diff --git a/pyproject.toml b/pyproject.toml
index 0e30f861bd4db..b974faad3bf71 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -105,7 +105,6 @@ ignore = [
 
 # Temporarily ignored
 "python/paddle/base/**" = [
-    "UP031",
     "C408",
     "UP030",
     "C405",
diff --git a/python/paddle/base/backward.py b/python/paddle/base/backward.py
index 2f03636c55d41..59bf66ebde7b6 100755
--- a/python/paddle/base/backward.py
+++ b/python/paddle/base/backward.py
@@ -231,7 +231,7 @@ def modify_forward_desc_for_recompute(self):
 
 
 def _pretty_op_desc_(op_desc, prefix):
-    out_s = "%s\tname:[%s]\n%s    \tinputs:[%s]\n%s    \toutputs:[%s]" % (
+    out_s = "{}\tname:[{}]\n{}    \tinputs:[{}]\n{}    \toutputs:[{}]".format(
         prefix + "_op",
         str(op_desc.type()),
         prefix + "_input",
@@ -2441,8 +2441,9 @@ def calc_gradient_helper(
                 raise ValueError("all targets must be in the same block")
             if target.shape != grad.shape:
                 raise ValueError(
-                    "The shapes of target and grad are different: %s %s"
-                    % (target.name, grad.name)
+                    "The shapes of target and grad are different: {} {}".format(
+                        target.name, grad.name
+                    )
                 )
             target_grad_map[_append_grad_suffix_(target.name)] = grad.name
             input_grad_names_set.add(grad.name)
diff --git a/python/paddle/base/core.py b/python/paddle/base/core.py
index 158e556cd1afe..aca102364a1ec 100644
--- a/python/paddle/base/core.py
+++ b/python/paddle/base/core.py
@@ -47,11 +47,10 @@
     if os.name == 'nt':
         executable_path = os.path.abspath(os.path.dirname(sys.executable))
         raise ImportError(
-            """NOTE: You may need to run \"set PATH=%s;%%PATH%%\"
+            f"""NOTE: You may need to run \"set PATH={executable_path};%PATH%\"
         if you encounters \"DLL load failed\" errors. If you have python
-        installed in other directory, replace \"%s\" with your own
-        directory. The original error is: \n %s"""
-            % (executable_path, executable_path, str(e))
+        installed in other directory, replace \"{executable_path}\" with your own
+        directory. The original error is: \n {str(e)}"""
         )
     else:
         raise ImportError(
@@ -197,7 +196,7 @@ def run_shell_command(cmd):
 def get_dso_path(core_so, dso_name):
     if core_so and dso_name:
         return run_shell_command(
-            "ldd %s|grep %s|awk '{print $3}'" % (core_so, dso_name)
+            f"ldd {core_so}|grep {dso_name}|awk '{{print $3}}'"
         )
     else:
         return None
diff --git a/python/paddle/base/data_feeder.py b/python/paddle/base/data_feeder.py
index 6efb86ffcc9ab..5bf2bf2d60f03 100644
--- a/python/paddle/base/data_feeder.py
+++ b/python/paddle/base/data_feeder.py
@@ -184,8 +184,9 @@ def check_type(input, input_name, expected_type, op_name, extra_message=''):
         )
     if not isinstance(input, expected_type):
         raise TypeError(
-            "The type of '%s' in %s must be %s, but received %s. %s"
-            % (input_name, op_name, expected_type, type(input), extra_message)
+            "The type of '{}' in {} must be {}, but received {}. {}".format(
+                input_name, op_name, expected_type, type(input), extra_message
+            )
         )
 
