fix optimizer init

python/paddle/optimizer/__init__.py

@@ -13,14 +13,10 @@
 # limitations under the License.
 
 __all__ = [
-    'Adadelta', 'Adam', 'Adamax', 'AdamW', 'Momentum', 'MomentumOptimizer',
-    'RMSProp', 'SGD', 'SGDOptimizer', 'Optimizer', '_LRScheduler', 'NoamLR',
-    'PiecewiseLR', 'NaturalExpLR', 'InverseTimeLR', 'PolynomialLR',
-    'LinearLrWarmup', 'ExponentialLR', 'MultiStepLR', 'StepLR', 'LambdaLR',
-    'ReduceLROnPlateau', 'CosineAnnealingLR'
+    'Optimizer', 'Adagrad', 'Adam', 'AdamW', 'Adamax', 'RMSProp', 'Adadelta',
+    'SGD', 'Momentum', 'lr'
 ]
 
-
 from .optimizer import Optimizer
 from .adagrad import Adagrad
 from .adam import Adam
@@ -30,5 +26,4 @@
 from .adadelta import Adadelta
 from .sgd import SGD
 from .momentum import Momentum
-
 from . import lr

python/paddle/optimizer/lr.py

@@ -30,7 +30,7 @@ class LRScheduler(object):
 
     LRScheduler Base class. Define the common interface of a learning rate scheduler.
 
-    User can import it by ``form paddle.optimizer.lr import LRScheduler`` ,
+    User can import it by ``from paddle.optimizer.lr import LRScheduler`` ,
 
     then overload it for your subclass and have a custom implementation of ``get_lr()`` .
 
@@ -50,7 +50,7 @@ class LRScheduler(object):
         .. code-block:: python
 
             import paddle
-            form paddle.optimizer.lr import LRScheduler
+            from paddle.optimizer.lr import LRScheduler
 
             class StepDecay(LRScheduler):
                 def __init__(self,

tools/wlist.json

@@ -24,6 +24,8 @@
         }
     ],
     "wlist_temp_api":[
+        "LRScheduler",
+        "ReduceOnPlateau",
         "append_LARS",
         "BuildStrategy.debug_graphviz_path",
         "BuildStrategy.enable_sequential_execution",