diff --git a/python/paddle/tensor/logic.py b/python/paddle/tensor/logic.py
index 3eb142f13cfd89ef0ad7ad77627e7616cf533214..e8b699b1f085f08d7ceca3475b0f9b4436862aac 100755
--- a/python/paddle/tensor/logic.py
+++ b/python/paddle/tensor/logic.py
@@ -393,12 +393,7 @@ def allclose(x, y, rtol=1e-05, atol=1e-08, equal_nan=False, name=None):
     """
 
     if in_dygraph_mode():
-        # NOTE(dev): Pass tol as Tensor to fix precision loss problem, because
-        # C++ backend will cast it into float32 if passing float from python.
-        as_tensor = lambda x: paddle.to_tensor(
-            [x], dtype='float64', place='cpu')
-        return _C_ops.allclose(x, y, as_tensor(rtol), as_tensor(atol),
-                               equal_nan)
+        return _C_ops.allclose(x, y, rtol, atol, equal_nan)
     if _in_legacy_dygraph():
         return _legacy_C_ops.allclose(x, y, 'rtol', str(rtol), 'atol',
                                       str(atol), 'equal_nan', equal_nan)
@@ -998,11 +993,7 @@ def isclose(x, y, rtol=1e-05, atol=1e-08, equal_nan=False, name=None):
     """
 
     if in_dygraph_mode():
-        # NOTE(dev): Pass tol as Tensor to fix precision loss problem, because
-        # C++ backend will cast it into float32 if passing float from python.
-        as_tensor = lambda x: paddle.to_tensor(
-            [x], dtype='float64', place='cpu')
-        return _C_ops.isclose(x, y, as_tensor(rtol), as_tensor(atol), equal_nan)
+        return _C_ops.isclose(x, y, rtol, atol, equal_nan)
     if _in_legacy_dygraph():
         return _legacy_C_ops.isclose(x, y, 'rtol', str(rtol), 'atol', str(atol),
                                      'equal_nan', equal_nan)