diff --git a/ppdet/modeling/anchor_heads/solov2_head.py b/ppdet/modeling/anchor_heads/solov2_head.py
index 18546593a4a7dd3cdf987d4cf2de3d9b06c08019..21cdad72941a8ca0d3672b81b216f45be66a6fc1 100644
--- a/ppdet/modeling/anchor_heads/solov2_head.py
+++ b/ppdet/modeling/anchor_heads/solov2_head.py
@@ -24,8 +24,6 @@ from paddle.fluid.regularizer import L2Decay
 from ppdet.modeling.ops import ConvNorm, DeformConvNorm, MaskMatrixNMS, DropBlock
 from ppdet.core.workspace import register
 
-from ppdet.utils.check import check_version
-
 from six.moves import zip
 import numpy as np
 
@@ -71,7 +69,6 @@ class SOLOv2Head(object):
                      kernel='gaussian',
                      sigma=2.0).__dict__,
                  drop_block=False):
-        check_version('2.0.0-rc0')
         self.num_classes = num_classes
         self.seg_num_grids = num_grids
         self.cate_out_channels = self.num_classes - 1
diff --git a/ppdet/modeling/anchor_heads/ttf_head.py b/ppdet/modeling/anchor_heads/ttf_head.py
index 8640b3f48b70cad16eaa947bc459be987c26dc38..ba9ec802e80cc37afd4bce8c157b7840eb3ec289 100644
--- a/ppdet/modeling/anchor_heads/ttf_head.py
+++ b/ppdet/modeling/anchor_heads/ttf_head.py
@@ -348,7 +348,11 @@ class TTFHead(object):
         return pred, target, weight
 
     def get_loss(self, pred_hm, pred_wh, target_hm, box_target, target_weight):
-        pred_hm = paddle.clip(fluid.layers.sigmoid(pred_hm), 1e-4, 1 - 1e-4)
+        try:
+            pred_hm = paddle.clip(fluid.layers.sigmoid(pred_hm), 1e-4, 1 - 1e-4)
+        except:
+            pred_hm = paddle.tensor.clamp(
+                fluid.layers.sigmoid(pred_hm), 1e-4, 1 - 1e-4)
         hm_loss = self.ct_focal_loss(pred_hm, target_hm) * self.hm_weight
         shape = fluid.layers.shape(target_hm)
         shape.stop_gradient = True
diff --git a/ppdet/modeling/architectures/cascade_mask_rcnn.py b/ppdet/modeling/architectures/cascade_mask_rcnn.py
index 0e2b23556174d097b4afcb2d9d36589af0d472c6..0fc5bb135260a9ea66369ccc49d4fb12094059d2 100644
--- a/ppdet/modeling/architectures/cascade_mask_rcnn.py
+++ b/ppdet/modeling/architectures/cascade_mask_rcnn.py
@@ -23,6 +23,7 @@ import paddle.fluid as fluid
 
 from ppdet.experimental import mixed_precision_global_state
 from ppdet.core.workspace import register
+from ppdet.utils.check import check_version
 
 from .input_helper import multiscale_def
 
@@ -62,6 +63,7 @@ class CascadeMaskRCNN(object):
                  rpn_only=False,
                  fpn='FPN'):
         super(CascadeMaskRCNN, self).__init__()
+        check_version('2.0.0-rc0')
         assert fpn is not None, "cascade RCNN requires FPN"
         self.backbone = backbone
         self.fpn = fpn
diff --git a/ppdet/modeling/architectures/cascade_rcnn.py b/ppdet/modeling/architectures/cascade_rcnn.py
index ee72eca40709505ea51c3c7d3a8ff510a0199eec..e018caeae47bc23599c52703f4f81595e566e027 100644
--- a/ppdet/modeling/architectures/cascade_rcnn.py
+++ b/ppdet/modeling/architectures/cascade_rcnn.py
@@ -23,6 +23,7 @@ import paddle.fluid as fluid
 
 from ppdet.experimental import mixed_precision_global_state
 from ppdet.core.workspace import register
+from ppdet.utils.check import check_version
 from .input_helper import multiscale_def
 
 __all__ = ['CascadeRCNN']
@@ -57,6 +58,7 @@ class CascadeRCNN(object):
                  rpn_only=False,
                  fpn='FPN'):
         super(CascadeRCNN, self).__init__()
+        check_version('2.0.0-rc0')
         assert fpn is not None, "cascade RCNN requires FPN"
         self.backbone = backbone
         self.fpn = fpn
diff --git a/ppdet/modeling/architectures/cascade_rcnn_cls_aware.py b/ppdet/modeling/architectures/cascade_rcnn_cls_aware.py
index 5eeb1bffb78147a7a5da6742e1517e6502e1d83e..837d87e974642ffaf213c96f33660016fa1057d7 100644
--- a/ppdet/modeling/architectures/cascade_rcnn_cls_aware.py
+++ b/ppdet/modeling/architectures/cascade_rcnn_cls_aware.py
@@ -24,6 +24,7 @@ import copy
 
 import paddle.fluid as fluid
 from ppdet.core.workspace import register
+from ppdet.utils.check import check_version
 from .input_helper import multiscale_def
 
 __all__ = ['CascadeRCNNClsAware']
@@ -60,6 +61,7 @@ class CascadeRCNNClsAware(object):
             bbox_assigner='CascadeBBoxAssigner',
             fpn='FPN', ):
         super(CascadeRCNNClsAware, self).__init__()
+        check_version('2.0.0-rc0')
         assert fpn is not None, "cascade RCNN requires FPN"
         self.backbone = backbone
         self.fpn = fpn
diff --git a/ppdet/modeling/architectures/htc.py b/ppdet/modeling/architectures/htc.py
index 16c2909161265ceb0abbf0de44355867ccae37a2..c20822f85ed1920523d8f98f4b11356c4ad3ed46 100644
--- a/ppdet/modeling/architectures/htc.py
+++ b/ppdet/modeling/architectures/htc.py
@@ -26,6 +26,7 @@ from paddle.fluid.initializer import MSRA
 from paddle.fluid.regularizer import L2Decay
 from ppdet.experimental import mixed_precision_global_state
 from ppdet.core.workspace import register
+from ppdet.utils.check import check_version
 
 from .input_helper import multiscale_def
 
@@ -70,6 +71,7 @@ class HybridTaskCascade(object):
                  rpn_only=False,
                  fpn='FPN'):
         super(HybridTaskCascade, self).__init__()
+        check_version('2.0.0-rc0')
         assert fpn is not None, "HTC requires FPN"
         self.backbone = backbone
         self.fpn = fpn
diff --git a/ppdet/modeling/architectures/solov2.py b/ppdet/modeling/architectures/solov2.py
index 9fc5ef34a368515b044e780935f2da7ad0ca63af..6c590e4a932c7a295717c9a8e9cfc01b8ddc1971 100644
--- a/ppdet/modeling/architectures/solov2.py
+++ b/ppdet/modeling/architectures/solov2.py
@@ -22,6 +22,7 @@ from paddle import fluid
 
 from ppdet.experimental import mixed_precision_global_state
 from ppdet.core.workspace import register
+from ppdet.utils.check import check_version
 
 __all__ = ['SOLOv2']
 
@@ -47,6 +48,7 @@ class SOLOv2(object):
                  bbox_head='SOLOv2Head',
                  mask_head='SOLOv2MaskHead'):
         super(SOLOv2, self).__init__()
+        check_version('2.0.0-rc0')
         self.backbone = backbone
         self.fpn = fpn
         self.bbox_head = bbox_head