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5624 5816 resume tests #5814

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Merged
wyli merged 2 commits into from
Jan 6, 2023
Merged

5624 5816 resume tests #5814

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bfdbd37
resume tests
wyli Jan 5, 2023
b086465
fixes #5816 smaller tests
wyli Jan 5, 2023
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3 changes: 1 addition & 2 deletions .github/workflows/pythonapp.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -101,8 +101,7 @@ jobs:
python -m pip list
python setup.py develop # test no compile installation
shell: bash
- if: runner.os != 'windows'
name: Run compiled (${{ runner.os }})
- name: Run compiled (${{ runner.os }})
run: |
python setup.py develop --uninstall
BUILD_MONAI=1 python setup.py develop # compile the cpp extensions
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17 changes: 13 additions & 4 deletions tests/test_auto3dseg_ensemble.py
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Expand Up @@ -21,7 +21,7 @@
from monai.apps.auto3dseg import AlgoEnsembleBestByFold, AlgoEnsembleBestN, AlgoEnsembleBuilder, BundleGen, DataAnalyzer
from monai.bundle.config_parser import ConfigParser
from monai.data import create_test_image_3d
from monai.utils import optional_import
from monai.utils import optional_import, set_determinism
from monai.utils.enums import AlgoEnsembleKeys
from tests.utils import SkipIfBeforePyTorchVersion, skip_if_downloading_fails, skip_if_no_cuda, skip_if_quick

Expand Down Expand Up @@ -68,6 +68,7 @@
@unittest.skipIf(not has_tb, "no tensorboard summary writer")
class TestEnsembleBuilder(unittest.TestCase):
def setUp(self) -> None:
set_determinism(0)
self.test_dir = tempfile.TemporaryDirectory()

@skip_if_no_cuda
Expand Down Expand Up @@ -126,12 +127,19 @@ def test_ensemble(self) -> None:

for h in history:
self.assertEqual(len(h.keys()), 1, "each record should have one model")
for _, algo in h.items():
algo.train(train_param)
for name, algo in h.items():
_train_param = train_param.copy()
if name.startswith("segresnet"):
_train_param["network#init_filters"] = 8
_train_param["pretrained_ckpt_name"] = ""
elif name.startswith("swinunetr"):
_train_param["network#feature_size"] = 12
algo.train(_train_param)

builder = AlgoEnsembleBuilder(history, data_src_cfg)
builder.set_ensemble_method(AlgoEnsembleBestN(n_best=2))
builder.set_ensemble_method(AlgoEnsembleBestN(n_best=1))
ensemble = builder.get_ensemble()
pred_param["network#init_filter"] = 8 # segresnet
preds = ensemble(pred_param)
self.assertTupleEqual(preds[0].shape, (2, 24, 24, 24))

Expand All @@ -141,6 +149,7 @@ def test_ensemble(self) -> None:
print(algo[AlgoEnsembleKeys.ID])

def tearDown(self) -> None:
set_determinism(None)
self.test_dir.cleanup()


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