diff --git a/ppdet/modeling/heads/roi_extractor.py b/ppdet/modeling/heads/roi_extractor.py
index ef0d76e300..d1e2dfd451 100644
--- a/ppdet/modeling/heads/roi_extractor.py
+++ b/ppdet/modeling/heads/roi_extractor.py
@@ -68,7 +68,10 @@ def __init__(self,
         self.canonical_size = canonical_size
         self.start_level = start_level
         self.end_level = end_level
-        self.aligned = False # TODO: npu kernel do not support aligned=True
+        if 'npu' in paddle.device.get_device():
+            self.aligned = False
+        else:
+            self.aligned = aligned
 
     @classmethod
     def from_config(cls, cfg, input_shape):
diff --git a/ppdet/modeling/proposal_generator/target.py b/ppdet/modeling/proposal_generator/target.py
index 041b2c7915..e59a48005f 100644
--- a/ppdet/modeling/proposal_generator/target.py
+++ b/ppdet/modeling/proposal_generator/target.py
@@ -43,11 +43,13 @@ def rpn_anchor_target(anchors,
         fg_inds, bg_inds = subsample_labels(match_labels, rpn_batch_size_per_im,
                                             rpn_fg_fraction, 0, use_random)
         # Fill with the ignore label (-1), then set positive and negative labels
-        labels = paddle.full(match_labels.shape, -1, dtype='int32')
+        labels = paddle.full(match_labels.shape, -1, dtype='float32')
         if bg_inds.shape[0] > 0:
-            labels = paddle.scatter(labels, bg_inds, paddle.zeros_like(bg_inds))
+            bg_inds = bg_inds % labels.shape[0]
+            labels = paddle.scatter(labels, bg_inds, paddle.zeros_like(bg_inds, dtype=labels.dtype))
         if fg_inds.shape[0] > 0:
-            labels = paddle.scatter(labels, fg_inds, paddle.ones_like(fg_inds))
+            fg_inds = fg_inds % labels.shape[0]
+            labels = paddle.scatter(labels, fg_inds, paddle.ones_like(fg_inds, dtype=labels.dtype))
         # Step3: make output  
         if gt_bbox.shape[0] == 0:
             matched_gt_boxes = paddle.zeros([matches.shape[0], 4])