 
@@ -197,8 +198,9 @@ def check_dtype(
         return
     if convert_dtype(input_dtype) in ['float16']:
         warnings.warn(
-            "The data type of '%s' in %s only support float16 in GPU now. %s"
-            % (input_name, op_name, extra_message)
+            "The data type of '{}' in {} only support float16 in GPU now. {}".format(
+                input_name, op_name, extra_message
+            )
         )
     if convert_dtype(input_dtype) in ['uint16'] and op_name not in [
         'reshape',
@@ -206,13 +208,13 @@ def check_dtype(
         'scale',
     ]:
         warnings.warn(
-            "The data type of '%s' in %s only support bfloat16 in OneDNN now. %s"
-            % (input_name, op_name, extra_message)
+            "The data type of '{}' in {} only support bfloat16 in OneDNN now. {}".format(
+                input_name, op_name, extra_message
+            )
         )
     if convert_dtype(input_dtype) not in expected_dtype:
         raise TypeError(
-            "The data type of '%s' in %s must be %s, but received %s. %s"
-            % (
+            "The data type of '{}' in {} must be {}, but received {}. {}".format(
                 input_name,
                 op_name,
                 expected_dtype,
diff --git a/python/paddle/base/dygraph/base.py b/python/paddle/base/dygraph/base.py
index 0997d24ad4db4..9c340b7eab1d1 100644
--- a/python/paddle/base/dygraph/base.py
+++ b/python/paddle/base/dygraph/base.py
@@ -884,8 +884,9 @@ def to_variable(value, name=None, zero_copy=None, dtype=None):
     )
     if not isinstance(value, support_type):
         raise TypeError(
-            "The type of 'value' in base.dygraph.to_variable must be %s, but received %s."
-            % (support_type, type(value))
+            "The type of 'value' in base.dygraph.to_variable must be {}, but received {}.".format(
+                support_type, type(value)
+            )
         )
     if isinstance(value, (core.eager.Tensor, framework.Variable)):
         return value
diff --git a/python/paddle/base/executor.py b/python/paddle/base/executor.py
index 2d2b53e71f1e6..b41bfb749dafc 100755
--- a/python/paddle/base/executor.py
+++ b/python/paddle/base/executor.py
@@ -256,8 +256,9 @@ def check_feed_shape_type(var, feed, num_places=1):
                 else feed._dtype()
             )
             raise ValueError(
-                'The data type of fed Variable %r must be %r, but received %r'
-                % (var.name, var_dtype_format, feed_dtype_format)
+                'The data type of fed Variable {!r} must be {!r}, but received {!r}'.format(
+                    var.name, var_dtype_format, feed_dtype_format
+                )
             )
     return True
 
@@ -305,8 +306,9 @@ def pir_check_feed_shape_type(feed, name, target_shape, dtype, num_places=1):
             else feed._dtype()
         )
         raise ValueError(
-            'The data type of fed Variable %r must be %r, but received %r'
-            % (name, var_dtype_format, feed_dtype_format)
+            'The data type of fed Variable {!r} must be {!r}, but received {!r}'.format(
+                name, var_dtype_format, feed_dtype_format
+            )
         )
     return True
 
@@ -487,7 +489,7 @@ def _add_feed_fetch_ops(
         for i, var in enumerate(fetch_list):
             assert isinstance(
                 var, (Variable, str)
-            ), "Wrong type for fetch_list[%s]: %s" % (i, type(var))
+            ), f"Wrong type for fetch_list[{i}]: {type(var)}"
             global_block.append_op(
                 type=fetch_op,
                 inputs={'X': [var]},
@@ -510,7 +512,7 @@ def _add_pir_fetch_ops(program, fetch_list, fetch_var_name):
             for i, fetch_input in enumerate(fetch_list):
                 assert isinstance(
                     fetch_input, OpResult
-                ), "Wrong type for fetch_list[%s]: %s" % (i, type(fetch_input))
+                ), f"Wrong type for fetch_list[{i}]: {type(fetch_input)}"
                 paddle._pir_ops.fetch(fetch_input, fetch_var_name + str(i), i)
 
