Skip to content
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.

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

Coggan benchmark identifiers fix #1370

Merged
merged 5 commits into from
Oct 23, 2024
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
3 changes: 2 additions & 1 deletion brainscore_vision/benchmarks/coggan2024_behavior/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,5 +4,6 @@
from .benchmark import (
Coggan2024_behavior_ConditionWiseAccuracySimilarity)

benchmark_registry['Coggan2024_behavior-ConditionWiseAccuracySimilarity'] = (
benchmark_registry['tong.Coggan2024_behavior-ConditionWiseAccuracySimilarity'] = (
Coggan2024_behavior_ConditionWiseAccuracySimilarity)

4 changes: 2 additions & 2 deletions brainscore_vision/benchmarks/coggan2024_behavior/test.py
Original file line number Diff line number Diff line change
Expand Up @@ -7,13 +7,13 @@


def test_benchmark_registry():
assert ('Coggan2024_behavior-ConditionWiseAccuracySimilarity' in
assert ('tong.Coggan2024_behavior-ConditionWiseAccuracySimilarity' in
benchmark_registry)

@pytest.mark.private_access
def test_benchmarks():
benchmark = load_benchmark(
'Coggan2024_behavior-ConditionWiseAccuracySimilarity')
'tong.Coggan2024_behavior-ConditionWiseAccuracySimilarity')
model = load_model('alexnet')
result = benchmark(model)
assert result.values == approx(0.1318, abs=.001)
Expand Down
8 changes: 4 additions & 4 deletions brainscore_vision/benchmarks/coggan2024_fMRI/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -8,8 +8,8 @@
Coggan2024_IT,
)

benchmark_registry['Coggan2024_fMRI.V1-rdm'] = Coggan2024_V1
benchmark_registry['Coggan2024_fMRI.V2-rdm'] = Coggan2024_V2
benchmark_registry['Coggan2024_fMRI.V4-rdm'] = Coggan2024_V4
benchmark_registry['Coggan2024_fMRI.IT-rdm'] = Coggan2024_IT
benchmark_registry['tong.Coggan2024_fMRI.V1-rdm'] = Coggan2024_V1
benchmark_registry['tong.Coggan2024_fMRI.V2-rdm'] = Coggan2024_V2
benchmark_registry['tong.Coggan2024_fMRI.V4-rdm'] = Coggan2024_V4
benchmark_registry['tong.Coggan2024_fMRI.IT-rdm'] = Coggan2024_IT

4 changes: 2 additions & 2 deletions brainscore_vision/benchmarks/coggan2024_fMRI/test.py
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@

@pytest.mark.parametrize('region', ['V1', 'V2', 'V4', 'IT'])
def test_benchmark_registry(region):
assert f'Coggan2024_fMRI.{region}-rdm' in benchmark_registry
assert f'tong.Coggan2024_fMRI.{region}-rdm' in benchmark_registry


@pytest.mark.parametrize('region', ['V1', 'V2', 'V4', 'IT'])
Expand All @@ -19,7 +19,7 @@ def test_benchmarks(region):
V4=0.3008136,
IT=0.4486508)[region]
model = load_model('alexnet')
benchmark = load_benchmark(f'Coggan2024_fMRI.{region}-rdm')
benchmark = load_benchmark(f'tong.Coggan2024_fMRI.{region}-rdm')
score = benchmark(model)
assert score.values == approx(expected_score, abs=.005)

Loading