diff --git a/core/pipeline.py b/core/pipeline.py
index e295c87..f3558f5 100644
--- a/core/pipeline.py
+++ b/core/pipeline.py
@@ -108,7 +108,10 @@ class NBVReconstructionPipeline(nn.Module):
             partial_point_feat_seq = []
             for j in range(seq_len):
                 partial_per_point_feat = per_point_feat[scanned_pts_mask[j]]
-                partial_point_feat = torch.mean(partial_per_point_feat, dim=0) # Tensor(Dp)
+                if partial_per_point_feat.shape[0] == 0:
+                    partial_point_feat = torch.zeros(per_point_feat.shape[1], device=device)
+                else:
+                    partial_point_feat = torch.mean(partial_per_point_feat, dim=0) # Tensor(Dp)
                 partial_point_feat_seq.append(partial_point_feat)
             partial_point_feat_seq = torch.stack(partial_point_feat_seq, dim=0) # Tensor(S x Dp)
             
@@ -122,6 +125,13 @@ class NBVReconstructionPipeline(nn.Module):
         main_feat = torch.cat([seq_feat, global_scanned_feat], dim=-1) # Tensor(B x (Ds+Dg))
 
         if torch.isnan(main_feat).any():
+            for i in range(len(main_feat)):
+                if torch.isnan(main_feat[i]).any():
+                    scanned_pts_mask = scanned_pts_mask_batch[i]
+                    Log.info(f"scanned_pts_mask shape: {scanned_pts_mask.shape}")
+                    Log.info(f"scanned_pts_mask sum: {scanned_pts_mask.sum()}")
+                    import ipdb
+                    ipdb.set_trace()
             Log.error("nan in main_feat", True)
 
         return main_feat