From 2bffe1d5392b291c071cde0ffcc03860abdfc230 Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期三, 28 二月 2024 14:52:05 +0800
Subject: [PATCH] test

---
 funasr/models/lcbnet/model.py |   11 +++++++----
 1 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/funasr/models/lcbnet/model.py b/funasr/models/lcbnet/model.py
index 1acce78..f45e71d 100644
--- a/funasr/models/lcbnet/model.py
+++ b/funasr/models/lcbnet/model.py
@@ -21,6 +21,7 @@
 from funasr.utils import postprocess_utils
 from funasr.utils.datadir_writer import DatadirWriter
 from funasr.register import tables
+
 import pdb
 @tables.register("model_classes", "LCBNet")
 class LCBNet(nn.Module):
@@ -91,6 +92,7 @@
         fusion_encoder = fusion_encoder_class(**fusion_encoder_conf)
         bias_predictor_class = tables.encoder_classes.get(bias_predictor)
         bias_predictor = bias_predictor_class(**bias_predictor_conf)
+
 
         if decoder is not None:
             decoder_class = tables.decoder_classes.get(decoder)
@@ -272,15 +274,15 @@
                 ind: int
         """
         with autocast(False):
-
+            pdb.set_trace()
             # Data augmentation
             if self.specaug is not None and self.training:
                 speech, speech_lengths = self.specaug(speech, speech_lengths)
-            
+            pdb.set_trace()
             # Normalization for feature: e.g. Global-CMVN, Utterance-CMVN
             if self.normalize is not None:
                 speech, speech_lengths = self.normalize(speech, speech_lengths)
-        
+        pdb.set_trace()
         # Forward encoder
         # feats: (Batch, Length, Dim)
         # -> encoder_out: (Batch, Length2, Dim2)
@@ -297,7 +299,7 @@
         
         if intermediate_outs is not None:
             return (encoder_out, intermediate_outs), encoder_out_lens
-        
+        pdb.set_trace()
         return encoder_out, encoder_out_lens
     
     def _calc_att_loss(
@@ -442,6 +444,7 @@
 
         speech = speech.to(device=kwargs["device"])
         speech_lengths = speech_lengths.to(device=kwargs["device"])
+        pdb.set_trace()
         # Encoder
         encoder_out, encoder_out_lens = self.encode(speech, speech_lengths)
         if isinstance(encoder_out, tuple):

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