diff --git a/paddle/phi/kernels/funcs/activation_functor.h b/paddle/phi/kernels/funcs/activation_functor.h
index 69e85edc76586a..50b2c1091d2a2a 100644
--- a/paddle/phi/kernels/funcs/activation_functor.h
+++ b/paddle/phi/kernels/funcs/activation_functor.h
@@ -1803,8 +1803,9 @@ struct ThresholdedReluFunctor : public BaseActivationFunctor<T> {
   template <typename Device, typename X, typename Out>
   void operator()(Device d, X x, Out out) const {
     auto th = static_cast<T>(threshold);  // NOLINT
-    auto va = static_cast<T>(value);  // NOLINT
-    out.device(d) = (x > th).template cast<T>() * x + (x <= th).template cast<T>() * va;
+    auto va = static_cast<T>(value);      // NOLINT
+    out.device(d) =
+        (x > th).template cast<T>() * x + (x <= th).template cast<T>() * va;
   }
 };
 
diff --git a/test/legacy_test/test_activation_op.py b/test/legacy_test/test_activation_op.py
index 0513f1a2d5d8fa..e583e858c53def 100644
--- a/test/legacy_test/test_activation_op.py
+++ b/test/legacy_test/test_activation_op.py
@@ -4358,11 +4358,15 @@ def test_static_api(self):
             with paddle.static.program_guard(paddle.static.Program()):
                 x = paddle.static.data('X', self.x_np.shape, self.x_np.dtype)
                 out1 = F.thresholded_relu(x, self.threshold, self.value)
-                thresholded_relu = paddle.nn.ThresholdedReLU(self.threshold, self.value)
+                thresholded_relu = paddle.nn.ThresholdedReLU(
+                    self.threshold, self.value
+                )
                 out2 = thresholded_relu(x)
                 exe = paddle.static.Executor(self.place)
                 res = exe.run(feed={'X': self.x_np}, fetch_list=[out1, out2])
-            out_ref = ref_thresholded_relu(self.x_np, self.threshold, self.value)
+            out_ref = ref_thresholded_relu(
+                self.x_np, self.threshold, self.value
+            )
             for r in res:
                 np.testing.assert_allclose(out_ref, r, rtol=1e-05)
 
@@ -4370,9 +4374,13 @@ def test_dygraph_api(self):
         with dynamic_guad():
             x = paddle.to_tensor(self.x_np)
             out1 = F.thresholded_relu(x, self.threshold, self.value)
-            thresholded_relu = paddle.nn.ThresholdedReLU(self.threshold, self.value)
+            thresholded_relu = paddle.nn.ThresholdedReLU(
+                self.threshold, self.value
+            )
             out2 = thresholded_relu(x)
-            out_ref = ref_thresholded_relu(self.x_np, self.threshold, self.value)
+            out_ref = ref_thresholded_relu(
+                self.x_np, self.threshold, self.value
+            )
             for r in [out1, out2]:
                 np.testing.assert_allclose(out_ref, r.numpy(), rtol=1e-05)