Skip to content
This repository was archived by the owner on Jun 3, 2025. It is now read-only.
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions src/sparseml/pytorch/optim/modifier_pruning.py
Original file line number Diff line number Diff line change
Expand Up @@ -608,6 +608,7 @@ def initialize(self, module: Module, optimizer: Optimizer):
layers,
param_names,
layer_names=layer_names,
mask_creator=self._mask_creator,
global_sparsity=self._global_sparsity,
)

Expand Down
5 changes: 5 additions & 0 deletions tests/sparseml/pytorch/optim/test_modifier_pruning.py
Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,7 @@
GlobalMagnitudePruningModifier,
GMPruningModifier,
MagnitudePruningModifier,
load_mask_creator,
)
from tests.sparseml.pytorch.helpers import LinearNet
from tests.sparseml.pytorch.optim.test_modifier import (
Expand Down Expand Up @@ -262,6 +263,10 @@ def test_lifecycle(
optimizer = optim_lambda(model)
self.initialize_helper(modifier, model, optimizer)
assert modifier.applied_sparsity is None
assert type(load_mask_creator(modifier._mask_type)) == type( # noqa: E721
modifier._mask_creator
)
assert modifier._mask_creator == modifier._module_masks._mask_creator

# check sparsity is not set before
for epoch in range(int(modifier.start_epoch)):
Expand Down