 
@@ -2792,7 +2794,7 @@ def _add_fetch_ops(
             for i, var in enumerate(fetch_list):
                 assert isinstance(
                     var, (Variable, str)
-                ), "Wrong type for fetch_list[%s]: %s" % (i, type(var))
+                ), f"Wrong type for fetch_list[{i}]: {type(var)}"
                 global_block.append_op(
                     type=fetch_op,
                     inputs={'X': [var]},
diff --git a/python/paddle/base/framework.py b/python/paddle/base/framework.py
index d6ec848283fc8..a2d136989e8c9 100644
--- a/python/paddle/base/framework.py
+++ b/python/paddle/base/framework.py
@@ -521,17 +521,19 @@ def version_cmp(ver_a, ver_b):
     if version_cmp(version_installed, zero_version) == 0:
         if max_version is not None:
             warnings.warn(
-                "PaddlePaddle version in [%s, %s] required, but %s installed. "
+                "PaddlePaddle version in [{}, {}] required, but {} installed. "
                 "Maybe you are using a develop version, "
-                "please make sure the version is good with your code."
-                % (min_version, max_version, fluid_version.full_version)
+                "please make sure the version is good with your code.".format(
+                    min_version, max_version, fluid_version.full_version
+                )
             )
         else:
             warnings.warn(
-                "PaddlePaddle version %s or higher is required, but %s installed, "
+                "PaddlePaddle version {} or higher is required, but {} installed, "
                 "Maybe you are using a develop version, "
-                "please make sure the version is good with your code."
-                % (min_version, fluid_version.full_version)
+                "please make sure the version is good with your code.".format(
+                    min_version, fluid_version.full_version
+                )
             )
         return
 
@@ -551,15 +553,17 @@ def version_cmp(ver_a, ver_b):
             or version_cmp(version_installed, min_version_to_check) < 0
         ):
             raise Exception(
-                "VersionError: PaddlePaddle version in [%s, %s] required, but %s installed."
-                % (min_version, max_version, fluid_version.full_version)
+                "VersionError: PaddlePaddle version in [{}, {}] required, but {} installed.".format(
+                    min_version, max_version, fluid_version.full_version
+                )
             )
     else:
         if version_cmp(version_installed, min_version_to_check) < 0:
             raise Exception(
-                "VersionError: PaddlePaddle version %s or higher is required, but %s installed, "
-                "please upgrade your PaddlePaddle to %s or other higher version."
-                % (min_version, fluid_version.full_version, min_version)
+                "VersionError: PaddlePaddle version {} or higher is required, but {} installed, "
+                "please upgrade your PaddlePaddle to {} or other higher version.".format(
+                    min_version, fluid_version.full_version, min_version
+                )
             )
 
 
@@ -623,11 +627,12 @@ def _set_pipeline_stage(stage):
 def _fake_interface_only_(func):
     def __impl__(*args, **kwargs):
         raise AssertionError(
-            "'%s' only can be called by `paddle.Tensor` in dynamic graph mode. Suggestions:\n"
+            "'{}' only can be called by `paddle.Tensor` in dynamic graph mode. Suggestions:\n"
             "  1. If you are in static graph mode, you can switch to dynamic graph mode by turning off `paddle.enable_static()` or calling `paddle.disable_static()`.\n"
             "  2. If you are using `@paddle.jit.to_static`, you can call `paddle.jit.enable_to_static(False)`. "
-            "If you have to translate dynamic graph to static graph, please use other API to replace '%s'."
-            % (func.__name__, func.__name__)
+            "If you have to translate dynamic graph to static graph, please use other API to replace '{}'.".format(
+                func.__name__, func.__name__
+            )
         )
 
     return __impl__
@@ -1882,7 +1887,7 @@ def to_string(self, throw_on_error, with_details=False):
         if with_details:
             additional_attr = ("error_clip",)
             for attr_name in additional_attr:
-                res_str += "%s: %s\n" % (attr_name, getattr(self, attr_name))
+                res_str += f"{attr_name}: {getattr(self, attr_name)}\n"
 
         return res_str
 
@@ -3055,20 +3060,14 @@ def find_name(var_list, name):
                             or m.intermediate
                         ):
                             raise ValueError(
-                                (
-                                    "Incorrect setting for output(s) of "
-                                    "operator \"%s\", should set: [%s]."
-                                )
-                                % (type, m.name)
+                                "Incorrect setting for output(s) of "
+                                f"operator \"{type}\", should set: [{m.name}]."
                             )
                     else:
                         if not ((m.name in outputs) or m.dispensable):
                             raise ValueError(
-                                (
-                                    "Incorrect setting for output(s) of "
-                                    "operator \"%s\", should set: [%s]."
-                                )
-                                % (type, m.name)
+                                "Incorrect setting for output(s) of "
+                                f"operator \"{type}\", should set: [{m.name}]."
                             )
 
