diff --git a/paddle/phi/api/yaml/legacy_ops.yaml b/paddle/phi/api/yaml/legacy_ops.yaml
index f0de136a56eb14dbeaca414d355122fc0950273a..cb0dfa23c99ae69defd113667bb39c1a9e63e5c5 100755
--- a/paddle/phi/api/yaml/legacy_ops.yaml
+++ b/paddle/phi/api/yaml/legacy_ops.yaml
@@ -1757,7 +1757,7 @@
   backward : triangular_solve_grad
 
 - op : tril
-  args : (Tensor x,  int diagonal)
+  args : (Tensor x, int diagonal)
   output : Tensor(out)
   infer_meta :
     func : TrilInferMeta
@@ -1789,7 +1789,7 @@
   backward : trilinear_interp_grad
 
 - op : triu
-  args : (Tensor x,  int diagonal)
+  args : (Tensor x, int diagonal)
   output : Tensor(out)
   infer_meta :
     func : TriuInferMeta
diff --git a/python/paddle/tensor/creation.py b/python/paddle/tensor/creation.py
index 808e4d86d60320b725eedee6c46ccfc1d991f126..07f33b328c183f882afee33f0a8b7d6888dfd6f5 100644
--- a/python/paddle/tensor/creation.py
+++ b/python/paddle/tensor/creation.py
@@ -1344,7 +1344,7 @@ def tril(x, diagonal=0, name=None):
             #         [9 , 10, 0 , 0 ]])
     """
     if in_dygraph_mode():
-        return _C_ops.tril(x, diagonal, True)
+        return _C_ops.tril(x, diagonal)
     else:
         return _tril_triu_op(LayerHelper('tril', **locals()))
 
@@ -1406,7 +1406,7 @@ def triu(x, diagonal=0, name=None):
 
     """
     if in_dygraph_mode():
-        return _C_ops.triu(x, diagonal, False)
+        return _C_ops.triu(x, diagonal)
     else:
         return _tril_triu_op(LayerHelper('triu', **locals()))
 
diff --git a/python/paddle/tensor/math.py b/python/paddle/tensor/math.py
index edd44e4e833d32485472017b606ecbe710052ac6..6c8b423172478646530fe813454bdbd24d11880c 100644
--- a/python/paddle/tensor/math.py
+++ b/python/paddle/tensor/math.py
@@ -4677,10 +4677,7 @@ def diff(x, n=1, axis=-1, prepend=None, append=None, name=None):
                 outputs={"Out": out},
             )
         else:
-            out = paddle.tensor.math._subtract_with_axis(
-                input_back, input_front, axis=axis
-            )
-
+            out = paddle.tensor.math.subtract(input_back, input_front)
         return out