enhance shape check if use user_defined_grads in check_grad (#22722)

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

@@ -70,8 +70,6 @@ def get_numeric_gradient(place,
 
     tensor_to_check = scope.find_var(input_to_check).get_tensor()
     tensor_size = product(tensor_to_check.shape())
-    if tensor_size < 100:
-        get_numeric_gradient.is_large_shape = False
     tensor_to_check_dtype = tensor_to_check._dtype()
     if tensor_to_check_dtype == core.VarDesc.VarType.FP32:
         tensor_to_check_dtype = np.float32
@@ -178,14 +176,13 @@ class OpTest(unittest.TestCase):
         cls.call_once = False
         cls.dtype = None
         cls.outputs = {}
+        cls.input_shape_is_large = True
 
         np.random.seed(123)
         random.seed(124)
 
         cls._use_system_allocator = _set_use_system_allocator(True)
 
-        get_numeric_gradient.is_large_shape = True
-
     @classmethod
     def tearDownClass(cls):
         """Restore random seeds"""
@@ -238,7 +235,7 @@ class OpTest(unittest.TestCase):
                     "This test of %s op needs check_grad with fp64 precision." %
                     cls.op_type)
 
-            if not get_numeric_gradient.is_large_shape \
+            if not cls.input_shape_is_large \
                 and cls.op_type not in check_shape_white_list.NEED_TO_FIX_OP_LIST:
                 raise AssertionError(
                     "Input's shape should be large than or equal to 100 for " +
@@ -1319,6 +1316,14 @@ class OpTest(unittest.TestCase):
                 raise AssertionError("no_grad_set must be None, op_type is " +
                                      self.op_type + " Op.")
 
+        for input_to_check in inputs_to_check:
+            set_input(self.scope, self.op, self.inputs, place)
+            tensor_to_check = self.scope.find_var(input_to_check).get_tensor()
+            tensor_size = six.moves.reduce(lambda a, b: a * b,
+                                           tensor_to_check.shape(), 1)
+            if tensor_size < 100:
+                self.__class__.input_shape_is_large = False
+
         if not type(output_names) is list:
             output_names = [output_names]
 

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

@@ -30,4 +30,5 @@ NEED_TO_FIX_OP_LIST = [
     'soft_relu',
     'squared_l2_distance',
     'tree_conv',
+    'cvm',
 ]