neural_compressor.compression.pruner.pruners.block_mask

Block mask pruner.

Classes

PytorchBlockMaskPruner

Pruning Pruner.

Module Contents

class neural_compressor.compression.pruner.pruners.block_mask.PytorchBlockMaskPruner(config, modules)

Pruning Pruner.

The class which executes pruning process. 1. Defines pruning functions called at step begin/end, before/after optimize and epoch begin/end. 2. Defines the pruning criterion. 3. Obtain block masks and its grads.

Parameters:

• modules – A dict {“module_name”: Tensor} that stores the pruning modules’ weights.

• config – A config dict object that contains the pruner information.

pattern

A Pattern object that defines pruning weights’ arrangements within space.

criterion

A Criterion Object that defines which weights are to be pruned

scheduler

A Scheduler object that defines how the model’s sparsity changes as training/pruning proceeds.

reg

A Reg object that defines regulization terms.