                 for out_proto in proto.outputs:
@@ -3110,9 +3109,7 @@ def find_name(var_list, name):
                     self._update_desc_attr(attr_name, attr_val)
                 for attr_name in extra_attrs_map.keys():
                     if os.environ.get('FLAGS_print_extra_attrs', '0') == '1':
-                        warnings.warn(
-                            "op %s use extra_attr: %s" % (type, attr_name)
-                        )
+                        warnings.warn(f"op {type} use extra_attr: {attr_name}")
 
                     if (attr_name not in op_attrs) or (
                         op_attrs[attr_name] is None
@@ -3129,7 +3126,7 @@ def find_name(var_list, name):
                         for attr in attrs:
                             if attr in op_attrs.keys():
                                 warnings.warn(
-                                    "op %s use extra_attr: %s" % (type, attr)
+                                    f"op {type} use extra_attr: {attr}"
                                 )
 
                     if type in special_op_attrs:
@@ -3142,8 +3139,7 @@ def find_name(var_list, name):
                                 and default_value != op_attrs[a_name]
                             ):
                                 warnings.warn(
-                                    "op %s's attr %s = %s is not the default value: %s"
-                                    % (
+                                    "op {}'s attr {} = {} is not the default value: {}".format(
                                         type,
                                         a_name,
                                         op_attrs[a_name],
@@ -3718,8 +3714,9 @@ def check_if_to_static_diff_with_dygraph(op_type, inplace_map, outputs):
                     and inplace_map.get("Input", None) == "Out"
                 ):
                     raise ValueError(
-                        'Sorry about what\'s happend. In to_static mode, %s\'s output variable %s is a viewed Tensor in dygraph. This will result in inconsistent calculation behavior between dynamic and static graphs. If you are sure it is safe, you can call with paddle.base.framework._stride_in_no_check_dy2st_diff() in your safe code block.'
-                        % (op_type, k)
+                        'Sorry about what\'s happend. In to_static mode, {}\'s output variable {} is a viewed Tensor in dygraph. This will result in inconsistent calculation behavior between dynamic and static graphs. If you are sure it is safe, you can call with paddle.base.framework._stride_in_no_check_dy2st_diff() in your safe code block.'.format(
+                            op_type, k
+                        )
                     )
             elif isinstance(v, list):
                 for var in v:
@@ -3729,8 +3726,9 @@ def check_if_to_static_diff_with_dygraph(op_type, inplace_map, outputs):
                             and inplace_map.get("Input", None) == "Out"
                         ):
                             raise ValueError(
-                                'Sorry about what\'s happend. In to_static mode, %s\'s output variable %s is a viewed Tensor in dygraph. This will result in inconsistent calculation behavior between dynamic and static graphs. If you are sure it is safe, you can call with paddle.base.framework._stride_in_no_check_dy2st_diff() in your safe code block.'
-                                % (op_type, k)
+                                'Sorry about what\'s happend. In to_static mode, {}\'s output variable {} is a viewed Tensor in dygraph. This will result in inconsistent calculation behavior between dynamic and static graphs. If you are sure it is safe, you can call with paddle.base.framework._stride_in_no_check_dy2st_diff() in your safe code block.'.format(
+                                    op_type, k
+                                )
                             )
 
