Skip to content

fix: device state of input model for memory metrics #256

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
johannaSommer merged 1 commit into from
Jul 14, 2025
Merged

fix: device state of input model for memory metrics #256

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
3 changes: 3 additions & 0 deletions tests/evaluation/test_memory_metrics.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -18,6 +18,7 @@ def test_disk_memory_metric(model_fixture: tuple[Any, SmashConfig], device: str)
model, smash_config = model_fixture
disk_memory_metric = DiskMemoryMetric()
pruna_model = PrunaModel(model, smash_config=smash_config)
pruna_model.move_to_device("cuda")
disk_memory_results = disk_memory_metric.compute(pruna_model, smash_config.test_dataloader())
assert disk_memory_results.result > 0

Expand All @@ -34,6 +35,7 @@ def test_inference_memory_metric(model_fixture: tuple[Any, SmashConfig], device:
model, smash_config = model_fixture
inference_memory_metric = InferenceMemoryMetric()
pruna_model = PrunaModel(model, smash_config=smash_config)
pruna_model.move_to_device("cuda")
inference_memory_results = inference_memory_metric.compute(pruna_model, smash_config.test_dataloader())
assert inference_memory_results.result > 0

Expand All @@ -50,5 +52,6 @@ def test_training_memory_metric(model_fixture: tuple[Any, SmashConfig], device:
model, smash_config = model_fixture
training_memory_metric = TrainingMemoryMetric()
pruna_model = PrunaModel(model, smash_config=smash_config)
pruna_model.move_to_device("cuda")
training_memory_results = training_memory_metric.compute(pruna_model, smash_config.test_dataloader())
assert training_memory_results.result > 0