • tmeasures.np.activations_iterator module
  • tmeasures.np.aggregation module
  • tmeasures.np.anova module
  • tmeasures.np.base module
  • tmeasures.np.distance_invariance module
  • tmeasures.np.distance_same_equivariance module
  • tmeasures.np.goodfellow module
  • tmeasures.np.goodfellow_prob module
  • tmeasures.np.layer_transformation module
  • tmeasures.np.quotient module
  • tmeasures.np.same_equivariance_simple module
  • tmeasures.np.stats_running module
  • tmeasures.np.variance_invariance module
  • tmeasures.np.variance_same_equivariance module
  • Module contents
• tmeasures.pytorch package
  • Subpackages
    • tmeasures.pytorch.transformations package
      • Submodules
      • tmeasures.pytorch.transformations.affine module
      • Module contents
  • Submodules
  • tmeasures.pytorch.activations_iterator module
  • tmeasures.pytorch.activations_iterator_base module
  • tmeasures.pytorch.activations_transformer module
    • ActivationsTransformer
      • ActivationsTransformer.filter_activations()
      • ActivationsTransformer.get_transformations_set()
      • ActivationsTransformer.get_valid_layers()
      • ActivationsTransformer.trasform_st_same_column()
      • ActivationsTransformer.trasform_st_same_row()
    • list_get_all()
  • tmeasures.pytorch.base module
  • tmeasures.pytorch.dataset2d module
    • Dataset2D
      • Dataset2D.T
      • Dataset2D.get_transformations()
      • Dataset2D.getitem2d()
      • Dataset2D.len()
      • Dataset2D.len0
      • Dataset2D.len1
      • Dataset2D.row_dataset()
    • RowDataset
    • STDataset
      • STDataset.len_dataset()
      • STDataset.len_transformations()
    • SampleTransformationDataset
      • SampleTransformationDataset.T()
      • SampleTransformationDataset.get_transformations()
      • SampleTransformationDataset.getitem2d()
      • SampleTransformationDataset.len0
      • SampleTransformationDataset.len1
    • TransformationSampleDataset
      • TransformationSampleDataset.T()
      • TransformationSampleDataset.get_transformations()
      • TransformationSampleDataset.getitem2d()
      • TransformationSampleDataset.len0
      • TransformationSampleDataset.len1
  • tmeasures.pytorch.goodfellow module
  • tmeasures.pytorch.layer_measures module
  • tmeasures.pytorch.measure_transformer module
  • tmeasures.pytorch.model module
    • ActivationsModule
      • ActivationsModule.activation_names()
      • ActivationsModule.forward_activations()
      • ActivationsModule.n_activations()
      • ActivationsModule.training
    • AutoActivationsModule
      • AutoActivationsModule.activation_names()
      • AutoActivationsModule.forward_activations()
      • AutoActivationsModule.register_hooks()
      • AutoActivationsModule.reset_values()
      • AutoActivationsModule.training
    • DuplicateKeyError
    • FilteredActivationsModule
      • FilteredActivationsModule.activation_names()
      • FilteredActivationsModule.eval()
      • FilteredActivationsModule.forward()
      • FilteredActivationsModule.forward_activations()
      • FilteredActivationsModule.training
    • flatten_dict()
    • flatten_dict_list()
    • intersect_lists()
    • named_children_deep()
  • tmeasures.pytorch.quotient module
  • tmeasures.pytorch.stats_running module
  • tmeasures.pytorch.util module
  • tmeasures.pytorch.variance_invariance module
  • tmeasures.pytorch.variance_sameequivariance module
  • Module contents
• tmeasures.transformations package
  • Subpackages
    • tmeasures.transformations.numpy package
      • Submodules
      • tmeasures.transformations.numpy.affine module
      • Module contents
  • Submodules
  • tmeasures.transformations.affine module
  • tmeasures.transformations.parameters module
  • Module contents
• tmeasures.utils package
  • Submodules
  • tmeasures.utils.iterable_queue module
    • IterableQueue
      • IterableQueue.get()
      • IterableQueue.put()
  • Module contents
    • IterableQueue
    • get_all()
    • indices_of()
• tmeasures.visualization package
  • Submodules
  • tmeasures.visualization.features module
  • tmeasures.visualization.heatmaps module
  • tmeasures.visualization.layers module
  • tmeasures.visualization.sample_size module
  • Module contents

Submodules

tmeasures.adapters module

tmeasures.measure module

class tmeasures.measure.Measure

Bases: ABC

abbreviation()

abstract eval() → MeasureResult

id()

name()

class tmeasures.measure.MeasureResult(layers: List[ndarray], layer_names: List[str], measure: Measure, extra_values={})

Bases: object

all_1d()

global_average() → float

layers_dict()

per_layer_average() → ndarray

per_layer_mean_std() → Tuple[ndarray, ndarray]

remove_layers(remove_indices: List[int]) → MeasureResult

weighted_global_average()

class tmeasures.measure.StratifiedMeasureResult(layers: List[ndarray], layer_names: List[str], measure: Measure, results: List[MeasureResult], labels: List[str])

Bases: MeasureResult

tmeasures.transformation module

class tmeasures.transformation.IdentityTransformation

Bases: InvertibleTransformation

inverse() → InvertibleTransformation

class tmeasures.transformation.InvertibleTransformation

Bases: object

abstract inverse() → InvertibleTransformation

class tmeasures.transformation.Transformation

Bases: object

parameters()

class tmeasures.transformation.TransformationSet(members)

Bases: list, Sized, Iterable[Transformation]

abstract copy() → TransformationSet

Return a shallow copy of the list.

abstract id()

abstract parameter_range()

abstract valid_input(shape: Tuple[int]) → bool

Module contents