diff --git a/monai/transforms/croppad/dictionary.py b/monai/transforms/croppad/dictionary.py
index 56d214c51d..196a4b0931 100644
--- a/monai/transforms/croppad/dictionary.py
+++ b/monai/transforms/croppad/dictionary.py
@@ -221,9 +221,8 @@ def __init__(
                 note that `np.pad` treats channel dimension as the first dimension.
 
         """
-        LazyTransform.__init__(self, lazy)
         padder = SpatialPad(spatial_size, method, lazy=lazy, **kwargs)
-        Padd.__init__(self, keys, padder=padder, mode=mode, allow_missing_keys=allow_missing_keys)
+        Padd.__init__(self, keys, lazy=lazy, padder=padder, mode=mode, allow_missing_keys=allow_missing_keys)
 
 
 class BorderPadd(Padd):
@@ -274,9 +273,9 @@ def __init__(
                 note that `np.pad` treats channel dimension as the first dimension.
 
         """
-        LazyTransform.__init__(self, lazy)
         padder = BorderPad(spatial_border=spatial_border, lazy=lazy, **kwargs)
-        Padd.__init__(self, keys, padder=padder, mode=mode, allow_missing_keys=allow_missing_keys)
+        Padd.__init__(self, keys, lazy=lazy, padder=padder, mode=mode, allow_missing_keys=allow_missing_keys)
+        # Padd.__init__(self, keys, padder=padder, mode=mode, allow_missing_keys=allow_missing_keys)
 
 
 class DivisiblePadd(Padd):
@@ -324,9 +323,8 @@ def __init__(
         See also :py:class:`monai.transforms.SpatialPad`
 
         """
-        LazyTransform.__init__(self, lazy)
         padder = DivisiblePad(k=k, method=method, lazy=lazy, **kwargs)
-        Padd.__init__(self, keys, padder=padder, mode=mode, allow_missing_keys=allow_missing_keys)
+        Padd.__init__(self, keys, lazy=lazy, padder=padder, mode=mode, allow_missing_keys=allow_missing_keys)
 
 
 class Cropd(MapTransform, InvertibleTransform, LazyTransform):
diff --git a/tests/padders.py b/tests/padders.py
index 02d7b40af6..ae1153bdfd 100644
--- a/tests/padders.py
+++ b/tests/padders.py
@@ -136,6 +136,9 @@ def pad_test_pending_ops(self, input_param, input_shape):
             # TODO: mode="bilinear" may report error
             overrides = {"mode": "nearest", "padding_mode": mode[1], "align_corners": False}
             result = apply_pending(pending_result, overrides=overrides)[0]
+            # lazy in constructor
+            pad_fn_lazy = self.Padder(mode=mode[0], lazy=True, **input_param)
+            self.assertTrue(pad_fn_lazy.lazy)
             # compare
             assert_allclose(result, expected, rtol=1e-5)
             if isinstance(result, MetaTensor) and not isinstance(pad_fn, MapTransform):