From 23e7ddebccd3b05cf7ef89809bcfe565ad6dfa1f Mon Sep 17 00:00:00 2001
From: majic31 <majic31@163.com>
Date: 星期二, 24 十二月 2024 10:00:14 +0800
Subject: [PATCH] Fix the variable name (#2328)

---
 funasr/losses/label_smoothing_loss.py |   10 +++-------
 1 files changed, 3 insertions(+), 7 deletions(-)

diff --git a/funasr/losses/label_smoothing_loss.py b/funasr/losses/label_smoothing_loss.py
index 385025d..ffc38da 100644
--- a/funasr/losses/label_smoothing_loss.py
+++ b/funasr/losses/label_smoothing_loss.py
@@ -65,11 +65,7 @@
 
 
 class SequenceBinaryCrossEntropy(nn.Module):
-    def __init__(
-            self,
-            normalize_length=False,
-            criterion=nn.BCEWithLogitsLoss(reduction="none")
-    ):
+    def __init__(self, normalize_length=False, criterion=nn.BCEWithLogitsLoss(reduction="none")):
         super().__init__()
         self.normalize_length = normalize_length
         self.criterion = criterion
@@ -95,7 +91,7 @@
         size,
         padding_idx,
         normalize_length=False,
-        criterion=nn.NLLLoss(reduction='none'),
+        criterion=nn.NLLLoss(reduction="none"),
     ):
         """Construct an NllLoss object."""
         super(NllLoss, self).__init__()
@@ -122,6 +118,6 @@
             ignore = target == self.padding_idx  # (B,)
             total = len(target) - ignore.sum().item()
             target = target.masked_fill(ignore, 0)  # avoid -1 index
-        kl = self.criterion(x , target)
+        kl = self.criterion(x, target)
         denom = total if self.normalize_length else batch_size
         return kl.masked_fill(ignore, 0).sum() / denom

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