diff --git a/python/paddle/distribution/transform.py b/python/paddle/distribution/transform.py
index dd0e63f048ea5d942b97060b3ec24f6daac68362..31b1dedbc5fb36420b07266cd03fcb8ef9f9ad7a 100644
--- a/python/paddle/distribution/transform.py
+++ b/python/paddle/distribution/transform.py
@@ -113,7 +113,7 @@ class Transform(object):
 
         * _forward_shape
         * _inverse_shape
-        
+
     """
     _type = Type.INJECTION
 
@@ -669,7 +669,7 @@ class IndependentTransform(Transform):
         base (Transform): The base transformation.
         reinterpreted_batch_rank (int): The num of rightmost batch rank that 
             will be reinterpreted as event rank.
-    
+
     Examples:
 
         .. code-block:: python
@@ -743,7 +743,7 @@ class PowerTransform(Transform):
 
     Args:
         power (Tensor): The power parameter.
-    
+
     Examples:
 
         .. code-block:: python
@@ -1017,7 +1017,7 @@ class StackTransform(Transform):
     Examples:
 
         .. code-block:: python
-        
+
             import paddle
 
 
@@ -1141,7 +1141,8 @@ class StickBreakingTransform(Transform):
         offset = x.shape[-1] + 1 - paddle.ones([x.shape[-1]]).cumsum(-1)
         z = F.sigmoid(x - offset.log())
         z_cumprod = (1 - z).cumprod(-1)
-        return F.pad(z, [0, 1], value=1) * F.pad(z_cumprod, [1, 0], value=1)
+        return F.pad(z, [0]*2*(len(x.shape)-1) + [0, 1], value=1) * \
+            F.pad(z_cumprod, [0]*2*(len(x.shape)-1) + [1, 0], value=1)
 
     def _inverse(self, y):
         y_crop = y[..., :-1]