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Add cuda_available decorator for Kar2019 tests #2312

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Merged
KartikP merged 3 commits into from
Mar 16, 2026
Merged

Add cuda_available decorator for Kar2019 tests #2312

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3da86e9
Add cuda_available decorator
KartikP Mar 2, 2026
8716e0f
only skip TF-based OST classifier
KartikP Mar 2, 2026
96cd2d7
Merge branch 'master' into kp/kar2019-cuda-check
KartikP Mar 16, 2026
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14 changes: 14 additions & 0 deletions brainscore_vision/benchmarks/kar2019/test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,10 +12,22 @@
from brainscore_vision.benchmarks.kar2019 import DicarloKar2019OST
from brainscore_core.supported_data_standards.brainio import s3


def _cuda_available() -> bool:
try:
import torch
return torch.cuda.is_available()
except ImportError:
return False


requires_cuda = pytest.mark.skipif(not _cuda_available(), reason="CUDA not available")

visual_degrees = VisualDegreesTests()
number_trials = NumberOfTrialsTests()


@requires_cuda
@pytest.mark.memory_intense
@pytest.mark.private_access
@pytest.mark.slow
Expand Down Expand Up @@ -51,6 +63,7 @@ def test_repetitions():
number_trials.repetitions_test('Kar2019-ost')


@requires_cuda
@pytest.mark.memory_intense
@pytest.mark.private_access
def test_no_time():
Expand All @@ -73,6 +86,7 @@ def test_no_time():
assert score.attrs['ceiling'] == approx(.79)


@requires_cuda
@pytest.mark.memory_intense
@pytest.mark.private_access
def test_random_time():
Expand Down
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