[Eager, Performance optimization] use Python-C interface directly (#45598)

python/paddle/nn/functional/loss.py

@@ -1254,11 +1254,8 @@ def l1_loss(input, label, reduction='mean', name=None):
             "received %s, which is not allowed." % reduction)
 
     if in_dygraph_mode():
-        unreduced = _elementwise_op_in_dygraph(input,
-                                               label,
-                                               axis=-1,
-                                               act='abs',
-                                               op_name='elementwise_sub')
+        unreduced = _C_ops.abs(_C_ops.subtract(input, label))
+
         if reduction == 'mean':
             return _C_ops.mean_all(unreduced)
         elif reduction == 'sum':

python/paddle/tensor/math.py

@@ -737,7 +737,9 @@ def floor_divide(x, y, name=None):
     """
     op_type = 'elementwise_floordiv'
     axis = -1
-    if paddle.in_dynamic_mode():
+    if in_dygraph_mode():
+        return _C_ops.floor_divide(x, y)
+    elif _in_legacy_dygraph():
         return _elementwise_op_in_dygraph(
             x, y, axis=axis, op_name=op_type)
 
@@ -777,7 +779,10 @@ def remainder(x, y, name=None):
     """
     op_type = 'elementwise_mod'
     axis = -1
-    if paddle.in_dynamic_mode():
+
+    if in_dygraph_mode():
+        return _C_ops.remainder(x, y)
+    elif _in_legacy_dygraph():
         return _elementwise_op_in_dygraph(
             x, y, axis=axis, op_name=op_type)
 
@@ -913,7 +918,9 @@ def maximum(x, y, name=None):
     op_type = 'elementwise_max'
     axis = -1
     act = None
-    if paddle.in_dynamic_mode():
+    if in_dygraph_mode():
+        return _C_ops.maximum(x, y)
+    elif _in_legacy_dygraph():
         return _elementwise_op_in_dygraph(
             x, y, axis=axis, act=act, op_name=op_type)
     return _elementwise_op(LayerHelper(op_type, **locals()))
@@ -972,7 +979,9 @@ def minimum(x, y, name=None):
     op_type = 'elementwise_min'
     axis = -1
     act = None
-    if paddle.in_dynamic_mode():
+    if in_dygraph_mode():
+        return _C_ops.minimum(x, y)
+    elif _in_legacy_dygraph():
         return _elementwise_op_in_dygraph(
             x, y, axis=axis, act=act, op_name=op_type)
     return _elementwise_op(LayerHelper(op_type, **locals()))