diff --git a/demo/mask_rcnn_demo.ipynb b/demo/mask_rcnn_demo.ipynb
index f767cf748813134706de393be22bbee79b04fa25..5027ce1e4518254d1ef30ea512df2a8319a6e9ff 100644
--- a/demo/mask_rcnn_demo.ipynb
+++ b/demo/mask_rcnn_demo.ipynb
@@ -216,7 +216,7 @@
     "with fluid.program_guard(infer_prog, startup_prog):\n",
     "    with fluid.unique_name.guard():\n",
     "        feed_vars = {\n",
-    "            var['name']: fluid.layers.data(\n",
+    "            var['name']: fluid.data(\n",
     "                name=var['name'],\n",
     "                shape=var['shape'],\n",
     "                dtype='float32',\n",
diff --git a/ppdet/modeling/architectures/cascade_mask_rcnn.py b/ppdet/modeling/architectures/cascade_mask_rcnn.py
index 335e53cd1fdf11768a912a965b7faedca82e149d..168ce29aa5595691c00aac8f2dd48ad750dd21ef 100644
--- a/ppdet/modeling/architectures/cascade_mask_rcnn.py
+++ b/ppdet/modeling/architectures/cascade_mask_rcnn.py
@@ -411,7 +411,7 @@ class CascadeMaskRCNN(object):
                         'lod_level': 1
                     }
                 fields += box_fields
-        feed_vars = OrderedDict([(key, fluid.layers.data(
+        feed_vars = OrderedDict([(key, fluid.data(
             name=key,
             shape=inputs_def[key]['shape'],
             dtype=inputs_def[key]['dtype'],
diff --git a/ppdet/modeling/architectures/cascade_rcnn.py b/ppdet/modeling/architectures/cascade_rcnn.py
index 7f57d932d588121c9fef57148984e79e85b63fad..b239e4d6615497c98aca00788154c0ee2920e2b2 100644
--- a/ppdet/modeling/architectures/cascade_rcnn.py
+++ b/ppdet/modeling/architectures/cascade_rcnn.py
@@ -312,7 +312,7 @@ class CascadeRCNN(object):
             fields += ms_fields
             self.im_info_names = ['image', 'im_info'] + ms_fields
 
-        feed_vars = OrderedDict([(key, fluid.layers.data(
+        feed_vars = OrderedDict([(key, fluid.data(
             name=key,
             shape=inputs_def[key]['shape'],
             dtype=inputs_def[key]['dtype'],
diff --git a/ppdet/modeling/architectures/cascade_rcnn_cls_aware.py b/ppdet/modeling/architectures/cascade_rcnn_cls_aware.py
index 2f9696db946acdbd6dbd0e05a9a569d63da8fc69..4c3955fd502fd9626da1a0f15b348a9b3f6c63fc 100644
--- a/ppdet/modeling/architectures/cascade_rcnn_cls_aware.py
+++ b/ppdet/modeling/architectures/cascade_rcnn_cls_aware.py
@@ -195,7 +195,7 @@ class CascadeRCNNClsAware(object):
                      use_dataloader=True,
                      iterable=False):
         inputs_def = self._inputs_def(image_shape)
-        feed_vars = OrderedDict([(key, fluid.layers.data(
+        feed_vars = OrderedDict([(key, fluid.data(
             name=key,
             shape=inputs_def[key]['shape'],
             dtype=inputs_def[key]['dtype'],
diff --git a/ppdet/modeling/architectures/faster_rcnn.py b/ppdet/modeling/architectures/faster_rcnn.py
index 57a8ffb066280c2da35adaf55ea4f376111ee251..239af60780d06441c7a18183f50fc2b78003b8c4 100644
--- a/ppdet/modeling/architectures/faster_rcnn.py
+++ b/ppdet/modeling/architectures/faster_rcnn.py
@@ -224,7 +224,7 @@ class FasterRCNN(object):
             fields += ms_fields
             self.im_info_names = ['image', 'im_info'] + ms_fields
 
-        feed_vars = OrderedDict([(key, fluid.layers.data(
+        feed_vars = OrderedDict([(key, fluid.data(
             name=key,
             shape=inputs_def[key]['shape'],
             dtype=inputs_def[key]['dtype'],
diff --git a/ppdet/modeling/architectures/mask_rcnn.py b/ppdet/modeling/architectures/mask_rcnn.py
index 019a4bda70774b4f6ee9d0d6b14ad75d91af2209..3ae28983275ad311dc083d97d137283cb2dec6d2 100644
--- a/ppdet/modeling/architectures/mask_rcnn.py
+++ b/ppdet/modeling/architectures/mask_rcnn.py
@@ -314,7 +314,7 @@ class MaskRCNN(object):
                         'lod_level': 1
                     }
                 fields += box_fields
-        feed_vars = OrderedDict([(key, fluid.layers.data(
+        feed_vars = OrderedDict([(key, fluid.data(
             name=key,
             shape=inputs_def[key]['shape'],
             dtype=inputs_def[key]['dtype'],
diff --git a/ppdet/modeling/architectures/retinanet.py b/ppdet/modeling/architectures/retinanet.py
index e4613aedfeedd0f94e5c343bb151443720205f11..936a4ba4f9b8bf003186e0e2862d52e4d7c6149b 100644
--- a/ppdet/modeling/architectures/retinanet.py
+++ b/ppdet/modeling/architectures/retinanet.py
@@ -107,7 +107,7 @@ class RetinaNet(object):
             use_dataloader=True,
             iterable=False):
         inputs_def = self._inputs_def(image_shape)
-        feed_vars = OrderedDict([(key, fluid.layers.data(
+        feed_vars = OrderedDict([(key, fluid.data(
             name=key,
             shape=inputs_def[key]['shape'],
             dtype=inputs_def[key]['dtype'],