fix deformable_conv small cases, test=develop (#22441)

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

@@ -154,32 +154,11 @@ class TestModulatedDeformableConvOp(OpTest):
             'Output',
             max_relative_error=0.05)
 
-    def test_check_grad_no_filter(self):
-        self.check_grad(
-            ['Input', 'Offset', 'Mask'],
-            'Output',
-            max_relative_error=0.1,
-            no_grad_set=set(['Filter']))
-
-    def test_check_grad_no_input(self):
-        self.check_grad(
-            ['Filter', 'Offset', 'Mask'],
-            'Output',
-            max_relative_error=0.1,
-            no_grad_set=set(['Input']))
-
-    def test_check_grad_no_offset_no_mask(self):
-        self.check_grad(
-            ['Input', 'Filter'],
-            'Output',
-            max_relative_error=0.1,
-            no_grad_set=set(['Offset', 'Mask']))
-
     def init_test_case(self):
         self.pad = [1, 1]
         self.stride = [1, 1]
         self.dilations = [1, 1]
-        self.input_size = [2, 4, 4, 4]  # NCHW
+        self.input_size = [2, 8, 4, 4]  # NCHW
         assert np.mod(self.input_size[1], self.groups) == 0
         f_c = self.input_size[1] // self.groups
         self.filter_size = [4, f_c, 3, 3]
@@ -229,7 +208,7 @@ class TestWithDilation(TestModulatedDeformableConvOp):
     def init_test_case(self):
         self.pad = [2, 2]
         self.stride = [1, 1]
-        self.input_size = [2, 3, 4, 4]  # NCHW
+        self.input_size = [4, 3, 4, 4]  # NCHW
         assert np.mod(self.input_size[1], self.groups) == 0
         f_c = self.input_size[1] // self.groups
         self.filter_size = [6, f_c, 3, 3]
@@ -250,14 +229,14 @@ class TestWithDilation(TestModulatedDeformableConvOp):
         self.dilations = [2, 2]
 
 
-class TestWith1x1(TestModulatedDeformableConvOp):
+class TestWith3x3(TestModulatedDeformableConvOp):
     def init_test_case(self):
-        self.pad = [0, 0]
+        self.pad = [1, 1]
         self.stride = [1, 1]
         self.input_size = [2, 3, 5, 5]  # NCHW
         assert np.mod(self.input_size[1], self.groups) == 0
         f_c = self.input_size[1] // self.groups
-        self.filter_size = [6, f_c, 1, 1]
+        self.filter_size = [6, f_c, 3, 3]
         self.im2col_step = 1
         self.deformable_groups = 1
         offset_c = 2 * self.deformable_groups * self.filter_size[

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

@@ -21,7 +21,6 @@ NEED_TO_FIX_OP_LIST = [
     'fused_elemwise_activation',
     'bilinear_tensor_product',
     'conv2d_transpose',
-    'deformable_conv',
     'depthwise_conv2d_transpose',
     'grid_sampler',
     'hierarchical_sigmoid',