[kws] update cross_entropy loss

replace nn.CrossEntropyLoss() with F.cross_entropy()

kws/model/loss.py

@@ -14,6 +14,7 @@
 
 import torch
 import torch.nn as nn
+import torch.nn.functional as F
 
 from kws.utils.mask import padding_mask
 
@@ -105,8 +106,7 @@ def cross_entropy(logits: torch.Tensor, target: torch.Tensor):
         (float): loss of current batch
         (float): accuracy of current batch
     """
-    cross_entropy = nn.CrossEntropyLoss()
+    loss = F.cross_entropy(logits, target)
-    loss = cross_entropy(logits, target)
     acc = acc_frame(logits, target)
     return loss, acc