[PIR] Migrate paddle.round into pir (#58005)

MarioLulab · web-flow · commit 2bcb871cbbd8 · 2023-10-17T10:18:52.000+08:00
diff --git a/python/paddle/tensor/ops.py b/python/paddle/tensor/ops.py
@@ -839,7 +839,7 @@ def round(x, name=None):
             Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True,
             [-1., -0.,  1.,  2.])
     """
-    if in_dynamic_mode():
+    if in_dynamic_or_pir_mode():
         return _C_ops.round(x)
     else:
         check_variable_and_dtype(
diff --git a/test/legacy_test/test_activation_op.py b/test/legacy_test/test_activation_op.py
@@ -2296,6 +2296,9 @@ def setUp(self):
     def init_shape(self):
         self.shape = [10, 12]
 
+    def test_check_output(self):
+        self.check_output(check_pir=True)
+
     def test_check_grad(self):
         pass
 
@@ -4679,7 +4682,7 @@ def test_check_grad(self):
 create_test_act_fp16_class(TestAcosh)
 create_test_act_fp16_class(TestAsinh)
 create_test_act_fp16_class(TestAtanh)
-create_test_act_fp16_class(TestRound, grad_check=False)
+create_test_act_fp16_class(TestRound, grad_check=False, check_pir=True)
 create_test_act_fp16_class(
     TestRelu, check_prim=True, enable_cinn=True, check_pir=True
 )
@@ -4831,7 +4834,7 @@ def test_check_grad(self):
 create_test_act_bf16_class(TestAcosh)
 create_test_act_bf16_class(TestAsinh)
 create_test_act_bf16_class(TestAtanh)
-create_test_act_bf16_class(TestRound, grad_check=False)
+create_test_act_bf16_class(TestRound, grad_check=False, check_pir=True)
 create_test_act_bf16_class(TestRelu, check_prim=True, check_pir=True)
 create_test_act_bf16_class(
     TestGelu,
diff --git a/test/mkldnn/test_activation_mkldnn_op.py b/test/mkldnn/test_activation_mkldnn_op.py
@@ -482,6 +482,14 @@ def setUp(self):
         self.outputs = {'Out': out}
         self.attrs = {"use_mkldnn": True}
 
+    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', check_pir=True)
+
 
 class TestMKLDNNRound_ZeroDim(TestActivation_ZeroDim):
     def setUp(self):
@@ -494,6 +502,14 @@ def setUp(self):
         self.outputs = {'Out': out}
         self.attrs = {"use_mkldnn": True}
 
+    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', check_pir=True)
+
 
 class TestMKLDNNSigmoidDim4(TestSigmoid):
     def setUp(self):
