CLEAR and TinyImageNet tests bugfixes (#441)

awslabs · Sep 29, 2023 · c5749b2 · c5749b2
1 parent abe3ab7
commit c5749b2
Showing 1 changed file with 4 additions and 4 deletions.
diff --git a/test/renate/data/test_data_module.py b/test/renate/data/test_data_module.py
@@ -91,15 +91,15 @@ def test_torchvision_data_module(tmpdir, dataset_name, num_tr, num_te, x_shape):
 @pytest.mark.parametrize(
     "dataset_name,chunk_id,num_tr,num_te",
     [
-        ("CLEAR10", 0, 2986, 500),
-        ("CLEAR100", 0, 9945, 4984),
+        ("CLEAR10", 0, 3300, 550),
+        ("CLEAR100", 0, 9964, 5000),
     ],
 )
 def test_clear_data_module(tmpdir, dataset_name, chunk_id, num_tr, num_te):
     """Test loading of CLEAR data."""
     val_size = 0.2
     data_module = CLEARDataModule(
-        tmpdir, dataset_name=dataset_name, chunk_id=chunk_id, val_size=val_size
+        tmpdir, dataset_name=dataset_name, time_step=chunk_id, val_size=val_size
     )
     data_module.prepare_data()
     data_module.setup()
@@ -131,7 +131,7 @@ def test_tiny_imagenet_data_module(tmpdir):
     assert isinstance(val_data, Dataset)
     assert len(test_data) == num_te
     assert isinstance(test_data, Dataset)
-    assert train_data[0][0].size() == test_data[0][0].size() == (3, 64, 64)
+    assert train_data[0][0].size == test_data[0][0].size == (64, 64)
 
 
 @pytest.mark.slow