diff --git a/python/paddle/nn/functional/pooling.py b/python/paddle/nn/functional/pooling.py
index 72df74b50e07e..8b90eafc90536 100755
--- a/python/paddle/nn/functional/pooling.py
+++ b/python/paddle/nn/functional/pooling.py
@@ -136,8 +136,8 @@ def _update_padding_nd(padding, num_dims, channel_last=False, ceil_mode=False):
         if padding == "VALID":
             if ceil_mode is not False:
                 raise ValueError(
-                    "When Attr(padding) is \"VALID\", Attr(ceil_mode) must be False. "
-                    "Received ceil_mode: True."
+                    'When Attr(padding) is "VALID", Attr(ceil_mode) must be False. '
+                    'Received ceil_mode: True.'
                 )
 
             padding_algorithm = "VALID"
diff --git a/python/paddle/optimizer/optimizer.py b/python/paddle/optimizer/optimizer.py
index 156e733ed172b..a626a66b0a172 100644
--- a/python/paddle/optimizer/optimizer.py
+++ b/python/paddle/optimizer/optimizer.py
@@ -801,7 +801,7 @@ def _global_learning_rate(self, program=None):
     def _append_optimize_op(self, block, param_and_grad):
         """append optimize operator to block and return all the added optimize_op"""
         raise NotImplementedError(
-            "Class \"Optimizer\" connot be used directly as an optimizer, please use its subclasses such as \"Adam\""
+            'Class "Optimizer" connot be used directly as an optimizer, please use its subclasses such as "Adam"'
         )
 
     def _create_param_lr(self, param_and_grad):
diff --git a/test/cinn/test_paddle_model_convertor.py b/test/cinn/test_paddle_model_convertor.py
index bd2fb86de4130..ebb1d1e4e63a4 100644
--- a/test/cinn/test_paddle_model_convertor.py
+++ b/test/cinn/test_paddle_model_convertor.py
@@ -40,7 +40,7 @@
 parser.add_argument(
     "-m",
     "--model_filename",
-    help="The filename of model file, default \"__model__\"",
+    help='The filename of model file, default "__model__"',
     type=str,
     default="__model__",
 )
@@ -103,7 +103,7 @@ def setUp(self):
         self.params_filename = args.params_filename
 
         logger.info(
-            f"Run Model From \"{self.model_dir}\", which model filename is \"{self.model_filename}\", and parameter filename is \"{self.params_filename}\""
+            f'Run Model From "{self.model_dir}", which model filename is "{self.model_filename}", and parameter filename is "{self.params_filename}"'
         )
 
         self.load_paddle_program()
diff --git a/test/legacy_test/op.py b/test/legacy_test/op.py
index 1087998e8d6aa..1d29b294d40ff 100644
--- a/test/legacy_test/op.py
+++ b/test/legacy_test/op.py
@@ -273,15 +273,15 @@ def __call__(self, *args, **kwargs):
         if "type" in kwargs:
             if len(args) != 0:
                 raise ValueError(
-                    "Except the argument \"type\","
-                    "all of the other arguments should be keyword arguments."
+                    'Except the argument "type",'
+                    'all of the other arguments should be keyword arguments.'
                 )
             t = kwargs.pop("type")
         else:
             if len(args) != 1:
                 raise ValueError(
-                    "Except the argument \"type\","
-                    "all of the other arguments should be keyword arguments."
+                    'Except the argument "type",'
+                    'all of the other arguments should be keyword arguments.'
                 )
             t = args[0]
 
diff --git a/test/legacy_test/test_operator_desc.py b/test/legacy_test/test_operator_desc.py
index d0ee95854cd94..c4fc5e1ad24cb 100644
--- a/test/legacy_test/test_operator_desc.py
+++ b/test/legacy_test/test_operator_desc.py
@@ -35,7 +35,7 @@ def test_error_type(self):
             self.assertFail()
         except ValueError as a_err:
             self.assertEqual(
-                str(a_err), "Operator \"no_such_op\" has not been registered."
+                str(a_err), 'Operator "no_such_op" has not been registered.'
             )
 
     def test_op_desc_creation(self):