From 899c7056e8eba1deb561729b5f85ea450dc540d5 Mon Sep 17 00:00:00 2001
From: hnluo <42902471+hnluo@users.noreply.github.com>
Date: 星期三, 28 十二月 2022 12:28:31 +0800
Subject: [PATCH] Merge pull request #20 from alibaba-damo-academy/dev

---
 funasr/bin/asr_inference_paraformer.py |   12 ++++++------
 1 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/funasr/bin/asr_inference_paraformer.py b/funasr/bin/asr_inference_paraformer.py
index 5673403..09c61bc 100755
--- a/funasr/bin/asr_inference_paraformer.py
+++ b/funasr/bin/asr_inference_paraformer.py
@@ -92,8 +92,8 @@
         if asr_model.frontend is None and frontend_conf is not None:
             frontend = WavFrontend(**frontend_conf)
             asr_model.frontend = frontend
-        logging.info("asr_model: {}".format(asr_model))
-        logging.info("asr_train_args: {}".format(asr_train_args))
+        # logging.info("asr_model: {}".format(asr_model))
+        # logging.info("asr_train_args: {}".format(asr_train_args))
         asr_model.to(dtype=getattr(torch, dtype)).eval()
 
         ctc = CTCPrefixScorer(ctc=asr_model.ctc, eos=asr_model.eos)
@@ -141,8 +141,8 @@
         for scorer in scorers.values():
             if isinstance(scorer, torch.nn.Module):
                 scorer.to(device=device, dtype=getattr(torch, dtype)).eval()
-        logging.info(f"Beam_search: {beam_search}")
-        logging.info(f"Decoding device={device}, dtype={dtype}")
+        # logging.info(f"Beam_search: {beam_search}")
+        # logging.info(f"Decoding device={device}, dtype={dtype}")
 
         # 5. [Optional] Build Text converter: e.g. bpe-sym -> Text
         if token_type is None:
@@ -160,7 +160,7 @@
         else:
             tokenizer = build_tokenizer(token_type=token_type)
         converter = TokenIDConverter(token_list=token_list)
-        logging.info(f"Text tokenizer: {tokenizer}")
+        # logging.info(f"Text tokenizer: {tokenizer}")
 
         self.asr_model = asr_model
         self.asr_train_args = asr_train_args
@@ -426,7 +426,7 @@
         assert len(keys) == _bs, f"{len(keys)} != {_bs}"
         # batch = {k: v for k, v in batch.items() if not k.endswith("_lengths")}
 
-        logging.info("decoding, utt_id: {}".format(keys))
+        # logging.info("decoding, utt_id: {}".format(keys))
         # N-best list of (text, token, token_int, hyp_object)
 
         time_beg = time.time()

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