save one name in cross_entropy and softmax_cross_entropy, test=develop (#29074)

* save one name in cross_entropy and softmax_cross_entropy, test=develop

* change used function in CrossEntropy from softmax_cross_entropy to cross_entropy, test=develop

python/paddle/nn/functional/__init__.py

@@ -129,7 +129,6 @@ from .loss import binary_cross_entropy_with_logits  #DEFINE_ALIAS
 # from .loss import bpr_loss  #DEFINE_ALIAS
 # from .loss import center_loss  #DEFINE_ALIAS
 #from .loss import cross_entropy  #DEFINE_ALIAS
-from .loss import softmax_cross_entropy  #DEFINE_ALIAS
 from .loss import cross_entropy  #DEFINE_ALIAS
 from .loss import dice_loss  #DEFINE_ALIAS
 from .loss import hsigmoid_loss  #DEFINE_ALIAS

python/paddle/nn/functional/loss.py

@@ -42,7 +42,6 @@ __all__ = [
     'binary_cross_entropy',
     'binary_cross_entropy_with_logits',
     'cross_entropy',
-    'softmax_cross_entropy',
     'dice_loss',
     'hsigmoid_loss',
     'kl_div',
@@ -1125,25 +1124,6 @@ def cross_entropy(input,
                   soft_label=False,
                   axis=-1,
                   name=None):
-    return softmax_cross_entropy(
-        input=input,
-        label=label,
-        weight=weight,
-        ignore_index=ignore_index,
-        reduction=reduction,
-        soft_label=soft_label,
-        axis=axis,
-        name=name)
-
-
-def softmax_cross_entropy(input,
-                          label,
-                          weight=None,
-                          ignore_index=-100,
-                          reduction='mean',
-                          soft_label=False,
-                          axis=-1,
-                          name=None):
     """
     This operator implements the cross entropy loss function with softmax. This function 
     combines the calculation of the softmax operation and the cross entropy loss function 

python/paddle/nn/layer/loss.py

@@ -238,7 +238,7 @@ class CrossEntropyLoss(fluid.dygraph.Layer):
         self.name = name
 
     def forward(self, input, label):
-        ret = paddle.nn.functional.softmax_cross_entropy(
+        ret = paddle.nn.functional.cross_entropy(
             input,
             label,
             weight=self.weight,