 
@@ -7309,7 +7307,7 @@ def to_string(self, throw_on_error, with_details=False):
                 "need_clip",
             )
             for attr_name in additional_attr:
-                res_str += "%s: %s\n" % (attr_name, getattr(self, attr_name))
+                res_str += f"{attr_name}: {getattr(self, attr_name)}\n"
         else:
             res_str = Variable.to_string(self, throw_on_error, False)
         return res_str
diff --git a/python/paddle/base/layers/layer_function_generator.py b/python/paddle/base/layers/layer_function_generator.py
index 390096123ac4e..b0f35af4fefed 100644
--- a/python/paddle/base/layers/layer_function_generator.py
+++ b/python/paddle/base/layers/layer_function_generator.py
@@ -329,8 +329,9 @@ def func(x, name=None):
                 and x.is_view_var
             ):
                 raise ValueError(
-                    'Sorry about what\'s happend. In to_static mode, %s\'s output variable %s is a viewed Tensor in dygraph. This will result in inconsistent calculation behavior between dynamic and static graphs. You mast find the location of the strided API be called, and call %s = %s.assign().'
-                    % (inplace_op_type, x.name, x.name, x.nameb)
+                    'Sorry about what\'s happend. In to_static mode, {}\'s output variable {} is a viewed Tensor in dygraph. This will result in inconsistent calculation behavior between dynamic and static graphs. You mast find the location of the strided API be called, and call {} = {}.assign().'.format(
+                        inplace_op_type, x.name, x.name, x.nameb
+                    )
                 )
             return generate_activation_fn(origin_op_type)(x, name)
 
diff --git a/python/paddle/base/layers/math_op_patch.py b/python/paddle/base/layers/math_op_patch.py
index ba327411264ea..f2b1ac7c6d04d 100644
--- a/python/paddle/base/layers/math_op_patch.py
+++ b/python/paddle/base/layers/math_op_patch.py
@@ -548,10 +548,9 @@ def __impl__(self, other_var):
                 file_name = stack[1]
                 line_num = stack[2]
                 warnings.warn(
-                    "%s:%s\nThe behavior of expression %s has been unified with %s(X, Y, axis=-1) from Paddle 2.0. "
+                    "{}:{}\nThe behavior of expression {} has been unified with {}(X, Y, axis=-1) from Paddle 2.0. "
                     "If your code works well in the older versions but crashes in this version, try to use "
-                    "%s(X, Y, axis=0) instead of %s. This transitional warning will be dropped in the future."
-                    % (
+                    "{}(X, Y, axis=0) instead of {}. This transitional warning will be dropped in the future.".format(
                         file_name,
                         line_num,
                         EXPRESSION_MAP[method_name],
diff --git a/python/paddle/base/trainer_desc.py b/python/paddle/base/trainer_desc.py
index 1533647270dfb..255ddf05a580a 100644
--- a/python/paddle/base/trainer_desc.py
+++ b/python/paddle/base/trainer_desc.py
@@ -237,7 +237,7 @@ def _set_copy_table_config(self, config_dict):
         if len(src_sparse_tables) != len(dest_sparse_tables):
             raise ValueError(
                 "len(src_sparse_tables) != len(dest_sparse_tables),"
-                " %s vs %s" % (len(src_sparse_tables), len(dest_sparse_tables))
+                f" {len(src_sparse_tables)} vs {len(dest_sparse_tables)}"
             )
         for i in src_sparse_tables:
             config.src_sparse_tables.append(i)
@@ -253,7 +253,7 @@ def _set_copy_table_config(self, config_dict):
         if len(src_dense_tables) != len(dest_dense_tables):
             raise ValueError(
                 "len(src_dense_tables) != len(dest_dense_tables),"
-                " %s vs %s" % (len(src_dense_tables), len(dest_dense_tables))
+                f" {len(src_dense_tables)} vs {len(dest_dense_tables)}"
             )
         for i in src_dense_tables:
             config.src_dense_tables.append(i)
@@ -270,8 +270,8 @@ def _set_copy_table_config(self, config_dict):
             dest_var_list = [dest_var_list]
         if len(src_var_list) != len(dest_var_list):
             raise ValueError(
-                "len(src_var_list) != len(dest_var_list), %s vs"
-                " %s" % (len(src_var_list), len(dest_var_list))
+                f"len(src_var_list) != len(dest_var_list), {len(src_var_list)} vs"
+                f" {len(dest_var_list)}"
             )
         for i in src_var_list:
             config.src_var_list.append(i)