fix spp test (#22675)

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

@@ -25,8 +25,11 @@ class TestSppOp(OpTest):
     def setUp(self):
         self.op_type = "spp"
         self.init_test_case()
-        input = np.random.random(self.shape).astype("float64")
-        nsize, csize, hsize, wsize = input.shape
+        nsize, csize, hsize, wsize = self.shape
+        data = np.array(list(range(nsize * csize * hsize * wsize)))
+        input = data.reshape(self.shape)
+        input_random = np.random.random(self.shape).astype("float64")
+        input = input + input_random
         out_level_flatten = []
         for i in range(self.pyramid_height):
             bins = np.power(2, i)
@@ -55,7 +58,6 @@ class TestSppOp(OpTest):
             'pyramid_height': self.pyramid_height,
             'pooling_type': self.pool_type
         }
-
         self.outputs = {'Out': output.astype('float64')}
 
     def test_check_output(self):
@@ -65,7 +67,7 @@ class TestSppOp(OpTest):
         self.check_grad(['X'], 'Out')
 
     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 = max_pool2D_forward_naive
         self.pool_type = "max"

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

@@ -29,7 +29,6 @@ NEED_TO_FIX_OP_LIST = [
     'scatter',
     'smooth_l1_loss',
     'soft_relu',
-    'spp',
     'squared_l2_distance',
     'tree_conv',
 ]