remove skip_check in test_activation_mkldnn_op, test=develop (#22376)

* remove skip_check in test_activation_mkldnn_op, test=develop

python/paddle/fluid/tests/unittests/mkldnn/test_activation_mkldnn_op.py

@@ -17,7 +17,7 @@ from __future__ import print_function
 import unittest
 import numpy as np
 import paddle.fluid.core as core
-from paddle.fluid.tests.unittests.op_test import OpTest, skip_check_grad_ci
+from paddle.fluid.tests.unittests.op_test import OpTest
 from paddle.fluid.tests.unittests.test_activation_op import TestRelu, TestTanh, TestSqrt, TestAbs, TestLeakyRelu
 from mkldnn_op_test import check_if_mkldnn_primitives_exist_in_bwd
 
@@ -111,7 +111,6 @@ class TestMKLDNNAbsDim2(TestAbs):
             ['X'], 'Out', max_relative_error=0.007, check_dygraph=False)
 
 
-@skip_check_grad_ci(reason="Use float32 in mkldnn relu op.")
 class TestMKLDNNReluDim4(TestRelu):
     def setUp(self):
         super(TestMKLDNNReluDim4, self).setUp()

python/paddle/fluid/tests/unittests/op_test.py

@@ -208,12 +208,7 @@ class OpTest(unittest.TestCase):
             return True
 
         def is_mkldnn_op_test():
-            if (hasattr(cls, "use_mkldnn") and cls.use_mkldnn == True) or \
-                (hasattr(cls, "attrs") and "use_mkldnn" in cls.attrs and \
-                    cls.attrs["use_mkldnn"] == True):
-                return True
-            else:
-                return False
+            return hasattr(cls, "use_mkldnn") and cls.use_mkldnn == True
 
         if not hasattr(cls, "op_type"):
             raise AssertionError(
@@ -321,8 +316,10 @@ class OpTest(unittest.TestCase):
 
     def _append_ops(self, block):
         self.__class__.op_type = self.op_type  # for ci check, please not delete it for now
-        if hasattr(self, "use_mkldnn"):
-            self.__class__.use_mkldnn = self.use_mkldnn
+        if (hasattr(self, "use_mkldnn") and self.use_mkldnn == True) or \
+            (hasattr(self, "attrs") and "use_mkldnn" in self.attrs and \
+                    self.attrs["use_mkldnn"] == True):
+            self.__class__.use_mkldnn = True
         op_proto = OpProtoHolder.instance().get_op_proto(self.op_type)
         "infer datatype from inputs and outputs for this test case"
         self.infer_dtype_from_inputs_outputs(self.inputs, self.outputs)
@@ -1189,8 +1186,10 @@ class OpTest(unittest.TestCase):
                      check_dygraph=True,
                      inplace_atol=None):
         self.__class__.op_type = self.op_type
-        if hasattr(self, "use_mkldnn"):
-            self.__class__.use_mkldnn = self.use_mkldnn
+        if (hasattr(self, "use_mkldnn") and self.use_mkldnn == True) or \
+            (hasattr(self, "attrs") and "use_mkldnn" in self.attrs and \
+                    self.attrs["use_mkldnn"] == True):
+            self.__class__.use_mkldnn = True
         places = self._get_places()
         for place in places:
             res = self.check_output_with_place(place, atol, no_check_set,