[PIR] Migrate paddle.nn.Sigmoid into pir (#58144)

MarioLulab · web-flow · commit 5e37d2d6a77b · 2023-10-17T21:14:48.000+08:00
diff --git a/python/paddle/tensor/ops.py b/python/paddle/tensor/ops.py
@@ -916,7 +916,7 @@ def sigmoid(x, name=None):
             Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True,
             [0.40131235, 0.45016602, 0.52497917, 0.57444251])
     """
-    if in_dynamic_mode():
+    if in_dynamic_or_pir_mode():
         return _C_ops.sigmoid(x)
     else:
         check_variable_and_dtype(
diff --git a/test/legacy_test/test_activation_op.py b/test/legacy_test/test_activation_op.py
@@ -388,25 +388,35 @@ def init_dtype(self):
     def if_enable_cinn(self):
         pass
 
+    def test_check_output(self):
+        self.check_output(check_pir=True)
+
     def test_check_grad(self):
         if self.dtype == np.float16:
             return
-        self.check_grad(['X'], 'Out', max_relative_error=0.01, check_prim=True)
+        self.check_grad(
+            ['X'],
+            'Out',
+            max_relative_error=0.01,
+            check_prim=True,
+            check_pir=True,
+        )
 
 
 class TestSigmoid_Complex64(TestSigmoid):
     def init_dtype(self):
         self.dtype = np.complex64
 
     def test_check_output(self):
-        self.check_output(check_prim=False)
+        self.check_output(check_prim=False, check_pir=True)
 
     def test_check_grad(self):
         self.check_grad(
             ['X'],
             'Out',
             max_relative_error=0.006,
             check_prim=False,
+            check_pir=True,
         )
 
 
@@ -415,11 +425,7 @@ def init_dtype(self):
         self.dtype = np.complex128
 
     def test_check_grad(self):
-        self.check_grad(
-            ['X'],
-            'Out',
-            check_prim=False,
-        )
+        self.check_grad(['X'], 'Out', check_prim=False, check_pir=True)
 
 
 class TestSigmoid_ZeroDim(TestSigmoid):
@@ -460,12 +466,13 @@ def if_enable_cinn(self):
 
     def test_check_output(self):
         place = core.CUDAPlace(0)
-        # elementwise_pow doesn't support bfloat16, skip check_prim here.
-        self.check_output_with_place(place, check_prim=True)
+        self.check_output_with_place(place, check_prim=True, check_pir=True)
 
     def test_check_grad(self):
         place = core.CUDAPlace(0)
-        self.check_grad_with_place(place, ['X'], 'Out', check_prim=True)
+        self.check_grad_with_place(
+            place, ['X'], 'Out', check_prim=True, check_pir=True
+        )
 
 
 '''
@@ -4652,7 +4659,9 @@ def test_check_grad(self):
     TestExpFp32_Prim, check_prim=True, enable_cinn=True, check_prim_pir=True
 )
 create_test_act_fp16_class(TestExpm1)
-create_test_act_fp16_class(TestSigmoid, check_prim=True, enable_cinn=True)
+create_test_act_fp16_class(
+    TestSigmoid, check_prim=True, enable_cinn=True, check_pir=True
+)
 create_test_act_fp16_class(
     TestSilu, check_prim=True, enable_cinn=True, check_prim_pir=True
 )
@@ -4822,7 +4831,7 @@ def test_check_grad(self):
     TestExpFp32_Prim, check_prim=True, check_prim_pir=True
 )
 create_test_act_bf16_class(TestExpm1)
-create_test_act_bf16_class(TestSigmoid, check_prim=True)
+create_test_act_bf16_class(TestSigmoid, check_prim=True, check_pir=True)
 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)
