From 741d089eb9dd9be7b6e2cabbd40fc0a784eb38f3 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期三, 21 二月 2024 16:28:58 +0800
Subject: [PATCH] Merge branch 'main' of github.com:alibaba-damo-academy/FunASR merge

---
 funasr/models/seaco_paraformer/model.py |   15 +++++++--------
 1 files changed, 7 insertions(+), 8 deletions(-)

diff --git a/funasr/models/seaco_paraformer/model.py b/funasr/models/seaco_paraformer/model.py
index 1867bbf..caf2b15 100644
--- a/funasr/models/seaco_paraformer/model.py
+++ b/funasr/models/seaco_paraformer/model.py
@@ -66,7 +66,6 @@
   
         # bias encoder
         if self.bias_encoder_type == 'lstm':
-            logging.warning("enable bias encoder sampling and contextual training")
             self.bias_encoder = torch.nn.LSTM(self.inner_dim, 
                                               self.inner_dim, 
                                               2, 
@@ -79,7 +78,6 @@
                 self.lstm_proj = None
             self.bias_embed = torch.nn.Embedding(self.vocab_size, self.inner_dim)
         elif self.bias_encoder_type == 'mean':
-            logging.warning("enable bias encoder sampling and contextual training")
             self.bias_embed = torch.nn.Embedding(self.vocab_size, self.inner_dim)
         else:
             logging.error("Unsupport bias encoder type: {}".format(self.bias_encoder_type))
@@ -337,7 +335,7 @@
         
         speech = speech.to(device=kwargs["device"])
         speech_lengths = speech_lengths.to(device=kwargs["device"])
-
+        
         # hotword
         self.hotword_list = self.generate_hotwords_list(kwargs.get("hotword", None), tokenizer=tokenizer, frontend=frontend)
         
@@ -387,9 +385,11 @@
                 nbest_hyps = [Hypothesis(yseq=yseq, score=score)]
             for nbest_idx, hyp in enumerate(nbest_hyps):
                 ibest_writer = None
-                if ibest_writer is None and kwargs.get("output_dir") is not None:
-                    writer = DatadirWriter(kwargs.get("output_dir"))
-                    ibest_writer = writer[f"{nbest_idx + 1}best_recog"]
+                if kwargs.get("output_dir") is not None:
+                    if not hasattr(self, "writer"):
+                        self.writer = DatadirWriter(kwargs.get("output_dir"))
+                    ibest_writer = self.writer[f"{nbest_idx + 1}best_recog"]
+                    
                 # remove sos/eos and get results
                 last_pos = -1
                 if isinstance(hyp.yseq, list):
@@ -415,12 +415,11 @@
                         token, timestamp)
 
                     result_i = {"key": key[i], "text": text_postprocessed,
-                                "timestamp": time_stamp_postprocessed,
+                                "timestamp": time_stamp_postprocessed
                                 }
                     
                     if ibest_writer is not None:
                         ibest_writer["token"][key[i]] = " ".join(token)
-                        # ibest_writer["text"][key[i]] = text
                         ibest_writer["timestamp"][key[i]] = time_stamp_postprocessed
                         ibest_writer["text"][key[i]] = text_postprocessed
                 else:

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