fixed device in tests

mlcolvar/tests/test_cvs.py

@@ -74,6 +74,7 @@ def dataset():
 def test_resume_from_checkpoint(cv_model, dataset):
     """CVs correctly resume from a checkpoint."""
     datamodule = DictModule(dataset, lengths=[1.0,0.], batch_size=len(dataset))
+    device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 
     # Run a few steps of training in a temporary directory.
     with tempfile.TemporaryDirectory() as tmp_dir_path:
@@ -94,7 +95,7 @@ def test_resume_from_checkpoint(cv_model, dataset):
         cv_model2 = cv_model.__class__.load_from_checkpoint(checkpoint_file_path)
 
     # Check that state is the same.
-    x = dataset['data']
-    cv_model.eval()
-    cv_model2.eval()
+    x = dataset['data'].to(device)
+    cv_model.to(device).eval()
+    cv_model2.to(device).eval()
     assert torch.allclose(cv_model(x), cv_model2(x))