diff --git a/ppdet/data/transform/operators.py b/ppdet/data/transform/operators.py
index b37603f87d273ede8d81ce29cd0140cbfc680572..54f918c9bd46f8283c3be9ef57e4589f09481b51 100644
--- a/ppdet/data/transform/operators.py
+++ b/ppdet/data/transform/operators.py
@@ -1506,8 +1506,8 @@ class Cutmix(BaseOperator):
         w = max(img1.shape[1], img2.shape[1])
         cut_rat = np.sqrt(1. - factor)
 
-        cut_w = np.int(w * cut_rat)
-        cut_h = np.int(h * cut_rat)
+        cut_w = np.int32(w * cut_rat)
+        cut_h = np.int32(h * cut_rat)
 
         # uniform
         cx = np.random.randint(w)
diff --git a/static/ppdet/data/transform/operators.py b/static/ppdet/data/transform/operators.py
index 78ae281e9c1c652a319eda9bf354ee214934773b..d51e68d179e39ef1f372bb246025c4eaf5e235fd 100644
--- a/static/ppdet/data/transform/operators.py
+++ b/static/ppdet/data/transform/operators.py
@@ -1343,8 +1343,8 @@ class CutmixImage(BaseOperator):
             w = max(img1.shape[1], img2.shape[1])
             cut_rat = np.sqrt(1. - factor)
 
-            cut_w = np.int(w * cut_rat)
-            cut_h = np.int(h * cut_rat)
+            cut_w = np.int32(w * cut_rat)
+            cut_h = np.int32(h * cut_rat)
 
             # uniform
             cx = np.random.randint(w)