fix unittest for spp op, test=develop (#22030)

fix unittest for spp op

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

@@ -62,11 +62,10 @@ class TestSppOp(OpTest):
         self.check_output()
 
     def test_check_grad(self):
-        if self.pool_type != "avg":
-            self.check_grad(['X'], 'Out', max_relative_error=0.05)
+        self.check_grad(['X'], 'Out')
 
     def init_test_case(self):
-        self.shape = [4, 2, 4, 4]
+        self.shape = [3, 2, 4, 4]
         self.pyramid_height = 3
         self.pool2D_forward_naive = max_pool2D_forward_naive
         self.pool_type = "max"
@@ -74,7 +73,7 @@ class TestSppOp(OpTest):
 
 class TestCase2(TestSppOp):
     def init_test_case(self):
-        self.shape = [3, 2, 4, 4]
+        self.shape = [3, 2, 16, 16]
         self.pyramid_height = 3
         self.pool2D_forward_naive = avg_pool2D_forward_naive
         self.pool_type = "avg"

python/paddle/fluid/tests/unittests/white_list/op_accuracy_white_list.py

@@ -28,9 +28,9 @@ NO_FP64_CHECK_GRAD_OP_LIST = [
     'reduce_min', 'relu', 'reshape2', 'roi_perspective_transform', 'row_conv',
     'scale', 'scatter', 'sequence_conv', 'sequence_pool', 'sequence_reverse',
     'sequence_slice', 'sequence_topk_avg_pooling', 'shuffle_channel', 'sigmoid',
-    'smooth_l1_loss', 'softmax', 'spectral_norm', 'spp', 'sqrt',
-    'squared_l2_distance', 'squared_l2_norm', 'tanh', 'transpose2',
-    'trilinear_interp', 'var_conv_2d', 'warpctc'
+    'smooth_l1_loss', 'softmax', 'spectral_norm', 'sqrt', 'squared_l2_distance',
+    'squared_l2_norm', 'tanh', 'transpose2', 'trilinear_interp', 'var_conv_2d',
+    'warpctc'
 ]
 
 NO_FP16_CHECK_GRAD_OP_LIST = [