6846 convert to contiguous seq type (#6849)

Fixes #6846



### Types of changes
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Non-breaking change (fix or new feature that would not break
existing functionality).
- [ ] Breaking change (fix or new feature that would cause existing
functionality to change).
- [x] New tests added to cover the changes.
- [ ] Integration tests passed locally by running `./runtests.sh -f -u
--net --coverage`.
- [ ] Quick tests passed locally by running `./runtests.sh --quick
--unittests --disttests`.
- [ ] In-line docstrings updated.
- [ ] Documentation updated, tested `make html` command in the `docs/`
folder.

Signed-off-by: Wenqi Li <wenqil@nvidia.com>

Author: wyli

monai/transforms/utils.py

@@ -1712,8 +1712,8 @@ def convert_to_contiguous(
         return ascontiguousarray(data, **kwargs)
     elif isinstance(data, Mapping):
         return {k: convert_to_contiguous(v, **kwargs) for k, v in data.items()}
-    elif isinstance(data, Sequence) and not isinstance(data, bytes):
-        return [convert_to_contiguous(i, **kwargs) for i in data]  # type: ignore
+    elif isinstance(data, Sequence):
+        return type(data)(convert_to_contiguous(i, **kwargs) for i in data)  # type: ignore
     else:
         return data
 

tests/test_to_contiguous.py

@@ -21,7 +21,7 @@
 
 
 class TestToContiguous(unittest.TestCase):
-    def test_decollation_dict(self):
+    def test_contiguous_dict(self):
         tochange = np.moveaxis(np.zeros((2, 3, 4)), 0, -1)
         test_dict = {"test_key": [[1]], 0: np.array(0), 1: np.array([0]), "nested": {"nested": [tochange]}}
         output = convert_to_contiguous(test_dict)
@@ -30,16 +30,17 @@ def test_decollation_dict(self):
         assert_allclose(output[1], np.array([0]))
         self.assertTrue(output["nested"]["nested"][0].flags.c_contiguous)
 
-    def test_decollation_seq(self):
+    def test_contiguous_seq(self):
         tochange = torch.zeros(2, 3, 4).transpose(0, 1)
-        test_dict = [[[1]], np.array(0), np.array([0]), torch.tensor(1.0), [[tochange]], "test_string"]
-        output = convert_to_contiguous(test_dict)
+        test_seq = [[[1]], np.array(0), np.array([0]), torch.tensor(1.0), [[tochange]], "test_string", (1, 2, 3)]
+        output = convert_to_contiguous(test_seq)
         self.assertEqual(output[0], [[1]])
         assert_allclose(output[1], np.array(0))
         assert_allclose(output[2], np.array([0]))
         assert_allclose(output[3], torch.tensor(1.0))
         self.assertTrue(output[4][0][0].is_contiguous())
         self.assertEqual(output[5], "test_string")
+        self.assertEqual(output[6], (1, 2, 3))
 
 
 if __name__ == "__main__":