from local

egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py

@@ -835,6 +835,19 @@ def compute_loss(
     
     assert loss.requires_grad == is_training
 
+    if decode:
+        model.eval()
+        with torch.no_grad():
+            hypos = model.module.decode(
+                x=feature,
+                x_lens=feature_lens,
+                y=y,
+                sp=sp
+            )
+            logging.info(f'ref: {batch["supervisions"]["text"][0]}')
+            logging.info(f'hyp: {" ".join(hypos[0])}')
+        model.train()
+
     with warnings.catch_warnings():
         warnings.simplefilter("ignore")
         info["frames"] = (feature_lens // params.subsampling_factor).sum().item()