tfmot.sparsity.keras.UpdatePruningStep

Keras callback which updates pruning wrappers with the optimizer step.

tfmot.sparsity.keras.UpdatePruningStep()

Used in the notebooks

Used in the guide
Pruning comprehensive guide Sparsity and cluster preserving quantization aware training (PCQAT) Keras example Pruning preserving quantization aware training (PQAT) Keras example Sparsity preserving clustering Keras example Pruning for on-device inference w/ XNNPACK

This callback must be used when training a model which needs to be pruned. Not doing so will throw an error.

Example:

model.fit(x, y,
    callbacks=[UpdatePruningStep()])

Methods

set_model

set_model(
    model
)

set_params

set_params(
    params
)