PaddlePaddle
diff --git a/‎python/paddle/nn/functional/activation.py
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+5-5Lines changed: 5 additions & 5 deletions b/‎python/paddle/nn/functional/activation.py
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+5-5Lines changed: 5 additions & 5 deletions
diff --git a/‎test/legacy_test/test_activation_op.py
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+12-4Lines changed: 12 additions & 4 deletions b/‎test/legacy_test/test_activation_op.py
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+12-4Lines changed: 12 additions & 4 deletions
diff --git a/‎test/legacy_test/test_maxout_op.py
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+5-2Lines changed: 5 additions & 2 deletions b/‎test/legacy_test/test_maxout_op.py
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+5-2Lines changed: 5 additions & 2 deletions
@@ -712,7 +712,7 @@ def rrelu(x, lower=1.0 / 8.0, upper=1.0 / 3.0, training=True, name=None):
 
     is_test = not training
 
-    if in_dynamic_mode():
+    if in_dynamic_or_pir_mode():
         return _C_ops.rrelu(x, lower, upper, is_test)
     else:
         check_variable_and_dtype(
@@ -886,7 +886,7 @@ def maxout(x, groups, axis=1, name=None):
                [0.42400089, 0.40641287, 0.97020894, 0.74437362],
                [0.51785129, 0.73292869, 0.97786582, 0.92382854]]]])
     """
-    if in_dynamic_mode():
+    if in_dynamic_or_pir_mode():
         return _C_ops.maxout(x, groups, axis)
     else:
         check_variable_and_dtype(
@@ -1007,7 +1007,7 @@ def selu(
             f"The alpha must be no less than zero. Received: {alpha}."
         )
 
-    if in_dynamic_mode():
+    if in_dynamic_or_pir_mode():
         return _C_ops.selu(x, scale, alpha)
     else:
         check_variable_and_dtype(
@@ -1533,7 +1533,7 @@ def tanhshrink(x, name=None):
             Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True,
             [-0.02005100, -0.00262472,  0.00033201,  0.00868741])
     """
-    if in_dynamic_mode():
+    if in_dynamic_or_pir_mode():
         return _C_ops.tanh_shrink(x)
     else:
         check_variable_and_dtype(
@@ -1583,7 +1583,7 @@ def thresholded_relu(x, threshold=1.0, name=None):
             [2., 0., 0.])
     """
 
-    if in_dynamic_mode():
+    if in_dynamic_or_pir_mode():
         return _C_ops.thresholded_relu(x, threshold)
     else:
         check_variable_and_dtype(
 
@@ -1162,7 +1162,10 @@ def setUp(self):
     def test_check_grad(self):
         if self.dtype == np.float16:
             return
-        self.check_grad(['X'], 'Out')
+        self.check_grad(['X'], 'Out', check_pir=True)
+
+    def test_check_output(self):
+        self.check_output(check_pir=True)
 
 
 class TestTanhshrink_ZeroDim(TestTanhshrink):
@@ -1181,6 +1184,7 @@ def setUp(self):
             else paddle.CPUPlace()
         )
 
+    @test_with_pir_api
     def test_static_api(self):
         with static_guard():
             with paddle.static.program_guard(paddle.static.Program()):
@@ -4317,7 +4321,10 @@ def init_shape(self):
     def test_check_grad(self):
         if self.dtype == np.float16:
             return
-        self.check_grad(['X'], 'Out')
+        self.check_grad(['X'], 'Out', check_pir=True)
+
+    def test_check_output(self):
+        self.check_output(check_pir=True)
 
 
 class TestThresholdedRelu_ZeroDim(TestThresholdedRelu):
@@ -4338,6 +4345,7 @@ def setUp(self):
             else paddle.CPUPlace()
         )
 
+    @test_with_pir_api
     def test_static_api(self):
         with static_guard():
             with paddle.static.program_guard(paddle.static.Program()):
@@ -4805,7 +4813,7 @@ def test_check_grad(self):
 create_test_act_fp16_class(
     TestTanh, check_prim=True, check_prim_pir=True, enable_cinn=True
 )
-create_test_act_fp16_class(TestTanhshrink)
+create_test_act_fp16_class(TestTanhshrink, check_pir=True)
 create_test_act_fp16_class(TestHardShrink, check_pir=True)
 create_test_act_fp16_class(TestSoftshrink, check_pir=True)
 create_test_act_fp16_class(
@@ -4980,7 +4988,7 @@ def test_check_grad(self):
 create_test_act_bf16_class(TestSilu, check_prim=True, check_prim_pir=True)
 create_test_act_bf16_class(TestLogSigmoid)
 create_test_act_bf16_class(TestTanh, check_prim=True, check_prim_pir=True)
-create_test_act_bf16_class(TestTanhshrink)
+create_test_act_bf16_class(TestTanhshrink, check_pir=True)
 create_test_act_bf16_class(TestHardShrink, check_pir=True)
 create_test_act_bf16_class(TestSoftshrink, check_pir=True)
 create_test_act_bf16_class(
 
@@ -20,6 +20,7 @@
 import paddle
 import paddle.nn.functional as F
 from paddle.base import core
+from paddle.pir_utils import test_with_pir_api
 
 paddle.enable_static()
 np.random.seed(1)
@@ -57,10 +58,10 @@ def set_attrs(self):
         pass
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_pir=True)
 
     def test_check_grad(self):
-        self.check_grad(['X'], 'Out')
+        self.check_grad(['X'], 'Out', check_pir=True)
 
 
 class TestMaxOutOpAxis0(TestMaxOutOp):
@@ -95,6 +96,7 @@ def setUp(self):
             else paddle.CPUPlace()
         )
 
+    @test_with_pir_api
     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)
@@ -161,6 +163,7 @@ def setUp(self):
         self.axis = 1
         self.place = paddle.CUDAPlace(0)
 
+    @test_with_pir_api
     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)