diff --git a/monai/utils/type_conversion.py b/monai/utils/type_conversion.py
index b0ce187e38..3688b02d26 100644
--- a/monai/utils/type_conversion.py
+++ b/monai/utils/type_conversion.py
@@ -105,6 +105,8 @@ def convert_to_tensor(data, wrap_sequence: bool = False):
             # numpy array with 0 dims is also sequence iterable,
             # `ascontiguousarray` will add 1 dim if img has no dim, so we only apply on data with dims
             return torch.as_tensor(data if data.ndim == 0 else np.ascontiguousarray(data))
+    elif has_cp and isinstance(data, cp_ndarray):
+        return torch.as_tensor(data)
     elif isinstance(data, (float, int, bool)):
         return torch.as_tensor(data)
     elif isinstance(data, Sequence) and wrap_sequence:
diff --git a/tests/test_to_tensor.py b/tests/test_to_tensor.py
index 6ac06983f6..3d187a1dba 100644
--- a/tests/test_to_tensor.py
+++ b/tests/test_to_tensor.py
@@ -12,9 +12,12 @@
 import unittest
 
 from parameterized import parameterized
+from torch import Tensor
 
 from monai.transforms import ToTensor
-from tests.utils import TEST_NDARRAYS, assert_allclose
+from tests.utils import TEST_NDARRAYS, assert_allclose, optional_import
+
+cp, has_cp = optional_import("cupy")
 
 im = [[1, 2], [3, 4]]
 
@@ -33,15 +36,25 @@ class TestToTensor(unittest.TestCase):
     @parameterized.expand(TESTS)
     def test_array_input(self, test_data, expected_shape):
         result = ToTensor()(test_data)
+        self.assertTrue(isinstance(result, Tensor))
         assert_allclose(result, test_data)
         self.assertTupleEqual(result.shape, expected_shape)
 
     @parameterized.expand(TESTS_SINGLE)
     def test_single_input(self, test_data):
         result = ToTensor()(test_data)
+        self.assertTrue(isinstance(result, Tensor))
         assert_allclose(result, test_data)
         self.assertEqual(result.ndim, 0)
 
+    @unittest.skipUnless(has_cp, "CuPy is required.")
+    def test_cupy(self):
+        test_data = [[1, 2], [3, 4]]
+        cupy_array = cp.ascontiguousarray(cp.asarray(test_data))
+        result = ToTensor()(cupy_array)
+        self.assertTrue(isinstance(result, Tensor))
+        assert_allclose(result, test_data)
+
 
 if __name__ == "__main__":
     unittest.main()