diff --git a/python/paddle/tensor/math.py b/python/paddle/tensor/math.py
index 319504a8db2702..ae3d6121061a64 100644
--- a/python/paddle/tensor/math.py
+++ b/python/paddle/tensor/math.py
@@ -4271,7 +4271,7 @@ def cumprod(x, dim=None, dtype=None, name=None):
     if dtype is not None and x.dtype != convert_np_dtype_to_dtype_(dtype):
         x = cast(x, dtype)
 
-    if in_dynamic_mode():
+    if in_dynamic_or_pir_mode():
         return _C_ops.cumprod(x, dim)
     else:
         check_variable_and_dtype(
@@ -4981,7 +4981,7 @@ def digamma(x, name=None):
              [ nan       ,  5.32286835]])
     """
 
-    if in_dynamic_mode():
+    if in_dynamic_or_pir_mode():
         return _C_ops.digamma(x)
     else:
         check_variable_and_dtype(
@@ -5337,7 +5337,7 @@ def erfinv(x, name=None):
             [ 0.       , 0.47693631, -inf.     ])
 
     """
-    if in_dynamic_mode():
+    if in_dynamic_or_pir_mode():
         return _C_ops.erfinv(x)
     else:
         check_variable_and_dtype(
diff --git a/test/legacy_test/test_cumprod_op.py b/test/legacy_test/test_cumprod_op.py
index da3db1ee1ef6f6..d51d1af65837f8 100644
--- a/test/legacy_test/test_cumprod_op.py
+++ b/test/legacy_test/test_cumprod_op.py
@@ -124,7 +124,7 @@ def test_check_output(self):
         for dim in range(-len(self.shape), len(self.shape)):
             for zero_num in self.zero_nums:
                 self.prepare_inputs_outputs_attrs(dim, zero_num)
-                self.check_output()
+                self.check_output(check_pir=True)
 
     # test backward.
     def test_check_grad(self):
@@ -133,13 +133,14 @@ def test_check_grad(self):
                 self.prepare_inputs_outputs_attrs(dim, zero_num)
                 self.init_grad_input_output(dim)
                 if self.dtype == np.float64:
-                    self.check_grad(['X'], 'Out')
+                    self.check_grad(['X'], 'Out', check_pir=True)
                 else:
                     self.check_grad(
                         ['X'],
                         'Out',
                         user_defined_grads=[self.grad_x],
                         user_defined_grad_outputs=[self.grad_out],
+                        check_pir=True,
                     )
 
 
diff --git a/test/legacy_test/test_digamma_op.py b/test/legacy_test/test_digamma_op.py
index 04bb768a5b179e..a470e2172be223 100644
--- a/test/legacy_test/test_digamma_op.py
+++ b/test/legacy_test/test_digamma_op.py
@@ -42,10 +42,10 @@ def init_dtype_type(self):
         self.dtype = np.float64
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_pir=True)
 
     def test_check_grad_normal(self):
-        self.check_grad(['X'], 'Out')
+        self.check_grad(['X'], 'Out', check_pir=True)
 
 
 class TestDigammaOpFp32(TestDigammaOp):
@@ -53,7 +53,7 @@ def init_dtype_type(self):
         self.dtype = np.float32
 
     def test_check_grad_normal(self):
-        self.check_grad(['X'], 'Out')
+        self.check_grad(['X'], 'Out', check_pir=True)
 
 
 class TestDigammaFP16Op(TestDigammaOp):
@@ -87,10 +87,12 @@ def init_dtype_type(self):
 
     def test_check_output(self):
         # bfloat16 needs to set the parameter place
-        self.check_output_with_place(core.CUDAPlace(0))
+        self.check_output_with_place(core.CUDAPlace(0), check_pir=True)
 
     def test_check_grad_normal(self):
-        self.check_grad_with_place(core.CUDAPlace(0), ['X'], 'Out')
+        self.check_grad_with_place(
+            core.CUDAPlace(0), ['X'], 'Out', check_pir=True
+        )
 
 
 class TestDigammaAPI(unittest.TestCase):
diff --git a/test/legacy_test/test_erfinv_op.py b/test/legacy_test/test_erfinv_op.py
index 3108f8520d5328..e9eb1d668ada8c 100644
--- a/test/legacy_test/test_erfinv_op.py
+++ b/test/legacy_test/test_erfinv_op.py
@@ -44,7 +44,7 @@ def init_dtype(self):
         self.dtype = np.float64
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_pir=True)
 
     def test_check_grad(self):
         self.check_grad(
@@ -52,6 +52,7 @@ def test_check_grad(self):
             'Out',
             user_defined_grads=[self.gradient],
             user_defined_grad_outputs=self.grad_out,
+            check_pir=True,
         )
 
 
@@ -143,15 +144,11 @@ def setUp(self):
 
     def test_check_output(self):
         place = core.CUDAPlace(0)
-        self.check_output_with_place(place)
+        self.check_output_with_place(place, check_pir=True)
 
     def test_check_grad(self):
         place = core.CUDAPlace(0)
-        self.check_grad_with_place(
-            place,
-            ['X'],
-            'Out',
-        )
+        self.check_grad_with_place(place, ['X'], 'Out', check_pir=True)
 
 
 if __name__ == "__main__":