Don't modify labels inplace in LabelSmoother (#13464)

src/transformers/trainer_pt_utils.py

@@ -458,7 +458,7 @@ class LabelSmoother:
         padding_mask = labels.eq(self.ignore_index)
         # In case the ignore_index is -100, the gather will fail, so we replace labels by 0. The padding_mask
         # will ignore them in any case.
-        labels.clamp_min_(0)
+        labels = torch.clamp(labels, min=0)
         nll_loss = log_probs.gather(dim=-1, index=labels)
         # works for fp16 input tensor too, by internally upcasting it to fp32
         smoothed_loss = log_probs.sum(dim=-1, keepdim=True, dtype=torch.float32)