Move targets & lengths to CPU

egs/librispeech/ASR/zipformer/model.py

@@ -164,9 +164,9 @@ class AsrModel(nn.Module):
 
         ctc_loss = torch.nn.functional.ctc_loss(
             log_probs=ctc_output.permute(1, 0, 2),  # (T, N, C)
-            targets=targets.to(torch.long),
-            input_lengths=encoder_out_lens.to(torch.long),
-            target_lengths=target_lengths.to(torch.long),
+            targets=targets.cpu(),
+            input_lengths=encoder_out_lens.cpu(),
+            target_lengths=target_lengths.cpu(),
             reduction="sum",
         )
         return ctc_loss