change input data type and decrease max_relative_error value in...

change input data type and decrease max_relative_error value in test_check_grad for grop_nom_op test test=develop (#21608)

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

@@ -44,7 +44,7 @@ class TestGroupNormOp(OpTest):
     def setUp(self):
         self.op_type = "group_norm"
         self.data_format = "NCHW"
-        self.dtype = np.float32
+        self.dtype = np.float64
         self.shape = (2, 4, 3, 3)
         self.attrs = {'epsilon': 1e-5, 'groups': 2, 'data_layout': "NCHW"}
         self.compare_between_place = False
@@ -113,7 +113,7 @@ class TestGroupNormOp(OpTest):
                 place,
                 set(['X', 'Scale', 'Bias']),
                 'Y',
-                max_relative_error=0.01)
+                max_relative_error=0.005)
 
     def init_test_case(self):
         pass
@@ -193,19 +193,19 @@ class TestGroupNormOpLargeData_With_NHWC(TestGroupNormOp):
         self.compare_between_place = True
 
 
-class TestGroupNormAPI_With_NHWC(OpTest):
+class TestGroupNormAPI_With_NHWC(unittest.TestCase):
     def test_case1(self):
-        data1 = fluid.data(name='data1', shape=[None, 3, 3, 4], dtype='float32')
+        data1 = fluid.data(name='data1', shape=[None, 3, 3, 4], dtype='float64')
         out1 = fluid.layers.group_norm(
             input=data1, groups=2, data_layout="NHWC")
-        data2 = fluid.data(name='data2', shape=[None, 4, 3, 3], dtype='float32')
+        data2 = fluid.data(name='data2', shape=[None, 4, 3, 3], dtype='float64')
         out2 = fluid.layers.group_norm(
             input=data2, groups=2, data_layout="NCHW")
 
-        data1_np = np.random.random((2, 3, 3, 4)).astype("float32")
-        data2_np = np.random.random((2, 4, 3, 3)).astype("float32")
-        scale = np.array([1]).astype("float32")
-        bias = np.array([0]).astype("float32")
+        data1_np = np.random.random((2, 3, 3, 4)).astype("float64")
+        data2_np = np.random.random((2, 4, 3, 3)).astype("float64")
+        scale = np.array([1]).astype("float64")
+        bias = np.array([0]).astype("float64")
 
         place = core.CPUPlace()
         exe = fluid.Executor(place)
@@ -225,7 +225,7 @@ class TestGroupNormAPI_With_NHWC(OpTest):
 class TestGroupNormException(unittest.TestCase):
     # data_layout is not NHWC or NCHW
     def test_exception(self):
-        data = fluid.data(name='data', shape=[None, 3, 3, 4], dtype="float32")
+        data = fluid.data(name='data', shape=[None, 3, 3, 4], dtype="float64")
 
         def attr_data_format():
             out = fluid.layers.group_norm(