diff --git a/ppocr/losses/rec_nrtr_loss.py b/ppocr/losses/rec_nrtr_loss.py
index 76cd36b67b28063130b23ae362e93cdb168e9248..200a6d0486dbf6f76dd674eb58f641b31a70f31c 100644
--- a/ppocr/losses/rec_nrtr_loss.py
+++ b/ppocr/losses/rec_nrtr_loss.py
@@ -22,7 +22,7 @@ class NRTRLoss(nn.Layer):
             log_prb = F.log_softmax(pred, axis=1)
             non_pad_mask = paddle.not_equal(
                 tgt, paddle.zeros(
-                    tgt.shape, dtype='int32'))
+                    tgt.shape, dtype=tgt.dtype))
             loss = -(one_hot * log_prb).sum(axis=1)
             loss = loss.masked_select(non_pad_mask).mean()
         else:
diff --git a/ppocr/postprocess/rec_postprocess.py b/ppocr/postprocess/rec_postprocess.py
index 07efd972008bd37e7fd46549b58c1ce58a48cbc7..c0d8bab5fa689800b4b2b235c94501bc15284346 100644
--- a/ppocr/postprocess/rec_postprocess.py
+++ b/ppocr/postprocess/rec_postprocess.py
@@ -168,14 +168,6 @@ class NRTRLabelDecode(BaseRecLabelDecode):
                                              character_type, use_space_char)
 
     def __call__(self, preds, label=None, *args, **kwargs):
-        if preds.dtype == paddle.int64:
-            if isinstance(preds, paddle.Tensor):
-                preds = preds.numpy()
-            if preds[0][0]==2:
-                preds_idx = preds[:,1:]
-            else:
-                preds_idx = preds
-
         if len(preds) == 2:
             preds_id = preds[0]
             preds_prob = preds[1]