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Cifar100 wrn404 regularization #31

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Cifar100 wrn404 regularization #31

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2d30484
Add failing test: evaluating loss on cifar100_wrn404 with regularization
Aug 3, 2020
0be39fe
Fix missing return of regularization_groups
Aug 3, 2020
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2 changes: 1 addition & 1 deletion deepobs/pytorch/testproblems/cifar100_wrn404.py
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Original file line number Diff line number Diff line change
Expand Up @@ -66,4 +66,4 @@ def get_regularization_groups(self):
group_dict[l2].append(parameters)
else:
group_dict[no].append(parameters)

return group_dict
11 changes: 8 additions & 3 deletions tests/pytorch/testproblems/test_cifar100_wrn404.py
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Expand Up @@ -24,12 +24,12 @@ def setUp(self):
"""Sets up CIFAR-100 dataset for the tests."""
self.batch_size = 100
self.cifar100_wrn404 = testproblems.cifar100_wrn404(self.batch_size)

def test_num_param(self):
"""Tests the number of parameters."""
torch.manual_seed(42)
self.cifar100_wrn404.set_up()
self.cifar100_wrn404.train_init_op()

def test_num_param(self):
"""Tests the number of parameters."""
num_param = []
for parameter in self.cifar100_wrn404.net.parameters():
num_param.append(parameter.numel())
Expand Down Expand Up @@ -155,6 +155,11 @@ def test_num_param(self):

self.assertEqual(num_param, expected_num_param)

def test_forward_pass_with_regularization(self):
loss, _ = self.cifar100_wrn404.get_batch_loss_and_accuracy(
add_regularization_if_available=True
)


if __name__ == "__main__":
unittest.main()