From c0008fd46134d60a3a41b022bf9156cea5b145e5 Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 11 十二月 2023 10:10:40 +0800
Subject: [PATCH] Merge branch 'dev_gzf_funasr2' into main

---
 funasr/models/e2e_asr_paraformer.py |    7 ++++++-
 1 files changed, 6 insertions(+), 1 deletions(-)

diff --git a/funasr/models/e2e_asr_paraformer.py b/funasr/models/e2e_asr_paraformer.py
index 0e0b95b..6b1d824 100644
--- a/funasr/models/e2e_asr_paraformer.py
+++ b/funasr/models/e2e_asr_paraformer.py
@@ -256,6 +256,7 @@
         # force_gatherable: to-device and to-tensor if scalar for DataParallel
         if self.length_normalized_loss:
             batch_size = int((text_lengths + self.predictor_bias).sum())
+
         loss, stats, weight = force_gatherable((loss, stats, batch_size), loss.device)
         return loss, stats, weight
 
@@ -868,6 +869,7 @@
         # force_gatherable: to-device and to-tensor if scalar for DataParallel
         if self.length_normalized_loss:
             batch_size = int((text_lengths + self.predictor_bias).sum())
+
         loss, stats, weight = force_gatherable((loss, stats, batch_size), loss.device)
         return loss, stats, weight
 
@@ -1495,6 +1497,7 @@
         # force_gatherable: to-device and to-tensor if scalar for DataParallel
         if self.length_normalized_loss:
             batch_size = int((text_lengths + self.predictor_bias).sum())
+
         loss, stats, weight = force_gatherable((loss, stats, batch_size), loss.device)
         return loss, stats, weight
 
@@ -1766,6 +1769,7 @@
         # force_gatherable: to-device and to-tensor if scalar for DataParallel
         if self.length_normalized_loss:
             batch_size = int((text_lengths + self.predictor_bias).sum())
+
         loss, stats, weight = force_gatherable((loss, stats, batch_size), loss.device)
         return loss, stats, weight
 
@@ -1968,6 +1972,7 @@
         # force_gatherable: to-device and to-tensor if scalar for DataParallel
         if self.length_normalized_loss:
             batch_size = int((text_lengths + self.predictor_bias).sum())
+
         loss, stats, weight = force_gatherable((loss, stats, batch_size), loss.device)
         return loss, stats, weight
 
@@ -2262,4 +2267,4 @@
                     "torch tensor: {}, {}, loading from tf tensor: {}, {}".format(name, data_tf.size(), name_tf,
                                                                                   var_dict_tf[name_tf].shape))
 
-        return var_dict_torch_update
+        return var_dict_torch_update
\ No newline at end of file

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