api version fix

configs/retinanet_r50_fpn_1x.py

@@ -30,9 +30,8 @@ model = dict(
         target_stds=[1.0, 1.0, 1.0, 1.0]))
 # training and testing settings
 train_cfg = dict(
-    pos_iou_thr=0.5,
-    neg_iou_thr=0.4,
-    min_pos_iou=0.4,
+    assigner=dict(
+        pos_iou_thr=0.5, neg_iou_thr=0.4, min_pos_iou=0.4, ignore_iof_thr=-1),
     smoothl1_beta=0.11,
     gamma=2.0,
     alpha=0.25,

mmdet/core/anchor/anchor_target.py

@@ -121,8 +121,8 @@ def anchor_target_single(flat_anchors,
     num_valid_anchors = anchors.shape[0]
     bbox_targets = torch.zeros_like(anchors)
     bbox_weights = torch.zeros_like(anchors)
-    labels = anchors.new_zeros((num_valid_anchors, ))
-    label_weights = anchors.new_zeros((num_valid_anchors, ))
+    labels = gt_labels.new_zeros(num_valid_anchors)
+    label_weights = gt_labels.new_zeros(num_valid_anchors, dtype=torch.float)
 
     pos_inds = sampling_result.pos_inds
     neg_inds = sampling_result.neg_inds