Module: tfmot.sparsity.keras
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Module containing sparsity code built on Keras abstractions.
Classes
class ConstantSparsity
: Pruning schedule with constant sparsity(%) throughout training.
class PolynomialDecay
: Pruning Schedule with a PolynomialDecay function.
class PrunableLayer
: Abstract Base Class for making your own keras layer prunable.
class PruneForLatencyOnXNNPack
: Specifies to prune only 1x1 Conv2D layers in the model.
class PruningPolicy
: Specifies what layers to prune in the model.
class PruningSchedule
: Specifies when to prune layer and the sparsity(%) at each training step.
class PruningSummaries
: A Keras callback for adding pruning summaries to tensorboard.
class UpdatePruningStep
: Keras callback which updates pruning wrappers with the optimizer step.
Functions
prune_low_magnitude(...)
: Modify a tf.keras layer or model to be pruned during training.
prune_scope(...)
: Provides a scope in which Pruned layers and models can be deserialized.
strip_pruning(...)
: Strip pruning wrappers from the model.
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Last updated 2023-05-26 UTC.
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